From 63436373d22566a13f4f6afbcb4acb742227d09d Mon Sep 17 00:00:00 2001 From: Adeeb Shihadeh Date: Sun, 30 Aug 2020 18:23:23 -0700 Subject: [PATCH] Remove opencv from phonelibs (#2107) * remove opencv from phonelibs * clean that up too --- SConstruct | 1 - .../opencv/include/opencv2/core/affine.hpp | 515 -- .../opencv/include/opencv2/core/core.hpp | 4935 ----------------- .../opencv/include/opencv2/core/core_c.h | 1886 ------- .../include/opencv2/core/cuda_devptrs.hpp | 194 - .../opencv/include/opencv2/core/devmem2d.hpp | 43 - .../opencv/include/opencv2/core/eigen.hpp | 280 - .../opencv/include/opencv2/core/gpumat.hpp | 563 -- .../opencv/include/opencv2/core/internal.hpp | 799 --- phonelibs/opencv/include/opencv2/core/mat.hpp | 2635 --------- .../include/opencv2/core/opengl_interop.hpp | 284 - .../core/opengl_interop_deprecated.hpp | 300 - .../include/opencv2/core/operations.hpp | 4126 -------------- .../opencv/include/opencv2/core/types_c.h | 1932 ------- .../opencv/include/opencv2/core/version.hpp | 72 - .../opencv/include/opencv2/core/wimage.hpp | 621 --- .../include/opencv2/features2d/features2d.hpp | 1574 ------ .../opencv/include/opencv2/highgui/cap_ios.h | 171 - .../include/opencv2/highgui/highgui.hpp | 255 - .../include/opencv2/highgui/highgui_c.h | 660 --- .../opencv/include/opencv2/highgui/ios.h | 49 - .../include/opencv2/imgproc/imgproc.hpp | 1299 ----- .../include/opencv2/imgproc/imgproc_c.h | 623 --- .../opencv/include/opencv2/imgproc/types_c.h | 640 --- selfdrive/camerad/SConscript | 2 +- 25 files changed, 1 insertion(+), 24458 deletions(-) delete mode 100644 phonelibs/opencv/include/opencv2/core/affine.hpp delete mode 100644 phonelibs/opencv/include/opencv2/core/core.hpp delete mode 100644 phonelibs/opencv/include/opencv2/core/core_c.h delete mode 100644 phonelibs/opencv/include/opencv2/core/cuda_devptrs.hpp delete mode 100644 phonelibs/opencv/include/opencv2/core/devmem2d.hpp delete mode 100644 phonelibs/opencv/include/opencv2/core/eigen.hpp delete mode 100644 phonelibs/opencv/include/opencv2/core/gpumat.hpp delete mode 100644 phonelibs/opencv/include/opencv2/core/internal.hpp delete mode 100644 phonelibs/opencv/include/opencv2/core/mat.hpp delete mode 100644 phonelibs/opencv/include/opencv2/core/opengl_interop.hpp delete mode 100644 phonelibs/opencv/include/opencv2/core/opengl_interop_deprecated.hpp delete mode 100644 phonelibs/opencv/include/opencv2/core/operations.hpp delete mode 100644 phonelibs/opencv/include/opencv2/core/types_c.h delete mode 100644 phonelibs/opencv/include/opencv2/core/version.hpp delete mode 100644 phonelibs/opencv/include/opencv2/core/wimage.hpp delete mode 100644 phonelibs/opencv/include/opencv2/features2d/features2d.hpp delete mode 100644 phonelibs/opencv/include/opencv2/highgui/cap_ios.h delete mode 100644 phonelibs/opencv/include/opencv2/highgui/highgui.hpp delete mode 100644 phonelibs/opencv/include/opencv2/highgui/highgui_c.h delete mode 100644 phonelibs/opencv/include/opencv2/highgui/ios.h delete mode 100644 phonelibs/opencv/include/opencv2/imgproc/imgproc.hpp delete mode 100644 phonelibs/opencv/include/opencv2/imgproc/imgproc_c.h delete mode 100644 phonelibs/opencv/include/opencv2/imgproc/types_c.h diff --git a/SConstruct b/SConstruct index 3dffd914ad..9f781309d6 100644 --- a/SConstruct +++ b/SConstruct @@ -143,7 +143,6 @@ env = Environment( "#phonelibs/openmax/include", "#phonelibs/json11", "#phonelibs/curl/include", - #"#phonelibs/opencv/include", # use opencv4 instead "#phonelibs/libgralloc/include", "#phonelibs/android_frameworks_native/include", "#phonelibs/android_hardware_libhardware/include", diff --git a/phonelibs/opencv/include/opencv2/core/affine.hpp b/phonelibs/opencv/include/opencv2/core/affine.hpp deleted file mode 100644 index 216e9621c9..0000000000 --- a/phonelibs/opencv/include/opencv2/core/affine.hpp +++ /dev/null @@ -1,515 +0,0 @@ -/*M/////////////////////////////////////////////////////////////////////////////////////// -// -// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING. -// -// By downloading, copying, installing or using the software you agree to this license. -// If you do not agree to this license, do not download, install, -// copy or use the software. -// -// -// License Agreement -// For Open Source Computer Vision Library -// -// Copyright (C) 2000-2008, Intel Corporation, all rights reserved. -// Copyright (C) 2009, Willow Garage Inc., all rights reserved. -// Copyright (C) 2013, OpenCV Foundation, all rights reserved. -// Third party copyrights are property of their respective owners. -// -// Redistribution and use in source and binary forms, with or without modification, -// are permitted provided that the following conditions are met: -// -// * Redistribution's of source code must retain the above copyright notice, -// this list of conditions and the following disclaimer. -// -// * Redistribution's in binary form must reproduce the above copyright notice, -// this list of conditions and the following disclaimer in the documentation -// and/or other materials provided with the distribution. -// -// * The name of the copyright holders may not be used to endorse or promote products -// derived from this software without specific prior written permission. -// -// This software is provided by the copyright holders and contributors "as is" and -// any express or implied warranties, including, but not limited to, the implied -// warranties of merchantability and fitness for a particular purpose are disclaimed. -// In no event shall the Intel Corporation or contributors be liable for any direct, -// indirect, incidental, special, exemplary, or consequential damages -// (including, but not limited to, procurement of substitute goods or services; -// loss of use, data, or profits; or business interruption) however caused -// and on any theory of liability, whether in contract, strict liability, -// or tort (including negligence or otherwise) arising in any way out of -// the use of this software, even if advised of the possibility of such damage. -// -//M*/ - -#ifndef __OPENCV_CORE_AFFINE3_HPP__ -#define __OPENCV_CORE_AFFINE3_HPP__ - -#ifdef __cplusplus - -#include - -/*! @file */ - -namespace cv -{ - template - class Affine3 - { - public: - typedef T float_type; - typedef Matx Mat3; - typedef Matx Mat4; - typedef Vec Vec3; - - Affine3(); - - //Augmented affine matrix - Affine3(const Mat4& affine); - - //Rotation matrix - Affine3(const Mat3& R, const Vec3& t = Vec3::all(0)); - - //Rodrigues vector - Affine3(const Vec3& rvec, const Vec3& t = Vec3::all(0)); - - //Combines all contructors above. Supports 4x4, 4x3, 3x3, 1x3, 3x1 sizes of data matrix - explicit Affine3(const Mat& data, const Vec3& t = Vec3::all(0)); - - //From 16th element array - explicit Affine3(const float_type* vals); - - static Affine3 Identity(); - - //Rotation matrix - void rotation(const Mat3& R); - - //Rodrigues vector - void rotation(const Vec3& rvec); - - //Combines rotation methods above. Suports 3x3, 1x3, 3x1 sizes of data matrix; - void rotation(const Mat& data); - - void linear(const Mat3& L); - void translation(const Vec3& t); - - Mat3 rotation() const; - Mat3 linear() const; - Vec3 translation() const; - - //Rodrigues vector - Vec3 rvec() const; - - Affine3 inv(int method = cv::DECOMP_SVD) const; - - // a.rotate(R) is equivalent to Affine(R, 0) * a; - Affine3 rotate(const Mat3& R) const; - - // a.rotate(R) is equivalent to Affine(rvec, 0) * a; - Affine3 rotate(const Vec3& rvec) const; - - // a.translate(t) is equivalent to Affine(E, t) * a; - Affine3 translate(const Vec3& t) const; - - // a.concatenate(affine) is equivalent to affine * a; - Affine3 concatenate(const Affine3& affine) const; - - template operator Affine3() const; - - template Affine3 cast() const; - - Mat4 matrix; - -#if defined EIGEN_WORLD_VERSION && defined EIGEN_GEOMETRY_MODULE_H - Affine3(const Eigen::Transform& affine); - Affine3(const Eigen::Transform& affine); - operator Eigen::Transform() const; - operator Eigen::Transform() const; -#endif - }; - - template static - Affine3 operator*(const Affine3& affine1, const Affine3& affine2); - - template static - V operator*(const Affine3& affine, const V& vector); - - typedef Affine3 Affine3f; - typedef Affine3 Affine3d; - - static Vec3f operator*(const Affine3f& affine, const Vec3f& vector); - static Vec3d operator*(const Affine3d& affine, const Vec3d& vector); - - template class DataType< Affine3<_Tp> > - { - public: - typedef Affine3<_Tp> value_type; - typedef Affine3::work_type> work_type; - typedef _Tp channel_type; - - enum { generic_type = 0, - depth = DataType::depth, - channels = 16, - fmt = DataType::fmt + ((channels - 1) << 8), - type = CV_MAKETYPE(depth, channels) - }; - - typedef Vec vec_type; - }; -} - - -/////////////////////////////////////////////////////////////////////////////////// -/// Implementaiton - -template inline -cv::Affine3::Affine3() - : matrix(Mat4::eye()) -{} - -template inline -cv::Affine3::Affine3(const Mat4& affine) - : matrix(affine) -{} - -template inline -cv::Affine3::Affine3(const Mat3& R, const Vec3& t) -{ - rotation(R); - translation(t); - matrix.val[12] = matrix.val[13] = matrix.val[14] = 0; - matrix.val[15] = 1; -} - -template inline -cv::Affine3::Affine3(const Vec3& _rvec, const Vec3& t) -{ - rotation(_rvec); - translation(t); - matrix.val[12] = matrix.val[13] = matrix.val[14] = 0; - matrix.val[15] = 1; -} - -template inline -cv::Affine3::Affine3(const cv::Mat& data, const Vec3& t) -{ - CV_Assert(data.type() == cv::DataType::type); - - if (data.cols == 4 && data.rows == 4) - { - data.copyTo(matrix); - return; - } - else if (data.cols == 4 && data.rows == 3) - { - rotation(data(Rect(0, 0, 3, 3))); - translation(data(Rect(3, 0, 1, 3))); - } - else - { - rotation(data); - translation(t); - } - - matrix.val[12] = matrix.val[13] = matrix.val[14] = 0; - matrix.val[15] = 1; -} - -template inline -cv::Affine3::Affine3(const float_type* vals) : matrix(vals) -{} - -template inline -cv::Affine3 cv::Affine3::Identity() -{ - return Affine3(cv::Affine3::Mat4::eye()); -} - -template inline -void cv::Affine3::rotation(const Mat3& R) -{ - linear(R); -} - -template inline -void cv::Affine3::rotation(const Vec3& _rvec) -{ - double rx = _rvec[0], ry = _rvec[1], rz = _rvec[2]; - double theta = std::sqrt(rx*rx + ry*ry + rz*rz); - - if (theta < DBL_EPSILON) - rotation(Mat3::eye()); - else - { - const double I[] = { 1, 0, 0, 0, 1, 0, 0, 0, 1 }; - - double c = std::cos(theta); - double s = std::sin(theta); - double c1 = 1. - c; - double itheta = (theta != 0) ? 1./theta : 0.; - - rx *= itheta; ry *= itheta; rz *= itheta; - - double rrt[] = { rx*rx, rx*ry, rx*rz, rx*ry, ry*ry, ry*rz, rx*rz, ry*rz, rz*rz }; - double _r_x_[] = { 0, -rz, ry, rz, 0, -rx, -ry, rx, 0 }; - Mat3 R; - - // R = cos(theta)*I + (1 - cos(theta))*r*rT + sin(theta)*[r_x] - // where [r_x] is [0 -rz ry; rz 0 -rx; -ry rx 0] - for(int k = 0; k < 9; ++k) - R.val[k] = static_cast(c*I[k] + c1*rrt[k] + s*_r_x_[k]); - - rotation(R); - } -} - -//Combines rotation methods above. Suports 3x3, 1x3, 3x1 sizes of data matrix; -template inline -void cv::Affine3::rotation(const cv::Mat& data) -{ - CV_Assert(data.type() == cv::DataType::type); - - if (data.cols == 3 && data.rows == 3) - { - Mat3 R; - data.copyTo(R); - rotation(R); - } - else if ((data.cols == 3 && data.rows == 1) || (data.cols == 1 && data.rows == 3)) - { - Vec3 _rvec; - data.reshape(1, 3).copyTo(_rvec); - rotation(_rvec); - } - else - CV_Assert(!"Input marix can be 3x3, 1x3 or 3x1"); -} - -template inline -void cv::Affine3::linear(const Mat3& L) -{ - matrix.val[0] = L.val[0]; matrix.val[1] = L.val[1]; matrix.val[ 2] = L.val[2]; - matrix.val[4] = L.val[3]; matrix.val[5] = L.val[4]; matrix.val[ 6] = L.val[5]; - matrix.val[8] = L.val[6]; matrix.val[9] = L.val[7]; matrix.val[10] = L.val[8]; -} - -template inline -void cv::Affine3::translation(const Vec3& t) -{ - matrix.val[3] = t[0]; matrix.val[7] = t[1]; matrix.val[11] = t[2]; -} - -template inline -typename cv::Affine3::Mat3 cv::Affine3::rotation() const -{ - return linear(); -} - -template inline -typename cv::Affine3::Mat3 cv::Affine3::linear() const -{ - typename cv::Affine3::Mat3 R; - R.val[0] = matrix.val[0]; R.val[1] = matrix.val[1]; R.val[2] = matrix.val[ 2]; - R.val[3] = matrix.val[4]; R.val[4] = matrix.val[5]; R.val[5] = matrix.val[ 6]; - R.val[6] = matrix.val[8]; R.val[7] = matrix.val[9]; R.val[8] = matrix.val[10]; - return R; -} - -template inline -typename cv::Affine3::Vec3 cv::Affine3::translation() const -{ - return Vec3(matrix.val[3], matrix.val[7], matrix.val[11]); -} - -template inline -typename cv::Affine3::Vec3 cv::Affine3::rvec() const -{ - cv::Vec3d w; - cv::Matx33d u, vt, R = rotation(); - cv::SVD::compute(R, w, u, vt, cv::SVD::FULL_UV + cv::SVD::MODIFY_A); - R = u * vt; - - double rx = R.val[7] - R.val[5]; - double ry = R.val[2] - R.val[6]; - double rz = R.val[3] - R.val[1]; - - double s = std::sqrt((rx*rx + ry*ry + rz*rz)*0.25); - double c = (R.val[0] + R.val[4] + R.val[8] - 1) * 0.5; - c = c > 1.0 ? 1.0 : c < -1.0 ? -1.0 : c; - double theta = acos(c); - - if( s < 1e-5 ) - { - if( c > 0 ) - rx = ry = rz = 0; - else - { - double t; - t = (R.val[0] + 1) * 0.5; - rx = std::sqrt(std::max(t, 0.0)); - t = (R.val[4] + 1) * 0.5; - ry = std::sqrt(std::max(t, 0.0)) * (R.val[1] < 0 ? -1.0 : 1.0); - t = (R.val[8] + 1) * 0.5; - rz = std::sqrt(std::max(t, 0.0)) * (R.val[2] < 0 ? -1.0 : 1.0); - - if( fabs(rx) < fabs(ry) && fabs(rx) < fabs(rz) && (R.val[5] > 0) != (ry*rz > 0) ) - rz = -rz; - theta /= std::sqrt(rx*rx + ry*ry + rz*rz); - rx *= theta; - ry *= theta; - rz *= theta; - } - } - else - { - double vth = 1/(2*s); - vth *= theta; - rx *= vth; ry *= vth; rz *= vth; - } - - return cv::Vec3d(rx, ry, rz); -} - -template inline -cv::Affine3 cv::Affine3::inv(int method) const -{ - return matrix.inv(method); -} - -template inline -cv::Affine3 cv::Affine3::rotate(const Mat3& R) const -{ - Mat3 Lc = linear(); - Vec3 tc = translation(); - Mat4 result; - result.val[12] = result.val[13] = result.val[14] = 0; - result.val[15] = 1; - - for(int j = 0; j < 3; ++j) - { - for(int i = 0; i < 3; ++i) - { - float_type value = 0; - for(int k = 0; k < 3; ++k) - value += R(j, k) * Lc(k, i); - result(j, i) = value; - } - - result(j, 3) = R.row(j).dot(tc.t()); - } - return result; -} - -template inline -cv::Affine3 cv::Affine3::rotate(const Vec3& _rvec) const -{ - return rotate(Affine3f(_rvec).rotation()); -} - -template inline -cv::Affine3 cv::Affine3::translate(const Vec3& t) const -{ - Mat4 m = matrix; - m.val[ 3] += t[0]; - m.val[ 7] += t[1]; - m.val[11] += t[2]; - return m; -} - -template inline -cv::Affine3 cv::Affine3::concatenate(const Affine3& affine) const -{ - return (*this).rotate(affine.rotation()).translate(affine.translation()); -} - -template template inline -cv::Affine3::operator Affine3() const -{ - return Affine3(matrix); -} - -template template inline -cv::Affine3 cv::Affine3::cast() const -{ - return Affine3(matrix); -} - -/** @cond IGNORED */ -template inline -cv::Affine3 cv::operator*(const cv::Affine3& affine1, const cv::Affine3& affine2) -{ - return affine2.concatenate(affine1); -} - -template inline -V cv::operator*(const cv::Affine3& affine, const V& v) -{ - const typename Affine3::Mat4& m = affine.matrix; - - V r; - r.x = m.val[0] * v.x + m.val[1] * v.y + m.val[ 2] * v.z + m.val[ 3]; - r.y = m.val[4] * v.x + m.val[5] * v.y + m.val[ 6] * v.z + m.val[ 7]; - r.z = m.val[8] * v.x + m.val[9] * v.y + m.val[10] * v.z + m.val[11]; - return r; -} -/** @endcond */ - -static inline -cv::Vec3f cv::operator*(const cv::Affine3f& affine, const cv::Vec3f& v) -{ - const cv::Matx44f& m = affine.matrix; - cv::Vec3f r; - r.val[0] = m.val[0] * v[0] + m.val[1] * v[1] + m.val[ 2] * v[2] + m.val[ 3]; - r.val[1] = m.val[4] * v[0] + m.val[5] * v[1] + m.val[ 6] * v[2] + m.val[ 7]; - r.val[2] = m.val[8] * v[0] + m.val[9] * v[1] + m.val[10] * v[2] + m.val[11]; - return r; -} - -static inline -cv::Vec3d cv::operator*(const cv::Affine3d& affine, const cv::Vec3d& v) -{ - const cv::Matx44d& m = affine.matrix; - cv::Vec3d r; - r.val[0] = m.val[0] * v[0] + m.val[1] * v[1] + m.val[ 2] * v[2] + m.val[ 3]; - r.val[1] = m.val[4] * v[0] + m.val[5] * v[1] + m.val[ 6] * v[2] + m.val[ 7]; - r.val[2] = m.val[8] * v[0] + m.val[9] * v[1] + m.val[10] * v[2] + m.val[11]; - return r; -} - - - -#if defined EIGEN_WORLD_VERSION && defined EIGEN_GEOMETRY_MODULE_H - -template inline -cv::Affine3::Affine3(const Eigen::Transform& affine) -{ - cv::Mat(4, 4, cv::DataType::type, affine.matrix().data()).copyTo(matrix); -} - -template inline -cv::Affine3::Affine3(const Eigen::Transform& affine) -{ - Eigen::Transform a = affine; - cv::Mat(4, 4, cv::DataType::type, a.matrix().data()).copyTo(matrix); -} - -template inline -cv::Affine3::operator Eigen::Transform() const -{ - Eigen::Transform r; - cv::Mat hdr(4, 4, cv::DataType::type, r.matrix().data()); - cv::Mat(matrix, false).copyTo(hdr); - return r; -} - -template inline -cv::Affine3::operator Eigen::Transform() const -{ - return this->operator Eigen::Transform(); -} - -#endif /* defined EIGEN_WORLD_VERSION && defined EIGEN_GEOMETRY_MODULE_H */ - - -#endif /* __cplusplus */ - -#endif /* __OPENCV_CORE_AFFINE3_HPP__ */ diff --git a/phonelibs/opencv/include/opencv2/core/core.hpp b/phonelibs/opencv/include/opencv2/core/core.hpp deleted file mode 100644 index 86f4eb182b..0000000000 --- a/phonelibs/opencv/include/opencv2/core/core.hpp +++ /dev/null @@ -1,4935 +0,0 @@ -/*M/////////////////////////////////////////////////////////////////////////////////////// -// -// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING. -// -// By downloading, copying, installing or using the software you agree to this license. -// If you do not agree to this license, do not download, install, -// copy or use the software. -// -// -// License Agreement -// For Open Source Computer Vision Library -// -// Copyright (C) 2000-2008, Intel Corporation, all rights reserved. -// Copyright (C) 2009-2011, Willow Garage Inc., all rights reserved. -// Third party copyrights are property of their respective owners. -// -// Redistribution and use in source and binary forms, with or without modification, -// are permitted provided that the following conditions are met: -// -// * Redistribution's of source code must retain the above copyright notice, -// this list of conditions and the following disclaimer. -// -// * Redistribution's in binary form must reproduce the above copyright notice, -// this list of conditions and the following disclaimer in the documentation -// and/or other materials provided with the distribution. -// -// * The name of the copyright holders may not be used to endorse or promote products -// derived from this software without specific prior written permission. -// -// This software is provided by the copyright holders and contributors "as is" and -// any express or implied warranties, including, but not limited to, the implied -// warranties of merchantability and fitness for a particular purpose are disclaimed. -// In no event shall the Intel Corporation or contributors be liable for any direct, -// indirect, incidental, special, exemplary, or consequential damages -// (including, but not limited to, procurement of substitute goods or services; -// loss of use, data, or profits; or business interruption) however caused -// and on any theory of liability, whether in contract, strict liability, -// or tort (including negligence or otherwise) arising in any way out of -// the use of this software, even if advised of the possibility of such damage. -// -//M*/ - -#ifndef __OPENCV_CORE_HPP__ -#define __OPENCV_CORE_HPP__ - -#include "opencv2/core/types_c.h" -#include "opencv2/core/version.hpp" - -#ifdef __cplusplus - -#ifndef SKIP_INCLUDES -#include -#include -#include -#include -#include -#include -#include -#include -#include -#include -#endif // SKIP_INCLUDES - -/*! \namespace cv - Namespace where all the C++ OpenCV functionality resides -*/ -namespace cv { - -#undef abs -#undef min -#undef max -#undef Complex - -using std::vector; -using std::string; -using std::ptrdiff_t; - -template class Size_; -template class Point_; -template class Rect_; -template class Vec; -template class Matx; - -typedef std::string String; - -class Mat; -class SparseMat; -typedef Mat MatND; - -namespace ogl { - class Buffer; - class Texture2D; - class Arrays; -} - -// < Deprecated -class GlBuffer; -class GlTexture; -class GlArrays; -class GlCamera; -// > - -namespace gpu { - class GpuMat; -} - -class CV_EXPORTS MatExpr; -class CV_EXPORTS MatOp_Base; -class CV_EXPORTS MatArg; -class CV_EXPORTS MatConstIterator; - -template class Mat_; -template class MatIterator_; -template class MatConstIterator_; -template class MatCommaInitializer_; - -#if !defined(ANDROID) || (defined(_GLIBCXX_USE_WCHAR_T) && _GLIBCXX_USE_WCHAR_T) -typedef std::basic_string WString; - -CV_EXPORTS string fromUtf16(const WString& str); -CV_EXPORTS WString toUtf16(const string& str); -#endif - -CV_EXPORTS string format( const char* fmt, ... ); -CV_EXPORTS string tempfile( const char* suffix CV_DEFAULT(0)); - -// matrix decomposition types -enum { DECOMP_LU=0, DECOMP_SVD=1, DECOMP_EIG=2, DECOMP_CHOLESKY=3, DECOMP_QR=4, DECOMP_NORMAL=16 }; -enum { NORM_INF=1, NORM_L1=2, NORM_L2=4, NORM_L2SQR=5, NORM_HAMMING=6, NORM_HAMMING2=7, NORM_TYPE_MASK=7, NORM_RELATIVE=8, NORM_MINMAX=32 }; -enum { CMP_EQ=0, CMP_GT=1, CMP_GE=2, CMP_LT=3, CMP_LE=4, CMP_NE=5 }; -enum { GEMM_1_T=1, GEMM_2_T=2, GEMM_3_T=4 }; -enum { DFT_INVERSE=1, DFT_SCALE=2, DFT_ROWS=4, DFT_COMPLEX_OUTPUT=16, DFT_REAL_OUTPUT=32, - DCT_INVERSE = DFT_INVERSE, DCT_ROWS=DFT_ROWS }; - - -/*! - The standard OpenCV exception class. - Instances of the class are thrown by various functions and methods in the case of critical errors. - */ -class CV_EXPORTS Exception : public std::exception -{ -public: - /*! - Default constructor - */ - Exception(); - /*! - Full constructor. Normally the constuctor is not called explicitly. - Instead, the macros CV_Error(), CV_Error_() and CV_Assert() are used. - */ - Exception(int _code, const string& _err, const string& _func, const string& _file, int _line); - virtual ~Exception() throw(); - - /*! - \return the error description and the context as a text string. - */ - virtual const char *what() const throw(); - void formatMessage(); - - string msg; ///< the formatted error message - - int code; ///< error code @see CVStatus - string err; ///< error description - string func; ///< function name. Available only when the compiler supports getting it - string file; ///< source file name where the error has occured - int line; ///< line number in the source file where the error has occured -}; - - -//! Signals an error and raises the exception. - -/*! - By default the function prints information about the error to stderr, - then it either stops if setBreakOnError() had been called before or raises the exception. - It is possible to alternate error processing by using redirectError(). - - \param exc the exception raisen. - */ -CV_EXPORTS void error( const Exception& exc ); - -//! Sets/resets the break-on-error mode. - -/*! - When the break-on-error mode is set, the default error handler - issues a hardware exception, which can make debugging more convenient. - - \return the previous state - */ -CV_EXPORTS bool setBreakOnError(bool flag); - -typedef int (CV_CDECL *ErrorCallback)( int status, const char* func_name, - const char* err_msg, const char* file_name, - int line, void* userdata ); - -//! Sets the new error handler and the optional user data. - -/*! - The function sets the new error handler, called from cv::error(). - - \param errCallback the new error handler. If NULL, the default error handler is used. - \param userdata the optional user data pointer, passed to the callback. - \param prevUserdata the optional output parameter where the previous user data pointer is stored - - \return the previous error handler -*/ -CV_EXPORTS ErrorCallback redirectError( ErrorCallback errCallback, - void* userdata=0, void** prevUserdata=0); - - -#if defined __GNUC__ -#define CV_Func __func__ -#elif defined _MSC_VER -#define CV_Func __FUNCTION__ -#else -#define CV_Func "" -#endif - -#define CV_Error( code, msg ) cv::error( cv::Exception(code, msg, CV_Func, __FILE__, __LINE__) ) -#define CV_Error_( code, args ) cv::error( cv::Exception(code, cv::format args, CV_Func, __FILE__, __LINE__) ) -#define CV_Assert( expr ) if(!!(expr)) ; else cv::error( cv::Exception(CV_StsAssert, #expr, CV_Func, __FILE__, __LINE__) ) - -#ifdef _DEBUG -#define CV_DbgAssert(expr) CV_Assert(expr) -#else -#define CV_DbgAssert(expr) -#endif - -CV_EXPORTS void glob(String pattern, std::vector& result, bool recursive = false); - -CV_EXPORTS_W void setNumThreads(int nthreads); -CV_EXPORTS_W int getNumThreads(); -CV_EXPORTS_W int getThreadNum(); - -CV_EXPORTS_W const string& getBuildInformation(); - -//! Returns the number of ticks. - -/*! - The function returns the number of ticks since the certain event (e.g. when the machine was turned on). - It can be used to initialize cv::RNG or to measure a function execution time by reading the tick count - before and after the function call. The granularity of ticks depends on the hardware and OS used. Use - cv::getTickFrequency() to convert ticks to seconds. -*/ -CV_EXPORTS_W int64 getTickCount(); - -/*! - Returns the number of ticks per seconds. - - The function returns the number of ticks (as returned by cv::getTickCount()) per second. - The following code computes the execution time in milliseconds: - - \code - double exec_time = (double)getTickCount(); - // do something ... - exec_time = ((double)getTickCount() - exec_time)*1000./getTickFrequency(); - \endcode -*/ -CV_EXPORTS_W double getTickFrequency(); - -/*! - Returns the number of CPU ticks. - - On platforms where the feature is available, the function returns the number of CPU ticks - since the certain event (normally, the system power-on moment). Using this function - one can accurately measure the execution time of very small code fragments, - for which cv::getTickCount() granularity is not enough. -*/ -CV_EXPORTS_W int64 getCPUTickCount(); - -/*! - Returns SSE etc. support status - - The function returns true if certain hardware features are available. - Currently, the following features are recognized: - - CV_CPU_MMX - MMX - - CV_CPU_SSE - SSE - - CV_CPU_SSE2 - SSE 2 - - CV_CPU_SSE3 - SSE 3 - - CV_CPU_SSSE3 - SSSE 3 - - CV_CPU_SSE4_1 - SSE 4.1 - - CV_CPU_SSE4_2 - SSE 4.2 - - CV_CPU_POPCNT - POPCOUNT - - CV_CPU_AVX - AVX - - CV_CPU_AVX2 - AVX2 - - \note {Note that the function output is not static. Once you called cv::useOptimized(false), - most of the hardware acceleration is disabled and thus the function will returns false, - until you call cv::useOptimized(true)} -*/ -CV_EXPORTS_W bool checkHardwareSupport(int feature); - -//! returns the number of CPUs (including hyper-threading) -CV_EXPORTS_W int getNumberOfCPUs(); - -/*! - Allocates memory buffer - - This is specialized OpenCV memory allocation function that returns properly aligned memory buffers. - The usage is identical to malloc(). The allocated buffers must be freed with cv::fastFree(). - If there is not enough memory, the function calls cv::error(), which raises an exception. - - \param bufSize buffer size in bytes - \return the allocated memory buffer. -*/ -CV_EXPORTS void* fastMalloc(size_t bufSize); - -/*! - Frees the memory allocated with cv::fastMalloc - - This is the corresponding deallocation function for cv::fastMalloc(). - When ptr==NULL, the function has no effect. -*/ -CV_EXPORTS void fastFree(void* ptr); - -template static inline _Tp* allocate(size_t n) -{ - return new _Tp[n]; -} - -template static inline void deallocate(_Tp* ptr, size_t) -{ - delete[] ptr; -} - -/*! - Aligns pointer by the certain number of bytes - - This small inline function aligns the pointer by the certian number of bytes by shifting - it forward by 0 or a positive offset. -*/ -template static inline _Tp* alignPtr(_Tp* ptr, int n=(int)sizeof(_Tp)) -{ - return (_Tp*)(((size_t)ptr + n-1) & -n); -} - -/*! - Aligns buffer size by the certain number of bytes - - This small inline function aligns a buffer size by the certian number of bytes by enlarging it. -*/ -static inline size_t alignSize(size_t sz, int n) -{ - assert((n & (n - 1)) == 0); // n is a power of 2 - return (sz + n-1) & -n; -} - -/*! - Turns on/off available optimization - - The function turns on or off the optimized code in OpenCV. Some optimization can not be enabled - or disabled, but, for example, most of SSE code in OpenCV can be temporarily turned on or off this way. - - \note{Since optimization may imply using special data structures, it may be unsafe - to call this function anywhere in the code. Instead, call it somewhere at the top level.} -*/ -CV_EXPORTS_W void setUseOptimized(bool onoff); - -/*! - Returns the current optimization status - - The function returns the current optimization status, which is controlled by cv::setUseOptimized(). -*/ -CV_EXPORTS_W bool useOptimized(); - -/*! - The STL-compilant memory Allocator based on cv::fastMalloc() and cv::fastFree() -*/ -template class Allocator -{ -public: - typedef _Tp value_type; - typedef value_type* pointer; - typedef const value_type* const_pointer; - typedef value_type& reference; - typedef const value_type& const_reference; - typedef size_t size_type; - typedef ptrdiff_t difference_type; - template class rebind { typedef Allocator other; }; - - explicit Allocator() {} - ~Allocator() {} - explicit Allocator(Allocator const&) {} - template - explicit Allocator(Allocator const&) {} - - // address - pointer address(reference r) { return &r; } - const_pointer address(const_reference r) { return &r; } - - pointer allocate(size_type count, const void* =0) - { return reinterpret_cast(fastMalloc(count * sizeof (_Tp))); } - - void deallocate(pointer p, size_type) {fastFree(p); } - - size_type max_size() const - { return max(static_cast<_Tp>(-1)/sizeof(_Tp), 1); } - - void construct(pointer p, const _Tp& v) { new(static_cast(p)) _Tp(v); } - void destroy(pointer p) { p->~_Tp(); } -}; - -/////////////////////// Vec (used as element of multi-channel images ///////////////////// - -/*! - A helper class for cv::DataType - - The class is specialized for each fundamental numerical data type supported by OpenCV. - It provides DataDepth::value constant. -*/ -template class DataDepth { public: enum { value = -1, fmt = 0 }; }; - -template<> class DataDepth { public: enum { value = CV_8U, fmt=(int)'u' }; }; -template<> class DataDepth { public: enum { value = CV_8U, fmt=(int)'u' }; }; -template<> class DataDepth { public: enum { value = CV_8S, fmt=(int)'c' }; }; -template<> class DataDepth { public: enum { value = CV_8S, fmt=(int)'c' }; }; -template<> class DataDepth { public: enum { value = CV_16U, fmt=(int)'w' }; }; -template<> class DataDepth { public: enum { value = CV_16S, fmt=(int)'s' }; }; -template<> class DataDepth { public: enum { value = CV_32S, fmt=(int)'i' }; }; -// this is temporary solution to support 32-bit unsigned integers -template<> class DataDepth { public: enum { value = CV_32S, fmt=(int)'i' }; }; -template<> class DataDepth { public: enum { value = CV_32F, fmt=(int)'f' }; }; -template<> class DataDepth { public: enum { value = CV_64F, fmt=(int)'d' }; }; -template class DataDepth<_Tp*> { public: enum { value = CV_USRTYPE1, fmt=(int)'r' }; }; - - -////////////////////////////// Small Matrix /////////////////////////// - -/*! - A short numerical vector. - - This template class represents short numerical vectors (of 1, 2, 3, 4 ... elements) - on which you can perform basic arithmetical operations, access individual elements using [] operator etc. - The vectors are allocated on stack, as opposite to std::valarray, std::vector, cv::Mat etc., - which elements are dynamically allocated in the heap. - - The template takes 2 parameters: - -# _Tp element type - -# cn the number of elements - - In addition to the universal notation like Vec, you can use shorter aliases - for the most popular specialized variants of Vec, e.g. Vec3f ~ Vec. - */ - -struct CV_EXPORTS Matx_AddOp {}; -struct CV_EXPORTS Matx_SubOp {}; -struct CV_EXPORTS Matx_ScaleOp {}; -struct CV_EXPORTS Matx_MulOp {}; -struct CV_EXPORTS Matx_MatMulOp {}; -struct CV_EXPORTS Matx_TOp {}; - -template class Matx -{ -public: - typedef _Tp value_type; - typedef Matx<_Tp, (m < n ? m : n), 1> diag_type; - typedef Matx<_Tp, m, n> mat_type; - enum { depth = DataDepth<_Tp>::value, rows = m, cols = n, channels = rows*cols, - type = CV_MAKETYPE(depth, channels) }; - - //! default constructor - Matx(); - - Matx(_Tp v0); //!< 1x1 matrix - Matx(_Tp v0, _Tp v1); //!< 1x2 or 2x1 matrix - Matx(_Tp v0, _Tp v1, _Tp v2); //!< 1x3 or 3x1 matrix - Matx(_Tp v0, _Tp v1, _Tp v2, _Tp v3); //!< 1x4, 2x2 or 4x1 matrix - Matx(_Tp v0, _Tp v1, _Tp v2, _Tp v3, _Tp v4); //!< 1x5 or 5x1 matrix - Matx(_Tp v0, _Tp v1, _Tp v2, _Tp v3, _Tp v4, _Tp v5); //!< 1x6, 2x3, 3x2 or 6x1 matrix - Matx(_Tp v0, _Tp v1, _Tp v2, _Tp v3, _Tp v4, _Tp v5, _Tp v6); //!< 1x7 or 7x1 matrix - Matx(_Tp v0, _Tp v1, _Tp v2, _Tp v3, _Tp v4, _Tp v5, _Tp v6, _Tp v7); //!< 1x8, 2x4, 4x2 or 8x1 matrix - Matx(_Tp v0, _Tp v1, _Tp v2, _Tp v3, _Tp v4, _Tp v5, _Tp v6, _Tp v7, _Tp v8); //!< 1x9, 3x3 or 9x1 matrix - Matx(_Tp v0, _Tp v1, _Tp v2, _Tp v3, _Tp v4, _Tp v5, _Tp v6, _Tp v7, _Tp v8, _Tp v9); //!< 1x10, 2x5 or 5x2 or 10x1 matrix - Matx(_Tp v0, _Tp v1, _Tp v2, _Tp v3, - _Tp v4, _Tp v5, _Tp v6, _Tp v7, - _Tp v8, _Tp v9, _Tp v10, _Tp v11); //!< 1x12, 2x6, 3x4, 4x3, 6x2 or 12x1 matrix - Matx(_Tp v0, _Tp v1, _Tp v2, _Tp v3, - _Tp v4, _Tp v5, _Tp v6, _Tp v7, - _Tp v8, _Tp v9, _Tp v10, _Tp v11, - _Tp v12, _Tp v13, _Tp v14, _Tp v15); //!< 1x16, 4x4 or 16x1 matrix - explicit Matx(const _Tp* vals); //!< initialize from a plain array - - static Matx all(_Tp alpha); - static Matx zeros(); - static Matx ones(); - static Matx eye(); - static Matx diag(const diag_type& d); - static Matx randu(_Tp a, _Tp b); - static Matx randn(_Tp a, _Tp b); - - //! dot product computed with the default precision - _Tp dot(const Matx<_Tp, m, n>& v) const; - - //! dot product computed in double-precision arithmetics - double ddot(const Matx<_Tp, m, n>& v) const; - - //! conversion to another data type - template operator Matx() const; - - //! change the matrix shape - template Matx<_Tp, m1, n1> reshape() const; - - //! extract part of the matrix - template Matx<_Tp, m1, n1> get_minor(int i, int j) const; - - //! extract the matrix row - Matx<_Tp, 1, n> row(int i) const; - - //! extract the matrix column - Matx<_Tp, m, 1> col(int i) const; - - //! extract the matrix diagonal - diag_type diag() const; - - //! transpose the matrix - Matx<_Tp, n, m> t() const; - - //! invert matrix the matrix - Matx<_Tp, n, m> inv(int method=DECOMP_LU) const; - - //! solve linear system - template Matx<_Tp, n, l> solve(const Matx<_Tp, m, l>& rhs, int flags=DECOMP_LU) const; - Vec<_Tp, n> solve(const Vec<_Tp, m>& rhs, int method) const; - - //! multiply two matrices element-wise - Matx<_Tp, m, n> mul(const Matx<_Tp, m, n>& a) const; - - //! element access - const _Tp& operator ()(int i, int j) const; - _Tp& operator ()(int i, int j); - - //! 1D element access - const _Tp& operator ()(int i) const; - _Tp& operator ()(int i); - - Matx(const Matx<_Tp, m, n>& a, const Matx<_Tp, m, n>& b, Matx_AddOp); - Matx(const Matx<_Tp, m, n>& a, const Matx<_Tp, m, n>& b, Matx_SubOp); - template Matx(const Matx<_Tp, m, n>& a, _T2 alpha, Matx_ScaleOp); - Matx(const Matx<_Tp, m, n>& a, const Matx<_Tp, m, n>& b, Matx_MulOp); - template Matx(const Matx<_Tp, m, l>& a, const Matx<_Tp, l, n>& b, Matx_MatMulOp); - Matx(const Matx<_Tp, n, m>& a, Matx_TOp); - - _Tp val[m*n]; //< matrix elements -}; - - -typedef Matx Matx12f; -typedef Matx Matx12d; -typedef Matx Matx13f; -typedef Matx Matx13d; -typedef Matx Matx14f; -typedef Matx Matx14d; -typedef Matx Matx16f; -typedef Matx Matx16d; - -typedef Matx Matx21f; -typedef Matx Matx21d; -typedef Matx Matx31f; -typedef Matx Matx31d; -typedef Matx Matx41f; -typedef Matx Matx41d; -typedef Matx Matx61f; -typedef Matx Matx61d; - -typedef Matx Matx22f; -typedef Matx Matx22d; -typedef Matx Matx23f; -typedef Matx Matx23d; -typedef Matx Matx32f; -typedef Matx Matx32d; - -typedef Matx Matx33f; -typedef Matx Matx33d; - -typedef Matx Matx34f; -typedef Matx Matx34d; -typedef Matx Matx43f; -typedef Matx Matx43d; - -typedef Matx Matx44f; -typedef Matx Matx44d; -typedef Matx Matx66f; -typedef Matx Matx66d; - - -/*! - A short numerical vector. - - This template class represents short numerical vectors (of 1, 2, 3, 4 ... elements) - on which you can perform basic arithmetical operations, access individual elements using [] operator etc. - The vectors are allocated on stack, as opposite to std::valarray, std::vector, cv::Mat etc., - which elements are dynamically allocated in the heap. - - The template takes 2 parameters: - -# _Tp element type - -# cn the number of elements - - In addition to the universal notation like Vec, you can use shorter aliases - for the most popular specialized variants of Vec, e.g. Vec3f ~ Vec. -*/ -template class Vec : public Matx<_Tp, cn, 1> -{ -public: - typedef _Tp value_type; - enum { depth = DataDepth<_Tp>::value, channels = cn, type = CV_MAKETYPE(depth, channels) }; - - //! default constructor - Vec(); - - Vec(_Tp v0); //!< 1-element vector constructor - Vec(_Tp v0, _Tp v1); //!< 2-element vector constructor - Vec(_Tp v0, _Tp v1, _Tp v2); //!< 3-element vector constructor - Vec(_Tp v0, _Tp v1, _Tp v2, _Tp v3); //!< 4-element vector constructor - Vec(_Tp v0, _Tp v1, _Tp v2, _Tp v3, _Tp v4); //!< 5-element vector constructor - Vec(_Tp v0, _Tp v1, _Tp v2, _Tp v3, _Tp v4, _Tp v5); //!< 6-element vector constructor - Vec(_Tp v0, _Tp v1, _Tp v2, _Tp v3, _Tp v4, _Tp v5, _Tp v6); //!< 7-element vector constructor - Vec(_Tp v0, _Tp v1, _Tp v2, _Tp v3, _Tp v4, _Tp v5, _Tp v6, _Tp v7); //!< 8-element vector constructor - Vec(_Tp v0, _Tp v1, _Tp v2, _Tp v3, _Tp v4, _Tp v5, _Tp v6, _Tp v7, _Tp v8); //!< 9-element vector constructor - Vec(_Tp v0, _Tp v1, _Tp v2, _Tp v3, _Tp v4, _Tp v5, _Tp v6, _Tp v7, _Tp v8, _Tp v9); //!< 10-element vector constructor - explicit Vec(const _Tp* values); - - Vec(const Vec<_Tp, cn>& v); - - static Vec all(_Tp alpha); - - //! per-element multiplication - Vec mul(const Vec<_Tp, cn>& v) const; - - //! conjugation (makes sense for complex numbers and quaternions) - Vec conj() const; - - /*! - cross product of the two 3D vectors. - - For other dimensionalities the exception is raised - */ - Vec cross(const Vec& v) const; - //! conversion to another data type - template operator Vec() const; - //! conversion to 4-element CvScalar. - operator CvScalar() const; - - /*! element access */ - const _Tp& operator [](int i) const; - _Tp& operator[](int i); - const _Tp& operator ()(int i) const; - _Tp& operator ()(int i); - - Vec(const Matx<_Tp, cn, 1>& a, const Matx<_Tp, cn, 1>& b, Matx_AddOp); - Vec(const Matx<_Tp, cn, 1>& a, const Matx<_Tp, cn, 1>& b, Matx_SubOp); - template Vec(const Matx<_Tp, cn, 1>& a, _T2 alpha, Matx_ScaleOp); -}; - - -/* \typedef - - Shorter aliases for the most popular specializations of Vec -*/ -typedef Vec Vec2b; -typedef Vec Vec3b; -typedef Vec Vec4b; - -typedef Vec Vec2s; -typedef Vec Vec3s; -typedef Vec Vec4s; - -typedef Vec Vec2w; -typedef Vec Vec3w; -typedef Vec Vec4w; - -typedef Vec Vec2i; -typedef Vec Vec3i; -typedef Vec Vec4i; -typedef Vec Vec6i; -typedef Vec Vec8i; - -typedef Vec Vec2f; -typedef Vec Vec3f; -typedef Vec Vec4f; -typedef Vec Vec6f; - -typedef Vec Vec2d; -typedef Vec Vec3d; -typedef Vec Vec4d; -typedef Vec Vec6d; - - -//////////////////////////////// Complex ////////////////////////////// - -/*! - A complex number class. - - The template class is similar and compatible with std::complex, however it provides slightly - more convenient access to the real and imaginary parts using through the simple field access, as opposite - to std::complex::real() and std::complex::imag(). -*/ -template class Complex -{ -public: - - //! constructors - Complex(); - Complex( _Tp _re, _Tp _im=0 ); - Complex( const std::complex<_Tp>& c ); - - //! conversion to another data type - template operator Complex() const; - //! conjugation - Complex conj() const; - //! conversion to std::complex - operator std::complex<_Tp>() const; - - _Tp re, im; //< the real and the imaginary parts -}; - - -typedef Complex Complexf; -typedef Complex Complexd; - - -//////////////////////////////// Point_ //////////////////////////////// - -/*! - template 2D point class. - - The class defines a point in 2D space. Data type of the point coordinates is specified - as a template parameter. There are a few shorter aliases available for user convenience. - See cv::Point, cv::Point2i, cv::Point2f and cv::Point2d. -*/ -template class Point_ -{ -public: - typedef _Tp value_type; - - // various constructors - Point_(); - Point_(_Tp _x, _Tp _y); - Point_(const Point_& pt); - Point_(const CvPoint& pt); - Point_(const CvPoint2D32f& pt); - Point_(const Size_<_Tp>& sz); - Point_(const Vec<_Tp, 2>& v); - - Point_& operator = (const Point_& pt); - //! conversion to another data type - template operator Point_<_Tp2>() const; - - //! conversion to the old-style C structures - operator CvPoint() const; - operator CvPoint2D32f() const; - operator Vec<_Tp, 2>() const; - - //! dot product - _Tp dot(const Point_& pt) const; - //! dot product computed in double-precision arithmetics - double ddot(const Point_& pt) const; - //! cross-product - double cross(const Point_& pt) const; - //! checks whether the point is inside the specified rectangle - bool inside(const Rect_<_Tp>& r) const; - - _Tp x, y; //< the point coordinates -}; - -/*! - template 3D point class. - - The class defines a point in 3D space. Data type of the point coordinates is specified - as a template parameter. - - \see cv::Point3i, cv::Point3f and cv::Point3d -*/ -template class Point3_ -{ -public: - typedef _Tp value_type; - - // various constructors - Point3_(); - Point3_(_Tp _x, _Tp _y, _Tp _z); - Point3_(const Point3_& pt); - explicit Point3_(const Point_<_Tp>& pt); - Point3_(const CvPoint3D32f& pt); - Point3_(const Vec<_Tp, 3>& v); - - Point3_& operator = (const Point3_& pt); - //! conversion to another data type - template operator Point3_<_Tp2>() const; - //! conversion to the old-style CvPoint... - operator CvPoint3D32f() const; - //! conversion to cv::Vec<> - operator Vec<_Tp, 3>() const; - - //! dot product - _Tp dot(const Point3_& pt) const; - //! dot product computed in double-precision arithmetics - double ddot(const Point3_& pt) const; - //! cross product of the 2 3D points - Point3_ cross(const Point3_& pt) const; - - _Tp x, y, z; //< the point coordinates -}; - -//////////////////////////////// Size_ //////////////////////////////// - -/*! - The 2D size class - - The class represents the size of a 2D rectangle, image size, matrix size etc. - Normally, cv::Size ~ cv::Size_ is used. -*/ -template class Size_ -{ -public: - typedef _Tp value_type; - - //! various constructors - Size_(); - Size_(_Tp _width, _Tp _height); - Size_(const Size_& sz); - Size_(const CvSize& sz); - Size_(const CvSize2D32f& sz); - Size_(const Point_<_Tp>& pt); - - Size_& operator = (const Size_& sz); - //! the area (width*height) - _Tp area() const; - - //! conversion of another data type. - template operator Size_<_Tp2>() const; - - //! conversion to the old-style OpenCV types - operator CvSize() const; - operator CvSize2D32f() const; - - _Tp width, height; // the width and the height -}; - -//////////////////////////////// Rect_ //////////////////////////////// - -/*! - The 2D up-right rectangle class - - The class represents a 2D rectangle with coordinates of the specified data type. - Normally, cv::Rect ~ cv::Rect_ is used. -*/ -template class Rect_ -{ -public: - typedef _Tp value_type; - - //! various constructors - Rect_(); - Rect_(_Tp _x, _Tp _y, _Tp _width, _Tp _height); - Rect_(const Rect_& r); - Rect_(const CvRect& r); - Rect_(const Point_<_Tp>& org, const Size_<_Tp>& sz); - Rect_(const Point_<_Tp>& pt1, const Point_<_Tp>& pt2); - - Rect_& operator = ( const Rect_& r ); - //! the top-left corner - Point_<_Tp> tl() const; - //! the bottom-right corner - Point_<_Tp> br() const; - - //! size (width, height) of the rectangle - Size_<_Tp> size() const; - //! area (width*height) of the rectangle - _Tp area() const; - - //! conversion to another data type - template operator Rect_<_Tp2>() const; - //! conversion to the old-style CvRect - operator CvRect() const; - - //! checks whether the rectangle contains the point - bool contains(const Point_<_Tp>& pt) const; - - _Tp x, y, width, height; //< the top-left corner, as well as width and height of the rectangle -}; - - -typedef Point_ Point2i; -typedef Point_ Point2l; -typedef Point2i Point; -typedef Size_ Size2i; -typedef Size_ Size2l; -typedef Size_ Size2d; -typedef Size2i Size; -typedef Rect_ Rect; -typedef Point_ Point2f; -typedef Point_ Point2d; -typedef Size_ Size2f; -typedef Point3_ Point3i; -typedef Point3_ Point3f; -typedef Point3_ Point3d; - - -/*! - The rotated 2D rectangle. - - The class represents rotated (i.e. not up-right) rectangles on a plane. - Each rectangle is described by the center point (mass center), length of each side - (represented by cv::Size2f structure) and the rotation angle in degrees. -*/ -class CV_EXPORTS RotatedRect -{ -public: - //! various constructors - RotatedRect(); - RotatedRect(const Point2f& center, const Size2f& size, float angle); - RotatedRect(const CvBox2D& box); - - //! returns 4 vertices of the rectangle - void points(Point2f pts[]) const; - //! returns the minimal up-right integer rectangle containing the rotated rectangle - Rect boundingRect() const; - //! returns the minimal (exact) floating point rectangle containing the rotated rectangle, not intended for use with images - Rect_ boundingRect2f() const; - //! conversion to the old-style CvBox2D structure - operator CvBox2D() const; - - Point2f center; //< the rectangle mass center - Size2f size; //< width and height of the rectangle - float angle; //< the rotation angle. When the angle is 0, 90, 180, 270 etc., the rectangle becomes an up-right rectangle. -}; - -//////////////////////////////// Scalar_ /////////////////////////////// - -/*! - The template scalar class. - - This is partially specialized cv::Vec class with the number of elements = 4, i.e. a short vector of four elements. - Normally, cv::Scalar ~ cv::Scalar_ is used. -*/ -template class Scalar_ : public Vec<_Tp, 4> -{ -public: - //! various constructors - Scalar_(); - Scalar_(_Tp v0, _Tp v1, _Tp v2=0, _Tp v3=0); - Scalar_(const CvScalar& s); - Scalar_(_Tp v0); - - //! returns a scalar with all elements set to v0 - static Scalar_<_Tp> all(_Tp v0); - //! conversion to the old-style CvScalar - operator CvScalar() const; - - //! conversion to another data type - template operator Scalar_() const; - - //! per-element product - Scalar_<_Tp> mul(const Scalar_<_Tp>& t, double scale=1 ) const; - - // returns (v0, -v1, -v2, -v3) - Scalar_<_Tp> conj() const; - - // returns true iff v1 == v2 == v3 == 0 - bool isReal() const; -}; - -typedef Scalar_ Scalar; - -CV_EXPORTS void scalarToRawData(const Scalar& s, void* buf, int type, int unroll_to=0); - -//////////////////////////////// Range ///////////////////////////////// - -/*! - The 2D range class - - This is the class used to specify a continuous subsequence, i.e. part of a contour, or a column span in a matrix. -*/ -class CV_EXPORTS Range -{ -public: - Range(); - Range(int _start, int _end); - Range(const CvSlice& slice); - int size() const; - bool empty() const; - static Range all(); - operator CvSlice() const; - - int start, end; -}; - -/////////////////////////////// DataType //////////////////////////////// - -/*! - Informative template class for OpenCV "scalars". - - The class is specialized for each primitive numerical type supported by OpenCV (such as unsigned char or float), - as well as for more complex types, like cv::Complex<>, std::complex<>, cv::Vec<> etc. - The common property of all such types (called "scalars", do not confuse it with cv::Scalar_) - is that each of them is basically a tuple of numbers of the same type. Each "scalar" can be represented - by the depth id (CV_8U ... CV_64F) and the number of channels. - OpenCV matrices, 2D or nD, dense or sparse, can store "scalars", - as long as the number of channels does not exceed CV_CN_MAX. -*/ -template class DataType -{ -public: - typedef _Tp value_type; - typedef value_type work_type; - typedef value_type channel_type; - typedef value_type vec_type; - enum { generic_type = 1, depth = -1, channels = 1, fmt=0, - type = CV_MAKETYPE(depth, channels) }; -}; - -template<> class DataType -{ -public: - typedef bool value_type; - typedef int work_type; - typedef value_type channel_type; - typedef value_type vec_type; - enum { generic_type = 0, depth = DataDepth::value, channels = 1, - fmt=DataDepth::fmt, - type = CV_MAKETYPE(depth, channels) }; -}; - -template<> class DataType -{ -public: - typedef uchar value_type; - typedef int work_type; - typedef value_type channel_type; - typedef value_type vec_type; - enum { generic_type = 0, depth = DataDepth::value, channels = 1, - fmt=DataDepth::fmt, - type = CV_MAKETYPE(depth, channels) }; -}; - -template<> class DataType -{ -public: - typedef schar value_type; - typedef int work_type; - typedef value_type channel_type; - typedef value_type vec_type; - enum { generic_type = 0, depth = DataDepth::value, channels = 1, - fmt=DataDepth::fmt, - type = CV_MAKETYPE(depth, channels) }; -}; - -template<> class DataType -{ -public: - typedef schar value_type; - typedef int work_type; - typedef value_type channel_type; - typedef value_type vec_type; - enum { generic_type = 0, depth = DataDepth::value, channels = 1, - fmt=DataDepth::fmt, - type = CV_MAKETYPE(depth, channels) }; -}; - -template<> class DataType -{ -public: - typedef ushort value_type; - typedef int work_type; - typedef value_type channel_type; - typedef value_type vec_type; - enum { generic_type = 0, depth = DataDepth::value, channels = 1, - fmt=DataDepth::fmt, - type = CV_MAKETYPE(depth, channels) }; -}; - -template<> class DataType -{ -public: - typedef short value_type; - typedef int work_type; - typedef value_type channel_type; - typedef value_type vec_type; - enum { generic_type = 0, depth = DataDepth::value, channels = 1, - fmt=DataDepth::fmt, - type = CV_MAKETYPE(depth, channels) }; -}; - -template<> class DataType -{ -public: - typedef int value_type; - typedef value_type work_type; - typedef value_type channel_type; - typedef value_type vec_type; - enum { generic_type = 0, depth = DataDepth::value, channels = 1, - fmt=DataDepth::fmt, - type = CV_MAKETYPE(depth, channels) }; -}; - -template<> class DataType -{ -public: - typedef float value_type; - typedef value_type work_type; - typedef value_type channel_type; - typedef value_type vec_type; - enum { generic_type = 0, depth = DataDepth::value, channels = 1, - fmt=DataDepth::fmt, - type = CV_MAKETYPE(depth, channels) }; -}; - -template<> class DataType -{ -public: - typedef double value_type; - typedef value_type work_type; - typedef value_type channel_type; - typedef value_type vec_type; - enum { generic_type = 0, depth = DataDepth::value, channels = 1, - fmt=DataDepth::fmt, - type = CV_MAKETYPE(depth, channels) }; -}; - -template class DataType > -{ -public: - typedef Matx<_Tp, m, n> value_type; - typedef Matx::work_type, m, n> work_type; - typedef _Tp channel_type; - typedef value_type vec_type; - enum { generic_type = 0, depth = DataDepth::value, channels = m*n, - fmt = ((channels-1)<<8) + DataDepth::fmt, - type = CV_MAKETYPE(depth, channels) }; -}; - -template class DataType > -{ -public: - typedef Vec<_Tp, cn> value_type; - typedef Vec::work_type, cn> work_type; - typedef _Tp channel_type; - typedef value_type vec_type; - enum { generic_type = 0, depth = DataDepth::value, channels = cn, - fmt = ((channels-1)<<8) + DataDepth::fmt, - type = CV_MAKETYPE(depth, channels) }; -}; - -template class DataType > -{ -public: - typedef std::complex<_Tp> value_type; - typedef value_type work_type; - typedef _Tp channel_type; - enum { generic_type = 0, depth = DataDepth::value, channels = 2, - fmt = ((channels-1)<<8) + DataDepth::fmt, - type = CV_MAKETYPE(depth, channels) }; - typedef Vec vec_type; -}; - -template class DataType > -{ -public: - typedef Complex<_Tp> value_type; - typedef value_type work_type; - typedef _Tp channel_type; - enum { generic_type = 0, depth = DataDepth::value, channels = 2, - fmt = ((channels-1)<<8) + DataDepth::fmt, - type = CV_MAKETYPE(depth, channels) }; - typedef Vec vec_type; -}; - -template class DataType > -{ -public: - typedef Point_<_Tp> value_type; - typedef Point_::work_type> work_type; - typedef _Tp channel_type; - enum { generic_type = 0, depth = DataDepth::value, channels = 2, - fmt = ((channels-1)<<8) + DataDepth::fmt, - type = CV_MAKETYPE(depth, channels) }; - typedef Vec vec_type; -}; - -template class DataType > -{ -public: - typedef Point3_<_Tp> value_type; - typedef Point3_::work_type> work_type; - typedef _Tp channel_type; - enum { generic_type = 0, depth = DataDepth::value, channels = 3, - fmt = ((channels-1)<<8) + DataDepth::fmt, - type = CV_MAKETYPE(depth, channels) }; - typedef Vec vec_type; -}; - -template class DataType > -{ -public: - typedef Size_<_Tp> value_type; - typedef Size_::work_type> work_type; - typedef _Tp channel_type; - enum { generic_type = 0, depth = DataDepth::value, channels = 2, - fmt = ((channels-1)<<8) + DataDepth::fmt, - type = CV_MAKETYPE(depth, channels) }; - typedef Vec vec_type; -}; - -template class DataType > -{ -public: - typedef Rect_<_Tp> value_type; - typedef Rect_::work_type> work_type; - typedef _Tp channel_type; - enum { generic_type = 0, depth = DataDepth::value, channels = 4, - fmt = ((channels-1)<<8) + DataDepth::fmt, - type = CV_MAKETYPE(depth, channels) }; - typedef Vec vec_type; -}; - -template class DataType > -{ -public: - typedef Scalar_<_Tp> value_type; - typedef Scalar_::work_type> work_type; - typedef _Tp channel_type; - enum { generic_type = 0, depth = DataDepth::value, channels = 4, - fmt = ((channels-1)<<8) + DataDepth::fmt, - type = CV_MAKETYPE(depth, channels) }; - typedef Vec vec_type; -}; - -template<> class DataType -{ -public: - typedef Range value_type; - typedef value_type work_type; - typedef int channel_type; - enum { generic_type = 0, depth = DataDepth::value, channels = 2, - fmt = ((channels-1)<<8) + DataDepth::fmt, - type = CV_MAKETYPE(depth, channels) }; - typedef Vec vec_type; -}; - -//////////////////// generic_type ref-counting pointer class for C/C++ objects //////////////////////// - -/*! - Smart pointer to dynamically allocated objects. - - This is template pointer-wrapping class that stores the associated reference counter along with the - object pointer. The class is similar to std::smart_ptr<> from the recent addons to the C++ standard, - but is shorter to write :) and self-contained (i.e. does add any dependency on the compiler or an external library). - - Basically, you can use "Ptr ptr" (or faster "const Ptr& ptr" for read-only access) - everywhere instead of "MyObjectType* ptr", where MyObjectType is some C structure or a C++ class. - To make it all work, you need to specialize Ptr<>::delete_obj(), like: - - \code - template<> void Ptr::delete_obj() { call_destructor_func(obj); } - \endcode - - \note{if MyObjectType is a C++ class with a destructor, you do not need to specialize delete_obj(), - since the default implementation calls "delete obj;"} - - \note{Another good property of the class is that the operations on the reference counter are atomic, - i.e. it is safe to use the class in multi-threaded applications} -*/ -template class Ptr -{ -public: - //! empty constructor - Ptr(); - //! take ownership of the pointer. The associated reference counter is allocated and set to 1 - Ptr(_Tp* _obj); - //! calls release() - ~Ptr(); - //! copy constructor. Copies the members and calls addref() - Ptr(const Ptr& ptr); - template Ptr(const Ptr<_Tp2>& ptr); - //! copy operator. Calls ptr.addref() and release() before copying the members - Ptr& operator = (const Ptr& ptr); - //! increments the reference counter - void addref(); - //! decrements the reference counter. If it reaches 0, delete_obj() is called - void release(); - //! deletes the object. Override if needed - void delete_obj(); - //! returns true iff obj==NULL - bool empty() const; - - //! cast pointer to another type - template Ptr<_Tp2> ptr(); - template const Ptr<_Tp2> ptr() const; - - //! helper operators making "Ptr ptr" use very similar to "T* ptr". - _Tp* operator -> (); - const _Tp* operator -> () const; - - operator _Tp* (); - operator const _Tp*() const; - - _Tp* obj; //< the object pointer. - int* refcount; //< the associated reference counter -}; - -template -Ptr makePtr(); - -template -Ptr makePtr(const A1& a1); - -template -Ptr makePtr(const A1& a1, const A2& a2); - -template -Ptr makePtr(const A1& a1, const A2& a2, const A3& a3); - -template -Ptr makePtr(const A1& a1, const A2& a2, const A3& a3, const A4& a4); - -template -Ptr makePtr(const A1& a1, const A2& a2, const A3& a3, const A4& a4, const A5& a5); - -template -Ptr makePtr(const A1& a1, const A2& a2, const A3& a3, const A4& a4, const A5& a5, const A6& a6); - -template -Ptr makePtr(const A1& a1, const A2& a2, const A3& a3, const A4& a4, const A5& a5, const A6& a6, const A7& a7); - -template -Ptr makePtr(const A1& a1, const A2& a2, const A3& a3, const A4& a4, const A5& a5, const A6& a6, const A7& a7, const A8& a8); - -template -Ptr makePtr(const A1& a1, const A2& a2, const A3& a3, const A4& a4, const A5& a5, const A6& a6, const A7& a7, const A8& a8, const A9& a9); - -template -Ptr makePtr(const A1& a1, const A2& a2, const A3& a3, const A4& a4, const A5& a5, const A6& a6, const A7& a7, const A8& a8, const A9& a9, const A10& a10); - -//////////////////////// Input/Output Array Arguments ///////////////////////////////// - -/*! - Proxy datatype for passing Mat's and vector<>'s as input parameters - */ -class CV_EXPORTS _InputArray -{ -public: - enum { - KIND_SHIFT = 16, - FIXED_TYPE = 0x8000 << KIND_SHIFT, - FIXED_SIZE = 0x4000 << KIND_SHIFT, - KIND_MASK = ~(FIXED_TYPE|FIXED_SIZE) - (1 << KIND_SHIFT) + 1, - - NONE = 0 << KIND_SHIFT, - MAT = 1 << KIND_SHIFT, - MATX = 2 << KIND_SHIFT, - STD_VECTOR = 3 << KIND_SHIFT, - STD_VECTOR_VECTOR = 4 << KIND_SHIFT, - STD_VECTOR_MAT = 5 << KIND_SHIFT, - EXPR = 6 << KIND_SHIFT, - OPENGL_BUFFER = 7 << KIND_SHIFT, - OPENGL_TEXTURE = 8 << KIND_SHIFT, - GPU_MAT = 9 << KIND_SHIFT, - OCL_MAT =10 << KIND_SHIFT - }; - _InputArray(); - - _InputArray(const Mat& m); - _InputArray(const MatExpr& expr); - template _InputArray(const _Tp* vec, int n); - template _InputArray(const vector<_Tp>& vec); - template _InputArray(const vector >& vec); - _InputArray(const vector& vec); - template _InputArray(const vector >& vec); - template _InputArray(const Mat_<_Tp>& m); - template _InputArray(const Matx<_Tp, m, n>& matx); - _InputArray(const Scalar& s); - _InputArray(const double& val); - // < Deprecated - _InputArray(const GlBuffer& buf); - _InputArray(const GlTexture& tex); - // > - _InputArray(const gpu::GpuMat& d_mat); - _InputArray(const ogl::Buffer& buf); - _InputArray(const ogl::Texture2D& tex); - - virtual Mat getMat(int i=-1) const; - virtual void getMatVector(vector& mv) const; - // < Deprecated - virtual GlBuffer getGlBuffer() const; - virtual GlTexture getGlTexture() const; - // > - virtual gpu::GpuMat getGpuMat() const; - /*virtual*/ ogl::Buffer getOGlBuffer() const; - /*virtual*/ ogl::Texture2D getOGlTexture2D() const; - - virtual int kind() const; - virtual Size size(int i=-1) const; - virtual size_t total(int i=-1) const; - virtual int type(int i=-1) const; - virtual int depth(int i=-1) const; - virtual int channels(int i=-1) const; - virtual bool empty() const; - -#ifdef OPENCV_CAN_BREAK_BINARY_COMPATIBILITY - virtual ~_InputArray(); -#endif - - int flags; - void* obj; - Size sz; -}; - - -enum -{ - DEPTH_MASK_8U = 1 << CV_8U, - DEPTH_MASK_8S = 1 << CV_8S, - DEPTH_MASK_16U = 1 << CV_16U, - DEPTH_MASK_16S = 1 << CV_16S, - DEPTH_MASK_32S = 1 << CV_32S, - DEPTH_MASK_32F = 1 << CV_32F, - DEPTH_MASK_64F = 1 << CV_64F, - DEPTH_MASK_ALL = (DEPTH_MASK_64F<<1)-1, - DEPTH_MASK_ALL_BUT_8S = DEPTH_MASK_ALL & ~DEPTH_MASK_8S, - DEPTH_MASK_FLT = DEPTH_MASK_32F + DEPTH_MASK_64F -}; - - -/*! - Proxy datatype for passing Mat's and vector<>'s as input parameters - */ -class CV_EXPORTS _OutputArray : public _InputArray -{ -public: - _OutputArray(); - - _OutputArray(Mat& m); - template _OutputArray(vector<_Tp>& vec); - template _OutputArray(vector >& vec); - _OutputArray(vector& vec); - template _OutputArray(vector >& vec); - template _OutputArray(Mat_<_Tp>& m); - template _OutputArray(Matx<_Tp, m, n>& matx); - template _OutputArray(_Tp* vec, int n); - _OutputArray(gpu::GpuMat& d_mat); - _OutputArray(ogl::Buffer& buf); - _OutputArray(ogl::Texture2D& tex); - - _OutputArray(const Mat& m); - template _OutputArray(const vector<_Tp>& vec); - template _OutputArray(const vector >& vec); - _OutputArray(const vector& vec); - template _OutputArray(const vector >& vec); - template _OutputArray(const Mat_<_Tp>& m); - template _OutputArray(const Matx<_Tp, m, n>& matx); - template _OutputArray(const _Tp* vec, int n); - _OutputArray(const gpu::GpuMat& d_mat); - _OutputArray(const ogl::Buffer& buf); - _OutputArray(const ogl::Texture2D& tex); - - virtual bool fixedSize() const; - virtual bool fixedType() const; - virtual bool needed() const; - virtual Mat& getMatRef(int i=-1) const; - /*virtual*/ gpu::GpuMat& getGpuMatRef() const; - /*virtual*/ ogl::Buffer& getOGlBufferRef() const; - /*virtual*/ ogl::Texture2D& getOGlTexture2DRef() const; - virtual void create(Size sz, int type, int i=-1, bool allowTransposed=false, int fixedDepthMask=0) const; - virtual void create(int rows, int cols, int type, int i=-1, bool allowTransposed=false, int fixedDepthMask=0) const; - virtual void create(int dims, const int* size, int type, int i=-1, bool allowTransposed=false, int fixedDepthMask=0) const; - virtual void release() const; - virtual void clear() const; - -#ifdef OPENCV_CAN_BREAK_BINARY_COMPATIBILITY - virtual ~_OutputArray(); -#endif -}; - -typedef const _InputArray& InputArray; -typedef InputArray InputArrayOfArrays; -typedef const _OutputArray& OutputArray; -typedef OutputArray OutputArrayOfArrays; -typedef OutputArray InputOutputArray; -typedef OutputArray InputOutputArrayOfArrays; - -CV_EXPORTS OutputArray noArray(); - -/////////////////////////////////////// Mat /////////////////////////////////////////// - -enum { MAGIC_MASK=0xFFFF0000, TYPE_MASK=0x00000FFF, DEPTH_MASK=7 }; - -static inline size_t getElemSize(int type) { return CV_ELEM_SIZE(type); } - -/*! - Custom array allocator - -*/ -class CV_EXPORTS MatAllocator -{ -public: - MatAllocator() {} - virtual ~MatAllocator() {} - virtual void allocate(int dims, const int* sizes, int type, int*& refcount, - uchar*& datastart, uchar*& data, size_t* step) = 0; - virtual void deallocate(int* refcount, uchar* datastart, uchar* data) = 0; -}; - -/*! - The n-dimensional matrix class. - - The class represents an n-dimensional dense numerical array that can act as - a matrix, image, optical flow map, 3-focal tensor etc. - It is very similar to CvMat and CvMatND types from earlier versions of OpenCV, - and similarly to those types, the matrix can be multi-channel. It also fully supports ROI mechanism. - - There are many different ways to create cv::Mat object. Here are the some popular ones: -
    -
  • using cv::Mat::create(nrows, ncols, type) method or - the similar constructor cv::Mat::Mat(nrows, ncols, type[, fill_value]) constructor. - A new matrix of the specified size and specifed type will be allocated. - "type" has the same meaning as in cvCreateMat function, - e.g. CV_8UC1 means 8-bit single-channel matrix, CV_32FC2 means 2-channel (i.e. complex) - floating-point matrix etc: - - \code - // make 7x7 complex matrix filled with 1+3j. - cv::Mat M(7,7,CV_32FC2,Scalar(1,3)); - // and now turn M to 100x60 15-channel 8-bit matrix. - // The old content will be deallocated - M.create(100,60,CV_8UC(15)); - \endcode - - As noted in the introduction of this chapter, Mat::create() - will only allocate a new matrix when the current matrix dimensionality - or type are different from the specified. - -
  • by using a copy constructor or assignment operator, where on the right side it can - be a matrix or expression, see below. Again, as noted in the introduction, - matrix assignment is O(1) operation because it only copies the header - and increases the reference counter. cv::Mat::clone() method can be used to get a full - (a.k.a. deep) copy of the matrix when you need it. - -
  • by constructing a header for a part of another matrix. It can be a single row, single column, - several rows, several columns, rectangular region in the matrix (called a minor in algebra) or - a diagonal. Such operations are also O(1), because the new header will reference the same data. - You can actually modify a part of the matrix using this feature, e.g. - - \code - // add 5-th row, multiplied by 3 to the 3rd row - M.row(3) = M.row(3) + M.row(5)*3; - - // now copy 7-th column to the 1-st column - // M.col(1) = M.col(7); // this will not work - Mat M1 = M.col(1); - M.col(7).copyTo(M1); - - // create new 320x240 image - cv::Mat img(Size(320,240),CV_8UC3); - // select a roi - cv::Mat roi(img, Rect(10,10,100,100)); - // fill the ROI with (0,255,0) (which is green in RGB space); - // the original 320x240 image will be modified - roi = Scalar(0,255,0); - \endcode - - Thanks to the additional cv::Mat::datastart and cv::Mat::dataend members, it is possible to - compute the relative sub-matrix position in the main "container" matrix using cv::Mat::locateROI(): - - \code - Mat A = Mat::eye(10, 10, CV_32S); - // extracts A columns, 1 (inclusive) to 3 (exclusive). - Mat B = A(Range::all(), Range(1, 3)); - // extracts B rows, 5 (inclusive) to 9 (exclusive). - // that is, C ~ A(Range(5, 9), Range(1, 3)) - Mat C = B(Range(5, 9), Range::all()); - Size size; Point ofs; - C.locateROI(size, ofs); - // size will be (width=10,height=10) and the ofs will be (x=1, y=5) - \endcode - - As in the case of whole matrices, if you need a deep copy, use cv::Mat::clone() method - of the extracted sub-matrices. - -
  • by making a header for user-allocated-data. It can be useful for -
      -
    1. processing "foreign" data using OpenCV (e.g. when you implement - a DirectShow filter or a processing module for gstreamer etc.), e.g. - - \code - void process_video_frame(const unsigned char* pixels, - int width, int height, int step) - { - cv::Mat img(height, width, CV_8UC3, pixels, step); - cv::GaussianBlur(img, img, cv::Size(7,7), 1.5, 1.5); - } - \endcode - -
    2. for quick initialization of small matrices and/or super-fast element access - - \code - double m[3][3] = {{a, b, c}, {d, e, f}, {g, h, i}}; - cv::Mat M = cv::Mat(3, 3, CV_64F, m).inv(); - \endcode -
    - - partial yet very common cases of this "user-allocated data" case are conversions - from CvMat and IplImage to cv::Mat. For this purpose there are special constructors - taking pointers to CvMat or IplImage and the optional - flag indicating whether to copy the data or not. - - Backward conversion from cv::Mat to CvMat or IplImage is provided via cast operators - cv::Mat::operator CvMat() an cv::Mat::operator IplImage(). - The operators do not copy the data. - - - \code - IplImage* img = cvLoadImage("greatwave.jpg", 1); - Mat mtx(img); // convert IplImage* -> cv::Mat - CvMat oldmat = mtx; // convert cv::Mat -> CvMat - CV_Assert(oldmat.cols == img->width && oldmat.rows == img->height && - oldmat.data.ptr == (uchar*)img->imageData && oldmat.step == img->widthStep); - \endcode - -
  • by using MATLAB-style matrix initializers, cv::Mat::zeros(), cv::Mat::ones(), cv::Mat::eye(), e.g.: - - \code - // create a double-precision identity martix and add it to M. - M += Mat::eye(M.rows, M.cols, CV_64F); - \endcode - -
  • by using comma-separated initializer: - - \code - // create 3x3 double-precision identity matrix - Mat M = (Mat_(3,3) << 1, 0, 0, 0, 1, 0, 0, 0, 1); - \endcode - - here we first call constructor of cv::Mat_ class (that we describe further) with the proper matrix, - and then we just put "<<" operator followed by comma-separated values that can be constants, - variables, expressions etc. Also, note the extra parentheses that are needed to avoid compiler errors. - -
- - Once matrix is created, it will be automatically managed by using reference-counting mechanism - (unless the matrix header is built on top of user-allocated data, - in which case you should handle the data by yourself). - The matrix data will be deallocated when no one points to it; - if you want to release the data pointed by a matrix header before the matrix destructor is called, - use cv::Mat::release(). - - The next important thing to learn about the matrix class is element access. Here is how the matrix is stored. - The elements are stored in row-major order (row by row). The cv::Mat::data member points to the first element of the first row, - cv::Mat::rows contains the number of matrix rows and cv::Mat::cols - the number of matrix columns. There is yet another member, - cv::Mat::step that is used to actually compute address of a matrix element. cv::Mat::step is needed because the matrix can be - a part of another matrix or because there can some padding space in the end of each row for a proper alignment. - - Given these parameters, address of the matrix element M_{ij} is computed as following: - - addr(M_{ij})=M.data + M.step*i + j*M.elemSize() - - if you know the matrix element type, e.g. it is float, then you can use cv::Mat::at() method: - - addr(M_{ij})=&M.at(i,j) - - (where & is used to convert the reference returned by cv::Mat::at() to a pointer). - if you need to process a whole row of matrix, the most efficient way is to get - the pointer to the row first, and then just use plain C operator []: - - \code - // compute sum of positive matrix elements - // (assuming that M is double-precision matrix) - double sum=0; - for(int i = 0; i < M.rows; i++) - { - const double* Mi = M.ptr(i); - for(int j = 0; j < M.cols; j++) - sum += std::max(Mi[j], 0.); - } - \endcode - - Some operations, like the above one, do not actually depend on the matrix shape, - they just process elements of a matrix one by one (or elements from multiple matrices - that are sitting in the same place, e.g. matrix addition). Such operations are called - element-wise and it makes sense to check whether all the input/output matrices are continuous, - i.e. have no gaps in the end of each row, and if yes, process them as a single long row: - - \code - // compute sum of positive matrix elements, optimized variant - double sum=0; - int cols = M.cols, rows = M.rows; - if(M.isContinuous()) - { - cols *= rows; - rows = 1; - } - for(int i = 0; i < rows; i++) - { - const double* Mi = M.ptr(i); - for(int j = 0; j < cols; j++) - sum += std::max(Mi[j], 0.); - } - \endcode - in the case of continuous matrix the outer loop body will be executed just once, - so the overhead will be smaller, which will be especially noticeable in the case of small matrices. - - Finally, there are STL-style iterators that are smart enough to skip gaps between successive rows: - \code - // compute sum of positive matrix elements, iterator-based variant - double sum=0; - MatConstIterator_ it = M.begin(), it_end = M.end(); - for(; it != it_end; ++it) - sum += std::max(*it, 0.); - \endcode - - The matrix iterators are random-access iterators, so they can be passed - to any STL algorithm, including std::sort(). -*/ -class CV_EXPORTS Mat -{ -public: - //! default constructor - Mat(); - //! constructs 2D matrix of the specified size and type - // (_type is CV_8UC1, CV_64FC3, CV_32SC(12) etc.) - Mat(int rows, int cols, int type); - Mat(Size size, int type); - //! constucts 2D matrix and fills it with the specified value _s. - Mat(int rows, int cols, int type, const Scalar& s); - Mat(Size size, int type, const Scalar& s); - - //! constructs n-dimensional matrix - Mat(int ndims, const int* sizes, int type); - Mat(int ndims, const int* sizes, int type, const Scalar& s); - - //! copy constructor - Mat(const Mat& m); - //! constructor for matrix headers pointing to user-allocated data - Mat(int rows, int cols, int type, void* data, size_t step=AUTO_STEP); - Mat(Size size, int type, void* data, size_t step=AUTO_STEP); - Mat(int ndims, const int* sizes, int type, void* data, const size_t* steps=0); - - //! creates a matrix header for a part of the bigger matrix - Mat(const Mat& m, const Range& rowRange, const Range& colRange=Range::all()); - Mat(const Mat& m, const Rect& roi); - Mat(const Mat& m, const Range* ranges); - //! converts old-style CvMat to the new matrix; the data is not copied by default - Mat(const CvMat* m, bool copyData=false); - //! converts old-style CvMatND to the new matrix; the data is not copied by default - Mat(const CvMatND* m, bool copyData=false); - //! converts old-style IplImage to the new matrix; the data is not copied by default - Mat(const IplImage* img, bool copyData=false); - //! builds matrix from std::vector with or without copying the data - template explicit Mat(const vector<_Tp>& vec, bool copyData=false); - //! builds matrix from cv::Vec; the data is copied by default - template explicit Mat(const Vec<_Tp, n>& vec, bool copyData=true); - //! builds matrix from cv::Matx; the data is copied by default - template explicit Mat(const Matx<_Tp, m, n>& mtx, bool copyData=true); - //! builds matrix from a 2D point - template explicit Mat(const Point_<_Tp>& pt, bool copyData=true); - //! builds matrix from a 3D point - template explicit Mat(const Point3_<_Tp>& pt, bool copyData=true); - //! builds matrix from comma initializer - template explicit Mat(const MatCommaInitializer_<_Tp>& commaInitializer); - - //! download data from GpuMat - explicit Mat(const gpu::GpuMat& m); - - //! destructor - calls release() - ~Mat(); - //! assignment operators - Mat& operator = (const Mat& m); - Mat& operator = (const MatExpr& expr); - - //! returns a new matrix header for the specified row - Mat row(int y) const; - //! returns a new matrix header for the specified column - Mat col(int x) const; - //! ... for the specified row span - Mat rowRange(int startrow, int endrow) const; - Mat rowRange(const Range& r) const; - //! ... for the specified column span - Mat colRange(int startcol, int endcol) const; - Mat colRange(const Range& r) const; - //! ... for the specified diagonal - // (d=0 - the main diagonal, - // >0 - a diagonal from the lower half, - // <0 - a diagonal from the upper half) - Mat diag(int d=0) const; - //! constructs a square diagonal matrix which main diagonal is vector "d" - static Mat diag(const Mat& d); - - //! returns deep copy of the matrix, i.e. the data is copied - Mat clone() const; - //! copies the matrix content to "m". - // It calls m.create(this->size(), this->type()). - void copyTo( OutputArray m ) const; - //! copies those matrix elements to "m" that are marked with non-zero mask elements. - void copyTo( OutputArray m, InputArray mask ) const; - //! converts matrix to another datatype with optional scalng. See cvConvertScale. - void convertTo( OutputArray m, int rtype, double alpha=1, double beta=0 ) const; - - void assignTo( Mat& m, int type=-1 ) const; - - //! sets every matrix element to s - Mat& operator = (const Scalar& s); - //! sets some of the matrix elements to s, according to the mask - Mat& setTo(InputArray value, InputArray mask=noArray()); - //! creates alternative matrix header for the same data, with different - // number of channels and/or different number of rows. see cvReshape. - Mat reshape(int cn, int rows=0) const; - Mat reshape(int cn, int newndims, const int* newsz) const; - - //! matrix transposition by means of matrix expressions - MatExpr t() const; - //! matrix inversion by means of matrix expressions - MatExpr inv(int method=DECOMP_LU) const; - //! per-element matrix multiplication by means of matrix expressions - MatExpr mul(InputArray m, double scale=1) const; - - //! computes cross-product of 2 3D vectors - Mat cross(InputArray m) const; - //! computes dot-product - double dot(InputArray m) const; - - //! Matlab-style matrix initialization - static MatExpr zeros(int rows, int cols, int type); - static MatExpr zeros(Size size, int type); - static MatExpr zeros(int ndims, const int* sz, int type); - static MatExpr ones(int rows, int cols, int type); - static MatExpr ones(Size size, int type); - static MatExpr ones(int ndims, const int* sz, int type); - static MatExpr eye(int rows, int cols, int type); - static MatExpr eye(Size size, int type); - - //! allocates new matrix data unless the matrix already has specified size and type. - // previous data is unreferenced if needed. - void create(int rows, int cols, int type); - void create(Size size, int type); - void create(int ndims, const int* sizes, int type); - - //! increases the reference counter; use with care to avoid memleaks - void addref(); - //! decreases reference counter; - // deallocates the data when reference counter reaches 0. - void release(); - - //! deallocates the matrix data - void deallocate(); - //! internal use function; properly re-allocates _size, _step arrays - void copySize(const Mat& m); - - //! reserves enough space to fit sz hyper-planes - void reserve(size_t sz); - //! resizes matrix to the specified number of hyper-planes - void resize(size_t sz); - //! resizes matrix to the specified number of hyper-planes; initializes the newly added elements - void resize(size_t sz, const Scalar& s); - //! internal function - void push_back_(const void* elem); - //! adds element to the end of 1d matrix (or possibly multiple elements when _Tp=Mat) - template void push_back(const _Tp& elem); - template void push_back(const Mat_<_Tp>& elem); - void push_back(const Mat& m); - //! removes several hyper-planes from bottom of the matrix - void pop_back(size_t nelems=1); - - //! locates matrix header within a parent matrix. See below - void locateROI( Size& wholeSize, Point& ofs ) const; - //! moves/resizes the current matrix ROI inside the parent matrix. - Mat& adjustROI( int dtop, int dbottom, int dleft, int dright ); - //! extracts a rectangular sub-matrix - // (this is a generalized form of row, rowRange etc.) - Mat operator()( Range rowRange, Range colRange ) const; - Mat operator()( const Rect& roi ) const; - Mat operator()( const Range* ranges ) const; - - //! converts header to CvMat; no data is copied - operator CvMat() const; - //! converts header to CvMatND; no data is copied - operator CvMatND() const; - //! converts header to IplImage; no data is copied - operator IplImage() const; - - template operator vector<_Tp>() const; - template operator Vec<_Tp, n>() const; - template operator Matx<_Tp, m, n>() const; - - //! returns true iff the matrix data is continuous - // (i.e. when there are no gaps between successive rows). - // similar to CV_IS_MAT_CONT(cvmat->type) - bool isContinuous() const; - - //! returns true if the matrix is a submatrix of another matrix - bool isSubmatrix() const; - - //! returns element size in bytes, - // similar to CV_ELEM_SIZE(cvmat->type) - size_t elemSize() const; - //! returns the size of element channel in bytes. - size_t elemSize1() const; - //! returns element type, similar to CV_MAT_TYPE(cvmat->type) - int type() const; - //! returns element type, similar to CV_MAT_DEPTH(cvmat->type) - int depth() const; - //! returns element type, similar to CV_MAT_CN(cvmat->type) - int channels() const; - //! returns step/elemSize1() - size_t step1(int i=0) const; - //! returns true if matrix data is NULL - bool empty() const; - //! returns the total number of matrix elements - size_t total() const; - - //! returns N if the matrix is 1-channel (N x ptdim) or ptdim-channel (1 x N) or (N x 1); negative number otherwise - int checkVector(int elemChannels, int depth=-1, bool requireContinuous=true) const; - - //! returns pointer to i0-th submatrix along the dimension #0 - uchar* ptr(int i0=0); - const uchar* ptr(int i0=0) const; - - //! returns pointer to (i0,i1) submatrix along the dimensions #0 and #1 - uchar* ptr(int i0, int i1); - const uchar* ptr(int i0, int i1) const; - - //! returns pointer to (i0,i1,i3) submatrix along the dimensions #0, #1, #2 - uchar* ptr(int i0, int i1, int i2); - const uchar* ptr(int i0, int i1, int i2) const; - - //! returns pointer to the matrix element - uchar* ptr(const int* idx); - //! returns read-only pointer to the matrix element - const uchar* ptr(const int* idx) const; - - template uchar* ptr(const Vec& idx); - template const uchar* ptr(const Vec& idx) const; - - //! template version of the above method - template _Tp* ptr(int i0=0); - template const _Tp* ptr(int i0=0) const; - - template _Tp* ptr(int i0, int i1); - template const _Tp* ptr(int i0, int i1) const; - - template _Tp* ptr(int i0, int i1, int i2); - template const _Tp* ptr(int i0, int i1, int i2) const; - - template _Tp* ptr(const int* idx); - template const _Tp* ptr(const int* idx) const; - - template _Tp* ptr(const Vec& idx); - template const _Tp* ptr(const Vec& idx) const; - - //! the same as above, with the pointer dereferencing - template _Tp& at(int i0=0); - template const _Tp& at(int i0=0) const; - - template _Tp& at(int i0, int i1); - template const _Tp& at(int i0, int i1) const; - - template _Tp& at(int i0, int i1, int i2); - template const _Tp& at(int i0, int i1, int i2) const; - - template _Tp& at(const int* idx); - template const _Tp& at(const int* idx) const; - - template _Tp& at(const Vec& idx); - template const _Tp& at(const Vec& idx) const; - - //! special versions for 2D arrays (especially convenient for referencing image pixels) - template _Tp& at(Point pt); - template const _Tp& at(Point pt) const; - - //! template methods for iteration over matrix elements. - // the iterators take care of skipping gaps in the end of rows (if any) - template MatIterator_<_Tp> begin(); - template MatIterator_<_Tp> end(); - template MatConstIterator_<_Tp> begin() const; - template MatConstIterator_<_Tp> end() const; - - enum { MAGIC_VAL=0x42FF0000, AUTO_STEP=0, CONTINUOUS_FLAG=CV_MAT_CONT_FLAG, SUBMATRIX_FLAG=CV_SUBMAT_FLAG }; - - /*! includes several bit-fields: - - the magic signature - - continuity flag - - depth - - number of channels - */ - int flags; - //! the matrix dimensionality, >= 2 - int dims; - //! the number of rows and columns or (-1, -1) when the matrix has more than 2 dimensions - int rows, cols; - //! pointer to the data - uchar* data; - - //! pointer to the reference counter; - // when matrix points to user-allocated data, the pointer is NULL - int* refcount; - - //! helper fields used in locateROI and adjustROI - uchar* datastart; - uchar* dataend; - uchar* datalimit; - - //! custom allocator - MatAllocator* allocator; - - struct CV_EXPORTS MSize - { - MSize(int* _p); - Size operator()() const; - const int& operator[](int i) const; - int& operator[](int i); - operator const int*() const; - bool operator == (const MSize& sz) const; - bool operator != (const MSize& sz) const; - - int* p; - }; - - struct CV_EXPORTS MStep - { - MStep(); - MStep(size_t s); - const size_t& operator[](int i) const; - size_t& operator[](int i); - operator size_t() const; - MStep& operator = (size_t s); - - size_t* p; - size_t buf[2]; - protected: - MStep& operator = (const MStep&); - }; - - MSize size; - MStep step; - -protected: - void initEmpty(); -}; - - -/*! - Random Number Generator - - The class implements RNG using Multiply-with-Carry algorithm -*/ -class CV_EXPORTS RNG -{ -public: - enum { UNIFORM=0, NORMAL=1 }; - - RNG(); - RNG(uint64 state); - //! updates the state and returns the next 32-bit unsigned integer random number - unsigned next(); - - operator uchar(); - operator schar(); - operator ushort(); - operator short(); - operator unsigned(); - //! returns a random integer sampled uniformly from [0, N). - unsigned operator ()(unsigned N); - unsigned operator ()(); - operator int(); - operator float(); - operator double(); - //! returns uniformly distributed integer random number from [a,b) range - int uniform(int a, int b); - //! returns uniformly distributed floating-point random number from [a,b) range - float uniform(float a, float b); - //! returns uniformly distributed double-precision floating-point random number from [a,b) range - double uniform(double a, double b); - void fill( InputOutputArray mat, int distType, InputArray a, InputArray b, bool saturateRange=false ); - //! returns Gaussian random variate with mean zero. - double gaussian(double sigma); - - uint64 state; -}; - -/*! - Random Number Generator - MT - - The class implements RNG using the Mersenne Twister algorithm -*/ -class CV_EXPORTS RNG_MT19937 -{ -public: - RNG_MT19937(); - RNG_MT19937(unsigned s); - void seed(unsigned s); - - unsigned next(); - - operator int(); - operator unsigned(); - operator float(); - operator double(); - - unsigned operator ()(unsigned N); - unsigned operator ()(); - - //! returns uniformly distributed integer random number from [a,b) range - int uniform(int a, int b); - //! returns uniformly distributed floating-point random number from [a,b) range - float uniform(float a, float b); - //! returns uniformly distributed double-precision floating-point random number from [a,b) range - double uniform(double a, double b); - -private: - enum PeriodParameters {N = 624, M = 397}; - unsigned state[N]; - int mti; -}; - -/*! - Termination criteria in iterative algorithms - */ -class CV_EXPORTS TermCriteria -{ -public: - enum - { - COUNT=1, //!< the maximum number of iterations or elements to compute - MAX_ITER=COUNT, //!< ditto - EPS=2 //!< the desired accuracy or change in parameters at which the iterative algorithm stops - }; - - //! default constructor - TermCriteria(); - //! full constructor - TermCriteria(int type, int maxCount, double epsilon); - //! conversion from CvTermCriteria - TermCriteria(const CvTermCriteria& criteria); - //! conversion to CvTermCriteria - operator CvTermCriteria() const; - - int type; //!< the type of termination criteria: COUNT, EPS or COUNT + EPS - int maxCount; // the maximum number of iterations/elements - double epsilon; // the desired accuracy -}; - - -typedef void (*BinaryFunc)(const uchar* src1, size_t step1, - const uchar* src2, size_t step2, - uchar* dst, size_t step, Size sz, - void*); - -CV_EXPORTS BinaryFunc getConvertFunc(int sdepth, int ddepth); -CV_EXPORTS BinaryFunc getConvertScaleFunc(int sdepth, int ddepth); -CV_EXPORTS BinaryFunc getCopyMaskFunc(size_t esz); - -//! swaps two matrices -CV_EXPORTS void swap(Mat& a, Mat& b); - -//! converts array (CvMat or IplImage) to cv::Mat -CV_EXPORTS Mat cvarrToMat(const CvArr* arr, bool copyData=false, - bool allowND=true, int coiMode=0); -//! extracts Channel of Interest from CvMat or IplImage and makes cv::Mat out of it. -CV_EXPORTS void extractImageCOI(const CvArr* arr, OutputArray coiimg, int coi=-1); -//! inserts single-channel cv::Mat into a multi-channel CvMat or IplImage -CV_EXPORTS void insertImageCOI(InputArray coiimg, CvArr* arr, int coi=-1); - -//! adds one matrix to another (dst = src1 + src2) -CV_EXPORTS_W void add(InputArray src1, InputArray src2, OutputArray dst, - InputArray mask=noArray(), int dtype=-1); -//! subtracts one matrix from another (dst = src1 - src2) -CV_EXPORTS_W void subtract(InputArray src1, InputArray src2, OutputArray dst, - InputArray mask=noArray(), int dtype=-1); - -//! computes element-wise weighted product of the two arrays (dst = scale*src1*src2) -CV_EXPORTS_W void multiply(InputArray src1, InputArray src2, - OutputArray dst, double scale=1, int dtype=-1); - -//! computes element-wise weighted quotient of the two arrays (dst = scale*src1/src2) -CV_EXPORTS_W void divide(InputArray src1, InputArray src2, OutputArray dst, - double scale=1, int dtype=-1); - -//! computes element-wise weighted reciprocal of an array (dst = scale/src2) -CV_EXPORTS_W void divide(double scale, InputArray src2, - OutputArray dst, int dtype=-1); - -//! adds scaled array to another one (dst = alpha*src1 + src2) -CV_EXPORTS_W void scaleAdd(InputArray src1, double alpha, InputArray src2, OutputArray dst); - -//! computes weighted sum of two arrays (dst = alpha*src1 + beta*src2 + gamma) -CV_EXPORTS_W void addWeighted(InputArray src1, double alpha, InputArray src2, - double beta, double gamma, OutputArray dst, int dtype=-1); - -//! scales array elements, computes absolute values and converts the results to 8-bit unsigned integers: dst(i)=saturate_castabs(src(i)*alpha+beta) -CV_EXPORTS_W void convertScaleAbs(InputArray src, OutputArray dst, - double alpha=1, double beta=0); -//! transforms array of numbers using a lookup table: dst(i)=lut(src(i)) -CV_EXPORTS_W void LUT(InputArray src, InputArray lut, OutputArray dst, - int interpolation=0); - -//! computes sum of array elements -CV_EXPORTS_AS(sumElems) Scalar sum(InputArray src); -//! computes the number of nonzero array elements -CV_EXPORTS_W int countNonZero( InputArray src ); -//! returns the list of locations of non-zero pixels -CV_EXPORTS_W void findNonZero( InputArray src, OutputArray idx ); - -//! computes mean value of selected array elements -CV_EXPORTS_W Scalar mean(InputArray src, InputArray mask=noArray()); -//! computes mean value and standard deviation of all or selected array elements -CV_EXPORTS_W void meanStdDev(InputArray src, OutputArray mean, OutputArray stddev, - InputArray mask=noArray()); -//! computes norm of the selected array part -CV_EXPORTS_W double norm(InputArray src1, int normType=NORM_L2, InputArray mask=noArray()); -//! computes norm of selected part of the difference between two arrays -CV_EXPORTS_W double norm(InputArray src1, InputArray src2, - int normType=NORM_L2, InputArray mask=noArray()); - -//! naive nearest neighbor finder -CV_EXPORTS_W void batchDistance(InputArray src1, InputArray src2, - OutputArray dist, int dtype, OutputArray nidx, - int normType=NORM_L2, int K=0, - InputArray mask=noArray(), int update=0, - bool crosscheck=false); - -//! scales and shifts array elements so that either the specified norm (alpha) or the minimum (alpha) and maximum (beta) array values get the specified values -CV_EXPORTS_W void normalize( InputArray src, OutputArray dst, double alpha=1, double beta=0, - int norm_type=NORM_L2, int dtype=-1, InputArray mask=noArray()); - -//! finds global minimum and maximum array elements and returns their values and their locations -CV_EXPORTS_W void minMaxLoc(InputArray src, CV_OUT double* minVal, - CV_OUT double* maxVal=0, CV_OUT Point* minLoc=0, - CV_OUT Point* maxLoc=0, InputArray mask=noArray()); -CV_EXPORTS void minMaxIdx(InputArray src, double* minVal, double* maxVal, - int* minIdx=0, int* maxIdx=0, InputArray mask=noArray()); - -//! transforms 2D matrix to 1D row or column vector by taking sum, minimum, maximum or mean value over all the rows -CV_EXPORTS_W void reduce(InputArray src, OutputArray dst, int dim, int rtype, int dtype=-1); - -//! makes multi-channel array out of several single-channel arrays -CV_EXPORTS void merge(const Mat* mv, size_t count, OutputArray dst); -CV_EXPORTS void merge(const vector& mv, OutputArray dst ); - -//! makes multi-channel array out of several single-channel arrays -CV_EXPORTS_W void merge(InputArrayOfArrays mv, OutputArray dst); - -//! copies each plane of a multi-channel array to a dedicated array -CV_EXPORTS void split(const Mat& src, Mat* mvbegin); -CV_EXPORTS void split(const Mat& m, vector& mv ); - -//! copies each plane of a multi-channel array to a dedicated array -CV_EXPORTS_W void split(InputArray m, OutputArrayOfArrays mv); - -//! copies selected channels from the input arrays to the selected channels of the output arrays -CV_EXPORTS void mixChannels(const Mat* src, size_t nsrcs, Mat* dst, size_t ndsts, - const int* fromTo, size_t npairs); -CV_EXPORTS void mixChannels(const vector& src, vector& dst, - const int* fromTo, size_t npairs); -CV_EXPORTS_W void mixChannels(InputArrayOfArrays src, InputArrayOfArrays dst, - const vector& fromTo); - -//! extracts a single channel from src (coi is 0-based index) -CV_EXPORTS_W void extractChannel(InputArray src, OutputArray dst, int coi); - -//! inserts a single channel to dst (coi is 0-based index) -CV_EXPORTS_W void insertChannel(InputArray src, InputOutputArray dst, int coi); - -//! reverses the order of the rows, columns or both in a matrix -CV_EXPORTS_W void flip(InputArray src, OutputArray dst, int flipCode); - -//! replicates the input matrix the specified number of times in the horizontal and/or vertical direction -CV_EXPORTS_W void repeat(InputArray src, int ny, int nx, OutputArray dst); -CV_EXPORTS Mat repeat(const Mat& src, int ny, int nx); - -CV_EXPORTS void hconcat(const Mat* src, size_t nsrc, OutputArray dst); -CV_EXPORTS void hconcat(InputArray src1, InputArray src2, OutputArray dst); -CV_EXPORTS_W void hconcat(InputArrayOfArrays src, OutputArray dst); - -CV_EXPORTS void vconcat(const Mat* src, size_t nsrc, OutputArray dst); -CV_EXPORTS void vconcat(InputArray src1, InputArray src2, OutputArray dst); -CV_EXPORTS_W void vconcat(InputArrayOfArrays src, OutputArray dst); - -//! computes bitwise conjunction of the two arrays (dst = src1 & src2) -CV_EXPORTS_W void bitwise_and(InputArray src1, InputArray src2, - OutputArray dst, InputArray mask=noArray()); -//! computes bitwise disjunction of the two arrays (dst = src1 | src2) -CV_EXPORTS_W void bitwise_or(InputArray src1, InputArray src2, - OutputArray dst, InputArray mask=noArray()); -//! computes bitwise exclusive-or of the two arrays (dst = src1 ^ src2) -CV_EXPORTS_W void bitwise_xor(InputArray src1, InputArray src2, - OutputArray dst, InputArray mask=noArray()); -//! inverts each bit of array (dst = ~src) -CV_EXPORTS_W void bitwise_not(InputArray src, OutputArray dst, - InputArray mask=noArray()); -//! computes element-wise absolute difference of two arrays (dst = abs(src1 - src2)) -CV_EXPORTS_W void absdiff(InputArray src1, InputArray src2, OutputArray dst); -//! set mask elements for those array elements which are within the element-specific bounding box (dst = lowerb <= src && src < upperb) -CV_EXPORTS_W void inRange(InputArray src, InputArray lowerb, - InputArray upperb, OutputArray dst); -//! compares elements of two arrays (dst = src1 \ src2) -CV_EXPORTS_W void compare(InputArray src1, InputArray src2, OutputArray dst, int cmpop); -//! computes per-element minimum of two arrays (dst = min(src1, src2)) -CV_EXPORTS_W void min(InputArray src1, InputArray src2, OutputArray dst); -//! computes per-element maximum of two arrays (dst = max(src1, src2)) -CV_EXPORTS_W void max(InputArray src1, InputArray src2, OutputArray dst); - -//! computes per-element minimum of two arrays (dst = min(src1, src2)) -CV_EXPORTS void min(const Mat& src1, const Mat& src2, Mat& dst); -//! computes per-element minimum of array and scalar (dst = min(src1, src2)) -CV_EXPORTS void min(const Mat& src1, double src2, Mat& dst); -//! computes per-element maximum of two arrays (dst = max(src1, src2)) -CV_EXPORTS void max(const Mat& src1, const Mat& src2, Mat& dst); -//! computes per-element maximum of array and scalar (dst = max(src1, src2)) -CV_EXPORTS void max(const Mat& src1, double src2, Mat& dst); - -//! computes square root of each matrix element (dst = src**0.5) -CV_EXPORTS_W void sqrt(InputArray src, OutputArray dst); -//! raises the input matrix elements to the specified power (b = a**power) -CV_EXPORTS_W void pow(InputArray src, double power, OutputArray dst); -//! computes exponent of each matrix element (dst = e**src) -CV_EXPORTS_W void exp(InputArray src, OutputArray dst); -//! computes natural logarithm of absolute value of each matrix element: dst = log(abs(src)) -CV_EXPORTS_W void log(InputArray src, OutputArray dst); -//! computes cube root of the argument -CV_EXPORTS_W float cubeRoot(float val); -//! computes the angle in degrees (0..360) of the vector (x,y) -CV_EXPORTS_W float fastAtan2(float y, float x); - -CV_EXPORTS void exp(const float* src, float* dst, int n); -CV_EXPORTS void log(const float* src, float* dst, int n); -CV_EXPORTS void fastAtan2(const float* y, const float* x, float* dst, int n, bool angleInDegrees); -CV_EXPORTS void magnitude(const float* x, const float* y, float* dst, int n); - -//! converts polar coordinates to Cartesian -CV_EXPORTS_W void polarToCart(InputArray magnitude, InputArray angle, - OutputArray x, OutputArray y, bool angleInDegrees=false); -//! converts Cartesian coordinates to polar -CV_EXPORTS_W void cartToPolar(InputArray x, InputArray y, - OutputArray magnitude, OutputArray angle, - bool angleInDegrees=false); -//! computes angle (angle(i)) of each (x(i), y(i)) vector -CV_EXPORTS_W void phase(InputArray x, InputArray y, OutputArray angle, - bool angleInDegrees=false); -//! computes magnitude (magnitude(i)) of each (x(i), y(i)) vector -CV_EXPORTS_W void magnitude(InputArray x, InputArray y, OutputArray magnitude); -//! checks that each matrix element is within the specified range. -CV_EXPORTS_W bool checkRange(InputArray a, bool quiet=true, CV_OUT Point* pos=0, - double minVal=-DBL_MAX, double maxVal=DBL_MAX); -//! converts NaN's to the given number -CV_EXPORTS_W void patchNaNs(InputOutputArray a, double val=0); - -//! implements generalized matrix product algorithm GEMM from BLAS -CV_EXPORTS_W void gemm(InputArray src1, InputArray src2, double alpha, - InputArray src3, double beta, OutputArray dst, int flags=0); -//! multiplies matrix by its transposition from the left or from the right -CV_EXPORTS_W void mulTransposed( InputArray src, OutputArray dst, bool aTa, - InputArray delta=noArray(), - double scale=1, int dtype=-1 ); -//! transposes the matrix -CV_EXPORTS_W void transpose(InputArray src, OutputArray dst); -//! performs affine transformation of each element of multi-channel input matrix -CV_EXPORTS_W void transform(InputArray src, OutputArray dst, InputArray m ); -//! performs perspective transformation of each element of multi-channel input matrix -CV_EXPORTS_W void perspectiveTransform(InputArray src, OutputArray dst, InputArray m ); - -//! extends the symmetrical matrix from the lower half or from the upper half -CV_EXPORTS_W void completeSymm(InputOutputArray mtx, bool lowerToUpper=false); -//! initializes scaled identity matrix -CV_EXPORTS_W void setIdentity(InputOutputArray mtx, const Scalar& s=Scalar(1)); -//! computes determinant of a square matrix -CV_EXPORTS_W double determinant(InputArray mtx); -//! computes trace of a matrix -CV_EXPORTS_W Scalar trace(InputArray mtx); -//! computes inverse or pseudo-inverse matrix -CV_EXPORTS_W double invert(InputArray src, OutputArray dst, int flags=DECOMP_LU); -//! solves linear system or a least-square problem -CV_EXPORTS_W bool solve(InputArray src1, InputArray src2, - OutputArray dst, int flags=DECOMP_LU); - -enum -{ - SORT_EVERY_ROW=0, - SORT_EVERY_COLUMN=1, - SORT_ASCENDING=0, - SORT_DESCENDING=16 -}; - -//! sorts independently each matrix row or each matrix column -CV_EXPORTS_W void sort(InputArray src, OutputArray dst, int flags); -//! sorts independently each matrix row or each matrix column -CV_EXPORTS_W void sortIdx(InputArray src, OutputArray dst, int flags); -//! finds real roots of a cubic polynomial -CV_EXPORTS_W int solveCubic(InputArray coeffs, OutputArray roots); -//! finds real and complex roots of a polynomial -CV_EXPORTS_W double solvePoly(InputArray coeffs, OutputArray roots, int maxIters=300); -//! finds eigenvalues of a symmetric matrix -CV_EXPORTS bool eigen(InputArray src, OutputArray eigenvalues, int lowindex=-1, - int highindex=-1); -//! finds eigenvalues and eigenvectors of a symmetric matrix -CV_EXPORTS bool eigen(InputArray src, OutputArray eigenvalues, - OutputArray eigenvectors, - int lowindex=-1, int highindex=-1); -CV_EXPORTS_W bool eigen(InputArray src, bool computeEigenvectors, - OutputArray eigenvalues, OutputArray eigenvectors); - -enum -{ - COVAR_SCRAMBLED=0, - COVAR_NORMAL=1, - COVAR_USE_AVG=2, - COVAR_SCALE=4, - COVAR_ROWS=8, - COVAR_COLS=16 -}; - -//! computes covariation matrix of a set of samples -CV_EXPORTS void calcCovarMatrix( const Mat* samples, int nsamples, Mat& covar, Mat& mean, - int flags, int ctype=CV_64F); -//! computes covariation matrix of a set of samples -CV_EXPORTS_W void calcCovarMatrix( InputArray samples, OutputArray covar, - OutputArray mean, int flags, int ctype=CV_64F); - -/*! - Principal Component Analysis - - The class PCA is used to compute the special basis for a set of vectors. - The basis will consist of eigenvectors of the covariance matrix computed - from the input set of vectors. After PCA is performed, vectors can be transformed from - the original high-dimensional space to the subspace formed by a few most - prominent eigenvectors (called the principal components), - corresponding to the largest eigenvalues of the covariation matrix. - Thus the dimensionality of the vector and the correlation between the coordinates is reduced. - - The following sample is the function that takes two matrices. The first one stores the set - of vectors (a row per vector) that is used to compute PCA, the second one stores another - "test" set of vectors (a row per vector) that are first compressed with PCA, - then reconstructed back and then the reconstruction error norm is computed and printed for each vector. - - \code - using namespace cv; - - PCA compressPCA(const Mat& pcaset, int maxComponents, - const Mat& testset, Mat& compressed) - { - PCA pca(pcaset, // pass the data - Mat(), // we do not have a pre-computed mean vector, - // so let the PCA engine to compute it - CV_PCA_DATA_AS_ROW, // indicate that the vectors - // are stored as matrix rows - // (use CV_PCA_DATA_AS_COL if the vectors are - // the matrix columns) - maxComponents // specify, how many principal components to retain - ); - // if there is no test data, just return the computed basis, ready-to-use - if( !testset.data ) - return pca; - CV_Assert( testset.cols == pcaset.cols ); - - compressed.create(testset.rows, maxComponents, testset.type()); - - Mat reconstructed; - for( int i = 0; i < testset.rows; i++ ) - { - Mat vec = testset.row(i), coeffs = compressed.row(i), reconstructed; - // compress the vector, the result will be stored - // in the i-th row of the output matrix - pca.project(vec, coeffs); - // and then reconstruct it - pca.backProject(coeffs, reconstructed); - // and measure the error - printf("%d. diff = %g\n", i, norm(vec, reconstructed, NORM_L2)); - } - return pca; - } - \endcode -*/ -class CV_EXPORTS PCA -{ -public: - //! default constructor - PCA(); - //! the constructor that performs PCA - PCA(InputArray data, InputArray mean, int flags, int maxComponents=0); - PCA(InputArray data, InputArray mean, int flags, double retainedVariance); - //! operator that performs PCA. The previously stored data, if any, is released - PCA& operator()(InputArray data, InputArray mean, int flags, int maxComponents=0); - PCA& computeVar(InputArray data, InputArray mean, int flags, double retainedVariance); - //! projects vector from the original space to the principal components subspace - Mat project(InputArray vec) const; - //! projects vector from the original space to the principal components subspace - void project(InputArray vec, OutputArray result) const; - //! reconstructs the original vector from the projection - Mat backProject(InputArray vec) const; - //! reconstructs the original vector from the projection - void backProject(InputArray vec, OutputArray result) const; - - Mat eigenvectors; //!< eigenvectors of the covariation matrix - Mat eigenvalues; //!< eigenvalues of the covariation matrix - Mat mean; //!< mean value subtracted before the projection and added after the back projection -}; - -CV_EXPORTS_W void PCACompute(InputArray data, CV_OUT InputOutputArray mean, - OutputArray eigenvectors, int maxComponents=0); - -CV_EXPORTS_W void PCAComputeVar(InputArray data, CV_OUT InputOutputArray mean, - OutputArray eigenvectors, double retainedVariance); - -CV_EXPORTS_W void PCAProject(InputArray data, InputArray mean, - InputArray eigenvectors, OutputArray result); - -CV_EXPORTS_W void PCABackProject(InputArray data, InputArray mean, - InputArray eigenvectors, OutputArray result); - - -/*! - Singular Value Decomposition class - - The class is used to compute Singular Value Decomposition of a floating-point matrix and then - use it to solve least-square problems, under-determined linear systems, invert matrices, - compute condition numbers etc. - - For a bit faster operation you can pass flags=SVD::MODIFY_A|... to modify the decomposed matrix - when it is not necessarily to preserve it. If you want to compute condition number of a matrix - or absolute value of its determinant - you do not need SVD::u or SVD::vt, - so you can pass flags=SVD::NO_UV|... . Another flag SVD::FULL_UV indicates that the full-size SVD::u and SVD::vt - must be computed, which is not necessary most of the time. -*/ -class CV_EXPORTS SVD -{ -public: - enum { MODIFY_A=1, NO_UV=2, FULL_UV=4 }; - //! the default constructor - SVD(); - //! the constructor that performs SVD - SVD( InputArray src, int flags=0 ); - //! the operator that performs SVD. The previously allocated SVD::u, SVD::w are SVD::vt are released. - SVD& operator ()( InputArray src, int flags=0 ); - - //! decomposes matrix and stores the results to user-provided matrices - static void compute( InputArray src, OutputArray w, - OutputArray u, OutputArray vt, int flags=0 ); - //! computes singular values of a matrix - static void compute( InputArray src, OutputArray w, int flags=0 ); - //! performs back substitution - static void backSubst( InputArray w, InputArray u, - InputArray vt, InputArray rhs, - OutputArray dst ); - - template static void compute( const Matx<_Tp, m, n>& a, - Matx<_Tp, nm, 1>& w, Matx<_Tp, m, nm>& u, Matx<_Tp, n, nm>& vt ); - template static void compute( const Matx<_Tp, m, n>& a, - Matx<_Tp, nm, 1>& w ); - template static void backSubst( const Matx<_Tp, nm, 1>& w, - const Matx<_Tp, m, nm>& u, const Matx<_Tp, n, nm>& vt, const Matx<_Tp, m, nb>& rhs, Matx<_Tp, n, nb>& dst ); - - //! finds dst = arg min_{|dst|=1} |m*dst| - static void solveZ( InputArray src, OutputArray dst ); - //! performs back substitution, so that dst is the solution or pseudo-solution of m*dst = rhs, where m is the decomposed matrix - void backSubst( InputArray rhs, OutputArray dst ) const; - - Mat u, w, vt; -}; - -//! computes SVD of src -CV_EXPORTS_W void SVDecomp( InputArray src, CV_OUT OutputArray w, - CV_OUT OutputArray u, CV_OUT OutputArray vt, int flags=0 ); - -//! performs back substitution for the previously computed SVD -CV_EXPORTS_W void SVBackSubst( InputArray w, InputArray u, InputArray vt, - InputArray rhs, CV_OUT OutputArray dst ); - -//! computes Mahalanobis distance between two vectors: sqrt((v1-v2)'*icovar*(v1-v2)), where icovar is the inverse covariation matrix -CV_EXPORTS_W double Mahalanobis(InputArray v1, InputArray v2, InputArray icovar); -//! a synonym for Mahalanobis -CV_EXPORTS double Mahalonobis(InputArray v1, InputArray v2, InputArray icovar); - -//! performs forward or inverse 1D or 2D Discrete Fourier Transformation -CV_EXPORTS_W void dft(InputArray src, OutputArray dst, int flags=0, int nonzeroRows=0); -//! performs inverse 1D or 2D Discrete Fourier Transformation -CV_EXPORTS_W void idft(InputArray src, OutputArray dst, int flags=0, int nonzeroRows=0); -//! performs forward or inverse 1D or 2D Discrete Cosine Transformation -CV_EXPORTS_W void dct(InputArray src, OutputArray dst, int flags=0); -//! performs inverse 1D or 2D Discrete Cosine Transformation -CV_EXPORTS_W void idct(InputArray src, OutputArray dst, int flags=0); -//! computes element-wise product of the two Fourier spectrums. The second spectrum can optionally be conjugated before the multiplication -CV_EXPORTS_W void mulSpectrums(InputArray a, InputArray b, OutputArray c, - int flags, bool conjB=false); -//! computes the minimal vector size vecsize1 >= vecsize so that the dft() of the vector of length vecsize1 can be computed efficiently -CV_EXPORTS_W int getOptimalDFTSize(int vecsize); - -/*! - Various k-Means flags -*/ -enum -{ - KMEANS_RANDOM_CENTERS=0, // Chooses random centers for k-Means initialization - KMEANS_PP_CENTERS=2, // Uses k-Means++ algorithm for initialization - KMEANS_USE_INITIAL_LABELS=1 // Uses the user-provided labels for K-Means initialization -}; -//! clusters the input data using k-Means algorithm -CV_EXPORTS_W double kmeans( InputArray data, int K, CV_OUT InputOutputArray bestLabels, - TermCriteria criteria, int attempts, - int flags, OutputArray centers=noArray() ); - -//! returns the thread-local Random number generator -CV_EXPORTS RNG& theRNG(); - -//! sets state of the thread-local Random number generator -CV_EXPORTS_W void setRNGSeed(int seed); - -//! returns the next unifomly-distributed random number of the specified type -template static inline _Tp randu() { return (_Tp)theRNG(); } - -//! fills array with uniformly-distributed random numbers from the range [low, high) -CV_EXPORTS_W void randu(InputOutputArray dst, InputArray low, InputArray high); - -//! fills array with normally-distributed random numbers with the specified mean and the standard deviation -CV_EXPORTS_W void randn(InputOutputArray dst, InputArray mean, InputArray stddev); - -//! shuffles the input array elements -CV_EXPORTS void randShuffle(InputOutputArray dst, double iterFactor=1., RNG* rng=0); -CV_EXPORTS_AS(randShuffle) void randShuffle_(InputOutputArray dst, double iterFactor=1.); - -//! draws the line segment (pt1, pt2) in the image -CV_EXPORTS_W void line(CV_IN_OUT Mat& img, Point pt1, Point pt2, const Scalar& color, - int thickness=1, int lineType=8, int shift=0); - -//! draws an arrow from pt1 to pt2 in the image -CV_EXPORTS_W void arrowedLine(CV_IN_OUT Mat& img, Point pt1, Point pt2, const Scalar& color, - int thickness=1, int line_type=8, int shift=0, double tipLength=0.1); - -//! draws the rectangle outline or a solid rectangle with the opposite corners pt1 and pt2 in the image -CV_EXPORTS_W void rectangle(CV_IN_OUT Mat& img, Point pt1, Point pt2, - const Scalar& color, int thickness=1, - int lineType=8, int shift=0); - -//! draws the rectangle outline or a solid rectangle covering rec in the image -CV_EXPORTS void rectangle(CV_IN_OUT Mat& img, Rect rec, - const Scalar& color, int thickness=1, - int lineType=8, int shift=0); - -//! draws the circle outline or a solid circle in the image -CV_EXPORTS_W void circle(CV_IN_OUT Mat& img, Point center, int radius, - const Scalar& color, int thickness=1, - int lineType=8, int shift=0); - -//! draws an elliptic arc, ellipse sector or a rotated ellipse in the image -CV_EXPORTS_W void ellipse(CV_IN_OUT Mat& img, Point center, Size axes, - double angle, double startAngle, double endAngle, - const Scalar& color, int thickness=1, - int lineType=8, int shift=0); - -//! draws a rotated ellipse in the image -CV_EXPORTS_W void ellipse(CV_IN_OUT Mat& img, const RotatedRect& box, const Scalar& color, - int thickness=1, int lineType=8); - -/* ----------------------------------------------------------------------------------------- */ -/* ADDING A SET OF PREDEFINED MARKERS WHICH COULD BE USED TO HIGHLIGHT POSITIONS IN AN IMAGE */ -/* ----------------------------------------------------------------------------------------- */ - -//! Possible set of marker types used for the drawMarker function -enum MarkerTypes -{ - MARKER_CROSS = 0, // A crosshair marker shape - MARKER_TILTED_CROSS = 1, // A 45 degree tilted crosshair marker shape - MARKER_STAR = 2, // A star marker shape, combination of cross and tilted cross - MARKER_DIAMOND = 3, // A diamond marker shape - MARKER_SQUARE = 4, // A square marker shape - MARKER_TRIANGLE_UP = 5, // An upwards pointing triangle marker shape - MARKER_TRIANGLE_DOWN = 6 // A downwards pointing triangle marker shape -}; - -/** @brief Draws a marker on a predefined position in an image. - -The function drawMarker draws a marker on a given position in the image. For the moment several -marker types are supported (`MARKER_CROSS`, `MARKER_TILTED_CROSS`, `MARKER_STAR`, `MARKER_DIAMOND`, `MARKER_SQUARE`, -`MARKER_TRIANGLE_UP` and `MARKER_TRIANGLE_DOWN`). - -@param img Image. -@param position The point where the crosshair is positioned. -@param markerType The specific type of marker you want to use, see -@param color Line color. -@param thickness Line thickness. -@param line_type Type of the line, see cv::LineTypes -@param markerSize The length of the marker axis [default = 20 pixels] - */ -CV_EXPORTS_W void drawMarker(CV_IN_OUT Mat& img, Point position, const Scalar& color, - int markerType = MARKER_CROSS, int markerSize=20, int thickness=1, - int line_type=8); - -/* ----------------------------------------------------------------------------------------- */ -/* END OF MARKER SECTION */ -/* ----------------------------------------------------------------------------------------- */ - -//! draws a filled convex polygon in the image -CV_EXPORTS void fillConvexPoly(Mat& img, const Point* pts, int npts, - const Scalar& color, int lineType=8, - int shift=0); -CV_EXPORTS_W void fillConvexPoly(InputOutputArray img, InputArray points, - const Scalar& color, int lineType=8, - int shift=0); - -//! fills an area bounded by one or more polygons -CV_EXPORTS void fillPoly(Mat& img, const Point** pts, - const int* npts, int ncontours, - const Scalar& color, int lineType=8, int shift=0, - Point offset=Point() ); - -CV_EXPORTS_W void fillPoly(InputOutputArray img, InputArrayOfArrays pts, - const Scalar& color, int lineType=8, int shift=0, - Point offset=Point() ); - -//! draws one or more polygonal curves -CV_EXPORTS void polylines(Mat& img, const Point** pts, const int* npts, - int ncontours, bool isClosed, const Scalar& color, - int thickness=1, int lineType=8, int shift=0 ); - -CV_EXPORTS_W void polylines(InputOutputArray img, InputArrayOfArrays pts, - bool isClosed, const Scalar& color, - int thickness=1, int lineType=8, int shift=0 ); - -//! clips the line segment by the rectangle Rect(0, 0, imgSize.width, imgSize.height) -CV_EXPORTS bool clipLine(Size imgSize, CV_IN_OUT Point& pt1, CV_IN_OUT Point& pt2); -CV_EXPORTS bool clipLine(Size2l imgSize, CV_IN_OUT Point2l& pt1, CV_IN_OUT Point2l& pt2); - -//! clips the line segment by the rectangle imgRect -CV_EXPORTS_W bool clipLine(Rect imgRect, CV_OUT CV_IN_OUT Point& pt1, CV_OUT CV_IN_OUT Point& pt2); - -/*! - Line iterator class - - The class is used to iterate over all the pixels on the raster line - segment connecting two specified points. -*/ -class CV_EXPORTS LineIterator -{ -public: - //! intializes the iterator - LineIterator( const Mat& img, Point pt1, Point pt2, - int connectivity=8, bool leftToRight=false ); - //! returns pointer to the current pixel - uchar* operator *(); - //! prefix increment operator (++it). shifts iterator to the next pixel - LineIterator& operator ++(); - //! postfix increment operator (it++). shifts iterator to the next pixel - LineIterator operator ++(int); - //! returns coordinates of the current pixel - Point pos() const; - - uchar* ptr; - const uchar* ptr0; - int step, elemSize; - int err, count; - int minusDelta, plusDelta; - int minusStep, plusStep; -}; - -//! converts elliptic arc to a polygonal curve -CV_EXPORTS_W void ellipse2Poly( Point center, Size axes, int angle, - int arcStart, int arcEnd, int delta, - CV_OUT vector& pts ); -CV_EXPORTS void ellipse2Poly( Point2d center, Size2d axes, int angle, - int arcStart, int arcEnd, int delta, - CV_OUT vector& pts ); - -enum -{ - FONT_HERSHEY_SIMPLEX = 0, - FONT_HERSHEY_PLAIN = 1, - FONT_HERSHEY_DUPLEX = 2, - FONT_HERSHEY_COMPLEX = 3, - FONT_HERSHEY_TRIPLEX = 4, - FONT_HERSHEY_COMPLEX_SMALL = 5, - FONT_HERSHEY_SCRIPT_SIMPLEX = 6, - FONT_HERSHEY_SCRIPT_COMPLEX = 7, - FONT_ITALIC = 16 -}; - -//! renders text string in the image -CV_EXPORTS_W void putText( Mat& img, const string& text, Point org, - int fontFace, double fontScale, Scalar color, - int thickness=1, int lineType=8, - bool bottomLeftOrigin=false ); - -//! returns bounding box of the text string -CV_EXPORTS_W Size getTextSize(const string& text, int fontFace, - double fontScale, int thickness, - CV_OUT int* baseLine); - -///////////////////////////////// Mat_<_Tp> //////////////////////////////////// - -/*! - Template matrix class derived from Mat - - The class Mat_ is a "thin" template wrapper on top of cv::Mat. It does not have any extra data fields, - nor it or cv::Mat have any virtual methods and thus references or pointers to these two classes - can be safely converted one to another. But do it with care, for example: - - \code - // create 100x100 8-bit matrix - Mat M(100,100,CV_8U); - // this will compile fine. no any data conversion will be done. - Mat_& M1 = (Mat_&)M; - // the program will likely crash at the statement below - M1(99,99) = 1.f; - \endcode - - While cv::Mat is sufficient in most cases, cv::Mat_ can be more convenient if you use a lot of element - access operations and if you know matrix type at compile time. - Note that cv::Mat::at\<_Tp\>(int y, int x) and cv::Mat_\<_Tp\>::operator ()(int y, int x) do absolutely the - same thing and run at the same speed, but the latter is certainly shorter: - - \code - Mat_ M(20,20); - for(int i = 0; i < M.rows; i++) - for(int j = 0; j < M.cols; j++) - M(i,j) = 1./(i+j+1); - Mat E, V; - eigen(M,E,V); - cout << E.at(0,0)/E.at(M.rows-1,0); - \endcode - - It is easy to use Mat_ for multi-channel images/matrices - just pass cv::Vec as cv::Mat_ template parameter: - - \code - // allocate 320x240 color image and fill it with green (in RGB space) - Mat_ img(240, 320, Vec3b(0,255,0)); - // now draw a diagonal white line - for(int i = 0; i < 100; i++) - img(i,i)=Vec3b(255,255,255); - // and now modify the 2nd (red) channel of each pixel - for(int i = 0; i < img.rows; i++) - for(int j = 0; j < img.cols; j++) - img(i,j)[2] ^= (uchar)(i ^ j); // img(y,x)[c] accesses c-th channel of the pixel (x,y) - \endcode -*/ -template class Mat_ : public Mat -{ -public: - typedef _Tp value_type; - typedef typename DataType<_Tp>::channel_type channel_type; - typedef MatIterator_<_Tp> iterator; - typedef MatConstIterator_<_Tp> const_iterator; - - //! default constructor - Mat_(); - //! equivalent to Mat(_rows, _cols, DataType<_Tp>::type) - Mat_(int _rows, int _cols); - //! constructor that sets each matrix element to specified value - Mat_(int _rows, int _cols, const _Tp& value); - //! equivalent to Mat(_size, DataType<_Tp>::type) - explicit Mat_(Size _size); - //! constructor that sets each matrix element to specified value - Mat_(Size _size, const _Tp& value); - //! n-dim array constructor - Mat_(int _ndims, const int* _sizes); - //! n-dim array constructor that sets each matrix element to specified value - Mat_(int _ndims, const int* _sizes, const _Tp& value); - //! copy/conversion contructor. If m is of different type, it's converted - Mat_(const Mat& m); - //! copy constructor - Mat_(const Mat_& m); - //! constructs a matrix on top of user-allocated data. step is in bytes(!!!), regardless of the type - Mat_(int _rows, int _cols, _Tp* _data, size_t _step=AUTO_STEP); - //! constructs n-dim matrix on top of user-allocated data. steps are in bytes(!!!), regardless of the type - Mat_(int _ndims, const int* _sizes, _Tp* _data, const size_t* _steps=0); - //! selects a submatrix - Mat_(const Mat_& m, const Range& rowRange, const Range& colRange=Range::all()); - //! selects a submatrix - Mat_(const Mat_& m, const Rect& roi); - //! selects a submatrix, n-dim version - Mat_(const Mat_& m, const Range* ranges); - //! from a matrix expression - explicit Mat_(const MatExpr& e); - //! makes a matrix out of Vec, std::vector, Point_ or Point3_. The matrix will have a single column - explicit Mat_(const vector<_Tp>& vec, bool copyData=false); - template explicit Mat_(const Vec::channel_type, n>& vec, bool copyData=true); - template explicit Mat_(const Matx::channel_type, m, n>& mtx, bool copyData=true); - explicit Mat_(const Point_::channel_type>& pt, bool copyData=true); - explicit Mat_(const Point3_::channel_type>& pt, bool copyData=true); - explicit Mat_(const MatCommaInitializer_<_Tp>& commaInitializer); - - Mat_& operator = (const Mat& m); - Mat_& operator = (const Mat_& m); - //! set all the elements to s. - Mat_& operator = (const _Tp& s); - //! assign a matrix expression - Mat_& operator = (const MatExpr& e); - - //! iterators; they are smart enough to skip gaps in the end of rows - iterator begin(); - iterator end(); - const_iterator begin() const; - const_iterator end() const; - - //! equivalent to Mat::create(_rows, _cols, DataType<_Tp>::type) - void create(int _rows, int _cols); - //! equivalent to Mat::create(_size, DataType<_Tp>::type) - void create(Size _size); - //! equivalent to Mat::create(_ndims, _sizes, DatType<_Tp>::type) - void create(int _ndims, const int* _sizes); - //! cross-product - Mat_ cross(const Mat_& m) const; - //! data type conversion - template operator Mat_() const; - //! overridden forms of Mat::row() etc. - Mat_ row(int y) const; - Mat_ col(int x) const; - Mat_ diag(int d=0) const; - Mat_ clone() const; - - //! overridden forms of Mat::elemSize() etc. - size_t elemSize() const; - size_t elemSize1() const; - int type() const; - int depth() const; - int channels() const; - size_t step1(int i=0) const; - //! returns step()/sizeof(_Tp) - size_t stepT(int i=0) const; - - //! overridden forms of Mat::zeros() etc. Data type is omitted, of course - static MatExpr zeros(int rows, int cols); - static MatExpr zeros(Size size); - static MatExpr zeros(int _ndims, const int* _sizes); - static MatExpr ones(int rows, int cols); - static MatExpr ones(Size size); - static MatExpr ones(int _ndims, const int* _sizes); - static MatExpr eye(int rows, int cols); - static MatExpr eye(Size size); - - //! some more overriden methods - Mat_& adjustROI( int dtop, int dbottom, int dleft, int dright ); - Mat_ operator()( const Range& rowRange, const Range& colRange ) const; - Mat_ operator()( const Rect& roi ) const; - Mat_ operator()( const Range* ranges ) const; - - //! more convenient forms of row and element access operators - _Tp* operator [](int y); - const _Tp* operator [](int y) const; - - //! returns reference to the specified element - _Tp& operator ()(const int* idx); - //! returns read-only reference to the specified element - const _Tp& operator ()(const int* idx) const; - - //! returns reference to the specified element - template _Tp& operator ()(const Vec& idx); - //! returns read-only reference to the specified element - template const _Tp& operator ()(const Vec& idx) const; - - //! returns reference to the specified element (1D case) - _Tp& operator ()(int idx0); - //! returns read-only reference to the specified element (1D case) - const _Tp& operator ()(int idx0) const; - //! returns reference to the specified element (2D case) - _Tp& operator ()(int idx0, int idx1); - //! returns read-only reference to the specified element (2D case) - const _Tp& operator ()(int idx0, int idx1) const; - //! returns reference to the specified element (3D case) - _Tp& operator ()(int idx0, int idx1, int idx2); - //! returns read-only reference to the specified element (3D case) - const _Tp& operator ()(int idx0, int idx1, int idx2) const; - - _Tp& operator ()(Point pt); - const _Tp& operator ()(Point pt) const; - - //! conversion to vector. - operator vector<_Tp>() const; - //! conversion to Vec - template operator Vec::channel_type, n>() const; - //! conversion to Matx - template operator Matx::channel_type, m, n>() const; -}; - -typedef Mat_ Mat1b; -typedef Mat_ Mat2b; -typedef Mat_ Mat3b; -typedef Mat_ Mat4b; - -typedef Mat_ Mat1s; -typedef Mat_ Mat2s; -typedef Mat_ Mat3s; -typedef Mat_ Mat4s; - -typedef Mat_ Mat1w; -typedef Mat_ Mat2w; -typedef Mat_ Mat3w; -typedef Mat_ Mat4w; - -typedef Mat_ Mat1i; -typedef Mat_ Mat2i; -typedef Mat_ Mat3i; -typedef Mat_ Mat4i; - -typedef Mat_ Mat1f; -typedef Mat_ Mat2f; -typedef Mat_ Mat3f; -typedef Mat_ Mat4f; - -typedef Mat_ Mat1d; -typedef Mat_ Mat2d; -typedef Mat_ Mat3d; -typedef Mat_ Mat4d; - -//////////// Iterators & Comma initializers ////////////////// - -class CV_EXPORTS MatConstIterator -{ -public: - typedef uchar* value_type; - typedef ptrdiff_t difference_type; - typedef const uchar** pointer; - typedef uchar* reference; - typedef std::random_access_iterator_tag iterator_category; - - //! default constructor - MatConstIterator(); - //! constructor that sets the iterator to the beginning of the matrix - MatConstIterator(const Mat* _m); - //! constructor that sets the iterator to the specified element of the matrix - MatConstIterator(const Mat* _m, int _row, int _col=0); - //! constructor that sets the iterator to the specified element of the matrix - MatConstIterator(const Mat* _m, Point _pt); - //! constructor that sets the iterator to the specified element of the matrix - MatConstIterator(const Mat* _m, const int* _idx); - //! copy constructor - MatConstIterator(const MatConstIterator& it); - - //! copy operator - MatConstIterator& operator = (const MatConstIterator& it); - //! returns the current matrix element - uchar* operator *() const; - //! returns the i-th matrix element, relative to the current - uchar* operator [](ptrdiff_t i) const; - - //! shifts the iterator forward by the specified number of elements - MatConstIterator& operator += (ptrdiff_t ofs); - //! shifts the iterator backward by the specified number of elements - MatConstIterator& operator -= (ptrdiff_t ofs); - //! decrements the iterator - MatConstIterator& operator --(); - //! decrements the iterator - MatConstIterator operator --(int); - //! increments the iterator - MatConstIterator& operator ++(); - //! increments the iterator - MatConstIterator operator ++(int); - //! returns the current iterator position - Point pos() const; - //! returns the current iterator position - void pos(int* _idx) const; - ptrdiff_t lpos() const; - void seek(ptrdiff_t ofs, bool relative=false); - void seek(const int* _idx, bool relative=false); - - const Mat* m; - size_t elemSize; - uchar* ptr; - uchar* sliceStart; - uchar* sliceEnd; -}; - -/*! - Matrix read-only iterator - - */ -template -class MatConstIterator_ : public MatConstIterator -{ -public: - typedef _Tp value_type; - typedef ptrdiff_t difference_type; - typedef const _Tp* pointer; - typedef const _Tp& reference; - typedef std::random_access_iterator_tag iterator_category; - - //! default constructor - MatConstIterator_(); - //! constructor that sets the iterator to the beginning of the matrix - MatConstIterator_(const Mat_<_Tp>* _m); - //! constructor that sets the iterator to the specified element of the matrix - MatConstIterator_(const Mat_<_Tp>* _m, int _row, int _col=0); - //! constructor that sets the iterator to the specified element of the matrix - MatConstIterator_(const Mat_<_Tp>* _m, Point _pt); - //! constructor that sets the iterator to the specified element of the matrix - MatConstIterator_(const Mat_<_Tp>* _m, const int* _idx); - //! copy constructor - MatConstIterator_(const MatConstIterator_& it); - - //! copy operator - MatConstIterator_& operator = (const MatConstIterator_& it); - //! returns the current matrix element - _Tp operator *() const; - //! returns the i-th matrix element, relative to the current - _Tp operator [](ptrdiff_t i) const; - - //! shifts the iterator forward by the specified number of elements - MatConstIterator_& operator += (ptrdiff_t ofs); - //! shifts the iterator backward by the specified number of elements - MatConstIterator_& operator -= (ptrdiff_t ofs); - //! decrements the iterator - MatConstIterator_& operator --(); - //! decrements the iterator - MatConstIterator_ operator --(int); - //! increments the iterator - MatConstIterator_& operator ++(); - //! increments the iterator - MatConstIterator_ operator ++(int); - //! returns the current iterator position - Point pos() const; -}; - - -/*! - Matrix read-write iterator - -*/ -template -class MatIterator_ : public MatConstIterator_<_Tp> -{ -public: - typedef _Tp* pointer; - typedef _Tp& reference; - typedef std::random_access_iterator_tag iterator_category; - - //! the default constructor - MatIterator_(); - //! constructor that sets the iterator to the beginning of the matrix - MatIterator_(Mat_<_Tp>* _m); - //! constructor that sets the iterator to the specified element of the matrix - MatIterator_(Mat_<_Tp>* _m, int _row, int _col=0); - //! constructor that sets the iterator to the specified element of the matrix - MatIterator_(const Mat_<_Tp>* _m, Point _pt); - //! constructor that sets the iterator to the specified element of the matrix - MatIterator_(const Mat_<_Tp>* _m, const int* _idx); - //! copy constructor - MatIterator_(const MatIterator_& it); - //! copy operator - MatIterator_& operator = (const MatIterator_<_Tp>& it ); - - //! returns the current matrix element - _Tp& operator *() const; - //! returns the i-th matrix element, relative to the current - _Tp& operator [](ptrdiff_t i) const; - - //! shifts the iterator forward by the specified number of elements - MatIterator_& operator += (ptrdiff_t ofs); - //! shifts the iterator backward by the specified number of elements - MatIterator_& operator -= (ptrdiff_t ofs); - //! decrements the iterator - MatIterator_& operator --(); - //! decrements the iterator - MatIterator_ operator --(int); - //! increments the iterator - MatIterator_& operator ++(); - //! increments the iterator - MatIterator_ operator ++(int); -}; - -template class MatOp_Iter_; - -/*! - Comma-separated Matrix Initializer - - The class instances are usually not created explicitly. - Instead, they are created on "matrix << firstValue" operator. - - The sample below initializes 2x2 rotation matrix: - - \code - double angle = 30, a = cos(angle*CV_PI/180), b = sin(angle*CV_PI/180); - Mat R = (Mat_(2,2) << a, -b, b, a); - \endcode -*/ -template class MatCommaInitializer_ -{ -public: - //! the constructor, created by "matrix << firstValue" operator, where matrix is cv::Mat - MatCommaInitializer_(Mat_<_Tp>* _m); - //! the operator that takes the next value and put it to the matrix - template MatCommaInitializer_<_Tp>& operator , (T2 v); - //! another form of conversion operator - Mat_<_Tp> operator *() const; - operator Mat_<_Tp>() const; -protected: - MatIterator_<_Tp> it; -}; - - -template class MatxCommaInitializer -{ -public: - MatxCommaInitializer(Matx<_Tp, m, n>* _mtx); - template MatxCommaInitializer<_Tp, m, n>& operator , (T2 val); - Matx<_Tp, m, n> operator *() const; - - Matx<_Tp, m, n>* dst; - int idx; -}; - -template class VecCommaInitializer : public MatxCommaInitializer<_Tp, m, 1> -{ -public: - VecCommaInitializer(Vec<_Tp, m>* _vec); - template VecCommaInitializer<_Tp, m>& operator , (T2 val); - Vec<_Tp, m> operator *() const; -}; - -/*! - Automatically Allocated Buffer Class - - The class is used for temporary buffers in functions and methods. - If a temporary buffer is usually small (a few K's of memory), - but its size depends on the parameters, it makes sense to create a small - fixed-size array on stack and use it if it's large enough. If the required buffer size - is larger than the fixed size, another buffer of sufficient size is allocated dynamically - and released after the processing. Therefore, in typical cases, when the buffer size is small, - there is no overhead associated with malloc()/free(). - At the same time, there is no limit on the size of processed data. - - This is what AutoBuffer does. The template takes 2 parameters - type of the buffer elements and - the number of stack-allocated elements. Here is how the class is used: - - \code - void my_func(const cv::Mat& m) - { - cv::AutoBuffer buf; // create automatic buffer containing 1000 floats - - buf.allocate(m.rows); // if m.rows <= 1000, the pre-allocated buffer is used, - // otherwise the buffer of "m.rows" floats will be allocated - // dynamically and deallocated in cv::AutoBuffer destructor - ... - } - \endcode -*/ -template class AutoBuffer -{ -public: - typedef _Tp value_type; - enum { buffer_padding = (int)((16 + sizeof(_Tp) - 1)/sizeof(_Tp)) }; - - //! the default contructor - AutoBuffer(); - //! constructor taking the real buffer size - AutoBuffer(size_t _size); - //! destructor. calls deallocate() - ~AutoBuffer(); - - //! allocates the new buffer of size _size. if the _size is small enough, stack-allocated buffer is used - void allocate(size_t _size); - //! deallocates the buffer if it was dynamically allocated - void deallocate(); - //! returns pointer to the real buffer, stack-allocated or head-allocated - operator _Tp* (); - //! returns read-only pointer to the real buffer, stack-allocated or head-allocated - operator const _Tp* () const; - - //! returns number of allocated elements - size_t getSize() const; - -protected: - //! pointer to the real buffer, can point to buf if the buffer is small enough - _Tp* ptr; - //! size of the real buffer - size_t size; - //! pre-allocated buffer - _Tp buf[fixed_size+buffer_padding]; -}; - -/////////////////////////// multi-dimensional dense matrix ////////////////////////// - -/*! - n-Dimensional Dense Matrix Iterator Class. - - The class cv::NAryMatIterator is used for iterating over one or more n-dimensional dense arrays (cv::Mat's). - - The iterator is completely different from cv::Mat_ and cv::SparseMat_ iterators. - It iterates through the slices (or planes), not the elements, where "slice" is a continuous part of the arrays. - - Here is the example on how the iterator can be used to normalize 3D histogram: - - \code - void normalizeColorHist(Mat& hist) - { - #if 1 - // intialize iterator (the style is different from STL). - // after initialization the iterator will contain - // the number of slices or planes - // the iterator will go through - Mat* arrays[] = { &hist, 0 }; - Mat planes[1]; - NAryMatIterator it(arrays, planes); - double s = 0; - // iterate through the matrix. on each iteration - // it.planes[i] (of type Mat) will be set to the current plane of - // i-th n-dim matrix passed to the iterator constructor. - for(int p = 0; p < it.nplanes; p++, ++it) - s += sum(it.planes[0])[0]; - it = NAryMatIterator(hist); - s = 1./s; - for(int p = 0; p < it.nplanes; p++, ++it) - it.planes[0] *= s; - #elif 1 - // this is a shorter implementation of the above - // using built-in operations on Mat - double s = sum(hist)[0]; - hist.convertTo(hist, hist.type(), 1./s, 0); - #else - // and this is even shorter one - // (assuming that the histogram elements are non-negative) - normalize(hist, hist, 1, 0, NORM_L1); - #endif - } - \endcode - - You can iterate through several matrices simultaneously as long as they have the same geometry - (dimensionality and all the dimension sizes are the same), which is useful for binary - and n-ary operations on such matrices. Just pass those matrices to cv::MatNDIterator. - Then, during the iteration it.planes[0], it.planes[1], ... will - be the slices of the corresponding matrices -*/ -class CV_EXPORTS NAryMatIterator -{ -public: - //! the default constructor - NAryMatIterator(); - //! the full constructor taking arbitrary number of n-dim matrices - NAryMatIterator(const Mat** arrays, uchar** ptrs, int narrays=-1); - //! the full constructor taking arbitrary number of n-dim matrices - NAryMatIterator(const Mat** arrays, Mat* planes, int narrays=-1); - //! the separate iterator initialization method - void init(const Mat** arrays, Mat* planes, uchar** ptrs, int narrays=-1); - - //! proceeds to the next plane of every iterated matrix - NAryMatIterator& operator ++(); - //! proceeds to the next plane of every iterated matrix (postfix increment operator) - NAryMatIterator operator ++(int); - - //! the iterated arrays - const Mat** arrays; - //! the current planes - Mat* planes; - //! data pointers - uchar** ptrs; - //! the number of arrays - int narrays; - //! the number of hyper-planes that the iterator steps through - size_t nplanes; - //! the size of each segment (in elements) - size_t size; -protected: - int iterdepth; - size_t idx; -}; - -//typedef NAryMatIterator NAryMatNDIterator; - -typedef void (*ConvertData)(const void* from, void* to, int cn); -typedef void (*ConvertScaleData)(const void* from, void* to, int cn, double alpha, double beta); - -//! returns the function for converting pixels from one data type to another -CV_EXPORTS ConvertData getConvertElem(int fromType, int toType); -//! returns the function for converting pixels from one data type to another with the optional scaling -CV_EXPORTS ConvertScaleData getConvertScaleElem(int fromType, int toType); - - -/////////////////////////// multi-dimensional sparse matrix ////////////////////////// - -class SparseMatIterator; -class SparseMatConstIterator; -template class SparseMatIterator_; -template class SparseMatConstIterator_; - -/*! - Sparse matrix class. - - The class represents multi-dimensional sparse numerical arrays. Such a sparse array can store elements - of any type that cv::Mat is able to store. "Sparse" means that only non-zero elements - are stored (though, as a result of some operations on a sparse matrix, some of its stored elements - can actually become 0. It's user responsibility to detect such elements and delete them using cv::SparseMat::erase(). - The non-zero elements are stored in a hash table that grows when it's filled enough, - so that the search time remains O(1) in average. Elements can be accessed using the following methods: - -
    -
  1. Query operations: cv::SparseMat::ptr() and the higher-level cv::SparseMat::ref(), - cv::SparseMat::value() and cv::SparseMat::find, for example: - \code - const int dims = 5; - int size[] = {10, 10, 10, 10, 10}; - SparseMat sparse_mat(dims, size, CV_32F); - for(int i = 0; i < 1000; i++) - { - int idx[dims]; - for(int k = 0; k < dims; k++) - idx[k] = rand()%sparse_mat.size(k); - sparse_mat.ref(idx) += 1.f; - } - \endcode - -
  2. Sparse matrix iterators. Like cv::Mat iterators and unlike cv::Mat iterators, the sparse matrix iterators are STL-style, - that is, the iteration is done as following: - \code - // prints elements of a sparse floating-point matrix and the sum of elements. - SparseMatConstIterator_ - it = sparse_mat.begin(), - it_end = sparse_mat.end(); - double s = 0; - int dims = sparse_mat.dims(); - for(; it != it_end; ++it) - { - // print element indices and the element value - const Node* n = it.node(); - printf("(") - for(int i = 0; i < dims; i++) - printf("%3d%c", n->idx[i], i < dims-1 ? ',' : ')'); - printf(": %f\n", *it); - s += *it; - } - printf("Element sum is %g\n", s); - \endcode - If you run this loop, you will notice that elements are enumerated - in no any logical order (lexicographical etc.), - they come in the same order as they stored in the hash table, i.e. semi-randomly. - - You may collect pointers to the nodes and sort them to get the proper ordering. - Note, however, that pointers to the nodes may become invalid when you add more - elements to the matrix; this is because of possible buffer reallocation. - -
  3. A combination of the above 2 methods when you need to process 2 or more sparse - matrices simultaneously, e.g. this is how you can compute unnormalized - cross-correlation of the 2 floating-point sparse matrices: - \code - double crossCorr(const SparseMat& a, const SparseMat& b) - { - const SparseMat *_a = &a, *_b = &b; - // if b contains less elements than a, - // it's faster to iterate through b - if(_a->nzcount() > _b->nzcount()) - std::swap(_a, _b); - SparseMatConstIterator_ it = _a->begin(), - it_end = _a->end(); - double ccorr = 0; - for(; it != it_end; ++it) - { - // take the next element from the first matrix - float avalue = *it; - const Node* anode = it.node(); - // and try to find element with the same index in the second matrix. - // since the hash value depends only on the element index, - // we reuse hashvalue stored in the node - float bvalue = _b->value(anode->idx,&anode->hashval); - ccorr += avalue*bvalue; - } - return ccorr; - } - \endcode -
-*/ -class CV_EXPORTS SparseMat -{ -public: - typedef SparseMatIterator iterator; - typedef SparseMatConstIterator const_iterator; - - //! the sparse matrix header - struct CV_EXPORTS Hdr - { - Hdr(int _dims, const int* _sizes, int _type); - void clear(); - int refcount; - int dims; - int valueOffset; - size_t nodeSize; - size_t nodeCount; - size_t freeList; - vector pool; - vector hashtab; - int size[CV_MAX_DIM]; - }; - - //! sparse matrix node - element of a hash table - struct CV_EXPORTS Node - { - //! hash value - size_t hashval; - //! index of the next node in the same hash table entry - size_t next; - //! index of the matrix element - int idx[CV_MAX_DIM]; - }; - - //! default constructor - SparseMat(); - //! creates matrix of the specified size and type - SparseMat(int dims, const int* _sizes, int _type); - //! copy constructor - SparseMat(const SparseMat& m); - //! converts dense 2d matrix to the sparse form - /*! - \param m the input matrix - */ - explicit SparseMat(const Mat& m); - //! converts old-style sparse matrix to the new-style. All the data is copied - SparseMat(const CvSparseMat* m); - //! the destructor - ~SparseMat(); - - //! assignment operator. This is O(1) operation, i.e. no data is copied - SparseMat& operator = (const SparseMat& m); - //! equivalent to the corresponding constructor - SparseMat& operator = (const Mat& m); - - //! creates full copy of the matrix - SparseMat clone() const; - - //! copies all the data to the destination matrix. All the previous content of m is erased - void copyTo( SparseMat& m ) const; - //! converts sparse matrix to dense matrix. - void copyTo( Mat& m ) const; - //! multiplies all the matrix elements by the specified scale factor alpha and converts the results to the specified data type - void convertTo( SparseMat& m, int rtype, double alpha=1 ) const; - //! converts sparse matrix to dense n-dim matrix with optional type conversion and scaling. - /*! - \param m Destination matrix - \param rtype The output matrix data type. When it is =-1, the output array will have the same data type as (*this) - \param alpha The scale factor - \param beta The optional delta added to the scaled values before the conversion - */ - void convertTo( Mat& m, int rtype, double alpha=1, double beta=0 ) const; - - // not used now - void assignTo( SparseMat& m, int type=-1 ) const; - - //! reallocates sparse matrix. - /*! - If the matrix already had the proper size and type, - it is simply cleared with clear(), otherwise, - the old matrix is released (using release()) and the new one is allocated. - */ - void create(int dims, const int* _sizes, int _type); - //! sets all the sparse matrix elements to 0, which means clearing the hash table. - void clear(); - //! manually increments the reference counter to the header. - void addref(); - // decrements the header reference counter. When the counter reaches 0, the header and all the underlying data are deallocated. - void release(); - - //! converts sparse matrix to the old-style representation; all the elements are copied. - operator CvSparseMat*() const; - //! returns the size of each element in bytes (not including the overhead - the space occupied by SparseMat::Node elements) - size_t elemSize() const; - //! returns elemSize()/channels() - size_t elemSize1() const; - - //! returns type of sparse matrix elements - int type() const; - //! returns the depth of sparse matrix elements - int depth() const; - //! returns the number of channels - int channels() const; - - //! returns the array of sizes, or NULL if the matrix is not allocated - const int* size() const; - //! returns the size of i-th matrix dimension (or 0) - int size(int i) const; - //! returns the matrix dimensionality - int dims() const; - //! returns the number of non-zero elements (=the number of hash table nodes) - size_t nzcount() const; - - //! computes the element hash value (1D case) - size_t hash(int i0) const; - //! computes the element hash value (2D case) - size_t hash(int i0, int i1) const; - //! computes the element hash value (3D case) - size_t hash(int i0, int i1, int i2) const; - //! computes the element hash value (nD case) - size_t hash(const int* idx) const; - - //@{ - /*! - specialized variants for 1D, 2D, 3D cases and the generic_type one for n-D case. - - return pointer to the matrix element. -
    -
  • if the element is there (it's non-zero), the pointer to it is returned -
  • if it's not there and createMissing=false, NULL pointer is returned -
  • if it's not there and createMissing=true, then the new element - is created and initialized with 0. Pointer to it is returned -
  • if the optional hashval pointer is not NULL, the element hash value is - not computed, but *hashval is taken instead. -
- */ - //! returns pointer to the specified element (1D case) - uchar* ptr(int i0, bool createMissing, size_t* hashval=0); - //! returns pointer to the specified element (2D case) - uchar* ptr(int i0, int i1, bool createMissing, size_t* hashval=0); - //! returns pointer to the specified element (3D case) - uchar* ptr(int i0, int i1, int i2, bool createMissing, size_t* hashval=0); - //! returns pointer to the specified element (nD case) - uchar* ptr(const int* idx, bool createMissing, size_t* hashval=0); - //@} - - //@{ - /*! - return read-write reference to the specified sparse matrix element. - - ref<_Tp>(i0,...[,hashval]) is equivalent to *(_Tp*)ptr(i0,...,true[,hashval]). - The methods always return a valid reference. - If the element did not exist, it is created and initialiazed with 0. - */ - //! returns reference to the specified element (1D case) - template _Tp& ref(int i0, size_t* hashval=0); - //! returns reference to the specified element (2D case) - template _Tp& ref(int i0, int i1, size_t* hashval=0); - //! returns reference to the specified element (3D case) - template _Tp& ref(int i0, int i1, int i2, size_t* hashval=0); - //! returns reference to the specified element (nD case) - template _Tp& ref(const int* idx, size_t* hashval=0); - //@} - - //@{ - /*! - return value of the specified sparse matrix element. - - value<_Tp>(i0,...[,hashval]) is equivalent - - \code - { const _Tp* p = find<_Tp>(i0,...[,hashval]); return p ? *p : _Tp(); } - \endcode - - That is, if the element did not exist, the methods return 0. - */ - //! returns value of the specified element (1D case) - template _Tp value(int i0, size_t* hashval=0) const; - //! returns value of the specified element (2D case) - template _Tp value(int i0, int i1, size_t* hashval=0) const; - //! returns value of the specified element (3D case) - template _Tp value(int i0, int i1, int i2, size_t* hashval=0) const; - //! returns value of the specified element (nD case) - template _Tp value(const int* idx, size_t* hashval=0) const; - //@} - - //@{ - /*! - Return pointer to the specified sparse matrix element if it exists - - find<_Tp>(i0,...[,hashval]) is equivalent to (_const Tp*)ptr(i0,...false[,hashval]). - - If the specified element does not exist, the methods return NULL. - */ - //! returns pointer to the specified element (1D case) - template const _Tp* find(int i0, size_t* hashval=0) const; - //! returns pointer to the specified element (2D case) - template const _Tp* find(int i0, int i1, size_t* hashval=0) const; - //! returns pointer to the specified element (3D case) - template const _Tp* find(int i0, int i1, int i2, size_t* hashval=0) const; - //! returns pointer to the specified element (nD case) - template const _Tp* find(const int* idx, size_t* hashval=0) const; - - //! erases the specified element (2D case) - void erase(int i0, int i1, size_t* hashval=0); - //! erases the specified element (3D case) - void erase(int i0, int i1, int i2, size_t* hashval=0); - //! erases the specified element (nD case) - void erase(const int* idx, size_t* hashval=0); - - //@{ - /*! - return the sparse matrix iterator pointing to the first sparse matrix element - */ - //! returns the sparse matrix iterator at the matrix beginning - SparseMatIterator begin(); - //! returns the sparse matrix iterator at the matrix beginning - template SparseMatIterator_<_Tp> begin(); - //! returns the read-only sparse matrix iterator at the matrix beginning - SparseMatConstIterator begin() const; - //! returns the read-only sparse matrix iterator at the matrix beginning - template SparseMatConstIterator_<_Tp> begin() const; - //@} - /*! - return the sparse matrix iterator pointing to the element following the last sparse matrix element - */ - //! returns the sparse matrix iterator at the matrix end - SparseMatIterator end(); - //! returns the read-only sparse matrix iterator at the matrix end - SparseMatConstIterator end() const; - //! returns the typed sparse matrix iterator at the matrix end - template SparseMatIterator_<_Tp> end(); - //! returns the typed read-only sparse matrix iterator at the matrix end - template SparseMatConstIterator_<_Tp> end() const; - - //! returns the value stored in the sparse martix node - template _Tp& value(Node* n); - //! returns the value stored in the sparse martix node - template const _Tp& value(const Node* n) const; - - ////////////// some internal-use methods /////////////// - Node* node(size_t nidx); - const Node* node(size_t nidx) const; - - uchar* newNode(const int* idx, size_t hashval); - void removeNode(size_t hidx, size_t nidx, size_t previdx); - void resizeHashTab(size_t newsize); - - enum { MAGIC_VAL=0x42FD0000, MAX_DIM=CV_MAX_DIM, HASH_SCALE=0x5bd1e995, HASH_BIT=0x80000000 }; - - int flags; - Hdr* hdr; -}; - -//! finds global minimum and maximum sparse array elements and returns their values and their locations -CV_EXPORTS void minMaxLoc(const SparseMat& a, double* minVal, - double* maxVal, int* minIdx=0, int* maxIdx=0); -//! computes norm of a sparse matrix -CV_EXPORTS double norm( const SparseMat& src, int normType ); -//! scales and shifts array elements so that either the specified norm (alpha) or the minimum (alpha) and maximum (beta) array values get the specified values -CV_EXPORTS void normalize( const SparseMat& src, SparseMat& dst, double alpha, int normType ); - -/*! - Read-Only Sparse Matrix Iterator. - Here is how to use the iterator to compute the sum of floating-point sparse matrix elements: - - \code - SparseMatConstIterator it = m.begin(), it_end = m.end(); - double s = 0; - CV_Assert( m.type() == CV_32F ); - for( ; it != it_end; ++it ) - s += it.value(); - \endcode -*/ -class CV_EXPORTS SparseMatConstIterator -{ -public: - //! the default constructor - SparseMatConstIterator(); - //! the full constructor setting the iterator to the first sparse matrix element - SparseMatConstIterator(const SparseMat* _m); - //! the copy constructor - SparseMatConstIterator(const SparseMatConstIterator& it); - - //! the assignment operator - SparseMatConstIterator& operator = (const SparseMatConstIterator& it); - - //! template method returning the current matrix element - template const _Tp& value() const; - //! returns the current node of the sparse matrix. it.node->idx is the current element index - const SparseMat::Node* node() const; - - //! moves iterator to the previous element - SparseMatConstIterator& operator --(); - //! moves iterator to the previous element - SparseMatConstIterator operator --(int); - //! moves iterator to the next element - SparseMatConstIterator& operator ++(); - //! moves iterator to the next element - SparseMatConstIterator operator ++(int); - - //! moves iterator to the element after the last element - void seekEnd(); - - const SparseMat* m; - size_t hashidx; - uchar* ptr; -}; - -/*! - Read-write Sparse Matrix Iterator - - The class is similar to cv::SparseMatConstIterator, - but can be used for in-place modification of the matrix elements. -*/ -class CV_EXPORTS SparseMatIterator : public SparseMatConstIterator -{ -public: - //! the default constructor - SparseMatIterator(); - //! the full constructor setting the iterator to the first sparse matrix element - SparseMatIterator(SparseMat* _m); - //! the full constructor setting the iterator to the specified sparse matrix element - SparseMatIterator(SparseMat* _m, const int* idx); - //! the copy constructor - SparseMatIterator(const SparseMatIterator& it); - - //! the assignment operator - SparseMatIterator& operator = (const SparseMatIterator& it); - //! returns read-write reference to the current sparse matrix element - template _Tp& value() const; - //! returns pointer to the current sparse matrix node. it.node->idx is the index of the current element (do not modify it!) - SparseMat::Node* node() const; - - //! moves iterator to the next element - SparseMatIterator& operator ++(); - //! moves iterator to the next element - SparseMatIterator operator ++(int); -}; - -/*! - The Template Sparse Matrix class derived from cv::SparseMat - - The class provides slightly more convenient operations for accessing elements. - - \code - SparseMat m; - ... - SparseMat_ m_ = (SparseMat_&)m; - m_.ref(1)++; // equivalent to m.ref(1)++; - m_.ref(2) += m_(3); // equivalent to m.ref(2) += m.value(3); - \endcode -*/ -template class SparseMat_ : public SparseMat -{ -public: - typedef SparseMatIterator_<_Tp> iterator; - typedef SparseMatConstIterator_<_Tp> const_iterator; - - //! the default constructor - SparseMat_(); - //! the full constructor equivelent to SparseMat(dims, _sizes, DataType<_Tp>::type) - SparseMat_(int dims, const int* _sizes); - //! the copy constructor. If DataType<_Tp>.type != m.type(), the m elements are converted - SparseMat_(const SparseMat& m); - //! the copy constructor. This is O(1) operation - no data is copied - SparseMat_(const SparseMat_& m); - //! converts dense matrix to the sparse form - SparseMat_(const Mat& m); - //! converts the old-style sparse matrix to the C++ class. All the elements are copied - SparseMat_(const CvSparseMat* m); - //! the assignment operator. If DataType<_Tp>.type != m.type(), the m elements are converted - SparseMat_& operator = (const SparseMat& m); - //! the assignment operator. This is O(1) operation - no data is copied - SparseMat_& operator = (const SparseMat_& m); - //! converts dense matrix to the sparse form - SparseMat_& operator = (const Mat& m); - - //! makes full copy of the matrix. All the elements are duplicated - SparseMat_ clone() const; - //! equivalent to cv::SparseMat::create(dims, _sizes, DataType<_Tp>::type) - void create(int dims, const int* _sizes); - //! converts sparse matrix to the old-style CvSparseMat. All the elements are copied - operator CvSparseMat*() const; - - //! returns type of the matrix elements - int type() const; - //! returns depth of the matrix elements - int depth() const; - //! returns the number of channels in each matrix element - int channels() const; - - //! equivalent to SparseMat::ref<_Tp>(i0, hashval) - _Tp& ref(int i0, size_t* hashval=0); - //! equivalent to SparseMat::ref<_Tp>(i0, i1, hashval) - _Tp& ref(int i0, int i1, size_t* hashval=0); - //! equivalent to SparseMat::ref<_Tp>(i0, i1, i2, hashval) - _Tp& ref(int i0, int i1, int i2, size_t* hashval=0); - //! equivalent to SparseMat::ref<_Tp>(idx, hashval) - _Tp& ref(const int* idx, size_t* hashval=0); - - //! equivalent to SparseMat::value<_Tp>(i0, hashval) - _Tp operator()(int i0, size_t* hashval=0) const; - //! equivalent to SparseMat::value<_Tp>(i0, i1, hashval) - _Tp operator()(int i0, int i1, size_t* hashval=0) const; - //! equivalent to SparseMat::value<_Tp>(i0, i1, i2, hashval) - _Tp operator()(int i0, int i1, int i2, size_t* hashval=0) const; - //! equivalent to SparseMat::value<_Tp>(idx, hashval) - _Tp operator()(const int* idx, size_t* hashval=0) const; - - //! returns sparse matrix iterator pointing to the first sparse matrix element - SparseMatIterator_<_Tp> begin(); - //! returns read-only sparse matrix iterator pointing to the first sparse matrix element - SparseMatConstIterator_<_Tp> begin() const; - //! returns sparse matrix iterator pointing to the element following the last sparse matrix element - SparseMatIterator_<_Tp> end(); - //! returns read-only sparse matrix iterator pointing to the element following the last sparse matrix element - SparseMatConstIterator_<_Tp> end() const; -}; - - -/*! - Template Read-Only Sparse Matrix Iterator Class. - - This is the derived from SparseMatConstIterator class that - introduces more convenient operator *() for accessing the current element. -*/ -template class SparseMatConstIterator_ : public SparseMatConstIterator -{ -public: - typedef std::forward_iterator_tag iterator_category; - - //! the default constructor - SparseMatConstIterator_(); - //! the full constructor setting the iterator to the first sparse matrix element - SparseMatConstIterator_(const SparseMat_<_Tp>* _m); - SparseMatConstIterator_(const SparseMat* _m); - //! the copy constructor - SparseMatConstIterator_(const SparseMatConstIterator_& it); - - //! the assignment operator - SparseMatConstIterator_& operator = (const SparseMatConstIterator_& it); - //! the element access operator - const _Tp& operator *() const; - - //! moves iterator to the next element - SparseMatConstIterator_& operator ++(); - //! moves iterator to the next element - SparseMatConstIterator_ operator ++(int); -}; - -/*! - Template Read-Write Sparse Matrix Iterator Class. - - This is the derived from cv::SparseMatConstIterator_ class that - introduces more convenient operator *() for accessing the current element. -*/ -template class SparseMatIterator_ : public SparseMatConstIterator_<_Tp> -{ -public: - typedef std::forward_iterator_tag iterator_category; - - //! the default constructor - SparseMatIterator_(); - //! the full constructor setting the iterator to the first sparse matrix element - SparseMatIterator_(SparseMat_<_Tp>* _m); - SparseMatIterator_(SparseMat* _m); - //! the copy constructor - SparseMatIterator_(const SparseMatIterator_& it); - - //! the assignment operator - SparseMatIterator_& operator = (const SparseMatIterator_& it); - //! returns the reference to the current element - _Tp& operator *() const; - - //! moves the iterator to the next element - SparseMatIterator_& operator ++(); - //! moves the iterator to the next element - SparseMatIterator_ operator ++(int); -}; - -//////////////////// Fast Nearest-Neighbor Search Structure //////////////////// - -/*! - Fast Nearest Neighbor Search Class. - - The class implements D. Lowe BBF (Best-Bin-First) algorithm for the last - approximate (or accurate) nearest neighbor search in multi-dimensional spaces. - - First, a set of vectors is passed to KDTree::KDTree() constructor - or KDTree::build() method, where it is reordered. - - Then arbitrary vectors can be passed to KDTree::findNearest() methods, which - find the K nearest neighbors among the vectors from the initial set. - The user can balance between the speed and accuracy of the search by varying Emax - parameter, which is the number of leaves that the algorithm checks. - The larger parameter values yield more accurate results at the expense of lower processing speed. - - \code - KDTree T(points, false); - const int K = 3, Emax = INT_MAX; - int idx[K]; - float dist[K]; - T.findNearest(query_vec, K, Emax, idx, 0, dist); - CV_Assert(dist[0] <= dist[1] && dist[1] <= dist[2]); - \endcode -*/ -class CV_EXPORTS_W KDTree -{ -public: - /*! - The node of the search tree. - */ - struct Node - { - Node() : idx(-1), left(-1), right(-1), boundary(0.f) {} - Node(int _idx, int _left, int _right, float _boundary) - : idx(_idx), left(_left), right(_right), boundary(_boundary) {} - //! split dimension; >=0 for nodes (dim), < 0 for leaves (index of the point) - int idx; - //! node indices of the left and the right branches - int left, right; - //! go to the left if query_vec[node.idx]<=node.boundary, otherwise go to the right - float boundary; - }; - - //! the default constructor - CV_WRAP KDTree(); - //! the full constructor that builds the search tree - CV_WRAP KDTree(InputArray points, bool copyAndReorderPoints=false); - //! the full constructor that builds the search tree - CV_WRAP KDTree(InputArray points, InputArray _labels, - bool copyAndReorderPoints=false); - //! builds the search tree - CV_WRAP void build(InputArray points, bool copyAndReorderPoints=false); - //! builds the search tree - CV_WRAP void build(InputArray points, InputArray labels, - bool copyAndReorderPoints=false); - //! finds the K nearest neighbors of "vec" while looking at Emax (at most) leaves - CV_WRAP int findNearest(InputArray vec, int K, int Emax, - OutputArray neighborsIdx, - OutputArray neighbors=noArray(), - OutputArray dist=noArray(), - OutputArray labels=noArray()) const; - //! finds all the points from the initial set that belong to the specified box - CV_WRAP void findOrthoRange(InputArray minBounds, - InputArray maxBounds, - OutputArray neighborsIdx, - OutputArray neighbors=noArray(), - OutputArray labels=noArray()) const; - //! returns vectors with the specified indices - CV_WRAP void getPoints(InputArray idx, OutputArray pts, - OutputArray labels=noArray()) const; - //! return a vector with the specified index - const float* getPoint(int ptidx, int* label=0) const; - //! returns the search space dimensionality - CV_WRAP int dims() const; - - vector nodes; //!< all the tree nodes - CV_PROP Mat points; //!< all the points. It can be a reordered copy of the input vector set or the original vector set. - CV_PROP vector labels; //!< the parallel array of labels. - CV_PROP int maxDepth; //!< maximum depth of the search tree. Do not modify it - CV_PROP_RW int normType; //!< type of the distance (cv::NORM_L1 or cv::NORM_L2) used for search. Initially set to cv::NORM_L2, but you can modify it -}; - -//////////////////////////////////////// XML & YAML I/O //////////////////////////////////// - -class CV_EXPORTS FileNode; - -/*! - XML/YAML File Storage Class. - - The class describes an object associated with XML or YAML file. - It can be used to store data to such a file or read and decode the data. - - The storage is organized as a tree of nested sequences (or lists) and mappings. - Sequence is a heterogenious array, which elements are accessed by indices or sequentially using an iterator. - Mapping is analogue of std::map or C structure, which elements are accessed by names. - The most top level structure is a mapping. - Leaves of the file storage tree are integers, floating-point numbers and text strings. - - For example, the following code: - - \code - // open file storage for writing. Type of the file is determined from the extension - FileStorage fs("test.yml", FileStorage::WRITE); - fs << "test_int" << 5 << "test_real" << 3.1 << "test_string" << "ABCDEFGH"; - fs << "test_mat" << Mat::eye(3,3,CV_32F); - - fs << "test_list" << "[" << 0.0000000000001 << 2 << CV_PI << -3435345 << "2-502 2-029 3egegeg" << - "{:" << "month" << 12 << "day" << 31 << "year" << 1969 << "}" << "]"; - fs << "test_map" << "{" << "x" << 1 << "y" << 2 << "width" << 100 << "height" << 200 << "lbp" << "[:"; - - const uchar arr[] = {0, 1, 1, 0, 1, 1, 0, 1}; - fs.writeRaw("u", arr, (int)(sizeof(arr)/sizeof(arr[0]))); - - fs << "]" << "}"; - \endcode - - will produce the following file: - - \verbatim - %YAML:1.0 - test_int: 5 - test_real: 3.1000000000000001e+00 - test_string: ABCDEFGH - test_mat: !!opencv-matrix - rows: 3 - cols: 3 - dt: f - data: [ 1., 0., 0., 0., 1., 0., 0., 0., 1. ] - test_list: - - 1.0000000000000000e-13 - - 2 - - 3.1415926535897931e+00 - - -3435345 - - "2-502 2-029 3egegeg" - - { month:12, day:31, year:1969 } - test_map: - x: 1 - y: 2 - width: 100 - height: 200 - lbp: [ 0, 1, 1, 0, 1, 1, 0, 1 ] - \endverbatim - - and to read the file above, the following code can be used: - - \code - // open file storage for reading. - // Type of the file is determined from the content, not the extension - FileStorage fs("test.yml", FileStorage::READ); - int test_int = (int)fs["test_int"]; - double test_real = (double)fs["test_real"]; - string test_string = (string)fs["test_string"]; - - Mat M; - fs["test_mat"] >> M; - - FileNode tl = fs["test_list"]; - CV_Assert(tl.type() == FileNode::SEQ && tl.size() == 6); - double tl0 = (double)tl[0]; - int tl1 = (int)tl[1]; - double tl2 = (double)tl[2]; - int tl3 = (int)tl[3]; - string tl4 = (string)tl[4]; - CV_Assert(tl[5].type() == FileNode::MAP && tl[5].size() == 3); - - int month = (int)tl[5]["month"]; - int day = (int)tl[5]["day"]; - int year = (int)tl[5]["year"]; - - FileNode tm = fs["test_map"]; - - int x = (int)tm["x"]; - int y = (int)tm["y"]; - int width = (int)tm["width"]; - int height = (int)tm["height"]; - - int lbp_val = 0; - FileNodeIterator it = tm["lbp"].begin(); - - for(int k = 0; k < 8; k++, ++it) - lbp_val |= ((int)*it) << k; - \endcode -*/ -class CV_EXPORTS_W FileStorage -{ -public: - //! file storage mode - enum - { - READ=0, //! read mode - WRITE=1, //! write mode - APPEND=2, //! append mode - MEMORY=4, - FORMAT_MASK=(7<<3), - FORMAT_AUTO=0, - FORMAT_XML=(1<<3), - FORMAT_YAML=(2<<3) - }; - enum - { - UNDEFINED=0, - VALUE_EXPECTED=1, - NAME_EXPECTED=2, - INSIDE_MAP=4 - }; - //! the default constructor - CV_WRAP FileStorage(); - //! the full constructor that opens file storage for reading or writing - CV_WRAP FileStorage(const string& source, int flags, const string& encoding=string()); - //! the constructor that takes pointer to the C FileStorage structure - FileStorage(CvFileStorage* fs); - //! the destructor. calls release() - virtual ~FileStorage(); - - //! opens file storage for reading or writing. The previous storage is closed with release() - CV_WRAP virtual bool open(const string& filename, int flags, const string& encoding=string()); - //! returns true if the object is associated with currently opened file. - CV_WRAP virtual bool isOpened() const; - //! closes the file and releases all the memory buffers - CV_WRAP virtual void release(); - //! closes the file, releases all the memory buffers and returns the text string - CV_WRAP string releaseAndGetString(); - - //! returns the first element of the top-level mapping - CV_WRAP FileNode getFirstTopLevelNode() const; - //! returns the top-level mapping. YAML supports multiple streams - CV_WRAP FileNode root(int streamidx=0) const; - //! returns the specified element of the top-level mapping - FileNode operator[](const string& nodename) const; - //! returns the specified element of the top-level mapping - CV_WRAP FileNode operator[](const char* nodename) const; - - //! returns pointer to the underlying C FileStorage structure - CvFileStorage* operator *() { return fs; } - //! returns pointer to the underlying C FileStorage structure - const CvFileStorage* operator *() const { return fs; } - //! writes one or more numbers of the specified format to the currently written structure - void writeRaw( const string& fmt, const uchar* vec, size_t len ); - //! writes the registered C structure (CvMat, CvMatND, CvSeq). See cvWrite() - void writeObj( const string& name, const void* obj ); - - //! returns the normalized object name for the specified file name - static string getDefaultObjectName(const string& filename); - - Ptr fs; //!< the underlying C FileStorage structure - string elname; //!< the currently written element - vector structs; //!< the stack of written structures - int state; //!< the writer state -}; - -class CV_EXPORTS FileNodeIterator; - -/*! - File Storage Node class - - The node is used to store each and every element of the file storage opened for reading - - from the primitive objects, such as numbers and text strings, to the complex nodes: - sequences, mappings and the registered objects. - - Note that file nodes are only used for navigating file storages opened for reading. - When a file storage is opened for writing, no data is stored in memory after it is written. -*/ -class CV_EXPORTS_W_SIMPLE FileNode -{ -public: - //! type of the file storage node - enum - { - NONE=0, //!< empty node - INT=1, //!< an integer - REAL=2, //!< floating-point number - FLOAT=REAL, //!< synonym or REAL - STR=3, //!< text string in UTF-8 encoding - STRING=STR, //!< synonym for STR - REF=4, //!< integer of size size_t. Typically used for storing complex dynamic structures where some elements reference the others - SEQ=5, //!< sequence - MAP=6, //!< mapping - TYPE_MASK=7, - FLOW=8, //!< compact representation of a sequence or mapping. Used only by YAML writer - USER=16, //!< a registered object (e.g. a matrix) - EMPTY=32, //!< empty structure (sequence or mapping) - NAMED=64 //!< the node has a name (i.e. it is element of a mapping) - }; - //! the default constructor - CV_WRAP FileNode(); - //! the full constructor wrapping CvFileNode structure. - FileNode(const CvFileStorage* fs, const CvFileNode* node); - //! the copy constructor - FileNode(const FileNode& node); - //! returns element of a mapping node - FileNode operator[](const string& nodename) const; - //! returns element of a mapping node - CV_WRAP FileNode operator[](const char* nodename) const; - //! returns element of a sequence node - CV_WRAP FileNode operator[](int i) const; - //! returns type of the node - CV_WRAP int type() const; - - //! returns true if the node is empty - CV_WRAP bool empty() const; - //! returns true if the node is a "none" object - CV_WRAP bool isNone() const; - //! returns true if the node is a sequence - CV_WRAP bool isSeq() const; - //! returns true if the node is a mapping - CV_WRAP bool isMap() const; - //! returns true if the node is an integer - CV_WRAP bool isInt() const; - //! returns true if the node is a floating-point number - CV_WRAP bool isReal() const; - //! returns true if the node is a text string - CV_WRAP bool isString() const; - //! returns true if the node has a name - CV_WRAP bool isNamed() const; - //! returns the node name or an empty string if the node is nameless - CV_WRAP string name() const; - //! returns the number of elements in the node, if it is a sequence or mapping, or 1 otherwise. - CV_WRAP size_t size() const; - //! returns the node content as an integer. If the node stores floating-point number, it is rounded. - operator int() const; - //! returns the node content as float - operator float() const; - //! returns the node content as double - operator double() const; - //! returns the node content as text string - operator string() const; - - //! returns pointer to the underlying file node - CvFileNode* operator *(); - //! returns pointer to the underlying file node - const CvFileNode* operator* () const; - - //! returns iterator pointing to the first node element - FileNodeIterator begin() const; - //! returns iterator pointing to the element following the last node element - FileNodeIterator end() const; - - //! reads node elements to the buffer with the specified format - void readRaw( const string& fmt, uchar* vec, size_t len ) const; - //! reads the registered object and returns pointer to it - void* readObj() const; - - // do not use wrapper pointer classes for better efficiency - const CvFileStorage* fs; - const CvFileNode* node; -}; - - -/*! - File Node Iterator - - The class is used for iterating sequences (usually) and mappings. - */ -class CV_EXPORTS FileNodeIterator -{ -public: - //! the default constructor - FileNodeIterator(); - //! the full constructor set to the ofs-th element of the node - FileNodeIterator(const CvFileStorage* fs, const CvFileNode* node, size_t ofs=0); - //! the copy constructor - FileNodeIterator(const FileNodeIterator& it); - //! returns the currently observed element - FileNode operator *() const; - //! accesses the currently observed element methods - FileNode operator ->() const; - - //! moves iterator to the next node - FileNodeIterator& operator ++ (); - //! moves iterator to the next node - FileNodeIterator operator ++ (int); - //! moves iterator to the previous node - FileNodeIterator& operator -- (); - //! moves iterator to the previous node - FileNodeIterator operator -- (int); - //! moves iterator forward by the specified offset (possibly negative) - FileNodeIterator& operator += (int ofs); - //! moves iterator backward by the specified offset (possibly negative) - FileNodeIterator& operator -= (int ofs); - - //! reads the next maxCount elements (or less, if the sequence/mapping last element occurs earlier) to the buffer with the specified format - FileNodeIterator& readRaw( const string& fmt, uchar* vec, - size_t maxCount=(size_t)INT_MAX ); - - const CvFileStorage* fs; - const CvFileNode* container; - CvSeqReader reader; - size_t remaining; -}; - -////////////// convenient wrappers for operating old-style dynamic structures ////////////// - -template class SeqIterator; - -typedef Ptr MemStorage; - -/*! - Template Sequence Class derived from CvSeq - - The class provides more convenient access to sequence elements, - STL-style operations and iterators. - - \note The class is targeted for simple data types, - i.e. no constructors or destructors - are called for the sequence elements. -*/ -template class Seq -{ -public: - typedef SeqIterator<_Tp> iterator; - typedef SeqIterator<_Tp> const_iterator; - - //! the default constructor - Seq(); - //! the constructor for wrapping CvSeq structure. The real element type in CvSeq should match _Tp. - Seq(const CvSeq* seq); - //! creates the empty sequence that resides in the specified storage - Seq(MemStorage& storage, int headerSize = sizeof(CvSeq)); - //! returns read-write reference to the specified element - _Tp& operator [](int idx); - //! returns read-only reference to the specified element - const _Tp& operator[](int idx) const; - //! returns iterator pointing to the beginning of the sequence - SeqIterator<_Tp> begin() const; - //! returns iterator pointing to the element following the last sequence element - SeqIterator<_Tp> end() const; - //! returns the number of elements in the sequence - size_t size() const; - //! returns the type of sequence elements (CV_8UC1 ... CV_64FC(CV_CN_MAX) ...) - int type() const; - //! returns the depth of sequence elements (CV_8U ... CV_64F) - int depth() const; - //! returns the number of channels in each sequence element - int channels() const; - //! returns the size of each sequence element - size_t elemSize() const; - //! returns index of the specified sequence element - size_t index(const _Tp& elem) const; - //! appends the specified element to the end of the sequence - void push_back(const _Tp& elem); - //! appends the specified element to the front of the sequence - void push_front(const _Tp& elem); - //! appends zero or more elements to the end of the sequence - void push_back(const _Tp* elems, size_t count); - //! appends zero or more elements to the front of the sequence - void push_front(const _Tp* elems, size_t count); - //! inserts the specified element to the specified position - void insert(int idx, const _Tp& elem); - //! inserts zero or more elements to the specified position - void insert(int idx, const _Tp* elems, size_t count); - //! removes element at the specified position - void remove(int idx); - //! removes the specified subsequence - void remove(const Range& r); - - //! returns reference to the first sequence element - _Tp& front(); - //! returns read-only reference to the first sequence element - const _Tp& front() const; - //! returns reference to the last sequence element - _Tp& back(); - //! returns read-only reference to the last sequence element - const _Tp& back() const; - //! returns true iff the sequence contains no elements - bool empty() const; - - //! removes all the elements from the sequence - void clear(); - //! removes the first element from the sequence - void pop_front(); - //! removes the last element from the sequence - void pop_back(); - //! removes zero or more elements from the beginning of the sequence - void pop_front(_Tp* elems, size_t count); - //! removes zero or more elements from the end of the sequence - void pop_back(_Tp* elems, size_t count); - - //! copies the whole sequence or the sequence slice to the specified vector - void copyTo(vector<_Tp>& vec, const Range& range=Range::all()) const; - //! returns the vector containing all the sequence elements - operator vector<_Tp>() const; - - CvSeq* seq; -}; - - -/*! - STL-style Sequence Iterator inherited from the CvSeqReader structure -*/ -template class SeqIterator : public CvSeqReader -{ -public: - //! the default constructor - SeqIterator(); - //! the constructor setting the iterator to the beginning or to the end of the sequence - SeqIterator(const Seq<_Tp>& seq, bool seekEnd=false); - //! positions the iterator within the sequence - void seek(size_t pos); - //! reports the current iterator position - size_t tell() const; - //! returns reference to the current sequence element - _Tp& operator *(); - //! returns read-only reference to the current sequence element - const _Tp& operator *() const; - //! moves iterator to the next sequence element - SeqIterator& operator ++(); - //! moves iterator to the next sequence element - SeqIterator operator ++(int) const; - //! moves iterator to the previous sequence element - SeqIterator& operator --(); - //! moves iterator to the previous sequence element - SeqIterator operator --(int) const; - - //! moves iterator forward by the specified offset (possibly negative) - SeqIterator& operator +=(int); - //! moves iterator backward by the specified offset (possibly negative) - SeqIterator& operator -=(int); - - // this is index of the current element module seq->total*2 - // (to distinguish between 0 and seq->total) - int index; -}; - - -class CV_EXPORTS Algorithm; -class CV_EXPORTS AlgorithmInfo; -struct CV_EXPORTS AlgorithmInfoData; - -template struct ParamType {}; - -/*! - Base class for high-level OpenCV algorithms -*/ -class CV_EXPORTS_W Algorithm -{ -public: - Algorithm(); - virtual ~Algorithm(); - string name() const; - - template typename ParamType<_Tp>::member_type get(const string& name) const; - template typename ParamType<_Tp>::member_type get(const char* name) const; - - CV_WRAP int getInt(const string& name) const; - CV_WRAP double getDouble(const string& name) const; - CV_WRAP bool getBool(const string& name) const; - CV_WRAP string getString(const string& name) const; - CV_WRAP Mat getMat(const string& name) const; - CV_WRAP vector getMatVector(const string& name) const; - CV_WRAP Ptr getAlgorithm(const string& name) const; - - void set(const string& name, int value); - void set(const string& name, double value); - void set(const string& name, bool value); - void set(const string& name, const string& value); - void set(const string& name, const Mat& value); - void set(const string& name, const vector& value); - void set(const string& name, const Ptr& value); - template void set(const string& name, const Ptr<_Tp>& value); - - CV_WRAP void setInt(const string& name, int value); - CV_WRAP void setDouble(const string& name, double value); - CV_WRAP void setBool(const string& name, bool value); - CV_WRAP void setString(const string& name, const string& value); - CV_WRAP void setMat(const string& name, const Mat& value); - CV_WRAP void setMatVector(const string& name, const vector& value); - CV_WRAP void setAlgorithm(const string& name, const Ptr& value); - template void setAlgorithm(const string& name, const Ptr<_Tp>& value); - - void set(const char* name, int value); - void set(const char* name, double value); - void set(const char* name, bool value); - void set(const char* name, const string& value); - void set(const char* name, const Mat& value); - void set(const char* name, const vector& value); - void set(const char* name, const Ptr& value); - template void set(const char* name, const Ptr<_Tp>& value); - - void setInt(const char* name, int value); - void setDouble(const char* name, double value); - void setBool(const char* name, bool value); - void setString(const char* name, const string& value); - void setMat(const char* name, const Mat& value); - void setMatVector(const char* name, const vector& value); - void setAlgorithm(const char* name, const Ptr& value); - template void setAlgorithm(const char* name, const Ptr<_Tp>& value); - - CV_WRAP string paramHelp(const string& name) const; - int paramType(const char* name) const; - CV_WRAP int paramType(const string& name) const; - CV_WRAP void getParams(CV_OUT vector& names) const; - - - virtual void write(FileStorage& fs) const; - virtual void read(const FileNode& fn); - - typedef Algorithm* (*Constructor)(void); - typedef int (Algorithm::*Getter)() const; - typedef void (Algorithm::*Setter)(int); - - CV_WRAP static void getList(CV_OUT vector& algorithms); - CV_WRAP static Ptr _create(const string& name); - template static Ptr<_Tp> create(const string& name); - - virtual AlgorithmInfo* info() const /* TODO: make it = 0;*/ { return 0; } -}; - - -class CV_EXPORTS AlgorithmInfo -{ -public: - friend class Algorithm; - AlgorithmInfo(const string& name, Algorithm::Constructor create); - ~AlgorithmInfo(); - void get(const Algorithm* algo, const char* name, int argType, void* value) const; - void addParam_(Algorithm& algo, const char* name, int argType, - void* value, bool readOnly, - Algorithm::Getter getter, Algorithm::Setter setter, - const string& help=string()); - string paramHelp(const char* name) const; - int paramType(const char* name) const; - void getParams(vector& names) const; - - void write(const Algorithm* algo, FileStorage& fs) const; - void read(Algorithm* algo, const FileNode& fn) const; - string name() const; - - void addParam(Algorithm& algo, const char* name, - int& value, bool readOnly=false, - int (Algorithm::*getter)()=0, - void (Algorithm::*setter)(int)=0, - const string& help=string()); - void addParam(Algorithm& algo, const char* name, - short& value, bool readOnly=false, - int (Algorithm::*getter)()=0, - void (Algorithm::*setter)(int)=0, - const string& help=string()); - void addParam(Algorithm& algo, const char* name, - bool& value, bool readOnly=false, - int (Algorithm::*getter)()=0, - void (Algorithm::*setter)(int)=0, - const string& help=string()); - void addParam(Algorithm& algo, const char* name, - double& value, bool readOnly=false, - double (Algorithm::*getter)()=0, - void (Algorithm::*setter)(double)=0, - const string& help=string()); - void addParam(Algorithm& algo, const char* name, - string& value, bool readOnly=false, - string (Algorithm::*getter)()=0, - void (Algorithm::*setter)(const string&)=0, - const string& help=string()); - void addParam(Algorithm& algo, const char* name, - Mat& value, bool readOnly=false, - Mat (Algorithm::*getter)()=0, - void (Algorithm::*setter)(const Mat&)=0, - const string& help=string()); - void addParam(Algorithm& algo, const char* name, - vector& value, bool readOnly=false, - vector (Algorithm::*getter)()=0, - void (Algorithm::*setter)(const vector&)=0, - const string& help=string()); - void addParam(Algorithm& algo, const char* name, - Ptr& value, bool readOnly=false, - Ptr (Algorithm::*getter)()=0, - void (Algorithm::*setter)(const Ptr&)=0, - const string& help=string()); - void addParam(Algorithm& algo, const char* name, - float& value, bool readOnly=false, - float (Algorithm::*getter)()=0, - void (Algorithm::*setter)(float)=0, - const string& help=string()); - void addParam(Algorithm& algo, const char* name, - unsigned int& value, bool readOnly=false, - unsigned int (Algorithm::*getter)()=0, - void (Algorithm::*setter)(unsigned int)=0, - const string& help=string()); - void addParam(Algorithm& algo, const char* name, - uint64& value, bool readOnly=false, - uint64 (Algorithm::*getter)()=0, - void (Algorithm::*setter)(uint64)=0, - const string& help=string()); - void addParam(Algorithm& algo, const char* name, - uchar& value, bool readOnly=false, - uchar (Algorithm::*getter)()=0, - void (Algorithm::*setter)(uchar)=0, - const string& help=string()); - template void addParam(Algorithm& algo, const char* name, - Ptr<_Tp>& value, bool readOnly=false, - Ptr<_Tp> (Algorithm::*getter)()=0, - void (Algorithm::*setter)(const Ptr<_Tp>&)=0, - const string& help=string()); - template void addParam(Algorithm& algo, const char* name, - Ptr<_Tp>& value, bool readOnly=false, - Ptr<_Tp> (Algorithm::*getter)()=0, - void (Algorithm::*setter)(const Ptr<_Tp>&)=0, - const string& help=string()); -protected: - AlgorithmInfoData* data; - void set(Algorithm* algo, const char* name, int argType, - const void* value, bool force=false) const; -}; - - -struct CV_EXPORTS Param -{ - enum { INT=0, BOOLEAN=1, REAL=2, STRING=3, MAT=4, MAT_VECTOR=5, ALGORITHM=6, FLOAT=7, UNSIGNED_INT=8, UINT64=9, SHORT=10, UCHAR=11 }; - - Param(); - Param(int _type, bool _readonly, int _offset, - Algorithm::Getter _getter=0, - Algorithm::Setter _setter=0, - const string& _help=string()); - int type; - int offset; - bool readonly; - Algorithm::Getter getter; - Algorithm::Setter setter; - string help; -}; - -template<> struct ParamType -{ - typedef bool const_param_type; - typedef bool member_type; - - enum { type = Param::BOOLEAN }; -}; - -template<> struct ParamType -{ - typedef int const_param_type; - typedef int member_type; - - enum { type = Param::INT }; -}; - -template<> struct ParamType -{ - typedef int const_param_type; - typedef int member_type; - - enum { type = Param::SHORT }; -}; - -template<> struct ParamType -{ - typedef double const_param_type; - typedef double member_type; - - enum { type = Param::REAL }; -}; - -template<> struct ParamType -{ - typedef const string& const_param_type; - typedef string member_type; - - enum { type = Param::STRING }; -}; - -template<> struct ParamType -{ - typedef const Mat& const_param_type; - typedef Mat member_type; - - enum { type = Param::MAT }; -}; - -template<> struct ParamType > -{ - typedef const vector& const_param_type; - typedef vector member_type; - - enum { type = Param::MAT_VECTOR }; -}; - -template<> struct ParamType -{ - typedef const Ptr& const_param_type; - typedef Ptr member_type; - - enum { type = Param::ALGORITHM }; -}; - -template<> struct ParamType -{ - typedef float const_param_type; - typedef float member_type; - - enum { type = Param::FLOAT }; -}; - -template<> struct ParamType -{ - typedef unsigned const_param_type; - typedef unsigned member_type; - - enum { type = Param::UNSIGNED_INT }; -}; - -template<> struct ParamType -{ - typedef uint64 const_param_type; - typedef uint64 member_type; - - enum { type = Param::UINT64 }; -}; - -template<> struct ParamType -{ - typedef uchar const_param_type; - typedef uchar member_type; - - enum { type = Param::UCHAR }; -}; - -/*! -"\nThe CommandLineParser class is designed for command line arguments parsing\n" - "Keys map: \n" - "Before you start to work with CommandLineParser you have to create a map for keys.\n" - " It will look like this\n" - " const char* keys =\n" - " {\n" - " { s| string| 123asd |string parameter}\n" - " { d| digit | 100 |digit parameter }\n" - " { c|noCamera|false |without camera }\n" - " { 1| |some text|help }\n" - " { 2| |333 |another help }\n" - " };\n" - "Usage syntax: \n" - " \"{\" - start of parameter string.\n" - " \"}\" - end of parameter string\n" - " \"|\" - separator between short name, full name, default value and help\n" - "Supported syntax: \n" - " --key1=arg1 \n" - " -key2=arg2 \n" - "Usage: \n" - " Imagine that the input parameters are next:\n" - " -s=string_value --digit=250 --noCamera lena.jpg 10000\n" - " CommandLineParser parser(argc, argv, keys) - create a parser object\n" - " parser.get(\"s\" or \"string\") will return you first parameter value\n" - " parser.get(\"s\", false or \"string\", false) will return you first parameter value\n" - " without spaces in end and begin\n" - " parser.get(\"d\" or \"digit\") will return you second parameter value.\n" - " It also works with 'unsigned int', 'double', and 'float' types>\n" - " parser.get(\"c\" or \"noCamera\") will return you true .\n" - " If you enter this key in commandline>\n" - " It return you false otherwise.\n" - " parser.get(\"1\") will return you the first argument without parameter (lena.jpg) \n" - " parser.get(\"2\") will return you the second argument without parameter (10000)\n" - " It also works with 'unsigned int', 'double', and 'float' types \n" -*/ -class CV_EXPORTS CommandLineParser -{ - public: - - //! the default constructor - CommandLineParser(int argc, const char* const argv[], const char* key_map); - - //! get parameter, you can choose: delete spaces in end and begin or not - template - _Tp get(const std::string& name, bool space_delete=true) - { - if (!has(name)) - { - return _Tp(); - } - std::string str = getString(name); - return analyzeValue<_Tp>(str, space_delete); - } - - //! print short name, full name, current value and help for all params - void printParams(); - - protected: - std::map > data; - std::string getString(const std::string& name); - - bool has(const std::string& keys); - - template - _Tp analyzeValue(const std::string& str, bool space_delete=false); - - template - static _Tp getData(const std::string& str) - { - _Tp res = _Tp(); - std::stringstream s1(str); - s1 >> res; - return res; - } - - template - _Tp fromStringNumber(const std::string& str);//the default conversion function for numbers - - }; - -template<> CV_EXPORTS -bool CommandLineParser::get(const std::string& name, bool space_delete); - -template<> CV_EXPORTS -std::string CommandLineParser::analyzeValue(const std::string& str, bool space_delete); - -template<> CV_EXPORTS -int CommandLineParser::analyzeValue(const std::string& str, bool space_delete); - -template<> CV_EXPORTS -unsigned int CommandLineParser::analyzeValue(const std::string& str, bool space_delete); - -template<> CV_EXPORTS -uint64 CommandLineParser::analyzeValue(const std::string& str, bool space_delete); - -template<> CV_EXPORTS -float CommandLineParser::analyzeValue(const std::string& str, bool space_delete); - -template<> CV_EXPORTS -double CommandLineParser::analyzeValue(const std::string& str, bool space_delete); - - -/////////////////////////////// Parallel Primitives ////////////////////////////////// - -// a base body class -class CV_EXPORTS ParallelLoopBody -{ -public: - virtual ~ParallelLoopBody(); - virtual void operator() (const Range& range) const = 0; -}; - -CV_EXPORTS void parallel_for_(const Range& range, const ParallelLoopBody& body, double nstripes=-1.); - -/////////////////////////// Synchronization Primitives /////////////////////////////// - -class CV_EXPORTS Mutex -{ -public: - Mutex(); - ~Mutex(); - Mutex(const Mutex& m); - Mutex& operator = (const Mutex& m); - - void lock(); - bool trylock(); - void unlock(); - - struct Impl; -protected: - Impl* impl; -}; - -class CV_EXPORTS AutoLock -{ -public: - AutoLock(Mutex& m) : mutex(&m) { mutex->lock(); } - ~AutoLock() { mutex->unlock(); } -protected: - Mutex* mutex; -private: - AutoLock(const AutoLock&); - AutoLock& operator = (const AutoLock&); -}; - -class TLSDataContainer -{ -private: - int key_; -protected: - CV_EXPORTS TLSDataContainer(); - CV_EXPORTS ~TLSDataContainer(); // virtual is not required -public: - virtual void* createDataInstance() const = 0; - virtual void deleteDataInstance(void* data) const = 0; - - CV_EXPORTS void* getData() const; -}; - -template -class TLSData : protected TLSDataContainer -{ -public: - inline TLSData() {} - inline ~TLSData() {} - inline T* get() const { return (T*)getData(); } -private: - virtual void* createDataInstance() const { return new T; } - virtual void deleteDataInstance(void* data) const { delete (T*)data; } -}; - -} - -#endif // __cplusplus - -#include "opencv2/core/operations.hpp" -#include "opencv2/core/mat.hpp" - -#endif /*__OPENCV_CORE_HPP__*/ diff --git a/phonelibs/opencv/include/opencv2/core/core_c.h b/phonelibs/opencv/include/opencv2/core/core_c.h deleted file mode 100644 index b9f1090a76..0000000000 --- a/phonelibs/opencv/include/opencv2/core/core_c.h +++ /dev/null @@ -1,1886 +0,0 @@ -/*M/////////////////////////////////////////////////////////////////////////////////////// -// -// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING. -// -// By downloading, copying, installing or using the software you agree to this license. -// If you do not agree to this license, do not download, install, -// copy or use the software. -// -// -// License Agreement -// For Open Source Computer Vision Library -// -// Copyright (C) 2000-2008, Intel Corporation, all rights reserved. -// Copyright (C) 2009, Willow Garage Inc., all rights reserved. -// Third party copyrights are property of their respective owners. -// -// Redistribution and use in source and binary forms, with or without modification, -// are permitted provided that the following conditions are met: -// -// * Redistribution's of source code must retain the above copyright notice, -// this list of conditions and the following disclaimer. -// -// * Redistribution's in binary form must reproduce the above copyright notice, -// this list of conditions and the following disclaimer in the documentation -// and/or other materials provided with the distribution. -// -// * The name of the copyright holders may not be used to endorse or promote products -// derived from this software without specific prior written permission. -// -// This software is provided by the copyright holders and contributors "as is" and -// any express or implied warranties, including, but not limited to, the implied -// warranties of merchantability and fitness for a particular purpose are disclaimed. -// In no event shall the Intel Corporation or contributors be liable for any direct, -// indirect, incidental, special, exemplary, or consequential damages -// (including, but not limited to, procurement of substitute goods or services; -// loss of use, data, or profits; or business interruption) however caused -// and on any theory of liability, whether in contract, strict liability, -// or tort (including negligence or otherwise) arising in any way out of -// the use of this software, even if advised of the possibility of such damage. -// -//M*/ - - -#ifndef __OPENCV_CORE_C_H__ -#define __OPENCV_CORE_C_H__ - -#include "opencv2/core/types_c.h" - -#ifdef __cplusplus -extern "C" { -#endif - -/****************************************************************************************\ -* Array allocation, deallocation, initialization and access to elements * -\****************************************************************************************/ - -/* wrapper. - If there is no enough memory, the function - (as well as other OpenCV functions that call cvAlloc) - raises an error. */ -CVAPI(void*) cvAlloc( size_t size ); - -/* wrapper. - Here and further all the memory releasing functions - (that all call cvFree) take double pointer in order to - to clear pointer to the data after releasing it. - Passing pointer to NULL pointer is Ok: nothing happens in this case -*/ -CVAPI(void) cvFree_( void* ptr ); -#define cvFree(ptr) (cvFree_(*(ptr)), *(ptr)=0) - -/* Allocates and initializes IplImage header */ -CVAPI(IplImage*) cvCreateImageHeader( CvSize size, int depth, int channels ); - -/* Inializes IplImage header */ -CVAPI(IplImage*) cvInitImageHeader( IplImage* image, CvSize size, int depth, - int channels, int origin CV_DEFAULT(0), - int align CV_DEFAULT(4)); - -/* Creates IPL image (header and data) */ -CVAPI(IplImage*) cvCreateImage( CvSize size, int depth, int channels ); - -/* Releases (i.e. deallocates) IPL image header */ -CVAPI(void) cvReleaseImageHeader( IplImage** image ); - -/* Releases IPL image header and data */ -CVAPI(void) cvReleaseImage( IplImage** image ); - -/* Creates a copy of IPL image (widthStep may differ) */ -CVAPI(IplImage*) cvCloneImage( const IplImage* image ); - -/* Sets a Channel Of Interest (only a few functions support COI) - - use cvCopy to extract the selected channel and/or put it back */ -CVAPI(void) cvSetImageCOI( IplImage* image, int coi ); - -/* Retrieves image Channel Of Interest */ -CVAPI(int) cvGetImageCOI( const IplImage* image ); - -/* Sets image ROI (region of interest) (COI is not changed) */ -CVAPI(void) cvSetImageROI( IplImage* image, CvRect rect ); - -/* Resets image ROI and COI */ -CVAPI(void) cvResetImageROI( IplImage* image ); - -/* Retrieves image ROI */ -CVAPI(CvRect) cvGetImageROI( const IplImage* image ); - -/* Allocates and initializes CvMat header */ -CVAPI(CvMat*) cvCreateMatHeader( int rows, int cols, int type ); - -#define CV_AUTOSTEP 0x7fffffff - -/* Initializes CvMat header */ -CVAPI(CvMat*) cvInitMatHeader( CvMat* mat, int rows, int cols, - int type, void* data CV_DEFAULT(NULL), - int step CV_DEFAULT(CV_AUTOSTEP) ); - -/* Allocates and initializes CvMat header and allocates data */ -CVAPI(CvMat*) cvCreateMat( int rows, int cols, int type ); - -/* Releases CvMat header and deallocates matrix data - (reference counting is used for data) */ -CVAPI(void) cvReleaseMat( CvMat** mat ); - -/* Decrements CvMat data reference counter and deallocates the data if - it reaches 0 */ -CV_INLINE void cvDecRefData( CvArr* arr ) -{ - if( CV_IS_MAT( arr )) - { - CvMat* mat = (CvMat*)arr; - mat->data.ptr = NULL; - if( mat->refcount != NULL && --*mat->refcount == 0 ) - cvFree( &mat->refcount ); - mat->refcount = NULL; - } - else if( CV_IS_MATND( arr )) - { - CvMatND* mat = (CvMatND*)arr; - mat->data.ptr = NULL; - if( mat->refcount != NULL && --*mat->refcount == 0 ) - cvFree( &mat->refcount ); - mat->refcount = NULL; - } -} - -/* Increments CvMat data reference counter */ -CV_INLINE int cvIncRefData( CvArr* arr ) -{ - int refcount = 0; - if( CV_IS_MAT( arr )) - { - CvMat* mat = (CvMat*)arr; - if( mat->refcount != NULL ) - refcount = ++*mat->refcount; - } - else if( CV_IS_MATND( arr )) - { - CvMatND* mat = (CvMatND*)arr; - if( mat->refcount != NULL ) - refcount = ++*mat->refcount; - } - return refcount; -} - - -/* Creates an exact copy of the input matrix (except, may be, step value) */ -CVAPI(CvMat*) cvCloneMat( const CvMat* mat ); - - -/* Makes a new matrix from subrectangle of input array. - No data is copied */ -CVAPI(CvMat*) cvGetSubRect( const CvArr* arr, CvMat* submat, CvRect rect ); -#define cvGetSubArr cvGetSubRect - -/* Selects row span of the input array: arr(start_row:delta_row:end_row,:) - (end_row is not included into the span). */ -CVAPI(CvMat*) cvGetRows( const CvArr* arr, CvMat* submat, - int start_row, int end_row, - int delta_row CV_DEFAULT(1)); - -CV_INLINE CvMat* cvGetRow( const CvArr* arr, CvMat* submat, int row ) -{ - return cvGetRows( arr, submat, row, row + 1, 1 ); -} - - -/* Selects column span of the input array: arr(:,start_col:end_col) - (end_col is not included into the span) */ -CVAPI(CvMat*) cvGetCols( const CvArr* arr, CvMat* submat, - int start_col, int end_col ); - -CV_INLINE CvMat* cvGetCol( const CvArr* arr, CvMat* submat, int col ) -{ - return cvGetCols( arr, submat, col, col + 1 ); -} - -/* Select a diagonal of the input array. - (diag = 0 means the main diagonal, >0 means a diagonal above the main one, - <0 - below the main one). - The diagonal will be represented as a column (nx1 matrix). */ -CVAPI(CvMat*) cvGetDiag( const CvArr* arr, CvMat* submat, - int diag CV_DEFAULT(0)); - -/* low-level scalar <-> raw data conversion functions */ -CVAPI(void) cvScalarToRawData( const CvScalar* scalar, void* data, int type, - int extend_to_12 CV_DEFAULT(0) ); - -CVAPI(void) cvRawDataToScalar( const void* data, int type, CvScalar* scalar ); - -/* Allocates and initializes CvMatND header */ -CVAPI(CvMatND*) cvCreateMatNDHeader( int dims, const int* sizes, int type ); - -/* Allocates and initializes CvMatND header and allocates data */ -CVAPI(CvMatND*) cvCreateMatND( int dims, const int* sizes, int type ); - -/* Initializes preallocated CvMatND header */ -CVAPI(CvMatND*) cvInitMatNDHeader( CvMatND* mat, int dims, const int* sizes, - int type, void* data CV_DEFAULT(NULL) ); - -/* Releases CvMatND */ -CV_INLINE void cvReleaseMatND( CvMatND** mat ) -{ - cvReleaseMat( (CvMat**)mat ); -} - -/* Creates a copy of CvMatND (except, may be, steps) */ -CVAPI(CvMatND*) cvCloneMatND( const CvMatND* mat ); - -/* Allocates and initializes CvSparseMat header and allocates data */ -CVAPI(CvSparseMat*) cvCreateSparseMat( int dims, const int* sizes, int type ); - -/* Releases CvSparseMat */ -CVAPI(void) cvReleaseSparseMat( CvSparseMat** mat ); - -/* Creates a copy of CvSparseMat (except, may be, zero items) */ -CVAPI(CvSparseMat*) cvCloneSparseMat( const CvSparseMat* mat ); - -/* Initializes sparse array iterator - (returns the first node or NULL if the array is empty) */ -CVAPI(CvSparseNode*) cvInitSparseMatIterator( const CvSparseMat* mat, - CvSparseMatIterator* mat_iterator ); - -// returns next sparse array node (or NULL if there is no more nodes) -CV_INLINE CvSparseNode* cvGetNextSparseNode( CvSparseMatIterator* mat_iterator ) -{ - if( mat_iterator->node->next ) - return mat_iterator->node = mat_iterator->node->next; - else - { - int idx; - for( idx = ++mat_iterator->curidx; idx < mat_iterator->mat->hashsize; idx++ ) - { - CvSparseNode* node = (CvSparseNode*)mat_iterator->mat->hashtable[idx]; - if( node ) - { - mat_iterator->curidx = idx; - return mat_iterator->node = node; - } - } - return NULL; - } -} - -/**************** matrix iterator: used for n-ary operations on dense arrays *********/ - -#define CV_MAX_ARR 10 - -typedef struct CvNArrayIterator -{ - int count; /* number of arrays */ - int dims; /* number of dimensions to iterate */ - CvSize size; /* maximal common linear size: { width = size, height = 1 } */ - uchar* ptr[CV_MAX_ARR]; /* pointers to the array slices */ - int stack[CV_MAX_DIM]; /* for internal use */ - CvMatND* hdr[CV_MAX_ARR]; /* pointers to the headers of the - matrices that are processed */ -} -CvNArrayIterator; - -#define CV_NO_DEPTH_CHECK 1 -#define CV_NO_CN_CHECK 2 -#define CV_NO_SIZE_CHECK 4 - -/* initializes iterator that traverses through several arrays simulteneously - (the function together with cvNextArraySlice is used for - N-ari element-wise operations) */ -CVAPI(int) cvInitNArrayIterator( int count, CvArr** arrs, - const CvArr* mask, CvMatND* stubs, - CvNArrayIterator* array_iterator, - int flags CV_DEFAULT(0) ); - -/* returns zero value if iteration is finished, non-zero (slice length) otherwise */ -CVAPI(int) cvNextNArraySlice( CvNArrayIterator* array_iterator ); - - -/* Returns type of array elements: - CV_8UC1 ... CV_64FC4 ... */ -CVAPI(int) cvGetElemType( const CvArr* arr ); - -/* Retrieves number of an array dimensions and - optionally sizes of the dimensions */ -CVAPI(int) cvGetDims( const CvArr* arr, int* sizes CV_DEFAULT(NULL) ); - - -/* Retrieves size of a particular array dimension. - For 2d arrays cvGetDimSize(arr,0) returns number of rows (image height) - and cvGetDimSize(arr,1) returns number of columns (image width) */ -CVAPI(int) cvGetDimSize( const CvArr* arr, int index ); - - -/* ptr = &arr(idx0,idx1,...). All indexes are zero-based, - the major dimensions go first (e.g. (y,x) for 2D, (z,y,x) for 3D */ -CVAPI(uchar*) cvPtr1D( const CvArr* arr, int idx0, int* type CV_DEFAULT(NULL)); -CVAPI(uchar*) cvPtr2D( const CvArr* arr, int idx0, int idx1, int* type CV_DEFAULT(NULL) ); -CVAPI(uchar*) cvPtr3D( const CvArr* arr, int idx0, int idx1, int idx2, - int* type CV_DEFAULT(NULL)); - -/* For CvMat or IplImage number of indices should be 2 - (row index (y) goes first, column index (x) goes next). - For CvMatND or CvSparseMat number of infices should match number of and - indices order should match the array dimension order. */ -CVAPI(uchar*) cvPtrND( const CvArr* arr, const int* idx, int* type CV_DEFAULT(NULL), - int create_node CV_DEFAULT(1), - unsigned* precalc_hashval CV_DEFAULT(NULL)); - -/* value = arr(idx0,idx1,...) */ -CVAPI(CvScalar) cvGet1D( const CvArr* arr, int idx0 ); -CVAPI(CvScalar) cvGet2D( const CvArr* arr, int idx0, int idx1 ); -CVAPI(CvScalar) cvGet3D( const CvArr* arr, int idx0, int idx1, int idx2 ); -CVAPI(CvScalar) cvGetND( const CvArr* arr, const int* idx ); - -/* for 1-channel arrays */ -CVAPI(double) cvGetReal1D( const CvArr* arr, int idx0 ); -CVAPI(double) cvGetReal2D( const CvArr* arr, int idx0, int idx1 ); -CVAPI(double) cvGetReal3D( const CvArr* arr, int idx0, int idx1, int idx2 ); -CVAPI(double) cvGetRealND( const CvArr* arr, const int* idx ); - -/* arr(idx0,idx1,...) = value */ -CVAPI(void) cvSet1D( CvArr* arr, int idx0, CvScalar value ); -CVAPI(void) cvSet2D( CvArr* arr, int idx0, int idx1, CvScalar value ); -CVAPI(void) cvSet3D( CvArr* arr, int idx0, int idx1, int idx2, CvScalar value ); -CVAPI(void) cvSetND( CvArr* arr, const int* idx, CvScalar value ); - -/* for 1-channel arrays */ -CVAPI(void) cvSetReal1D( CvArr* arr, int idx0, double value ); -CVAPI(void) cvSetReal2D( CvArr* arr, int idx0, int idx1, double value ); -CVAPI(void) cvSetReal3D( CvArr* arr, int idx0, - int idx1, int idx2, double value ); -CVAPI(void) cvSetRealND( CvArr* arr, const int* idx, double value ); - -/* clears element of ND dense array, - in case of sparse arrays it deletes the specified node */ -CVAPI(void) cvClearND( CvArr* arr, const int* idx ); - -/* Converts CvArr (IplImage or CvMat,...) to CvMat. - If the last parameter is non-zero, function can - convert multi(>2)-dimensional array to CvMat as long as - the last array's dimension is continous. The resultant - matrix will be have appropriate (a huge) number of rows */ -CVAPI(CvMat*) cvGetMat( const CvArr* arr, CvMat* header, - int* coi CV_DEFAULT(NULL), - int allowND CV_DEFAULT(0)); - -/* Converts CvArr (IplImage or CvMat) to IplImage */ -CVAPI(IplImage*) cvGetImage( const CvArr* arr, IplImage* image_header ); - - -/* Changes a shape of multi-dimensional array. - new_cn == 0 means that number of channels remains unchanged. - new_dims == 0 means that number and sizes of dimensions remain the same - (unless they need to be changed to set the new number of channels) - if new_dims == 1, there is no need to specify new dimension sizes - The resultant configuration should be achievable w/o data copying. - If the resultant array is sparse, CvSparseMat header should be passed - to the function else if the result is 1 or 2 dimensional, - CvMat header should be passed to the function - else CvMatND header should be passed */ -CVAPI(CvArr*) cvReshapeMatND( const CvArr* arr, - int sizeof_header, CvArr* header, - int new_cn, int new_dims, int* new_sizes ); - -#define cvReshapeND( arr, header, new_cn, new_dims, new_sizes ) \ - cvReshapeMatND( (arr), sizeof(*(header)), (header), \ - (new_cn), (new_dims), (new_sizes)) - -CVAPI(CvMat*) cvReshape( const CvArr* arr, CvMat* header, - int new_cn, int new_rows CV_DEFAULT(0) ); - -/* Repeats source 2d array several times in both horizontal and - vertical direction to fill destination array */ -CVAPI(void) cvRepeat( const CvArr* src, CvArr* dst ); - -/* Allocates array data */ -CVAPI(void) cvCreateData( CvArr* arr ); - -/* Releases array data */ -CVAPI(void) cvReleaseData( CvArr* arr ); - -/* Attaches user data to the array header. The step is reffered to - the pre-last dimension. That is, all the planes of the array - must be joint (w/o gaps) */ -CVAPI(void) cvSetData( CvArr* arr, void* data, int step ); - -/* Retrieves raw data of CvMat, IplImage or CvMatND. - In the latter case the function raises an error if - the array can not be represented as a matrix */ -CVAPI(void) cvGetRawData( const CvArr* arr, uchar** data, - int* step CV_DEFAULT(NULL), - CvSize* roi_size CV_DEFAULT(NULL)); - -/* Returns width and height of array in elements */ -CVAPI(CvSize) cvGetSize( const CvArr* arr ); - -/* Copies source array to destination array */ -CVAPI(void) cvCopy( const CvArr* src, CvArr* dst, - const CvArr* mask CV_DEFAULT(NULL) ); - -/* Sets all or "masked" elements of input array - to the same value*/ -CVAPI(void) cvSet( CvArr* arr, CvScalar value, - const CvArr* mask CV_DEFAULT(NULL) ); - -/* Clears all the array elements (sets them to 0) */ -CVAPI(void) cvSetZero( CvArr* arr ); -#define cvZero cvSetZero - - -/* Splits a multi-channel array into the set of single-channel arrays or - extracts particular [color] plane */ -CVAPI(void) cvSplit( const CvArr* src, CvArr* dst0, CvArr* dst1, - CvArr* dst2, CvArr* dst3 ); - -/* Merges a set of single-channel arrays into the single multi-channel array - or inserts one particular [color] plane to the array */ -CVAPI(void) cvMerge( const CvArr* src0, const CvArr* src1, - const CvArr* src2, const CvArr* src3, - CvArr* dst ); - -/* Copies several channels from input arrays to - certain channels of output arrays */ -CVAPI(void) cvMixChannels( const CvArr** src, int src_count, - CvArr** dst, int dst_count, - const int* from_to, int pair_count ); - -/* Performs linear transformation on every source array element: - dst(x,y,c) = scale*src(x,y,c)+shift. - Arbitrary combination of input and output array depths are allowed - (number of channels must be the same), thus the function can be used - for type conversion */ -CVAPI(void) cvConvertScale( const CvArr* src, CvArr* dst, - double scale CV_DEFAULT(1), - double shift CV_DEFAULT(0) ); -#define cvCvtScale cvConvertScale -#define cvScale cvConvertScale -#define cvConvert( src, dst ) cvConvertScale( (src), (dst), 1, 0 ) - - -/* Performs linear transformation on every source array element, - stores absolute value of the result: - dst(x,y,c) = abs(scale*src(x,y,c)+shift). - destination array must have 8u type. - In other cases one may use cvConvertScale + cvAbsDiffS */ -CVAPI(void) cvConvertScaleAbs( const CvArr* src, CvArr* dst, - double scale CV_DEFAULT(1), - double shift CV_DEFAULT(0) ); -#define cvCvtScaleAbs cvConvertScaleAbs - - -/* checks termination criteria validity and - sets eps to default_eps (if it is not set), - max_iter to default_max_iters (if it is not set) -*/ -CVAPI(CvTermCriteria) cvCheckTermCriteria( CvTermCriteria criteria, - double default_eps, - int default_max_iters ); - -/****************************************************************************************\ -* Arithmetic, logic and comparison operations * -\****************************************************************************************/ - -/* dst(mask) = src1(mask) + src2(mask) */ -CVAPI(void) cvAdd( const CvArr* src1, const CvArr* src2, CvArr* dst, - const CvArr* mask CV_DEFAULT(NULL)); - -/* dst(mask) = src(mask) + value */ -CVAPI(void) cvAddS( const CvArr* src, CvScalar value, CvArr* dst, - const CvArr* mask CV_DEFAULT(NULL)); - -/* dst(mask) = src1(mask) - src2(mask) */ -CVAPI(void) cvSub( const CvArr* src1, const CvArr* src2, CvArr* dst, - const CvArr* mask CV_DEFAULT(NULL)); - -/* dst(mask) = src(mask) - value = src(mask) + (-value) */ -CV_INLINE void cvSubS( const CvArr* src, CvScalar value, CvArr* dst, - const CvArr* mask CV_DEFAULT(NULL)) -{ - cvAddS( src, cvScalar( -value.val[0], -value.val[1], -value.val[2], -value.val[3]), - dst, mask ); -} - -/* dst(mask) = value - src(mask) */ -CVAPI(void) cvSubRS( const CvArr* src, CvScalar value, CvArr* dst, - const CvArr* mask CV_DEFAULT(NULL)); - -/* dst(idx) = src1(idx) * src2(idx) * scale - (scaled element-wise multiplication of 2 arrays) */ -CVAPI(void) cvMul( const CvArr* src1, const CvArr* src2, - CvArr* dst, double scale CV_DEFAULT(1) ); - -/* element-wise division/inversion with scaling: - dst(idx) = src1(idx) * scale / src2(idx) - or dst(idx) = scale / src2(idx) if src1 == 0 */ -CVAPI(void) cvDiv( const CvArr* src1, const CvArr* src2, - CvArr* dst, double scale CV_DEFAULT(1)); - -/* dst = src1 * scale + src2 */ -CVAPI(void) cvScaleAdd( const CvArr* src1, CvScalar scale, - const CvArr* src2, CvArr* dst ); -#define cvAXPY( A, real_scalar, B, C ) cvScaleAdd(A, cvRealScalar(real_scalar), B, C) - -/* dst = src1 * alpha + src2 * beta + gamma */ -CVAPI(void) cvAddWeighted( const CvArr* src1, double alpha, - const CvArr* src2, double beta, - double gamma, CvArr* dst ); - -/* result = sum_i(src1(i) * src2(i)) (results for all channels are accumulated together) */ -CVAPI(double) cvDotProduct( const CvArr* src1, const CvArr* src2 ); - -/* dst(idx) = src1(idx) & src2(idx) */ -CVAPI(void) cvAnd( const CvArr* src1, const CvArr* src2, - CvArr* dst, const CvArr* mask CV_DEFAULT(NULL)); - -/* dst(idx) = src(idx) & value */ -CVAPI(void) cvAndS( const CvArr* src, CvScalar value, - CvArr* dst, const CvArr* mask CV_DEFAULT(NULL)); - -/* dst(idx) = src1(idx) | src2(idx) */ -CVAPI(void) cvOr( const CvArr* src1, const CvArr* src2, - CvArr* dst, const CvArr* mask CV_DEFAULT(NULL)); - -/* dst(idx) = src(idx) | value */ -CVAPI(void) cvOrS( const CvArr* src, CvScalar value, - CvArr* dst, const CvArr* mask CV_DEFAULT(NULL)); - -/* dst(idx) = src1(idx) ^ src2(idx) */ -CVAPI(void) cvXor( const CvArr* src1, const CvArr* src2, - CvArr* dst, const CvArr* mask CV_DEFAULT(NULL)); - -/* dst(idx) = src(idx) ^ value */ -CVAPI(void) cvXorS( const CvArr* src, CvScalar value, - CvArr* dst, const CvArr* mask CV_DEFAULT(NULL)); - -/* dst(idx) = ~src(idx) */ -CVAPI(void) cvNot( const CvArr* src, CvArr* dst ); - -/* dst(idx) = lower(idx) <= src(idx) < upper(idx) */ -CVAPI(void) cvInRange( const CvArr* src, const CvArr* lower, - const CvArr* upper, CvArr* dst ); - -/* dst(idx) = lower <= src(idx) < upper */ -CVAPI(void) cvInRangeS( const CvArr* src, CvScalar lower, - CvScalar upper, CvArr* dst ); - -#define CV_CMP_EQ 0 -#define CV_CMP_GT 1 -#define CV_CMP_GE 2 -#define CV_CMP_LT 3 -#define CV_CMP_LE 4 -#define CV_CMP_NE 5 - -/* The comparison operation support single-channel arrays only. - Destination image should be 8uC1 or 8sC1 */ - -/* dst(idx) = src1(idx) _cmp_op_ src2(idx) */ -CVAPI(void) cvCmp( const CvArr* src1, const CvArr* src2, CvArr* dst, int cmp_op ); - -/* dst(idx) = src1(idx) _cmp_op_ value */ -CVAPI(void) cvCmpS( const CvArr* src, double value, CvArr* dst, int cmp_op ); - -/* dst(idx) = min(src1(idx),src2(idx)) */ -CVAPI(void) cvMin( const CvArr* src1, const CvArr* src2, CvArr* dst ); - -/* dst(idx) = max(src1(idx),src2(idx)) */ -CVAPI(void) cvMax( const CvArr* src1, const CvArr* src2, CvArr* dst ); - -/* dst(idx) = min(src(idx),value) */ -CVAPI(void) cvMinS( const CvArr* src, double value, CvArr* dst ); - -/* dst(idx) = max(src(idx),value) */ -CVAPI(void) cvMaxS( const CvArr* src, double value, CvArr* dst ); - -/* dst(x,y,c) = abs(src1(x,y,c) - src2(x,y,c)) */ -CVAPI(void) cvAbsDiff( const CvArr* src1, const CvArr* src2, CvArr* dst ); - -/* dst(x,y,c) = abs(src(x,y,c) - value(c)) */ -CVAPI(void) cvAbsDiffS( const CvArr* src, CvArr* dst, CvScalar value ); -#define cvAbs( src, dst ) cvAbsDiffS( (src), (dst), cvScalarAll(0)) - -/****************************************************************************************\ -* Math operations * -\****************************************************************************************/ - -/* Does cartesian->polar coordinates conversion. - Either of output components (magnitude or angle) is optional */ -CVAPI(void) cvCartToPolar( const CvArr* x, const CvArr* y, - CvArr* magnitude, CvArr* angle CV_DEFAULT(NULL), - int angle_in_degrees CV_DEFAULT(0)); - -/* Does polar->cartesian coordinates conversion. - Either of output components (magnitude or angle) is optional. - If magnitude is missing it is assumed to be all 1's */ -CVAPI(void) cvPolarToCart( const CvArr* magnitude, const CvArr* angle, - CvArr* x, CvArr* y, - int angle_in_degrees CV_DEFAULT(0)); - -/* Does powering: dst(idx) = src(idx)^power */ -CVAPI(void) cvPow( const CvArr* src, CvArr* dst, double power ); - -/* Does exponention: dst(idx) = exp(src(idx)). - Overflow is not handled yet. Underflow is handled. - Maximal relative error is ~7e-6 for single-precision input */ -CVAPI(void) cvExp( const CvArr* src, CvArr* dst ); - -/* Calculates natural logarithms: dst(idx) = log(abs(src(idx))). - Logarithm of 0 gives large negative number(~-700) - Maximal relative error is ~3e-7 for single-precision output -*/ -CVAPI(void) cvLog( const CvArr* src, CvArr* dst ); - -/* Fast arctangent calculation */ -CVAPI(float) cvFastArctan( float y, float x ); - -/* Fast cubic root calculation */ -CVAPI(float) cvCbrt( float value ); - -/* Checks array values for NaNs, Infs or simply for too large numbers - (if CV_CHECK_RANGE is set). If CV_CHECK_QUIET is set, - no runtime errors is raised (function returns zero value in case of "bad" values). - Otherwise cvError is called */ -#define CV_CHECK_RANGE 1 -#define CV_CHECK_QUIET 2 -CVAPI(int) cvCheckArr( const CvArr* arr, int flags CV_DEFAULT(0), - double min_val CV_DEFAULT(0), double max_val CV_DEFAULT(0)); -#define cvCheckArray cvCheckArr - -#define CV_RAND_UNI 0 -#define CV_RAND_NORMAL 1 -CVAPI(void) cvRandArr( CvRNG* rng, CvArr* arr, int dist_type, - CvScalar param1, CvScalar param2 ); - -CVAPI(void) cvRandShuffle( CvArr* mat, CvRNG* rng, - double iter_factor CV_DEFAULT(1.)); - -#define CV_SORT_EVERY_ROW 0 -#define CV_SORT_EVERY_COLUMN 1 -#define CV_SORT_ASCENDING 0 -#define CV_SORT_DESCENDING 16 - -CVAPI(void) cvSort( const CvArr* src, CvArr* dst CV_DEFAULT(NULL), - CvArr* idxmat CV_DEFAULT(NULL), - int flags CV_DEFAULT(0)); - -/* Finds real roots of a cubic equation */ -CVAPI(int) cvSolveCubic( const CvMat* coeffs, CvMat* roots ); - -/* Finds all real and complex roots of a polynomial equation */ -CVAPI(void) cvSolvePoly(const CvMat* coeffs, CvMat *roots2, - int maxiter CV_DEFAULT(20), int fig CV_DEFAULT(100)); - -/****************************************************************************************\ -* Matrix operations * -\****************************************************************************************/ - -/* Calculates cross product of two 3d vectors */ -CVAPI(void) cvCrossProduct( const CvArr* src1, const CvArr* src2, CvArr* dst ); - -/* Matrix transform: dst = A*B + C, C is optional */ -#define cvMatMulAdd( src1, src2, src3, dst ) cvGEMM( (src1), (src2), 1., (src3), 1., (dst), 0 ) -#define cvMatMul( src1, src2, dst ) cvMatMulAdd( (src1), (src2), NULL, (dst)) - -#define CV_GEMM_A_T 1 -#define CV_GEMM_B_T 2 -#define CV_GEMM_C_T 4 -/* Extended matrix transform: - dst = alpha*op(A)*op(B) + beta*op(C), where op(X) is X or X^T */ -CVAPI(void) cvGEMM( const CvArr* src1, const CvArr* src2, double alpha, - const CvArr* src3, double beta, CvArr* dst, - int tABC CV_DEFAULT(0)); -#define cvMatMulAddEx cvGEMM - -/* Transforms each element of source array and stores - resultant vectors in destination array */ -CVAPI(void) cvTransform( const CvArr* src, CvArr* dst, - const CvMat* transmat, - const CvMat* shiftvec CV_DEFAULT(NULL)); -#define cvMatMulAddS cvTransform - -/* Does perspective transform on every element of input array */ -CVAPI(void) cvPerspectiveTransform( const CvArr* src, CvArr* dst, - const CvMat* mat ); - -/* Calculates (A-delta)*(A-delta)^T (order=0) or (A-delta)^T*(A-delta) (order=1) */ -CVAPI(void) cvMulTransposed( const CvArr* src, CvArr* dst, int order, - const CvArr* delta CV_DEFAULT(NULL), - double scale CV_DEFAULT(1.) ); - -/* Tranposes matrix. Square matrices can be transposed in-place */ -CVAPI(void) cvTranspose( const CvArr* src, CvArr* dst ); -#define cvT cvTranspose - -/* Completes the symmetric matrix from the lower (LtoR=0) or from the upper (LtoR!=0) part */ -CVAPI(void) cvCompleteSymm( CvMat* matrix, int LtoR CV_DEFAULT(0) ); - -/* Mirror array data around horizontal (flip=0), - vertical (flip=1) or both(flip=-1) axises: - cvFlip(src) flips images vertically and sequences horizontally (inplace) */ -CVAPI(void) cvFlip( const CvArr* src, CvArr* dst CV_DEFAULT(NULL), - int flip_mode CV_DEFAULT(0)); -#define cvMirror cvFlip - - -#define CV_SVD_MODIFY_A 1 -#define CV_SVD_U_T 2 -#define CV_SVD_V_T 4 - -/* Performs Singular Value Decomposition of a matrix */ -CVAPI(void) cvSVD( CvArr* A, CvArr* W, CvArr* U CV_DEFAULT(NULL), - CvArr* V CV_DEFAULT(NULL), int flags CV_DEFAULT(0)); - -/* Performs Singular Value Back Substitution (solves A*X = B): - flags must be the same as in cvSVD */ -CVAPI(void) cvSVBkSb( const CvArr* W, const CvArr* U, - const CvArr* V, const CvArr* B, - CvArr* X, int flags ); - -#define CV_LU 0 -#define CV_SVD 1 -#define CV_SVD_SYM 2 -#define CV_CHOLESKY 3 -#define CV_QR 4 -#define CV_NORMAL 16 - -/* Inverts matrix */ -CVAPI(double) cvInvert( const CvArr* src, CvArr* dst, - int method CV_DEFAULT(CV_LU)); -#define cvInv cvInvert - -/* Solves linear system (src1)*(dst) = (src2) - (returns 0 if src1 is a singular and CV_LU method is used) */ -CVAPI(int) cvSolve( const CvArr* src1, const CvArr* src2, CvArr* dst, - int method CV_DEFAULT(CV_LU)); - -/* Calculates determinant of input matrix */ -CVAPI(double) cvDet( const CvArr* mat ); - -/* Calculates trace of the matrix (sum of elements on the main diagonal) */ -CVAPI(CvScalar) cvTrace( const CvArr* mat ); - -/* Finds eigen values and vectors of a symmetric matrix */ -CVAPI(void) cvEigenVV( CvArr* mat, CvArr* evects, CvArr* evals, - double eps CV_DEFAULT(0), - int lowindex CV_DEFAULT(-1), - int highindex CV_DEFAULT(-1)); - -///* Finds selected eigen values and vectors of a symmetric matrix */ -//CVAPI(void) cvSelectedEigenVV( CvArr* mat, CvArr* evects, CvArr* evals, -// int lowindex, int highindex ); - -/* Makes an identity matrix (mat_ij = i == j) */ -CVAPI(void) cvSetIdentity( CvArr* mat, CvScalar value CV_DEFAULT(cvRealScalar(1)) ); - -/* Fills matrix with given range of numbers */ -CVAPI(CvArr*) cvRange( CvArr* mat, double start, double end ); - -/* Calculates covariation matrix for a set of vectors */ -/* transpose([v1-avg, v2-avg,...]) * [v1-avg,v2-avg,...] */ -#define CV_COVAR_SCRAMBLED 0 - -/* [v1-avg, v2-avg,...] * transpose([v1-avg,v2-avg,...]) */ -#define CV_COVAR_NORMAL 1 - -/* do not calc average (i.e. mean vector) - use the input vector instead - (useful for calculating covariance matrix by parts) */ -#define CV_COVAR_USE_AVG 2 - -/* scale the covariance matrix coefficients by number of the vectors */ -#define CV_COVAR_SCALE 4 - -/* all the input vectors are stored in a single matrix, as its rows */ -#define CV_COVAR_ROWS 8 - -/* all the input vectors are stored in a single matrix, as its columns */ -#define CV_COVAR_COLS 16 - -CVAPI(void) cvCalcCovarMatrix( const CvArr** vects, int count, - CvArr* cov_mat, CvArr* avg, int flags ); - -#define CV_PCA_DATA_AS_ROW 0 -#define CV_PCA_DATA_AS_COL 1 -#define CV_PCA_USE_AVG 2 -CVAPI(void) cvCalcPCA( const CvArr* data, CvArr* mean, - CvArr* eigenvals, CvArr* eigenvects, int flags ); - -CVAPI(void) cvProjectPCA( const CvArr* data, const CvArr* mean, - const CvArr* eigenvects, CvArr* result ); - -CVAPI(void) cvBackProjectPCA( const CvArr* proj, const CvArr* mean, - const CvArr* eigenvects, CvArr* result ); - -/* Calculates Mahalanobis(weighted) distance */ -CVAPI(double) cvMahalanobis( const CvArr* vec1, const CvArr* vec2, const CvArr* mat ); -#define cvMahalonobis cvMahalanobis - -/****************************************************************************************\ -* Array Statistics * -\****************************************************************************************/ - -/* Finds sum of array elements */ -CVAPI(CvScalar) cvSum( const CvArr* arr ); - -/* Calculates number of non-zero pixels */ -CVAPI(int) cvCountNonZero( const CvArr* arr ); - -/* Calculates mean value of array elements */ -CVAPI(CvScalar) cvAvg( const CvArr* arr, const CvArr* mask CV_DEFAULT(NULL) ); - -/* Calculates mean and standard deviation of pixel values */ -CVAPI(void) cvAvgSdv( const CvArr* arr, CvScalar* mean, CvScalar* std_dev, - const CvArr* mask CV_DEFAULT(NULL) ); - -/* Finds global minimum, maximum and their positions */ -CVAPI(void) cvMinMaxLoc( const CvArr* arr, double* min_val, double* max_val, - CvPoint* min_loc CV_DEFAULT(NULL), - CvPoint* max_loc CV_DEFAULT(NULL), - const CvArr* mask CV_DEFAULT(NULL) ); - -/* types of array norm */ -#define CV_C 1 -#define CV_L1 2 -#define CV_L2 4 -#define CV_NORM_MASK 7 -#define CV_RELATIVE 8 -#define CV_DIFF 16 -#define CV_MINMAX 32 - -#define CV_DIFF_C (CV_DIFF | CV_C) -#define CV_DIFF_L1 (CV_DIFF | CV_L1) -#define CV_DIFF_L2 (CV_DIFF | CV_L2) -#define CV_RELATIVE_C (CV_RELATIVE | CV_C) -#define CV_RELATIVE_L1 (CV_RELATIVE | CV_L1) -#define CV_RELATIVE_L2 (CV_RELATIVE | CV_L2) - -/* Finds norm, difference norm or relative difference norm for an array (or two arrays) */ -CVAPI(double) cvNorm( const CvArr* arr1, const CvArr* arr2 CV_DEFAULT(NULL), - int norm_type CV_DEFAULT(CV_L2), - const CvArr* mask CV_DEFAULT(NULL) ); - -CVAPI(void) cvNormalize( const CvArr* src, CvArr* dst, - double a CV_DEFAULT(1.), double b CV_DEFAULT(0.), - int norm_type CV_DEFAULT(CV_L2), - const CvArr* mask CV_DEFAULT(NULL) ); - - -#define CV_REDUCE_SUM 0 -#define CV_REDUCE_AVG 1 -#define CV_REDUCE_MAX 2 -#define CV_REDUCE_MIN 3 - -CVAPI(void) cvReduce( const CvArr* src, CvArr* dst, int dim CV_DEFAULT(-1), - int op CV_DEFAULT(CV_REDUCE_SUM) ); - -/****************************************************************************************\ -* Discrete Linear Transforms and Related Functions * -\****************************************************************************************/ - -#define CV_DXT_FORWARD 0 -#define CV_DXT_INVERSE 1 -#define CV_DXT_SCALE 2 /* divide result by size of array */ -#define CV_DXT_INV_SCALE (CV_DXT_INVERSE + CV_DXT_SCALE) -#define CV_DXT_INVERSE_SCALE CV_DXT_INV_SCALE -#define CV_DXT_ROWS 4 /* transform each row individually */ -#define CV_DXT_MUL_CONJ 8 /* conjugate the second argument of cvMulSpectrums */ - -/* Discrete Fourier Transform: - complex->complex, - real->ccs (forward), - ccs->real (inverse) */ -CVAPI(void) cvDFT( const CvArr* src, CvArr* dst, int flags, - int nonzero_rows CV_DEFAULT(0) ); -#define cvFFT cvDFT - -/* Multiply results of DFTs: DFT(X)*DFT(Y) or DFT(X)*conj(DFT(Y)) */ -CVAPI(void) cvMulSpectrums( const CvArr* src1, const CvArr* src2, - CvArr* dst, int flags ); - -/* Finds optimal DFT vector size >= size0 */ -CVAPI(int) cvGetOptimalDFTSize( int size0 ); - -/* Discrete Cosine Transform */ -CVAPI(void) cvDCT( const CvArr* src, CvArr* dst, int flags ); - -/****************************************************************************************\ -* Dynamic data structures * -\****************************************************************************************/ - -/* Calculates length of sequence slice (with support of negative indices). */ -CVAPI(int) cvSliceLength( CvSlice slice, const CvSeq* seq ); - - -/* Creates new memory storage. - block_size == 0 means that default, - somewhat optimal size, is used (currently, it is 64K) */ -CVAPI(CvMemStorage*) cvCreateMemStorage( int block_size CV_DEFAULT(0)); - - -/* Creates a memory storage that will borrow memory blocks from parent storage */ -CVAPI(CvMemStorage*) cvCreateChildMemStorage( CvMemStorage* parent ); - - -/* Releases memory storage. All the children of a parent must be released before - the parent. A child storage returns all the blocks to parent when it is released */ -CVAPI(void) cvReleaseMemStorage( CvMemStorage** storage ); - - -/* Clears memory storage. This is the only way(!!!) (besides cvRestoreMemStoragePos) - to reuse memory allocated for the storage - cvClearSeq,cvClearSet ... - do not free any memory. - A child storage returns all the blocks to the parent when it is cleared */ -CVAPI(void) cvClearMemStorage( CvMemStorage* storage ); - -/* Remember a storage "free memory" position */ -CVAPI(void) cvSaveMemStoragePos( const CvMemStorage* storage, CvMemStoragePos* pos ); - -/* Restore a storage "free memory" position */ -CVAPI(void) cvRestoreMemStoragePos( CvMemStorage* storage, CvMemStoragePos* pos ); - -/* Allocates continuous buffer of the specified size in the storage */ -CVAPI(void*) cvMemStorageAlloc( CvMemStorage* storage, size_t size ); - -/* Allocates string in memory storage */ -CVAPI(CvString) cvMemStorageAllocString( CvMemStorage* storage, const char* ptr, - int len CV_DEFAULT(-1) ); - -/* Creates new empty sequence that will reside in the specified storage */ -CVAPI(CvSeq*) cvCreateSeq( int seq_flags, size_t header_size, - size_t elem_size, CvMemStorage* storage ); - -/* Changes default size (granularity) of sequence blocks. - The default size is ~1Kbyte */ -CVAPI(void) cvSetSeqBlockSize( CvSeq* seq, int delta_elems ); - - -/* Adds new element to the end of sequence. Returns pointer to the element */ -CVAPI(schar*) cvSeqPush( CvSeq* seq, const void* element CV_DEFAULT(NULL)); - - -/* Adds new element to the beginning of sequence. Returns pointer to it */ -CVAPI(schar*) cvSeqPushFront( CvSeq* seq, const void* element CV_DEFAULT(NULL)); - - -/* Removes the last element from sequence and optionally saves it */ -CVAPI(void) cvSeqPop( CvSeq* seq, void* element CV_DEFAULT(NULL)); - - -/* Removes the first element from sequence and optioanally saves it */ -CVAPI(void) cvSeqPopFront( CvSeq* seq, void* element CV_DEFAULT(NULL)); - - -#define CV_FRONT 1 -#define CV_BACK 0 -/* Adds several new elements to the end of sequence */ -CVAPI(void) cvSeqPushMulti( CvSeq* seq, const void* elements, - int count, int in_front CV_DEFAULT(0) ); - -/* Removes several elements from the end of sequence and optionally saves them */ -CVAPI(void) cvSeqPopMulti( CvSeq* seq, void* elements, - int count, int in_front CV_DEFAULT(0) ); - -/* Inserts a new element in the middle of sequence. - cvSeqInsert(seq,0,elem) == cvSeqPushFront(seq,elem) */ -CVAPI(schar*) cvSeqInsert( CvSeq* seq, int before_index, - const void* element CV_DEFAULT(NULL)); - -/* Removes specified sequence element */ -CVAPI(void) cvSeqRemove( CvSeq* seq, int index ); - - -/* Removes all the elements from the sequence. The freed memory - can be reused later only by the same sequence unless cvClearMemStorage - or cvRestoreMemStoragePos is called */ -CVAPI(void) cvClearSeq( CvSeq* seq ); - - -/* Retrieves pointer to specified sequence element. - Negative indices are supported and mean counting from the end - (e.g -1 means the last sequence element) */ -CVAPI(schar*) cvGetSeqElem( const CvSeq* seq, int index ); - -/* Calculates index of the specified sequence element. - Returns -1 if element does not belong to the sequence */ -CVAPI(int) cvSeqElemIdx( const CvSeq* seq, const void* element, - CvSeqBlock** block CV_DEFAULT(NULL) ); - -/* Initializes sequence writer. The new elements will be added to the end of sequence */ -CVAPI(void) cvStartAppendToSeq( CvSeq* seq, CvSeqWriter* writer ); - - -/* Combination of cvCreateSeq and cvStartAppendToSeq */ -CVAPI(void) cvStartWriteSeq( int seq_flags, int header_size, - int elem_size, CvMemStorage* storage, - CvSeqWriter* writer ); - -/* Closes sequence writer, updates sequence header and returns pointer - to the resultant sequence - (which may be useful if the sequence was created using cvStartWriteSeq)) -*/ -CVAPI(CvSeq*) cvEndWriteSeq( CvSeqWriter* writer ); - - -/* Updates sequence header. May be useful to get access to some of previously - written elements via cvGetSeqElem or sequence reader */ -CVAPI(void) cvFlushSeqWriter( CvSeqWriter* writer ); - - -/* Initializes sequence reader. - The sequence can be read in forward or backward direction */ -CVAPI(void) cvStartReadSeq( const CvSeq* seq, CvSeqReader* reader, - int reverse CV_DEFAULT(0) ); - - -/* Returns current sequence reader position (currently observed sequence element) */ -CVAPI(int) cvGetSeqReaderPos( CvSeqReader* reader ); - - -/* Changes sequence reader position. It may seek to an absolute or - to relative to the current position */ -CVAPI(void) cvSetSeqReaderPos( CvSeqReader* reader, int index, - int is_relative CV_DEFAULT(0)); - -/* Copies sequence content to a continuous piece of memory */ -CVAPI(void*) cvCvtSeqToArray( const CvSeq* seq, void* elements, - CvSlice slice CV_DEFAULT(CV_WHOLE_SEQ) ); - -/* Creates sequence header for array. - After that all the operations on sequences that do not alter the content - can be applied to the resultant sequence */ -CVAPI(CvSeq*) cvMakeSeqHeaderForArray( int seq_type, int header_size, - int elem_size, void* elements, int total, - CvSeq* seq, CvSeqBlock* block ); - -/* Extracts sequence slice (with or without copying sequence elements) */ -CVAPI(CvSeq*) cvSeqSlice( const CvSeq* seq, CvSlice slice, - CvMemStorage* storage CV_DEFAULT(NULL), - int copy_data CV_DEFAULT(0)); - -CV_INLINE CvSeq* cvCloneSeq( const CvSeq* seq, CvMemStorage* storage CV_DEFAULT(NULL)) -{ - return cvSeqSlice( seq, CV_WHOLE_SEQ, storage, 1 ); -} - -/* Removes sequence slice */ -CVAPI(void) cvSeqRemoveSlice( CvSeq* seq, CvSlice slice ); - -/* Inserts a sequence or array into another sequence */ -CVAPI(void) cvSeqInsertSlice( CvSeq* seq, int before_index, const CvArr* from_arr ); - -/* a < b ? -1 : a > b ? 1 : 0 */ -typedef int (CV_CDECL* CvCmpFunc)(const void* a, const void* b, void* userdata ); - -/* Sorts sequence in-place given element comparison function */ -CVAPI(void) cvSeqSort( CvSeq* seq, CvCmpFunc func, void* userdata CV_DEFAULT(NULL) ); - -/* Finds element in a [sorted] sequence */ -CVAPI(schar*) cvSeqSearch( CvSeq* seq, const void* elem, CvCmpFunc func, - int is_sorted, int* elem_idx, - void* userdata CV_DEFAULT(NULL) ); - -/* Reverses order of sequence elements in-place */ -CVAPI(void) cvSeqInvert( CvSeq* seq ); - -/* Splits sequence into one or more equivalence classes using the specified criteria */ -CVAPI(int) cvSeqPartition( const CvSeq* seq, CvMemStorage* storage, - CvSeq** labels, CvCmpFunc is_equal, void* userdata ); - -/************ Internal sequence functions ************/ -CVAPI(void) cvChangeSeqBlock( void* reader, int direction ); -CVAPI(void) cvCreateSeqBlock( CvSeqWriter* writer ); - - -/* Creates a new set */ -CVAPI(CvSet*) cvCreateSet( int set_flags, int header_size, - int elem_size, CvMemStorage* storage ); - -/* Adds new element to the set and returns pointer to it */ -CVAPI(int) cvSetAdd( CvSet* set_header, CvSetElem* elem CV_DEFAULT(NULL), - CvSetElem** inserted_elem CV_DEFAULT(NULL) ); - -/* Fast variant of cvSetAdd */ -CV_INLINE CvSetElem* cvSetNew( CvSet* set_header ) -{ - CvSetElem* elem = set_header->free_elems; - if( elem ) - { - set_header->free_elems = elem->next_free; - elem->flags = elem->flags & CV_SET_ELEM_IDX_MASK; - set_header->active_count++; - } - else - cvSetAdd( set_header, NULL, &elem ); - return elem; -} - -/* Removes set element given its pointer */ -CV_INLINE void cvSetRemoveByPtr( CvSet* set_header, void* elem ) -{ - CvSetElem* _elem = (CvSetElem*)elem; - assert( _elem->flags >= 0 /*&& (elem->flags & CV_SET_ELEM_IDX_MASK) < set_header->total*/ ); - _elem->next_free = set_header->free_elems; - _elem->flags = (_elem->flags & CV_SET_ELEM_IDX_MASK) | CV_SET_ELEM_FREE_FLAG; - set_header->free_elems = _elem; - set_header->active_count--; -} - -/* Removes element from the set by its index */ -CVAPI(void) cvSetRemove( CvSet* set_header, int index ); - -/* Returns a set element by index. If the element doesn't belong to the set, - NULL is returned */ -CV_INLINE CvSetElem* cvGetSetElem( const CvSet* set_header, int idx ) -{ - CvSetElem* elem = (CvSetElem*)(void *)cvGetSeqElem( (CvSeq*)set_header, idx ); - return elem && CV_IS_SET_ELEM( elem ) ? elem : 0; -} - -/* Removes all the elements from the set */ -CVAPI(void) cvClearSet( CvSet* set_header ); - -/* Creates new graph */ -CVAPI(CvGraph*) cvCreateGraph( int graph_flags, int header_size, - int vtx_size, int edge_size, - CvMemStorage* storage ); - -/* Adds new vertex to the graph */ -CVAPI(int) cvGraphAddVtx( CvGraph* graph, const CvGraphVtx* vtx CV_DEFAULT(NULL), - CvGraphVtx** inserted_vtx CV_DEFAULT(NULL) ); - - -/* Removes vertex from the graph together with all incident edges */ -CVAPI(int) cvGraphRemoveVtx( CvGraph* graph, int index ); -CVAPI(int) cvGraphRemoveVtxByPtr( CvGraph* graph, CvGraphVtx* vtx ); - - -/* Link two vertices specifed by indices or pointers if they - are not connected or return pointer to already existing edge - connecting the vertices. - Functions return 1 if a new edge was created, 0 otherwise */ -CVAPI(int) cvGraphAddEdge( CvGraph* graph, - int start_idx, int end_idx, - const CvGraphEdge* edge CV_DEFAULT(NULL), - CvGraphEdge** inserted_edge CV_DEFAULT(NULL) ); - -CVAPI(int) cvGraphAddEdgeByPtr( CvGraph* graph, - CvGraphVtx* start_vtx, CvGraphVtx* end_vtx, - const CvGraphEdge* edge CV_DEFAULT(NULL), - CvGraphEdge** inserted_edge CV_DEFAULT(NULL) ); - -/* Remove edge connecting two vertices */ -CVAPI(void) cvGraphRemoveEdge( CvGraph* graph, int start_idx, int end_idx ); -CVAPI(void) cvGraphRemoveEdgeByPtr( CvGraph* graph, CvGraphVtx* start_vtx, - CvGraphVtx* end_vtx ); - -/* Find edge connecting two vertices */ -CVAPI(CvGraphEdge*) cvFindGraphEdge( const CvGraph* graph, int start_idx, int end_idx ); -CVAPI(CvGraphEdge*) cvFindGraphEdgeByPtr( const CvGraph* graph, - const CvGraphVtx* start_vtx, - const CvGraphVtx* end_vtx ); -#define cvGraphFindEdge cvFindGraphEdge -#define cvGraphFindEdgeByPtr cvFindGraphEdgeByPtr - -/* Remove all vertices and edges from the graph */ -CVAPI(void) cvClearGraph( CvGraph* graph ); - - -/* Count number of edges incident to the vertex */ -CVAPI(int) cvGraphVtxDegree( const CvGraph* graph, int vtx_idx ); -CVAPI(int) cvGraphVtxDegreeByPtr( const CvGraph* graph, const CvGraphVtx* vtx ); - - -/* Retrieves graph vertex by given index */ -#define cvGetGraphVtx( graph, idx ) (CvGraphVtx*)cvGetSetElem((CvSet*)(graph), (idx)) - -/* Retrieves index of a graph vertex given its pointer */ -#define cvGraphVtxIdx( graph, vtx ) ((vtx)->flags & CV_SET_ELEM_IDX_MASK) - -/* Retrieves index of a graph edge given its pointer */ -#define cvGraphEdgeIdx( graph, edge ) ((edge)->flags & CV_SET_ELEM_IDX_MASK) - -#define cvGraphGetVtxCount( graph ) ((graph)->active_count) -#define cvGraphGetEdgeCount( graph ) ((graph)->edges->active_count) - -#define CV_GRAPH_VERTEX 1 -#define CV_GRAPH_TREE_EDGE 2 -#define CV_GRAPH_BACK_EDGE 4 -#define CV_GRAPH_FORWARD_EDGE 8 -#define CV_GRAPH_CROSS_EDGE 16 -#define CV_GRAPH_ANY_EDGE 30 -#define CV_GRAPH_NEW_TREE 32 -#define CV_GRAPH_BACKTRACKING 64 -#define CV_GRAPH_OVER -1 - -#define CV_GRAPH_ALL_ITEMS -1 - -/* flags for graph vertices and edges */ -#define CV_GRAPH_ITEM_VISITED_FLAG (1 << 30) -#define CV_IS_GRAPH_VERTEX_VISITED(vtx) \ - (((CvGraphVtx*)(vtx))->flags & CV_GRAPH_ITEM_VISITED_FLAG) -#define CV_IS_GRAPH_EDGE_VISITED(edge) \ - (((CvGraphEdge*)(edge))->flags & CV_GRAPH_ITEM_VISITED_FLAG) -#define CV_GRAPH_SEARCH_TREE_NODE_FLAG (1 << 29) -#define CV_GRAPH_FORWARD_EDGE_FLAG (1 << 28) - -typedef struct CvGraphScanner -{ - CvGraphVtx* vtx; /* current graph vertex (or current edge origin) */ - CvGraphVtx* dst; /* current graph edge destination vertex */ - CvGraphEdge* edge; /* current edge */ - - CvGraph* graph; /* the graph */ - CvSeq* stack; /* the graph vertex stack */ - int index; /* the lower bound of certainly visited vertices */ - int mask; /* event mask */ -} -CvGraphScanner; - -/* Creates new graph scanner. */ -CVAPI(CvGraphScanner*) cvCreateGraphScanner( CvGraph* graph, - CvGraphVtx* vtx CV_DEFAULT(NULL), - int mask CV_DEFAULT(CV_GRAPH_ALL_ITEMS)); - -/* Releases graph scanner. */ -CVAPI(void) cvReleaseGraphScanner( CvGraphScanner** scanner ); - -/* Get next graph element */ -CVAPI(int) cvNextGraphItem( CvGraphScanner* scanner ); - -/* Creates a copy of graph */ -CVAPI(CvGraph*) cvCloneGraph( const CvGraph* graph, CvMemStorage* storage ); - -/****************************************************************************************\ -* Drawing * -\****************************************************************************************/ - -/****************************************************************************************\ -* Drawing functions work with images/matrices of arbitrary type. * -* For color images the channel order is BGR[A] * -* Antialiasing is supported only for 8-bit image now. * -* All the functions include parameter color that means rgb value (that may be * -* constructed with CV_RGB macro) for color images and brightness * -* for grayscale images. * -* If a drawn figure is partially or completely outside of the image, it is clipped.* -\****************************************************************************************/ - -#define CV_RGB( r, g, b ) cvScalar( (b), (g), (r), 0 ) -#define CV_FILLED -1 - -#define CV_AA 16 - -/* Draws 4-connected, 8-connected or antialiased line segment connecting two points */ -CVAPI(void) cvLine( CvArr* img, CvPoint pt1, CvPoint pt2, - CvScalar color, int thickness CV_DEFAULT(1), - int line_type CV_DEFAULT(8), int shift CV_DEFAULT(0) ); - -/* Draws a rectangle given two opposite corners of the rectangle (pt1 & pt2), - if thickness<0 (e.g. thickness == CV_FILLED), the filled box is drawn */ -CVAPI(void) cvRectangle( CvArr* img, CvPoint pt1, CvPoint pt2, - CvScalar color, int thickness CV_DEFAULT(1), - int line_type CV_DEFAULT(8), - int shift CV_DEFAULT(0)); - -/* Draws a rectangle specified by a CvRect structure */ -CVAPI(void) cvRectangleR( CvArr* img, CvRect r, - CvScalar color, int thickness CV_DEFAULT(1), - int line_type CV_DEFAULT(8), - int shift CV_DEFAULT(0)); - - -/* Draws a circle with specified center and radius. - Thickness works in the same way as with cvRectangle */ -CVAPI(void) cvCircle( CvArr* img, CvPoint center, int radius, - CvScalar color, int thickness CV_DEFAULT(1), - int line_type CV_DEFAULT(8), int shift CV_DEFAULT(0)); - -/* Draws ellipse outline, filled ellipse, elliptic arc or filled elliptic sector, - depending on , and parameters. The resultant figure - is rotated by . All the angles are in degrees */ -CVAPI(void) cvEllipse( CvArr* img, CvPoint center, CvSize axes, - double angle, double start_angle, double end_angle, - CvScalar color, int thickness CV_DEFAULT(1), - int line_type CV_DEFAULT(8), int shift CV_DEFAULT(0)); - -CV_INLINE void cvEllipseBox( CvArr* img, CvBox2D box, CvScalar color, - int thickness CV_DEFAULT(1), - int line_type CV_DEFAULT(8), int shift CV_DEFAULT(0) ) -{ - CvSize axes; - axes.width = cvRound(box.size.width*0.5); - axes.height = cvRound(box.size.height*0.5); - - cvEllipse( img, cvPointFrom32f( box.center ), axes, box.angle, - 0, 360, color, thickness, line_type, shift ); -} - -/* Fills convex or monotonous polygon. */ -CVAPI(void) cvFillConvexPoly( CvArr* img, const CvPoint* pts, int npts, CvScalar color, - int line_type CV_DEFAULT(8), int shift CV_DEFAULT(0)); - -/* Fills an area bounded by one or more arbitrary polygons */ -CVAPI(void) cvFillPoly( CvArr* img, CvPoint** pts, const int* npts, - int contours, CvScalar color, - int line_type CV_DEFAULT(8), int shift CV_DEFAULT(0) ); - -/* Draws one or more polygonal curves */ -CVAPI(void) cvPolyLine( CvArr* img, CvPoint** pts, const int* npts, int contours, - int is_closed, CvScalar color, int thickness CV_DEFAULT(1), - int line_type CV_DEFAULT(8), int shift CV_DEFAULT(0) ); - -#define cvDrawRect cvRectangle -#define cvDrawLine cvLine -#define cvDrawCircle cvCircle -#define cvDrawEllipse cvEllipse -#define cvDrawPolyLine cvPolyLine - -/* Clips the line segment connecting *pt1 and *pt2 - by the rectangular window - (0<=xptr will point - to pt1 (or pt2, see left_to_right description) location in the image. - Returns the number of pixels on the line between the ending points. */ -CVAPI(int) cvInitLineIterator( const CvArr* image, CvPoint pt1, CvPoint pt2, - CvLineIterator* line_iterator, - int connectivity CV_DEFAULT(8), - int left_to_right CV_DEFAULT(0)); - -/* Moves iterator to the next line point */ -#define CV_NEXT_LINE_POINT( line_iterator ) \ -{ \ - int _line_iterator_mask = (line_iterator).err < 0 ? -1 : 0; \ - (line_iterator).err += (line_iterator).minus_delta + \ - ((line_iterator).plus_delta & _line_iterator_mask); \ - (line_iterator).ptr += (line_iterator).minus_step + \ - ((line_iterator).plus_step & _line_iterator_mask); \ -} - - -/* basic font types */ -#define CV_FONT_HERSHEY_SIMPLEX 0 -#define CV_FONT_HERSHEY_PLAIN 1 -#define CV_FONT_HERSHEY_DUPLEX 2 -#define CV_FONT_HERSHEY_COMPLEX 3 -#define CV_FONT_HERSHEY_TRIPLEX 4 -#define CV_FONT_HERSHEY_COMPLEX_SMALL 5 -#define CV_FONT_HERSHEY_SCRIPT_SIMPLEX 6 -#define CV_FONT_HERSHEY_SCRIPT_COMPLEX 7 - -/* font flags */ -#define CV_FONT_ITALIC 16 - -#define CV_FONT_VECTOR0 CV_FONT_HERSHEY_SIMPLEX - - -/* Font structure */ -typedef struct CvFont -{ - const char* nameFont; //Qt:nameFont - CvScalar color; //Qt:ColorFont -> cvScalar(blue_component, green_component, red\_component[, alpha_component]) - int font_face; //Qt: bool italic /* =CV_FONT_* */ - const int* ascii; /* font data and metrics */ - const int* greek; - const int* cyrillic; - float hscale, vscale; - float shear; /* slope coefficient: 0 - normal, >0 - italic */ - int thickness; //Qt: weight /* letters thickness */ - float dx; /* horizontal interval between letters */ - int line_type; //Qt: PointSize -} -CvFont; - -/* Initializes font structure used further in cvPutText */ -CVAPI(void) cvInitFont( CvFont* font, int font_face, - double hscale, double vscale, - double shear CV_DEFAULT(0), - int thickness CV_DEFAULT(1), - int line_type CV_DEFAULT(8)); - -CV_INLINE CvFont cvFont( double scale, int thickness CV_DEFAULT(1) ) -{ - CvFont font; - cvInitFont( &font, CV_FONT_HERSHEY_PLAIN, scale, scale, 0, thickness, CV_AA ); - return font; -} - -/* Renders text stroke with specified font and color at specified location. - CvFont should be initialized with cvInitFont */ -CVAPI(void) cvPutText( CvArr* img, const char* text, CvPoint org, - const CvFont* font, CvScalar color ); - -/* Calculates bounding box of text stroke (useful for alignment) */ -CVAPI(void) cvGetTextSize( const char* text_string, const CvFont* font, - CvSize* text_size, int* baseline ); - - - -/* Unpacks color value, if arrtype is CV_8UC?, is treated as - packed color value, otherwise the first channels (depending on arrtype) - of destination scalar are set to the same value = */ -CVAPI(CvScalar) cvColorToScalar( double packed_color, int arrtype ); - -/* Returns the polygon points which make up the given ellipse. The ellipse is define by - the box of size 'axes' rotated 'angle' around the 'center'. A partial sweep - of the ellipse arc can be done by spcifying arc_start and arc_end to be something - other than 0 and 360, respectively. The input array 'pts' must be large enough to - hold the result. The total number of points stored into 'pts' is returned by this - function. */ -CVAPI(int) cvEllipse2Poly( CvPoint center, CvSize axes, - int angle, int arc_start, int arc_end, CvPoint * pts, int delta ); - -/* Draws contour outlines or filled interiors on the image */ -CVAPI(void) cvDrawContours( CvArr *img, CvSeq* contour, - CvScalar external_color, CvScalar hole_color, - int max_level, int thickness CV_DEFAULT(1), - int line_type CV_DEFAULT(8), - CvPoint offset CV_DEFAULT(cvPoint(0,0))); - -/* Does look-up transformation. Elements of the source array - (that should be 8uC1 or 8sC1) are used as indexes in lutarr 256-element table */ -CVAPI(void) cvLUT( const CvArr* src, CvArr* dst, const CvArr* lut ); - - -/******************* Iteration through the sequence tree *****************/ -typedef struct CvTreeNodeIterator -{ - const void* node; - int level; - int max_level; -} -CvTreeNodeIterator; - -CVAPI(void) cvInitTreeNodeIterator( CvTreeNodeIterator* tree_iterator, - const void* first, int max_level ); -CVAPI(void*) cvNextTreeNode( CvTreeNodeIterator* tree_iterator ); -CVAPI(void*) cvPrevTreeNode( CvTreeNodeIterator* tree_iterator ); - -/* Inserts sequence into tree with specified "parent" sequence. - If parent is equal to frame (e.g. the most external contour), - then added contour will have null pointer to parent. */ -CVAPI(void) cvInsertNodeIntoTree( void* node, void* parent, void* frame ); - -/* Removes contour from tree (together with the contour children). */ -CVAPI(void) cvRemoveNodeFromTree( void* node, void* frame ); - -/* Gathers pointers to all the sequences, - accessible from the , to the single sequence */ -CVAPI(CvSeq*) cvTreeToNodeSeq( const void* first, int header_size, - CvMemStorage* storage ); - -/* The function implements the K-means algorithm for clustering an array of sample - vectors in a specified number of classes */ -#define CV_KMEANS_USE_INITIAL_LABELS 1 -CVAPI(int) cvKMeans2( const CvArr* samples, int cluster_count, CvArr* labels, - CvTermCriteria termcrit, int attempts CV_DEFAULT(1), - CvRNG* rng CV_DEFAULT(0), int flags CV_DEFAULT(0), - CvArr* _centers CV_DEFAULT(0), double* compactness CV_DEFAULT(0) ); - -/****************************************************************************************\ -* System functions * -\****************************************************************************************/ - -/* Add the function pointers table with associated information to the IPP primitives list */ -CVAPI(int) cvRegisterModule( const CvModuleInfo* module_info ); - -/* Loads optimized functions from IPP, MKL etc. or switches back to pure C code */ -CVAPI(int) cvUseOptimized( int on_off ); - -/* Retrieves information about the registered modules and loaded optimized plugins */ -CVAPI(void) cvGetModuleInfo( const char* module_name, - const char** version, - const char** loaded_addon_plugins ); - -typedef void* (CV_CDECL *CvAllocFunc)(size_t size, void* userdata); -typedef int (CV_CDECL *CvFreeFunc)(void* pptr, void* userdata); - -/* Set user-defined memory managment functions (substitutors for malloc and free) that - will be called by cvAlloc, cvFree and higher-level functions (e.g. cvCreateImage) */ -CVAPI(void) cvSetMemoryManager( CvAllocFunc alloc_func CV_DEFAULT(NULL), - CvFreeFunc free_func CV_DEFAULT(NULL), - void* userdata CV_DEFAULT(NULL)); - - -typedef IplImage* (CV_STDCALL* Cv_iplCreateImageHeader) - (int,int,int,char*,char*,int,int,int,int,int, - IplROI*,IplImage*,void*,IplTileInfo*); -typedef void (CV_STDCALL* Cv_iplAllocateImageData)(IplImage*,int,int); -typedef void (CV_STDCALL* Cv_iplDeallocate)(IplImage*,int); -typedef IplROI* (CV_STDCALL* Cv_iplCreateROI)(int,int,int,int,int); -typedef IplImage* (CV_STDCALL* Cv_iplCloneImage)(const IplImage*); - -/* Makes OpenCV use IPL functions for IplImage allocation/deallocation */ -CVAPI(void) cvSetIPLAllocators( Cv_iplCreateImageHeader create_header, - Cv_iplAllocateImageData allocate_data, - Cv_iplDeallocate deallocate, - Cv_iplCreateROI create_roi, - Cv_iplCloneImage clone_image ); - -#define CV_TURN_ON_IPL_COMPATIBILITY() \ - cvSetIPLAllocators( iplCreateImageHeader, iplAllocateImage, \ - iplDeallocate, iplCreateROI, iplCloneImage ) - -/****************************************************************************************\ -* Data Persistence * -\****************************************************************************************/ - -/********************************** High-level functions ********************************/ - -/* opens existing or creates new file storage */ -CVAPI(CvFileStorage*) cvOpenFileStorage( const char* filename, CvMemStorage* memstorage, - int flags, const char* encoding CV_DEFAULT(NULL) ); - -/* closes file storage and deallocates buffers */ -CVAPI(void) cvReleaseFileStorage( CvFileStorage** fs ); - -/* returns attribute value or 0 (NULL) if there is no such attribute */ -CVAPI(const char*) cvAttrValue( const CvAttrList* attr, const char* attr_name ); - -/* starts writing compound structure (map or sequence) */ -CVAPI(void) cvStartWriteStruct( CvFileStorage* fs, const char* name, - int struct_flags, const char* type_name CV_DEFAULT(NULL), - CvAttrList attributes CV_DEFAULT(cvAttrList())); - -/* finishes writing compound structure */ -CVAPI(void) cvEndWriteStruct( CvFileStorage* fs ); - -/* writes an integer */ -CVAPI(void) cvWriteInt( CvFileStorage* fs, const char* name, int value ); - -/* writes a floating-point number */ -CVAPI(void) cvWriteReal( CvFileStorage* fs, const char* name, double value ); - -/* writes a string */ -CVAPI(void) cvWriteString( CvFileStorage* fs, const char* name, - const char* str, int quote CV_DEFAULT(0) ); - -/* writes a comment */ -CVAPI(void) cvWriteComment( CvFileStorage* fs, const char* comment, - int eol_comment ); - -/* writes instance of a standard type (matrix, image, sequence, graph etc.) - or user-defined type */ -CVAPI(void) cvWrite( CvFileStorage* fs, const char* name, const void* ptr, - CvAttrList attributes CV_DEFAULT(cvAttrList())); - -/* starts the next stream */ -CVAPI(void) cvStartNextStream( CvFileStorage* fs ); - -/* helper function: writes multiple integer or floating-point numbers */ -CVAPI(void) cvWriteRawData( CvFileStorage* fs, const void* src, - int len, const char* dt ); - -/* returns the hash entry corresponding to the specified literal key string or 0 - if there is no such a key in the storage */ -CVAPI(CvStringHashNode*) cvGetHashedKey( CvFileStorage* fs, const char* name, - int len CV_DEFAULT(-1), - int create_missing CV_DEFAULT(0)); - -/* returns file node with the specified key within the specified map - (collection of named nodes) */ -CVAPI(CvFileNode*) cvGetRootFileNode( const CvFileStorage* fs, - int stream_index CV_DEFAULT(0) ); - -/* returns file node with the specified key within the specified map - (collection of named nodes) */ -CVAPI(CvFileNode*) cvGetFileNode( CvFileStorage* fs, CvFileNode* map, - const CvStringHashNode* key, - int create_missing CV_DEFAULT(0) ); - -/* this is a slower version of cvGetFileNode that takes the key as a literal string */ -CVAPI(CvFileNode*) cvGetFileNodeByName( const CvFileStorage* fs, - const CvFileNode* map, - const char* name ); - -CV_INLINE int cvReadInt( const CvFileNode* node, int default_value CV_DEFAULT(0) ) -{ - return !node ? default_value : - CV_NODE_IS_INT(node->tag) ? node->data.i : - CV_NODE_IS_REAL(node->tag) ? cvRound(node->data.f) : 0x7fffffff; -} - - -CV_INLINE int cvReadIntByName( const CvFileStorage* fs, const CvFileNode* map, - const char* name, int default_value CV_DEFAULT(0) ) -{ - return cvReadInt( cvGetFileNodeByName( fs, map, name ), default_value ); -} - - -CV_INLINE double cvReadReal( const CvFileNode* node, double default_value CV_DEFAULT(0.) ) -{ - return !node ? default_value : - CV_NODE_IS_INT(node->tag) ? (double)node->data.i : - CV_NODE_IS_REAL(node->tag) ? node->data.f : 1e300; -} - - -CV_INLINE double cvReadRealByName( const CvFileStorage* fs, const CvFileNode* map, - const char* name, double default_value CV_DEFAULT(0.) ) -{ - return cvReadReal( cvGetFileNodeByName( fs, map, name ), default_value ); -} - - -CV_INLINE const char* cvReadString( const CvFileNode* node, - const char* default_value CV_DEFAULT(NULL) ) -{ - return !node ? default_value : CV_NODE_IS_STRING(node->tag) ? node->data.str.ptr : 0; -} - - -CV_INLINE const char* cvReadStringByName( const CvFileStorage* fs, const CvFileNode* map, - const char* name, const char* default_value CV_DEFAULT(NULL) ) -{ - return cvReadString( cvGetFileNodeByName( fs, map, name ), default_value ); -} - - -/* decodes standard or user-defined object and returns it */ -CVAPI(void*) cvRead( CvFileStorage* fs, CvFileNode* node, - CvAttrList* attributes CV_DEFAULT(NULL)); - -/* decodes standard or user-defined object and returns it */ -CV_INLINE void* cvReadByName( CvFileStorage* fs, const CvFileNode* map, - const char* name, CvAttrList* attributes CV_DEFAULT(NULL) ) -{ - return cvRead( fs, cvGetFileNodeByName( fs, map, name ), attributes ); -} - - -/* starts reading data from sequence or scalar numeric node */ -CVAPI(void) cvStartReadRawData( const CvFileStorage* fs, const CvFileNode* src, - CvSeqReader* reader ); - -/* reads multiple numbers and stores them to array */ -CVAPI(void) cvReadRawDataSlice( const CvFileStorage* fs, CvSeqReader* reader, - int count, void* dst, const char* dt ); - -/* combination of two previous functions for easier reading of whole sequences */ -CVAPI(void) cvReadRawData( const CvFileStorage* fs, const CvFileNode* src, - void* dst, const char* dt ); - -/* writes a copy of file node to file storage */ -CVAPI(void) cvWriteFileNode( CvFileStorage* fs, const char* new_node_name, - const CvFileNode* node, int embed ); - -/* returns name of file node */ -CVAPI(const char*) cvGetFileNodeName( const CvFileNode* node ); - -/*********************************** Adding own types ***********************************/ - -CVAPI(void) cvRegisterType( const CvTypeInfo* info ); -CVAPI(void) cvUnregisterType( const char* type_name ); -CVAPI(CvTypeInfo*) cvFirstType(void); -CVAPI(CvTypeInfo*) cvFindType( const char* type_name ); -CVAPI(CvTypeInfo*) cvTypeOf( const void* struct_ptr ); - -/* universal functions */ -CVAPI(void) cvRelease( void** struct_ptr ); -CVAPI(void*) cvClone( const void* struct_ptr ); - -/* simple API for reading/writing data */ -CVAPI(void) cvSave( const char* filename, const void* struct_ptr, - const char* name CV_DEFAULT(NULL), - const char* comment CV_DEFAULT(NULL), - CvAttrList attributes CV_DEFAULT(cvAttrList())); -CVAPI(void*) cvLoad( const char* filename, - CvMemStorage* memstorage CV_DEFAULT(NULL), - const char* name CV_DEFAULT(NULL), - const char** real_name CV_DEFAULT(NULL) ); - -/*********************************** Measuring Execution Time ***************************/ - -/* helper functions for RNG initialization and accurate time measurement: - uses internal clock counter on x86 */ -CVAPI(int64) cvGetTickCount( void ); -CVAPI(double) cvGetTickFrequency( void ); - -/*********************************** CPU capabilities ***********************************/ - -#define CV_CPU_NONE 0 -#define CV_CPU_MMX 1 -#define CV_CPU_SSE 2 -#define CV_CPU_SSE2 3 -#define CV_CPU_SSE3 4 -#define CV_CPU_SSSE3 5 -#define CV_CPU_SSE4_1 6 -#define CV_CPU_SSE4_2 7 -#define CV_CPU_POPCNT 8 -#define CV_CPU_AVX 10 -#define CV_CPU_AVX2 11 -#define CV_HARDWARE_MAX_FEATURE 255 - -CVAPI(int) cvCheckHardwareSupport(int feature); - -/*********************************** Multi-Threading ************************************/ - -/* retrieve/set the number of threads used in OpenMP implementations */ -CVAPI(int) cvGetNumThreads( void ); -CVAPI(void) cvSetNumThreads( int threads CV_DEFAULT(0) ); -/* get index of the thread being executed */ -CVAPI(int) cvGetThreadNum( void ); - - -/********************************** Error Handling **************************************/ - -/* Get current OpenCV error status */ -CVAPI(int) cvGetErrStatus( void ); - -/* Sets error status silently */ -CVAPI(void) cvSetErrStatus( int status ); - -#define CV_ErrModeLeaf 0 /* Print error and exit program */ -#define CV_ErrModeParent 1 /* Print error and continue */ -#define CV_ErrModeSilent 2 /* Don't print and continue */ - -/* Retrives current error processing mode */ -CVAPI(int) cvGetErrMode( void ); - -/* Sets error processing mode, returns previously used mode */ -CVAPI(int) cvSetErrMode( int mode ); - -/* Sets error status and performs some additonal actions (displaying message box, - writing message to stderr, terminating application etc.) - depending on the current error mode */ -CVAPI(void) cvError( int status, const char* func_name, - const char* err_msg, const char* file_name, int line ); - -/* Retrieves textual description of the error given its code */ -CVAPI(const char*) cvErrorStr( int status ); - -/* Retrieves detailed information about the last error occured */ -CVAPI(int) cvGetErrInfo( const char** errcode_desc, const char** description, - const char** filename, int* line ); - -/* Maps IPP error codes to the counterparts from OpenCV */ -CVAPI(int) cvErrorFromIppStatus( int ipp_status ); - -typedef int (CV_CDECL *CvErrorCallback)( int status, const char* func_name, - const char* err_msg, const char* file_name, int line, void* userdata ); - -/* Assigns a new error-handling function */ -CVAPI(CvErrorCallback) cvRedirectError( CvErrorCallback error_handler, - void* userdata CV_DEFAULT(NULL), - void** prev_userdata CV_DEFAULT(NULL) ); - -/* - Output to: - cvNulDevReport - nothing - cvStdErrReport - console(fprintf(stderr,...)) - cvGuiBoxReport - MessageBox(WIN32) - */ -CVAPI(int) cvNulDevReport( int status, const char* func_name, const char* err_msg, - const char* file_name, int line, void* userdata ); - -CVAPI(int) cvStdErrReport( int status, const char* func_name, const char* err_msg, - const char* file_name, int line, void* userdata ); - -CVAPI(int) cvGuiBoxReport( int status, const char* func_name, const char* err_msg, - const char* file_name, int line, void* userdata ); - -#define OPENCV_ERROR(status,func,context) \ -cvError((status),(func),(context),__FILE__,__LINE__) - -#define OPENCV_ERRCHK(func,context) \ -{if (cvGetErrStatus() >= 0) \ -{OPENCV_ERROR(CV_StsBackTrace,(func),(context));}} - -#define OPENCV_ASSERT(expr,func,context) \ -{if (! (expr)) \ -{OPENCV_ERROR(CV_StsInternal,(func),(context));}} - -#define OPENCV_RSTERR() (cvSetErrStatus(CV_StsOk)) - -#define OPENCV_CALL( Func ) \ -{ \ -Func; \ -} - - -/* CV_FUNCNAME macro defines icvFuncName constant which is used by CV_ERROR macro */ -#ifdef CV_NO_FUNC_NAMES -#define CV_FUNCNAME( Name ) -#define cvFuncName "" -#else -#define CV_FUNCNAME( Name ) \ -static char cvFuncName[] = Name -#endif - - -/* - CV_ERROR macro unconditionally raises error with passed code and message. - After raising error, control will be transferred to the exit label. - */ -#define CV_ERROR( Code, Msg ) \ -{ \ - cvError( (Code), cvFuncName, Msg, __FILE__, __LINE__ ); \ - __CV_EXIT__; \ -} - -/* Simplified form of CV_ERROR */ -#define CV_ERROR_FROM_CODE( code ) \ - CV_ERROR( code, "" ) - -/* - CV_CHECK macro checks error status after CV (or IPL) - function call. If error detected, control will be transferred to the exit - label. - */ -#define CV_CHECK() \ -{ \ - if( cvGetErrStatus() < 0 ) \ - CV_ERROR( CV_StsBackTrace, "Inner function failed." ); \ -} - - -/* - CV_CALL macro calls CV (or IPL) function, checks error status and - signals a error if the function failed. Useful in "parent node" - error procesing mode - */ -#define CV_CALL( Func ) \ -{ \ - Func; \ - CV_CHECK(); \ -} - - -/* Runtime assertion macro */ -#define CV_ASSERT( Condition ) \ -{ \ - if( !(Condition) ) \ - CV_ERROR( CV_StsInternal, "Assertion: " #Condition " failed" ); \ -} - -#define __CV_BEGIN__ { -#define __CV_END__ goto exit; exit: ; } -#define __CV_EXIT__ goto exit - -#ifdef __cplusplus -} - -// classes for automatic module/RTTI data registration/unregistration -struct CV_EXPORTS CvModule -{ - CvModule( CvModuleInfo* _info ); - ~CvModule(); - CvModuleInfo* info; - - static CvModuleInfo* first; - static CvModuleInfo* last; -}; - -struct CV_EXPORTS CvType -{ - CvType( const char* type_name, - CvIsInstanceFunc is_instance, CvReleaseFunc release=0, - CvReadFunc read=0, CvWriteFunc write=0, CvCloneFunc clone=0 ); - ~CvType(); - CvTypeInfo* info; - - static CvTypeInfo* first; - static CvTypeInfo* last; -}; - -#endif - -#endif diff --git a/phonelibs/opencv/include/opencv2/core/cuda_devptrs.hpp b/phonelibs/opencv/include/opencv2/core/cuda_devptrs.hpp deleted file mode 100644 index d54a32876f..0000000000 --- a/phonelibs/opencv/include/opencv2/core/cuda_devptrs.hpp +++ /dev/null @@ -1,194 +0,0 @@ -/*M/////////////////////////////////////////////////////////////////////////////////////// -// -// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING. -// -// By downloading, copying, installing or using the software you agree to this license. -// If you do not agree to this license, do not download, install, -// copy or use the software. -// -// -// License Agreement -// For Open Source Computer Vision Library -// -// Copyright (C) 2000-2008, Intel Corporation, all rights reserved. -// Copyright (C) 2009, Willow Garage Inc., all rights reserved. -// Third party copyrights are property of their respective owners. -// -// Redistribution and use in source and binary forms, with or without modification, -// are permitted provided that the following conditions are met: -// -// * Redistribution's of source code must retain the above copyright notice, -// this list of conditions and the following disclaimer. -// -// * Redistribution's in binary form must reproduce the above copyright notice, -// this list of conditions and the following disclaimer in the documentation -// and/or other materials provided with the distribution. -// -// * The name of the copyright holders may not be used to endorse or promote products -// derived from this software without specific prior written permission. -// -// This software is provided by the copyright holders and contributors "as is" and -// any express or implied warranties, including, but not limited to, the implied -// warranties of merchantability and fitness for a particular purpose are disclaimed. -// In no event shall the Intel Corporation or contributors be liable for any direct, -// indirect, incidental, special, exemplary, or consequential damages -// (including, but not limited to, procurement of substitute goods or services; -// loss of use, data, or profits; or business interruption) however caused -// and on any theory of liability, whether in contract, strict liability, -// or tort (including negligence or otherwise) arising in any way out of -// the use of this software, even if advised of the possibility of such damage. -// -//M*/ - -#ifndef __OPENCV_CORE_DEVPTRS_HPP__ -#define __OPENCV_CORE_DEVPTRS_HPP__ - -#ifdef __cplusplus - -#ifdef __CUDACC__ - #define __CV_GPU_HOST_DEVICE__ __host__ __device__ __forceinline__ -#else - #define __CV_GPU_HOST_DEVICE__ -#endif - -namespace cv -{ - namespace gpu - { - // Simple lightweight structures that encapsulates information about an image on device. - // It is intended to pass to nvcc-compiled code. GpuMat depends on headers that nvcc can't compile - - template struct StaticAssert; - template <> struct StaticAssert {static __CV_GPU_HOST_DEVICE__ void check(){}}; - - template struct DevPtr - { - typedef T elem_type; - typedef int index_type; - - enum { elem_size = sizeof(elem_type) }; - - T* data; - - __CV_GPU_HOST_DEVICE__ DevPtr() : data(0) {} - __CV_GPU_HOST_DEVICE__ DevPtr(T* data_) : data(data_) {} - - __CV_GPU_HOST_DEVICE__ size_t elemSize() const { return elem_size; } - __CV_GPU_HOST_DEVICE__ operator T*() { return data; } - __CV_GPU_HOST_DEVICE__ operator const T*() const { return data; } - }; - - template struct PtrSz : public DevPtr - { - __CV_GPU_HOST_DEVICE__ PtrSz() : size(0) {} - __CV_GPU_HOST_DEVICE__ PtrSz(T* data_, size_t size_) : DevPtr(data_), size(size_) {} - - size_t size; - }; - - template struct PtrStep : public DevPtr - { - __CV_GPU_HOST_DEVICE__ PtrStep() : step(0) {} - __CV_GPU_HOST_DEVICE__ PtrStep(T* data_, size_t step_) : DevPtr(data_), step(step_) {} - - /** \brief stride between two consecutive rows in bytes. Step is stored always and everywhere in bytes!!! */ - size_t step; - - __CV_GPU_HOST_DEVICE__ T* ptr(int y = 0) { return ( T*)( ( char*)DevPtr::data + y * step); } - __CV_GPU_HOST_DEVICE__ const T* ptr(int y = 0) const { return (const T*)( (const char*)DevPtr::data + y * step); } - - __CV_GPU_HOST_DEVICE__ T& operator ()(int y, int x) { return ptr(y)[x]; } - __CV_GPU_HOST_DEVICE__ const T& operator ()(int y, int x) const { return ptr(y)[x]; } - }; - - template struct PtrStepSz : public PtrStep - { - __CV_GPU_HOST_DEVICE__ PtrStepSz() : cols(0), rows(0) {} - __CV_GPU_HOST_DEVICE__ PtrStepSz(int rows_, int cols_, T* data_, size_t step_) - : PtrStep(data_, step_), cols(cols_), rows(rows_) {} - - template - explicit PtrStepSz(const PtrStepSz& d) : PtrStep((T*)d.data, d.step), cols(d.cols), rows(d.rows){} - - int cols; - int rows; - }; - - typedef PtrStepSz PtrStepSzb; - typedef PtrStepSz PtrStepSzf; - typedef PtrStepSz PtrStepSzi; - - typedef PtrStep PtrStepb; - typedef PtrStep PtrStepf; - typedef PtrStep PtrStepi; - -#if defined __GNUC__ - #define CV_GPU_DEPRECATED __attribute__ ((deprecated)) -#elif defined(__MSVC__) //|| defined(__CUDACC__) - #pragma deprecated(DevMem2D_) - #define CV_GPU_DEPRECATED __declspec(deprecated) -#else - #define CV_GPU_DEPRECATED -#endif - - template struct DevMem2D_ : public PtrStepSz - { - CV_GPU_DEPRECATED DevMem2D_() {} - CV_GPU_DEPRECATED DevMem2D_(int rows_, int cols_, T* data_, size_t step_) : PtrStepSz(rows_, cols_, data_, step_) {} - - template - explicit CV_GPU_DEPRECATED DevMem2D_(const DevMem2D_& d) : PtrStepSz(d.rows, d.cols, (T*)d.data, d.step) {} - }; - - typedef DevMem2D_ DevMem2Db; - typedef DevMem2Db DevMem2D; - typedef DevMem2D_ DevMem2Df; - typedef DevMem2D_ DevMem2Di; - - template struct PtrElemStep_ : public PtrStep - { - PtrElemStep_(const DevMem2D_& mem) : PtrStep(mem.data, mem.step) - { - StaticAssert<256 % sizeof(T) == 0>::check(); - - PtrStep::step /= PtrStep::elem_size; - } - __CV_GPU_HOST_DEVICE__ T* ptr(int y = 0) { return PtrStep::data + y * PtrStep::step; } - __CV_GPU_HOST_DEVICE__ const T* ptr(int y = 0) const { return PtrStep::data + y * PtrStep::step; } - - __CV_GPU_HOST_DEVICE__ T& operator ()(int y, int x) { return ptr(y)[x]; } - __CV_GPU_HOST_DEVICE__ const T& operator ()(int y, int x) const { return ptr(y)[x]; } - }; - - template struct PtrStep_ : public PtrStep - { - PtrStep_() {} - PtrStep_(const DevMem2D_& mem) : PtrStep(mem.data, mem.step) {} - }; - - typedef PtrElemStep_ PtrElemStep; - typedef PtrElemStep_ PtrElemStepf; - typedef PtrElemStep_ PtrElemStepi; - -//#undef CV_GPU_DEPRECATED - - namespace device - { - using cv::gpu::PtrSz; - using cv::gpu::PtrStep; - using cv::gpu::PtrStepSz; - - using cv::gpu::PtrStepSzb; - using cv::gpu::PtrStepSzf; - using cv::gpu::PtrStepSzi; - - using cv::gpu::PtrStepb; - using cv::gpu::PtrStepf; - using cv::gpu::PtrStepi; - } - } -} - -#endif // __cplusplus - -#endif /* __OPENCV_CORE_DEVPTRS_HPP__ */ diff --git a/phonelibs/opencv/include/opencv2/core/devmem2d.hpp b/phonelibs/opencv/include/opencv2/core/devmem2d.hpp deleted file mode 100644 index 18dfcd8acb..0000000000 --- a/phonelibs/opencv/include/opencv2/core/devmem2d.hpp +++ /dev/null @@ -1,43 +0,0 @@ -/*M/////////////////////////////////////////////////////////////////////////////////////// -// -// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING. -// -// By downloading, copying, installing or using the software you agree to this license. -// If you do not agree to this license, do not download, install, -// copy or use the software. -// -// -// License Agreement -// For Open Source Computer Vision Library -// -// Copyright (C) 2000-2008, Intel Corporation, all rights reserved. -// Copyright (C) 2009, Willow Garage Inc., all rights reserved. -// Third party copyrights are property of their respective owners. -// -// Redistribution and use in source and binary forms, with or without modification, -// are permitted provided that the following conditions are met: -// -// * Redistribution's of source code must retain the above copyright notice, -// this list of conditions and the following disclaimer. -// -// * Redistribution's in binary form must reproduce the above copyright notice, -// this list of conditions and the following disclaimer in the documentation -// and/or other materials provided with the distribution. -// -// * The name of the copyright holders may not be used to endorse or promote products -// derived from this software without specific prior written permission. -// -// This software is provided by the copyright holders and contributors "as is" and -// any express or implied warranties, including, but not limited to, the implied -// warranties of merchantability and fitness for a particular purpose are disclaimed. -// In no event shall the Intel Corporation or contributors be liable for any direct, -// indirect, incidental, special, exemplary, or consequential damages -// (including, but not limited to, procurement of substitute goods or services; -// loss of use, data, or profits; or business interruption) however caused -// and on any theory of liability, whether in contract, strict liability, -// or tort (including negligence or otherwise) arising in any way out of -// the use of this software, even if advised of the possibility of such damage. -// -//M*/ - -#include "opencv2/core/cuda_devptrs.hpp" diff --git a/phonelibs/opencv/include/opencv2/core/eigen.hpp b/phonelibs/opencv/include/opencv2/core/eigen.hpp deleted file mode 100644 index a7b237f96d..0000000000 --- a/phonelibs/opencv/include/opencv2/core/eigen.hpp +++ /dev/null @@ -1,280 +0,0 @@ -/*M/////////////////////////////////////////////////////////////////////////////////////// -// -// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING. -// -// By downloading, copying, installing or using the software you agree to this license. -// If you do not agree to this license, do not download, install, -// copy or use the software. -// -// -// License Agreement -// For Open Source Computer Vision Library -// -// Copyright (C) 2000-2008, Intel Corporation, all rights reserved. -// Copyright (C) 2009, Willow Garage Inc., all rights reserved. -// Third party copyrights are property of their respective owners. -// -// Redistribution and use in source and binary forms, with or without modification, -// are permitted provided that the following conditions are met: -// -// * Redistribution's of source code must retain the above copyright notice, -// this list of conditions and the following disclaimer. -// -// * Redistribution's in binary form must reproduce the above copyright notice, -// this list of conditions and the following disclaimer in the documentation -// and/or other materials provided with the distribution. -// -// * The name of the copyright holders may not be used to endorse or promote products -// derived from this software without specific prior written permission. -// -// This software is provided by the copyright holders and contributors "as is" and -// any express or implied warranties, including, but not limited to, the implied -// warranties of merchantability and fitness for a particular purpose are disclaimed. -// In no event shall the Intel Corporation or contributors be liable for any direct, -// indirect, incidental, special, exemplary, or consequential damages -// (including, but not limited to, procurement of substitute goods or services; -// loss of use, data, or profits; or business interruption) however caused -// and on any theory of liability, whether in contract, strict liability, -// or tort (including negligence or otherwise) arising in any way out of -// the use of this software, even if advised of the possibility of such damage. -// -//M*/ - -#ifndef __OPENCV_CORE_EIGEN_HPP__ -#define __OPENCV_CORE_EIGEN_HPP__ - -#ifdef __cplusplus - -#include "opencv2/core/core_c.h" -#include "opencv2/core/core.hpp" - -#if defined _MSC_VER && _MSC_VER >= 1200 -#pragma warning( disable: 4714 ) //__forceinline is not inlined -#pragma warning( disable: 4127 ) //conditional expression is constant -#pragma warning( disable: 4244 ) //conversion from '__int64' to 'int', possible loss of data -#endif - -namespace cv -{ - -template -void eigen2cv( const Eigen::Matrix<_Tp, _rows, _cols, _options, _maxRows, _maxCols>& src, Mat& dst ) -{ - if( !(src.Flags & Eigen::RowMajorBit) ) - { - Mat _src(src.cols(), src.rows(), DataType<_Tp>::type, - (void*)src.data(), src.stride()*sizeof(_Tp)); - transpose(_src, dst); - } - else - { - Mat _src(src.rows(), src.cols(), DataType<_Tp>::type, - (void*)src.data(), src.stride()*sizeof(_Tp)); - _src.copyTo(dst); - } -} - -template -void cv2eigen( const Mat& src, - Eigen::Matrix<_Tp, _rows, _cols, _options, _maxRows, _maxCols>& dst ) -{ - CV_DbgAssert(src.rows == _rows && src.cols == _cols); - if( !(dst.Flags & Eigen::RowMajorBit) ) - { - Mat _dst(src.cols, src.rows, DataType<_Tp>::type, - dst.data(), (size_t)(dst.stride()*sizeof(_Tp))); - if( src.type() == _dst.type() ) - transpose(src, _dst); - else if( src.cols == src.rows ) - { - src.convertTo(_dst, _dst.type()); - transpose(_dst, _dst); - } - else - Mat(src.t()).convertTo(_dst, _dst.type()); - CV_DbgAssert(_dst.data == (uchar*)dst.data()); - } - else - { - Mat _dst(src.rows, src.cols, DataType<_Tp>::type, - dst.data(), (size_t)(dst.stride()*sizeof(_Tp))); - src.convertTo(_dst, _dst.type()); - CV_DbgAssert(_dst.data == (uchar*)dst.data()); - } -} - -// Matx case -template -void cv2eigen( const Matx<_Tp, _rows, _cols>& src, - Eigen::Matrix<_Tp, _rows, _cols, _options, _maxRows, _maxCols>& dst ) -{ - if( !(dst.Flags & Eigen::RowMajorBit) ) - { - Mat _dst(_cols, _rows, DataType<_Tp>::type, - dst.data(), (size_t)(dst.stride()*sizeof(_Tp))); - transpose(src, _dst); - CV_DbgAssert(_dst.data == (uchar*)dst.data()); - } - else - { - Mat _dst(_rows, _cols, DataType<_Tp>::type, - dst.data(), (size_t)(dst.stride()*sizeof(_Tp))); - Mat(src).copyTo(_dst); - CV_DbgAssert(_dst.data == (uchar*)dst.data()); - } -} - -template -void cv2eigen( const Mat& src, - Eigen::Matrix<_Tp, Eigen::Dynamic, Eigen::Dynamic>& dst ) -{ - dst.resize(src.rows, src.cols); - if( !(dst.Flags & Eigen::RowMajorBit) ) - { - Mat _dst(src.cols, src.rows, DataType<_Tp>::type, - dst.data(), (size_t)(dst.stride()*sizeof(_Tp))); - if( src.type() == _dst.type() ) - transpose(src, _dst); - else if( src.cols == src.rows ) - { - src.convertTo(_dst, _dst.type()); - transpose(_dst, _dst); - } - else - Mat(src.t()).convertTo(_dst, _dst.type()); - CV_DbgAssert(_dst.data == (uchar*)dst.data()); - } - else - { - Mat _dst(src.rows, src.cols, DataType<_Tp>::type, - dst.data(), (size_t)(dst.stride()*sizeof(_Tp))); - src.convertTo(_dst, _dst.type()); - CV_DbgAssert(_dst.data == (uchar*)dst.data()); - } -} - -// Matx case -template -void cv2eigen( const Matx<_Tp, _rows, _cols>& src, - Eigen::Matrix<_Tp, Eigen::Dynamic, Eigen::Dynamic>& dst ) -{ - dst.resize(_rows, _cols); - if( !(dst.Flags & Eigen::RowMajorBit) ) - { - Mat _dst(_cols, _rows, DataType<_Tp>::type, - dst.data(), (size_t)(dst.stride()*sizeof(_Tp))); - transpose(src, _dst); - CV_DbgAssert(_dst.data == (uchar*)dst.data()); - } - else - { - Mat _dst(_rows, _cols, DataType<_Tp>::type, - dst.data(), (size_t)(dst.stride()*sizeof(_Tp))); - Mat(src).copyTo(_dst); - CV_DbgAssert(_dst.data == (uchar*)dst.data()); - } -} - -template -void cv2eigen( const Mat& src, - Eigen::Matrix<_Tp, Eigen::Dynamic, 1>& dst ) -{ - CV_Assert(src.cols == 1); - dst.resize(src.rows); - - if( !(dst.Flags & Eigen::RowMajorBit) ) - { - Mat _dst(src.cols, src.rows, DataType<_Tp>::type, - dst.data(), (size_t)(dst.stride()*sizeof(_Tp))); - if( src.type() == _dst.type() ) - transpose(src, _dst); - else - Mat(src.t()).convertTo(_dst, _dst.type()); - CV_DbgAssert(_dst.data == (uchar*)dst.data()); - } - else - { - Mat _dst(src.rows, src.cols, DataType<_Tp>::type, - dst.data(), (size_t)(dst.stride()*sizeof(_Tp))); - src.convertTo(_dst, _dst.type()); - CV_DbgAssert(_dst.data == (uchar*)dst.data()); - } -} - -// Matx case -template -void cv2eigen( const Matx<_Tp, _rows, 1>& src, - Eigen::Matrix<_Tp, Eigen::Dynamic, 1>& dst ) -{ - dst.resize(_rows); - - if( !(dst.Flags & Eigen::RowMajorBit) ) - { - Mat _dst(1, _rows, DataType<_Tp>::type, - dst.data(), (size_t)(dst.stride()*sizeof(_Tp))); - transpose(src, _dst); - CV_DbgAssert(_dst.data == (uchar*)dst.data()); - } - else - { - Mat _dst(_rows, 1, DataType<_Tp>::type, - dst.data(), (size_t)(dst.stride()*sizeof(_Tp))); - src.copyTo(_dst); - CV_DbgAssert(_dst.data == (uchar*)dst.data()); - } -} - - -template -void cv2eigen( const Mat& src, - Eigen::Matrix<_Tp, 1, Eigen::Dynamic>& dst ) -{ - CV_Assert(src.rows == 1); - dst.resize(src.cols); - if( !(dst.Flags & Eigen::RowMajorBit) ) - { - Mat _dst(src.cols, src.rows, DataType<_Tp>::type, - dst.data(), (size_t)(dst.stride()*sizeof(_Tp))); - if( src.type() == _dst.type() ) - transpose(src, _dst); - else - Mat(src.t()).convertTo(_dst, _dst.type()); - CV_DbgAssert(_dst.data == (uchar*)dst.data()); - } - else - { - Mat _dst(src.rows, src.cols, DataType<_Tp>::type, - dst.data(), (size_t)(dst.stride()*sizeof(_Tp))); - src.convertTo(_dst, _dst.type()); - CV_DbgAssert(_dst.data == (uchar*)dst.data()); - } -} - -//Matx -template -void cv2eigen( const Matx<_Tp, 1, _cols>& src, - Eigen::Matrix<_Tp, 1, Eigen::Dynamic>& dst ) -{ - dst.resize(_cols); - if( !(dst.Flags & Eigen::RowMajorBit) ) - { - Mat _dst(_cols, 1, DataType<_Tp>::type, - dst.data(), (size_t)(dst.stride()*sizeof(_Tp))); - transpose(src, _dst); - CV_DbgAssert(_dst.data == (uchar*)dst.data()); - } - else - { - Mat _dst(1, _cols, DataType<_Tp>::type, - dst.data(), (size_t)(dst.stride()*sizeof(_Tp))); - Mat(src).copyTo(_dst); - CV_DbgAssert(_dst.data == (uchar*)dst.data()); - } -} - - -} - -#endif - -#endif diff --git a/phonelibs/opencv/include/opencv2/core/gpumat.hpp b/phonelibs/opencv/include/opencv2/core/gpumat.hpp deleted file mode 100644 index 6679ab2a29..0000000000 --- a/phonelibs/opencv/include/opencv2/core/gpumat.hpp +++ /dev/null @@ -1,563 +0,0 @@ -/*M/////////////////////////////////////////////////////////////////////////////////////// -// -// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING. -// -// By downloading, copying, installing or using the software you agree to this license. -// If you do not agree to this license, do not download, install, -// copy or use the software. -// -// -// License Agreement -// For Open Source Computer Vision Library -// -// Copyright (C) 2000-2008, Intel Corporation, all rights reserved. -// Copyright (C) 2009, Willow Garage Inc., all rights reserved. -// Third party copyrights are property of their respective owners. -// -// Redistribution and use in source and binary forms, with or without modification, -// are permitted provided that the following conditions are met: -// -// * Redistribution's of source code must retain the above copyright notice, -// this list of conditions and the following disclaimer. -// -// * Redistribution's in binary form must reproduce the above copyright notice, -// this list of conditions and the following disclaimer in the documentation -// and/or other materials provided with the distribution. -// -// * The name of the copyright holders may not be used to endorse or promote products -// derived from this software without specific prior written permission. -// -// This software is provided by the copyright holders and contributors "as is" and -// any express or implied warranties, including, but not limited to, the implied -// warranties of merchantability and fitness for a particular purpose are disclaimed. -// In no event shall the Intel Corporation or contributors be liable for any direct, -// indirect, incidental, special, exemplary, or consequential damages -// (including, but not limited to, procurement of substitute goods or services; -// loss of use, data, or profits; or business interruption) however caused -// and on any theory of liability, whether in contract, strict liability, -// or tort (including negligence or otherwise) arising in any way out of -// the use of this software, even if advised of the possibility of such damage. -// -//M*/ - -#ifndef __OPENCV_GPUMAT_HPP__ -#define __OPENCV_GPUMAT_HPP__ - -#ifdef __cplusplus - -#include "opencv2/core/core.hpp" -#include "opencv2/core/cuda_devptrs.hpp" - -namespace cv { namespace gpu -{ - //////////////////////////////// Initialization & Info //////////////////////// - - //! This is the only function that do not throw exceptions if the library is compiled without Cuda. - CV_EXPORTS int getCudaEnabledDeviceCount(); - - //! Functions below throw cv::Expception if the library is compiled without Cuda. - - CV_EXPORTS void setDevice(int device); - CV_EXPORTS int getDevice(); - - //! Explicitly destroys and cleans up all resources associated with the current device in the current process. - //! Any subsequent API call to this device will reinitialize the device. - CV_EXPORTS void resetDevice(); - - enum FeatureSet - { - FEATURE_SET_COMPUTE_10 = 10, - FEATURE_SET_COMPUTE_11 = 11, - FEATURE_SET_COMPUTE_12 = 12, - FEATURE_SET_COMPUTE_13 = 13, - FEATURE_SET_COMPUTE_20 = 20, - FEATURE_SET_COMPUTE_21 = 21, - FEATURE_SET_COMPUTE_30 = 30, - FEATURE_SET_COMPUTE_35 = 35, - - GLOBAL_ATOMICS = FEATURE_SET_COMPUTE_11, - SHARED_ATOMICS = FEATURE_SET_COMPUTE_12, - NATIVE_DOUBLE = FEATURE_SET_COMPUTE_13, - WARP_SHUFFLE_FUNCTIONS = FEATURE_SET_COMPUTE_30, - DYNAMIC_PARALLELISM = FEATURE_SET_COMPUTE_35 - }; - - // Checks whether current device supports the given feature - CV_EXPORTS bool deviceSupports(FeatureSet feature_set); - - // Gives information about what GPU archs this OpenCV GPU module was - // compiled for - class CV_EXPORTS TargetArchs - { - public: - static bool builtWith(FeatureSet feature_set); - static bool has(int major, int minor); - static bool hasPtx(int major, int minor); - static bool hasBin(int major, int minor); - static bool hasEqualOrLessPtx(int major, int minor); - static bool hasEqualOrGreater(int major, int minor); - static bool hasEqualOrGreaterPtx(int major, int minor); - static bool hasEqualOrGreaterBin(int major, int minor); - private: - TargetArchs(); - }; - - // Gives information about the given GPU - class CV_EXPORTS DeviceInfo - { - public: - // Creates DeviceInfo object for the current GPU - DeviceInfo() : device_id_(getDevice()) { query(); } - - // Creates DeviceInfo object for the given GPU - DeviceInfo(int device_id) : device_id_(device_id) { query(); } - - std::string name() const { return name_; } - - // Return compute capability versions - int majorVersion() const { return majorVersion_; } - int minorVersion() const { return minorVersion_; } - - int multiProcessorCount() const { return multi_processor_count_; } - - size_t sharedMemPerBlock() const; - - void queryMemory(size_t& totalMemory, size_t& freeMemory) const; - size_t freeMemory() const; - size_t totalMemory() const; - - // Checks whether device supports the given feature - bool supports(FeatureSet feature_set) const; - - // Checks whether the GPU module can be run on the given device - bool isCompatible() const; - - int deviceID() const { return device_id_; } - - private: - void query(); - - int device_id_; - - std::string name_; - int multi_processor_count_; - int majorVersion_; - int minorVersion_; - }; - - CV_EXPORTS void printCudaDeviceInfo(int device); - CV_EXPORTS void printShortCudaDeviceInfo(int device); - - //////////////////////////////// GpuMat /////////////////////////////// - - //! Smart pointer for GPU memory with reference counting. Its interface is mostly similar with cv::Mat. - class CV_EXPORTS GpuMat - { - public: - //! default constructor - GpuMat(); - - //! constructs GpuMatrix of the specified size and type (_type is CV_8UC1, CV_64FC3, CV_32SC(12) etc.) - GpuMat(int rows, int cols, int type); - GpuMat(Size size, int type); - - //! constucts GpuMatrix and fills it with the specified value _s. - GpuMat(int rows, int cols, int type, Scalar s); - GpuMat(Size size, int type, Scalar s); - - //! copy constructor - GpuMat(const GpuMat& m); - - //! constructor for GpuMatrix headers pointing to user-allocated data - GpuMat(int rows, int cols, int type, void* data, size_t step = Mat::AUTO_STEP); - GpuMat(Size size, int type, void* data, size_t step = Mat::AUTO_STEP); - - //! creates a matrix header for a part of the bigger matrix - GpuMat(const GpuMat& m, Range rowRange, Range colRange); - GpuMat(const GpuMat& m, Rect roi); - - //! builds GpuMat from Mat. Perfom blocking upload to device. - explicit GpuMat(const Mat& m); - - //! destructor - calls release() - ~GpuMat(); - - //! assignment operators - GpuMat& operator = (const GpuMat& m); - - //! pefroms blocking upload data to GpuMat. - void upload(const Mat& m); - - //! downloads data from device to host memory. Blocking calls. - void download(Mat& m) const; - - //! returns a new GpuMatrix header for the specified row - GpuMat row(int y) const; - //! returns a new GpuMatrix header for the specified column - GpuMat col(int x) const; - //! ... for the specified row span - GpuMat rowRange(int startrow, int endrow) const; - GpuMat rowRange(Range r) const; - //! ... for the specified column span - GpuMat colRange(int startcol, int endcol) const; - GpuMat colRange(Range r) const; - - //! returns deep copy of the GpuMatrix, i.e. the data is copied - GpuMat clone() const; - //! copies the GpuMatrix content to "m". - // It calls m.create(this->size(), this->type()). - void copyTo(GpuMat& m) const; - //! copies those GpuMatrix elements to "m" that are marked with non-zero mask elements. - void copyTo(GpuMat& m, const GpuMat& mask) const; - //! converts GpuMatrix to another datatype with optional scalng. See cvConvertScale. - void convertTo(GpuMat& m, int rtype, double alpha = 1, double beta = 0) const; - - void assignTo(GpuMat& m, int type=-1) const; - - //! sets every GpuMatrix element to s - GpuMat& operator = (Scalar s); - //! sets some of the GpuMatrix elements to s, according to the mask - GpuMat& setTo(Scalar s, const GpuMat& mask = GpuMat()); - //! creates alternative GpuMatrix header for the same data, with different - // number of channels and/or different number of rows. see cvReshape. - GpuMat reshape(int cn, int rows = 0) const; - - //! allocates new GpuMatrix data unless the GpuMatrix already has specified size and type. - // previous data is unreferenced if needed. - void create(int rows, int cols, int type); - void create(Size size, int type); - //! decreases reference counter; - // deallocate the data when reference counter reaches 0. - void release(); - - //! swaps with other smart pointer - void swap(GpuMat& mat); - - //! locates GpuMatrix header within a parent GpuMatrix. See below - void locateROI(Size& wholeSize, Point& ofs) const; - //! moves/resizes the current GpuMatrix ROI inside the parent GpuMatrix. - GpuMat& adjustROI(int dtop, int dbottom, int dleft, int dright); - //! extracts a rectangular sub-GpuMatrix - // (this is a generalized form of row, rowRange etc.) - GpuMat operator()(Range rowRange, Range colRange) const; - GpuMat operator()(Rect roi) const; - - //! returns true iff the GpuMatrix data is continuous - // (i.e. when there are no gaps between successive rows). - // similar to CV_IS_GpuMat_CONT(cvGpuMat->type) - bool isContinuous() const; - //! returns element size in bytes, - // similar to CV_ELEM_SIZE(cvMat->type) - size_t elemSize() const; - //! returns the size of element channel in bytes. - size_t elemSize1() const; - //! returns element type, similar to CV_MAT_TYPE(cvMat->type) - int type() const; - //! returns element type, similar to CV_MAT_DEPTH(cvMat->type) - int depth() const; - //! returns element type, similar to CV_MAT_CN(cvMat->type) - int channels() const; - //! returns step/elemSize1() - size_t step1() const; - //! returns GpuMatrix size: - // width == number of columns, height == number of rows - Size size() const; - //! returns true if GpuMatrix data is NULL - bool empty() const; - - //! returns pointer to y-th row - uchar* ptr(int y = 0); - const uchar* ptr(int y = 0) const; - - //! template version of the above method - template _Tp* ptr(int y = 0); - template const _Tp* ptr(int y = 0) const; - - template operator PtrStepSz<_Tp>() const; - template operator PtrStep<_Tp>() const; - - // Deprecated function - template CV_GPU_DEPRECATED operator DevMem2D_<_Tp>() const; - template CV_GPU_DEPRECATED operator PtrStep_<_Tp>() const; - #undef CV_GPU_DEPRECATED - - /*! includes several bit-fields: - - the magic signature - - continuity flag - - depth - - number of channels - */ - int flags; - - //! the number of rows and columns - int rows, cols; - - //! a distance between successive rows in bytes; includes the gap if any - size_t step; - - //! pointer to the data - uchar* data; - - //! pointer to the reference counter; - // when GpuMatrix points to user-allocated data, the pointer is NULL - int* refcount; - - //! helper fields used in locateROI and adjustROI - uchar* datastart; - uchar* dataend; - }; - - //! Creates continuous GPU matrix - CV_EXPORTS void createContinuous(int rows, int cols, int type, GpuMat& m); - CV_EXPORTS GpuMat createContinuous(int rows, int cols, int type); - CV_EXPORTS void createContinuous(Size size, int type, GpuMat& m); - CV_EXPORTS GpuMat createContinuous(Size size, int type); - - //! Ensures that size of the given matrix is not less than (rows, cols) size - //! and matrix type is match specified one too - CV_EXPORTS void ensureSizeIsEnough(int rows, int cols, int type, GpuMat& m); - CV_EXPORTS void ensureSizeIsEnough(Size size, int type, GpuMat& m); - - CV_EXPORTS GpuMat allocMatFromBuf(int rows, int cols, int type, GpuMat &mat); - - //////////////////////////////////////////////////////////////////////// - // Error handling - - CV_EXPORTS void error(const char* error_string, const char* file, const int line, const char* func = ""); - - //////////////////////////////////////////////////////////////////////// - //////////////////////////////////////////////////////////////////////// - //////////////////////////////////////////////////////////////////////// - - inline GpuMat::GpuMat() - : flags(0), rows(0), cols(0), step(0), data(0), refcount(0), datastart(0), dataend(0) - { - } - - inline GpuMat::GpuMat(int rows_, int cols_, int type_) - : flags(0), rows(0), cols(0), step(0), data(0), refcount(0), datastart(0), dataend(0) - { - if (rows_ > 0 && cols_ > 0) - create(rows_, cols_, type_); - } - - inline GpuMat::GpuMat(Size size_, int type_) - : flags(0), rows(0), cols(0), step(0), data(0), refcount(0), datastart(0), dataend(0) - { - if (size_.height > 0 && size_.width > 0) - create(size_.height, size_.width, type_); - } - - inline GpuMat::GpuMat(int rows_, int cols_, int type_, Scalar s_) - : flags(0), rows(0), cols(0), step(0), data(0), refcount(0), datastart(0), dataend(0) - { - if (rows_ > 0 && cols_ > 0) - { - create(rows_, cols_, type_); - setTo(s_); - } - } - - inline GpuMat::GpuMat(Size size_, int type_, Scalar s_) - : flags(0), rows(0), cols(0), step(0), data(0), refcount(0), datastart(0), dataend(0) - { - if (size_.height > 0 && size_.width > 0) - { - create(size_.height, size_.width, type_); - setTo(s_); - } - } - - inline GpuMat::~GpuMat() - { - release(); - } - - inline GpuMat GpuMat::clone() const - { - GpuMat m; - copyTo(m); - return m; - } - - inline void GpuMat::assignTo(GpuMat& m, int _type) const - { - if (_type < 0) - m = *this; - else - convertTo(m, _type); - } - - inline size_t GpuMat::step1() const - { - return step / elemSize1(); - } - - inline bool GpuMat::empty() const - { - return data == 0; - } - - template inline _Tp* GpuMat::ptr(int y) - { - return (_Tp*)ptr(y); - } - - template inline const _Tp* GpuMat::ptr(int y) const - { - return (const _Tp*)ptr(y); - } - - inline void swap(GpuMat& a, GpuMat& b) - { - a.swap(b); - } - - inline GpuMat GpuMat::row(int y) const - { - return GpuMat(*this, Range(y, y+1), Range::all()); - } - - inline GpuMat GpuMat::col(int x) const - { - return GpuMat(*this, Range::all(), Range(x, x+1)); - } - - inline GpuMat GpuMat::rowRange(int startrow, int endrow) const - { - return GpuMat(*this, Range(startrow, endrow), Range::all()); - } - - inline GpuMat GpuMat::rowRange(Range r) const - { - return GpuMat(*this, r, Range::all()); - } - - inline GpuMat GpuMat::colRange(int startcol, int endcol) const - { - return GpuMat(*this, Range::all(), Range(startcol, endcol)); - } - - inline GpuMat GpuMat::colRange(Range r) const - { - return GpuMat(*this, Range::all(), r); - } - - inline void GpuMat::create(Size size_, int type_) - { - create(size_.height, size_.width, type_); - } - - inline GpuMat GpuMat::operator()(Range _rowRange, Range _colRange) const - { - return GpuMat(*this, _rowRange, _colRange); - } - - inline GpuMat GpuMat::operator()(Rect roi) const - { - return GpuMat(*this, roi); - } - - inline bool GpuMat::isContinuous() const - { - return (flags & Mat::CONTINUOUS_FLAG) != 0; - } - - inline size_t GpuMat::elemSize() const - { - return CV_ELEM_SIZE(flags); - } - - inline size_t GpuMat::elemSize1() const - { - return CV_ELEM_SIZE1(flags); - } - - inline int GpuMat::type() const - { - return CV_MAT_TYPE(flags); - } - - inline int GpuMat::depth() const - { - return CV_MAT_DEPTH(flags); - } - - inline int GpuMat::channels() const - { - return CV_MAT_CN(flags); - } - - inline Size GpuMat::size() const - { - return Size(cols, rows); - } - - inline uchar* GpuMat::ptr(int y) - { - CV_DbgAssert((unsigned)y < (unsigned)rows); - return data + step * y; - } - - inline const uchar* GpuMat::ptr(int y) const - { - CV_DbgAssert((unsigned)y < (unsigned)rows); - return data + step * y; - } - - inline GpuMat& GpuMat::operator = (Scalar s) - { - setTo(s); - return *this; - } - - /** @cond IGNORED */ - template inline GpuMat::operator PtrStepSz() const - { - return PtrStepSz(rows, cols, (T*)data, step); - } - - template inline GpuMat::operator PtrStep() const - { - return PtrStep((T*)data, step); - } - - template inline GpuMat::operator DevMem2D_() const - { - return DevMem2D_(rows, cols, (T*)data, step); - } - - template inline GpuMat::operator PtrStep_() const - { - return PtrStep_(static_cast< DevMem2D_ >(*this)); - } - /** @endcond */ - - inline GpuMat createContinuous(int rows, int cols, int type) - { - GpuMat m; - createContinuous(rows, cols, type, m); - return m; - } - - inline void createContinuous(Size size, int type, GpuMat& m) - { - createContinuous(size.height, size.width, type, m); - } - - inline GpuMat createContinuous(Size size, int type) - { - GpuMat m; - createContinuous(size, type, m); - return m; - } - - inline void ensureSizeIsEnough(Size size, int type, GpuMat& m) - { - ensureSizeIsEnough(size.height, size.width, type, m); - } -}} - -#endif // __cplusplus - -#endif // __OPENCV_GPUMAT_HPP__ diff --git a/phonelibs/opencv/include/opencv2/core/internal.hpp b/phonelibs/opencv/include/opencv2/core/internal.hpp deleted file mode 100644 index 702004d4a8..0000000000 --- a/phonelibs/opencv/include/opencv2/core/internal.hpp +++ /dev/null @@ -1,799 +0,0 @@ -/*M/////////////////////////////////////////////////////////////////////////////////////// -// -// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING. -// -// By downloading, copying, installing or using the software you agree to this license. -// If you do not agree to this license, do not download, install, -// copy or use the software. -// -// -// License Agreement -// For Open Source Computer Vision Library -// -// Copyright (C) 2000-2008, Intel Corporation, all rights reserved. -// Copyright (C) 2009, Willow Garage Inc., all rights reserved. -// Third party copyrights are property of their respective owners. -// -// Redistribution and use in source and binary forms, with or without modification, -// are permitted provided that the following conditions are met: -// -// * Redistribution's of source code must retain the above copyright notice, -// this list of conditions and the following disclaimer. -// -// * Redistribution's in binary form must reproduce the above copyright notice, -// this list of conditions and the following disclaimer in the documentation -// and/or other materials provided with the distribution. -// -// * The name of the copyright holders may not be used to endorse or promote products -// derived from this software without specific prior written permission. -// -// This software is provided by the copyright holders and contributors "as is" and -// any express or implied warranties, including, but not limited to, the implied -// warranties of merchantability and fitness for a particular purpose are disclaimed. -// In no event shall the Intel Corporation or contributors be liable for any direct, -// indirect, incidental, special, exemplary, or consequential damages -// (including, but not limited to, procurement of substitute goods or services; -// loss of use, data, or profits; or business interruption) however caused -// and on any theory of liability, whether in contract, strict liability, -// or tort (including negligence or otherwise) arising in any way out of -// the use of this software, even if advised of the possibility of such damage. -// -//M*/ - -/* The header is for internal use and it is likely to change. - It contains some macro definitions that are used in cxcore, cv, cvaux - and, probably, other libraries. If you need some of this functionality, - the safe way is to copy it into your code and rename the macros. -*/ -#ifndef __OPENCV_CORE_INTERNAL_HPP__ -#define __OPENCV_CORE_INTERNAL_HPP__ - -#include - -#include "opencv2/core/core.hpp" -#include "opencv2/core/types_c.h" - -#if defined WIN32 || defined _WIN32 -# ifndef WIN32 -# define WIN32 -# endif -# ifndef _WIN32 -# define _WIN32 -# endif -#endif - -#if !defined WIN32 && !defined WINCE -# include -#endif - -#ifdef __BORLANDC__ -# ifndef WIN32 -# define WIN32 -# endif -# ifndef _WIN32 -# define _WIN32 -# endif -# define CV_DLL -# undef _CV_ALWAYS_PROFILE_ -# define _CV_ALWAYS_NO_PROFILE_ -#endif - -#ifndef FALSE -# define FALSE 0 -#endif -#ifndef TRUE -# define TRUE 1 -#endif - -#define __BEGIN__ __CV_BEGIN__ -#define __END__ __CV_END__ -#define EXIT __CV_EXIT__ - -#ifdef HAVE_IPP -# include "ipp.h" - -CV_INLINE IppiSize ippiSize(int width, int height) -{ - IppiSize size = { width, height }; - return size; -} - -CV_INLINE IppiSize ippiSize(const cv::Size & _size) -{ - IppiSize size = { _size.width, _size.height }; - return size; -} - -#if IPP_VERSION_MAJOR >= 9 // IPP 9+ is not supported -#undef HAVE_IPP -#undef IPP_VERSION_MAJOR -#endif -#endif - -#ifndef IPPI_CALL -# define IPPI_CALL(func) CV_Assert((func) >= 0) -#endif - -#if defined __SSE2__ || defined _M_X64 || (defined _M_IX86_FP && _M_IX86_FP >= 2) -# include "emmintrin.h" -# define CV_SSE 1 -# define CV_SSE2 1 -# if defined __SSE3__ || (defined _MSC_VER && _MSC_VER >= 1500) -# include "pmmintrin.h" -# define CV_SSE3 1 -# endif -# if defined __SSSE3__ || (defined _MSC_VER && _MSC_VER >= 1500) -# include "tmmintrin.h" -# define CV_SSSE3 1 -# endif -# if defined __SSE4_1__ || (defined _MSC_VER && _MSC_VER >= 1500) -# include -# define CV_SSE4_1 1 -# endif -# if defined __SSE4_2__ || (defined _MSC_VER && _MSC_VER >= 1500) -# include -# define CV_SSE4_2 1 -# endif -# if defined __AVX__ || (defined _MSC_FULL_VER && _MSC_FULL_VER >= 160040219) -// MS Visual Studio 2010 (2012?) has no macro pre-defined to identify the use of /arch:AVX -// See: http://connect.microsoft.com/VisualStudio/feedback/details/605858/arch-avx-should-define-a-predefined-macro-in-x64-and-set-a-unique-value-for-m-ix86-fp-in-win32 -# include -# define CV_AVX 1 -# if defined(_XCR_XFEATURE_ENABLED_MASK) -# define __xgetbv() _xgetbv(_XCR_XFEATURE_ENABLED_MASK) -# else -# define __xgetbv() 0 -# endif -# endif -# if defined __AVX2__ -# include -# define CV_AVX2 1 -# endif -#endif - - -#if (defined WIN32 || defined _WIN32) && defined(_M_ARM) -# include -# include "arm_neon.h" -# define CV_NEON 1 -# define CPU_HAS_NEON_FEATURE (true) -#elif defined(__ARM_NEON__) || defined(__ARM_NEON) -# include -# define CV_NEON 1 -# define CPU_HAS_NEON_FEATURE (true) -#endif - -#ifndef CV_SSE -# define CV_SSE 0 -#endif -#ifndef CV_SSE2 -# define CV_SSE2 0 -#endif -#ifndef CV_SSE3 -# define CV_SSE3 0 -#endif -#ifndef CV_SSSE3 -# define CV_SSSE3 0 -#endif -#ifndef CV_SSE4_1 -# define CV_SSE4_1 0 -#endif -#ifndef CV_SSE4_2 -# define CV_SSE4_2 0 -#endif -#ifndef CV_AVX -# define CV_AVX 0 -#endif -#ifndef CV_AVX2 -# define CV_AVX2 0 -#endif -#ifndef CV_NEON -# define CV_NEON 0 -#endif - -#ifdef HAVE_TBB -# include "tbb/tbb_stddef.h" -# if TBB_VERSION_MAJOR*100 + TBB_VERSION_MINOR >= 202 -# include "tbb/tbb.h" -# include "tbb/task.h" -# undef min -# undef max -# else -# undef HAVE_TBB -# endif -#endif - -#ifdef HAVE_EIGEN -# if defined __GNUC__ && defined __APPLE__ -# pragma GCC diagnostic ignored "-Wshadow" -# endif -# include -# include "opencv2/core/eigen.hpp" -#endif - -#ifdef __cplusplus - -namespace cv -{ -#ifdef HAVE_TBB - - typedef tbb::blocked_range BlockedRange; - - template static inline - void parallel_for( const BlockedRange& range, const Body& body ) - { - tbb::parallel_for(range, body); - } - - template static inline - void parallel_do( Iterator first, Iterator last, const Body& body ) - { - tbb::parallel_do(first, last, body); - } - - typedef tbb::split Split; - - template static inline - void parallel_reduce( const BlockedRange& range, Body& body ) - { - tbb::parallel_reduce(range, body); - } - - typedef tbb::concurrent_vector ConcurrentRectVector; - typedef tbb::concurrent_vector ConcurrentDoubleVector; -#else - class BlockedRange - { - public: - BlockedRange() : _begin(0), _end(0), _grainsize(0) {} - BlockedRange(int b, int e, int g=1) : _begin(b), _end(e), _grainsize(g) {} - int begin() const { return _begin; } - int end() const { return _end; } - int grainsize() const { return _grainsize; } - - protected: - int _begin, _end, _grainsize; - }; - - template static inline - void parallel_for( const BlockedRange& range, const Body& body ) - { - body(range); - } - typedef std::vector ConcurrentRectVector; - typedef std::vector ConcurrentDoubleVector; - - template static inline - void parallel_do( Iterator first, Iterator last, const Body& body ) - { - for( ; first != last; ++first ) - body(*first); - } - - class Split {}; - - template static inline - void parallel_reduce( const BlockedRange& range, Body& body ) - { - body(range); - } -#endif - - // Returns a static string if there is a parallel framework, - // NULL otherwise. - CV_EXPORTS const char* currentParallelFramework(); -} //namespace cv - -#define CV_INIT_ALGORITHM(classname, algname, memberinit) \ - static ::cv::Algorithm* create##classname() \ - { \ - return new classname; \ - } \ - \ - static ::cv::AlgorithmInfo& classname##_info() \ - { \ - static ::cv::AlgorithmInfo classname##_info_var(algname, create##classname); \ - return classname##_info_var; \ - } \ - \ - CV_ATTR_USED static ::cv::AlgorithmInfo& classname##_info_auto = classname##_info(); \ - \ - ::cv::AlgorithmInfo* classname::info() const \ - { \ - static volatile bool initialized = false; \ - \ - if( !initialized ) \ - { \ - initialized = true; \ - classname obj; \ - memberinit; \ - } \ - return &classname##_info(); \ - } - -#endif //__cplusplus - -/* maximal size of vector to run matrix operations on it inline (i.e. w/o ipp calls) */ -#define CV_MAX_INLINE_MAT_OP_SIZE 10 - -/* maximal linear size of matrix to allocate it on stack. */ -#define CV_MAX_LOCAL_MAT_SIZE 32 - -/* maximal size of local memory storage */ -#define CV_MAX_LOCAL_SIZE \ - (CV_MAX_LOCAL_MAT_SIZE*CV_MAX_LOCAL_MAT_SIZE*(int)sizeof(double)) - -/* default image row align (in bytes) */ -#define CV_DEFAULT_IMAGE_ROW_ALIGN 4 - -/* matrices are continuous by default */ -#define CV_DEFAULT_MAT_ROW_ALIGN 1 - -/* maximum size of dynamic memory buffer. - cvAlloc reports an error if a larger block is requested. */ -#define CV_MAX_ALLOC_SIZE (((size_t)1 << (sizeof(size_t)*8-2))) - -/* the alignment of all the allocated buffers */ -#define CV_MALLOC_ALIGN 16 - -/* default alignment for dynamic data strucutures, resided in storages. */ -#define CV_STRUCT_ALIGN ((int)sizeof(double)) - -/* default storage block size */ -#define CV_STORAGE_BLOCK_SIZE ((1<<16) - 128) - -/* default memory block for sparse array elements */ -#define CV_SPARSE_MAT_BLOCK (1<<12) - -/* initial hash table size */ -#define CV_SPARSE_HASH_SIZE0 (1<<10) - -/* maximal average node_count/hash_size ratio beyond which hash table is resized */ -#define CV_SPARSE_HASH_RATIO 3 - -/* max length of strings */ -#define CV_MAX_STRLEN 1024 - -#if 0 /*def CV_CHECK_FOR_NANS*/ -# define CV_CHECK_NANS( arr ) cvCheckArray((arr)) -#else -# define CV_CHECK_NANS( arr ) -#endif - -/****************************************************************************************\ -* Common declarations * -\****************************************************************************************/ - -#ifdef __GNUC__ -# define CV_DECL_ALIGNED(x) __attribute__ ((aligned (x))) -#elif defined _MSC_VER -# define CV_DECL_ALIGNED(x) __declspec(align(x)) -#else -# define CV_DECL_ALIGNED(x) -#endif - -#ifndef CV_IMPL -# define CV_IMPL CV_EXTERN_C -#endif - -#define CV_DBG_BREAK() { volatile int* crashMe = 0; *crashMe = 0; } - -/* default step, set in case of continuous data - to work around checks for valid step in some ipp functions */ -#define CV_STUB_STEP (1 << 30) - -#define CV_SIZEOF_FLOAT ((int)sizeof(float)) -#define CV_SIZEOF_SHORT ((int)sizeof(short)) - -#define CV_ORIGIN_TL 0 -#define CV_ORIGIN_BL 1 - -/* IEEE754 constants and macros */ -#define CV_POS_INF 0x7f800000 -#define CV_NEG_INF 0x807fffff /* CV_TOGGLE_FLT(0xff800000) */ -#define CV_1F 0x3f800000 -#define CV_TOGGLE_FLT(x) ((x)^((int)(x) < 0 ? 0x7fffffff : 0)) -#define CV_TOGGLE_DBL(x) \ - ((x)^((int64)(x) < 0 ? CV_BIG_INT(0x7fffffffffffffff) : 0)) - -#define CV_NOP(a) (a) -#define CV_ADD(a, b) ((a) + (b)) -#define CV_SUB(a, b) ((a) - (b)) -#define CV_MUL(a, b) ((a) * (b)) -#define CV_AND(a, b) ((a) & (b)) -#define CV_OR(a, b) ((a) | (b)) -#define CV_XOR(a, b) ((a) ^ (b)) -#define CV_ANDN(a, b) (~(a) & (b)) -#define CV_ORN(a, b) (~(a) | (b)) -#define CV_SQR(a) ((a) * (a)) - -#define CV_LT(a, b) ((a) < (b)) -#define CV_LE(a, b) ((a) <= (b)) -#define CV_EQ(a, b) ((a) == (b)) -#define CV_NE(a, b) ((a) != (b)) -#define CV_GT(a, b) ((a) > (b)) -#define CV_GE(a, b) ((a) >= (b)) - -#define CV_NONZERO(a) ((a) != 0) -#define CV_NONZERO_FLT(a) (((a)+(a)) != 0) - -/* general-purpose saturation macros */ -#define CV_CAST_8U(t) (uchar)(!((t) & ~255) ? (t) : (t) > 0 ? 255 : 0) -#define CV_CAST_8S(t) (schar)(!(((t)+128) & ~255) ? (t) : (t) > 0 ? 127 : -128) -#define CV_CAST_16U(t) (ushort)(!((t) & ~65535) ? (t) : (t) > 0 ? 65535 : 0) -#define CV_CAST_16S(t) (short)(!(((t)+32768) & ~65535) ? (t) : (t) > 0 ? 32767 : -32768) -#define CV_CAST_32S(t) (int)(t) -#define CV_CAST_64S(t) (int64)(t) -#define CV_CAST_32F(t) (float)(t) -#define CV_CAST_64F(t) (double)(t) - -#define CV_PASTE2(a,b) a##b -#define CV_PASTE(a,b) CV_PASTE2(a,b) - -#define CV_EMPTY -#define CV_MAKE_STR(a) #a - -#define CV_ZERO_OBJ(x) memset((x), 0, sizeof(*(x))) - -#define CV_DIM(static_array) ((int)(sizeof(static_array)/sizeof((static_array)[0]))) - -#define cvUnsupportedFormat "Unsupported format" - -CV_INLINE void* cvAlignPtr( const void* ptr, int align CV_DEFAULT(32) ) -{ - assert( (align & (align-1)) == 0 ); - return (void*)( ((size_t)ptr + align - 1) & ~(size_t)(align-1) ); -} - -CV_INLINE int cvAlign( int size, int align ) -{ - assert( (align & (align-1)) == 0 && size < INT_MAX ); - return (size + align - 1) & -align; -} - -CV_INLINE CvSize cvGetMatSize( const CvMat* mat ) -{ - CvSize size; - size.width = mat->cols; - size.height = mat->rows; - return size; -} - -#define CV_DESCALE(x,n) (((x) + (1 << ((n)-1))) >> (n)) -#define CV_FLT_TO_FIX(x,n) cvRound((x)*(1<<(n))) - -/****************************************************************************************\ - - Generic implementation of QuickSort algorithm. - ---------------------------------------------- - Using this macro user can declare customized sort function that can be much faster - than built-in qsort function because of lower overhead on elements - comparison and exchange. The macro takes less_than (or LT) argument - a macro or function - that takes 2 arguments returns non-zero if the first argument should be before the second - one in the sorted sequence and zero otherwise. - - Example: - - Suppose that the task is to sort points by ascending of y coordinates and if - y's are equal x's should ascend. - - The code is: - ------------------------------------------------------------------------------ - #define cmp_pts( pt1, pt2 ) \ - ((pt1).y < (pt2).y || ((pt1).y < (pt2).y && (pt1).x < (pt2).x)) - - [static] CV_IMPLEMENT_QSORT( icvSortPoints, CvPoint, cmp_pts ) - ------------------------------------------------------------------------------ - - After that the function "void icvSortPoints( CvPoint* array, size_t total, int aux );" - is available to user. - - aux is an additional parameter, which can be used when comparing elements. - The current implementation was derived from *BSD system qsort(): - - * Copyright (c) 1992, 1993 - * The Regents of the University of California. All rights reserved. - * - * Redistribution and use in source and binary forms, with or without - * modification, are permitted provided that the following conditions - * are met: - * 1. Redistributions of source code must retain the above copyright - * notice, this list of conditions and the following disclaimer. - * 2. Redistributions in binary form must reproduce the above copyright - * notice, this list of conditions and the following disclaimer in the - * documentation and/or other materials provided with the distribution. - * 3. All advertising materials mentioning features or use of this software - * must display the following acknowledgement: - * This product includes software developed by the University of - * California, Berkeley and its contributors. - * 4. Neither the name of the University nor the names of its contributors - * may be used to endorse or promote products derived from this software - * without specific prior written permission. - * - * THIS SOFTWARE IS PROVIDED BY THE REGENTS AND CONTRIBUTORS ``AS IS'' AND - * ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE - * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE - * ARE DISCLAIMED. IN NO EVENT SHALL THE REGENTS OR CONTRIBUTORS BE LIABLE - * FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL - * DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS - * OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) - * HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT - * LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY - * OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF - * SUCH DAMAGE. - -\****************************************************************************************/ - -#define CV_IMPLEMENT_QSORT_EX( func_name, T, LT, user_data_type ) \ -void func_name( T *array, size_t total, user_data_type aux ) \ -{ \ - int isort_thresh = 7; \ - T t; \ - int sp = 0; \ - \ - struct \ - { \ - T *lb; \ - T *ub; \ - } \ - stack[48]; \ - \ - (void)aux; \ - \ - if( total <= 1 ) \ - return; \ - \ - stack[0].lb = array; \ - stack[0].ub = array + (total - 1); \ - \ - while( sp >= 0 ) \ - { \ - T* left = stack[sp].lb; \ - T* right = stack[sp--].ub; \ - \ - for(;;) \ - { \ - int i, n = (int)(right - left) + 1, m; \ - T* ptr; \ - T* ptr2; \ - \ - if( n <= isort_thresh ) \ - { \ - insert_sort: \ - for( ptr = left + 1; ptr <= right; ptr++ ) \ - { \ - for( ptr2 = ptr; ptr2 > left && LT(ptr2[0],ptr2[-1]); ptr2--) \ - CV_SWAP( ptr2[0], ptr2[-1], t ); \ - } \ - break; \ - } \ - else \ - { \ - T* left0; \ - T* left1; \ - T* right0; \ - T* right1; \ - T* pivot; \ - T* a; \ - T* b; \ - T* c; \ - int swap_cnt = 0; \ - \ - left0 = left; \ - right0 = right; \ - pivot = left + (n/2); \ - \ - if( n > 40 ) \ - { \ - int d = n / 8; \ - a = left, b = left + d, c = left + 2*d; \ - left = LT(*a, *b) ? (LT(*b, *c) ? b : (LT(*a, *c) ? c : a)) \ - : (LT(*c, *b) ? b : (LT(*a, *c) ? a : c)); \ - \ - a = pivot - d, b = pivot, c = pivot + d; \ - pivot = LT(*a, *b) ? (LT(*b, *c) ? b : (LT(*a, *c) ? c : a)) \ - : (LT(*c, *b) ? b : (LT(*a, *c) ? a : c)); \ - \ - a = right - 2*d, b = right - d, c = right; \ - right = LT(*a, *b) ? (LT(*b, *c) ? b : (LT(*a, *c) ? c : a)) \ - : (LT(*c, *b) ? b : (LT(*a, *c) ? a : c)); \ - } \ - \ - a = left, b = pivot, c = right; \ - pivot = LT(*a, *b) ? (LT(*b, *c) ? b : (LT(*a, *c) ? c : a)) \ - : (LT(*c, *b) ? b : (LT(*a, *c) ? a : c)); \ - if( pivot != left0 ) \ - { \ - CV_SWAP( *pivot, *left0, t ); \ - pivot = left0; \ - } \ - left = left1 = left0 + 1; \ - right = right1 = right0; \ - \ - for(;;) \ - { \ - while( left <= right && !LT(*pivot, *left) ) \ - { \ - if( !LT(*left, *pivot) ) \ - { \ - if( left > left1 ) \ - CV_SWAP( *left1, *left, t ); \ - swap_cnt = 1; \ - left1++; \ - } \ - left++; \ - } \ - \ - while( left <= right && !LT(*right, *pivot) ) \ - { \ - if( !LT(*pivot, *right) ) \ - { \ - if( right < right1 ) \ - CV_SWAP( *right1, *right, t ); \ - swap_cnt = 1; \ - right1--; \ - } \ - right--; \ - } \ - \ - if( left > right ) \ - break; \ - CV_SWAP( *left, *right, t ); \ - swap_cnt = 1; \ - left++; \ - right--; \ - } \ - \ - if( swap_cnt == 0 ) \ - { \ - left = left0, right = right0; \ - goto insert_sort; \ - } \ - \ - n = MIN( (int)(left1 - left0), (int)(left - left1) ); \ - for( i = 0; i < n; i++ ) \ - CV_SWAP( left0[i], left[i-n], t ); \ - \ - n = MIN( (int)(right0 - right1), (int)(right1 - right) ); \ - for( i = 0; i < n; i++ ) \ - CV_SWAP( left[i], right0[i-n+1], t ); \ - n = (int)(left - left1); \ - m = (int)(right1 - right); \ - if( n > 1 ) \ - { \ - if( m > 1 ) \ - { \ - if( n > m ) \ - { \ - stack[++sp].lb = left0; \ - stack[sp].ub = left0 + n - 1; \ - left = right0 - m + 1, right = right0; \ - } \ - else \ - { \ - stack[++sp].lb = right0 - m + 1; \ - stack[sp].ub = right0; \ - left = left0, right = left0 + n - 1; \ - } \ - } \ - else \ - left = left0, right = left0 + n - 1; \ - } \ - else if( m > 1 ) \ - left = right0 - m + 1, right = right0; \ - else \ - break; \ - } \ - } \ - } \ -} - -#define CV_IMPLEMENT_QSORT( func_name, T, cmp ) \ - CV_IMPLEMENT_QSORT_EX( func_name, T, cmp, int ) - -/****************************************************************************************\ -* Structures and macros for integration with IPP * -\****************************************************************************************/ - -/* IPP-compatible return codes */ -typedef enum CvStatus -{ - CV_BADMEMBLOCK_ERR = -113, - CV_INPLACE_NOT_SUPPORTED_ERR= -112, - CV_UNMATCHED_ROI_ERR = -111, - CV_NOTFOUND_ERR = -110, - CV_BADCONVERGENCE_ERR = -109, - - CV_BADDEPTH_ERR = -107, - CV_BADROI_ERR = -106, - CV_BADHEADER_ERR = -105, - CV_UNMATCHED_FORMATS_ERR = -104, - CV_UNSUPPORTED_COI_ERR = -103, - CV_UNSUPPORTED_CHANNELS_ERR = -102, - CV_UNSUPPORTED_DEPTH_ERR = -101, - CV_UNSUPPORTED_FORMAT_ERR = -100, - - CV_BADARG_ERR = -49, //ipp comp - CV_NOTDEFINED_ERR = -48, //ipp comp - - CV_BADCHANNELS_ERR = -47, //ipp comp - CV_BADRANGE_ERR = -44, //ipp comp - CV_BADSTEP_ERR = -29, //ipp comp - - CV_BADFLAG_ERR = -12, - CV_DIV_BY_ZERO_ERR = -11, //ipp comp - CV_BADCOEF_ERR = -10, - - CV_BADFACTOR_ERR = -7, - CV_BADPOINT_ERR = -6, - CV_BADSCALE_ERR = -4, - CV_OUTOFMEM_ERR = -3, - CV_NULLPTR_ERR = -2, - CV_BADSIZE_ERR = -1, - CV_NO_ERR = 0, - CV_OK = CV_NO_ERR -} -CvStatus; - -#define CV_NOTHROW throw() - -typedef struct CvFuncTable -{ - void* fn_2d[CV_DEPTH_MAX]; -} -CvFuncTable; - -typedef struct CvBigFuncTable -{ - void* fn_2d[CV_DEPTH_MAX*4]; -} CvBigFuncTable; - -#define CV_INIT_FUNC_TAB( tab, FUNCNAME, FLAG ) \ - (tab).fn_2d[CV_8U] = (void*)FUNCNAME##_8u##FLAG; \ - (tab).fn_2d[CV_8S] = 0; \ - (tab).fn_2d[CV_16U] = (void*)FUNCNAME##_16u##FLAG; \ - (tab).fn_2d[CV_16S] = (void*)FUNCNAME##_16s##FLAG; \ - (tab).fn_2d[CV_32S] = (void*)FUNCNAME##_32s##FLAG; \ - (tab).fn_2d[CV_32F] = (void*)FUNCNAME##_32f##FLAG; \ - (tab).fn_2d[CV_64F] = (void*)FUNCNAME##_64f##FLAG - -#ifdef __cplusplus - -// < Deprecated - -class CV_EXPORTS CvOpenGlFuncTab -{ -public: - virtual ~CvOpenGlFuncTab(); - - virtual void genBuffers(int n, unsigned int* buffers) const = 0; - virtual void deleteBuffers(int n, const unsigned int* buffers) const = 0; - - virtual void bufferData(unsigned int target, ptrdiff_t size, const void* data, unsigned int usage) const = 0; - virtual void bufferSubData(unsigned int target, ptrdiff_t offset, ptrdiff_t size, const void* data) const = 0; - - virtual void bindBuffer(unsigned int target, unsigned int buffer) const = 0; - - virtual void* mapBuffer(unsigned int target, unsigned int access) const = 0; - virtual void unmapBuffer(unsigned int target) const = 0; - - virtual void generateBitmapFont(const std::string& family, int height, int weight, bool italic, bool underline, int start, int count, int base) const = 0; - - virtual bool isGlContextInitialized() const = 0; -}; - -CV_EXPORTS void icvSetOpenGlFuncTab(const CvOpenGlFuncTab* tab); - -CV_EXPORTS bool icvCheckGlError(const char* file, const int line, const char* func = ""); - -// > - -namespace cv { namespace ogl { -CV_EXPORTS bool checkError(const char* file, const int line, const char* func = ""); -}} - -#define CV_CheckGlError() CV_DbgAssert( (cv::ogl::checkError(__FILE__, __LINE__, CV_Func)) ) - -#endif //__cplusplus - -#endif // __OPENCV_CORE_INTERNAL_HPP__ diff --git a/phonelibs/opencv/include/opencv2/core/mat.hpp b/phonelibs/opencv/include/opencv2/core/mat.hpp deleted file mode 100644 index bebe2262b2..0000000000 --- a/phonelibs/opencv/include/opencv2/core/mat.hpp +++ /dev/null @@ -1,2635 +0,0 @@ -/*M/////////////////////////////////////////////////////////////////////////////////////// -// -// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING. -// -// By downloading, copying, installing or using the software you agree to this license. -// If you do not agree to this license, do not download, install, -// copy or use the software. -// -// -// License Agreement -// For Open Source Computer Vision Library -// -// Copyright (C) 2000-2008, Intel Corporation, all rights reserved. -// Copyright (C) 2009, Willow Garage Inc., all rights reserved. -// Third party copyrights are property of their respective owners. -// -// Redistribution and use in source and binary forms, with or without modification, -// are permitted provided that the following conditions are met: -// -// * Redistribution's of source code must retain the above copyright notice, -// this list of conditions and the following disclaimer. -// -// * Redistribution's in binary form must reproduce the above copyright notice, -// this list of conditions and the following disclaimer in the documentation -// and/or other materials provided with the distribution. -// -// * The name of the copyright holders may not be used to endorse or promote products -// derived from this software without specific prior written permission. -// -// This software is provided by the copyright holders and contributors "as is" and -// any express or implied warranties, including, but not limited to, the implied -// warranties of merchantability and fitness for a particular purpose are disclaimed. -// In no event shall the Intel Corporation or contributors be liable for any direct, -// indirect, incidental, special, exemplary, or consequential damages -// (including, but not limited to, procurement of substitute goods or services; -// loss of use, data, or profits; or business interruption) however caused -// and on any theory of liability, whether in contract, strict liability, -// or tort (including negligence or otherwise) arising in any way out of -// the use of this software, even if advised of the possibility of such damage. -// -//M*/ - -#ifndef __OPENCV_CORE_MATRIX_OPERATIONS_HPP__ -#define __OPENCV_CORE_MATRIX_OPERATIONS_HPP__ - -#ifndef SKIP_INCLUDES -#include -#include -#endif // SKIP_INCLUDES - -#ifdef __cplusplus - -namespace cv -{ - -//////////////////////////////// Mat //////////////////////////////// - -inline void Mat::initEmpty() -{ - flags = MAGIC_VAL; - dims = rows = cols = 0; - data = datastart = dataend = datalimit = 0; - refcount = 0; - allocator = 0; -} - -inline Mat::Mat() : size(&rows) -{ - initEmpty(); -} - -inline Mat::Mat(int _rows, int _cols, int _type) : size(&rows) -{ - initEmpty(); - create(_rows, _cols, _type); -} - -inline Mat::Mat(int _rows, int _cols, int _type, const Scalar& _s) : size(&rows) -{ - initEmpty(); - create(_rows, _cols, _type); - *this = _s; -} - -inline Mat::Mat(Size _sz, int _type) : size(&rows) -{ - initEmpty(); - create( _sz.height, _sz.width, _type ); -} - -inline Mat::Mat(Size _sz, int _type, const Scalar& _s) : size(&rows) -{ - initEmpty(); - create(_sz.height, _sz.width, _type); - *this = _s; -} - -inline Mat::Mat(int _dims, const int* _sz, int _type) : size(&rows) -{ - initEmpty(); - create(_dims, _sz, _type); -} - -inline Mat::Mat(int _dims, const int* _sz, int _type, const Scalar& _s) : size(&rows) -{ - initEmpty(); - create(_dims, _sz, _type); - *this = _s; -} - -inline Mat::Mat(const Mat& m) - : flags(m.flags), dims(m.dims), rows(m.rows), cols(m.cols), data(m.data), - refcount(m.refcount), datastart(m.datastart), dataend(m.dataend), - datalimit(m.datalimit), allocator(m.allocator), size(&rows) -{ - if( refcount ) - CV_XADD(refcount, 1); - if( m.dims <= 2 ) - { - step[0] = m.step[0]; step[1] = m.step[1]; - } - else - { - dims = 0; - copySize(m); - } -} - -inline Mat::Mat(int _rows, int _cols, int _type, void* _data, size_t _step) - : flags(MAGIC_VAL + (_type & TYPE_MASK)), dims(2), rows(_rows), cols(_cols), - data((uchar*)_data), refcount(0), datastart((uchar*)_data), dataend(0), - datalimit(0), allocator(0), size(&rows) -{ - size_t esz = CV_ELEM_SIZE(_type), minstep = cols*esz; - if( _step == AUTO_STEP ) - { - _step = minstep; - flags |= CONTINUOUS_FLAG; - } - else - { - if( rows == 1 ) _step = minstep; - CV_DbgAssert( _step >= minstep ); - flags |= _step == minstep ? CONTINUOUS_FLAG : 0; - } - step[0] = _step; step[1] = esz; - datalimit = datastart + _step*rows; - dataend = datalimit - _step + minstep; -} - -inline Mat::Mat(Size _sz, int _type, void* _data, size_t _step) - : flags(MAGIC_VAL + (_type & TYPE_MASK)), dims(2), rows(_sz.height), cols(_sz.width), - data((uchar*)_data), refcount(0), datastart((uchar*)_data), dataend(0), - datalimit(0), allocator(0), size(&rows) -{ - size_t esz = CV_ELEM_SIZE(_type), minstep = cols*esz; - if( _step == AUTO_STEP ) - { - _step = minstep; - flags |= CONTINUOUS_FLAG; - } - else - { - if( rows == 1 ) _step = minstep; - CV_DbgAssert( _step >= minstep ); - flags |= _step == minstep ? CONTINUOUS_FLAG : 0; - } - step[0] = _step; step[1] = esz; - datalimit = datastart + _step*rows; - dataend = datalimit - _step + minstep; -} - - -template inline Mat::Mat(const vector<_Tp>& vec, bool copyData) - : flags(MAGIC_VAL | DataType<_Tp>::type | CV_MAT_CONT_FLAG), - dims(2), rows((int)vec.size()), cols(1), data(0), refcount(0), - datastart(0), dataend(0), allocator(0), size(&rows) -{ - if(vec.empty()) - return; - if( !copyData ) - { - step[0] = step[1] = sizeof(_Tp); - data = datastart = (uchar*)&vec[0]; - datalimit = dataend = datastart + rows*step[0]; - } - else - Mat((int)vec.size(), 1, DataType<_Tp>::type, (uchar*)&vec[0]).copyTo(*this); -} - - -template inline Mat::Mat(const Vec<_Tp, n>& vec, bool copyData) - : flags(MAGIC_VAL | DataType<_Tp>::type | CV_MAT_CONT_FLAG), - dims(2), rows(n), cols(1), data(0), refcount(0), - datastart(0), dataend(0), allocator(0), size(&rows) -{ - if( !copyData ) - { - step[0] = step[1] = sizeof(_Tp); - data = datastart = (uchar*)vec.val; - datalimit = dataend = datastart + rows*step[0]; - } - else - Mat(n, 1, DataType<_Tp>::type, (void*)vec.val).copyTo(*this); -} - - -template inline Mat::Mat(const Matx<_Tp,m,n>& M, bool copyData) - : flags(MAGIC_VAL | DataType<_Tp>::type | CV_MAT_CONT_FLAG), - dims(2), rows(m), cols(n), data(0), refcount(0), - datastart(0), dataend(0), allocator(0), size(&rows) -{ - if( !copyData ) - { - step[0] = cols*sizeof(_Tp); - step[1] = sizeof(_Tp); - data = datastart = (uchar*)M.val; - datalimit = dataend = datastart + rows*step[0]; - } - else - Mat(m, n, DataType<_Tp>::type, (uchar*)M.val).copyTo(*this); -} - - -template inline Mat::Mat(const Point_<_Tp>& pt, bool copyData) - : flags(MAGIC_VAL | DataType<_Tp>::type | CV_MAT_CONT_FLAG), - dims(2), rows(2), cols(1), data(0), refcount(0), - datastart(0), dataend(0), allocator(0), size(&rows) -{ - if( !copyData ) - { - step[0] = step[1] = sizeof(_Tp); - data = datastart = (uchar*)&pt.x; - datalimit = dataend = datastart + rows*step[0]; - } - else - { - create(2, 1, DataType<_Tp>::type); - ((_Tp*)data)[0] = pt.x; - ((_Tp*)data)[1] = pt.y; - } -} - - -template inline Mat::Mat(const Point3_<_Tp>& pt, bool copyData) - : flags(MAGIC_VAL | DataType<_Tp>::type | CV_MAT_CONT_FLAG), - dims(2), rows(3), cols(1), data(0), refcount(0), - datastart(0), dataend(0), allocator(0), size(&rows) -{ - if( !copyData ) - { - step[0] = step[1] = sizeof(_Tp); - data = datastart = (uchar*)&pt.x; - datalimit = dataend = datastart + rows*step[0]; - } - else - { - create(3, 1, DataType<_Tp>::type); - ((_Tp*)data)[0] = pt.x; - ((_Tp*)data)[1] = pt.y; - ((_Tp*)data)[2] = pt.z; - } -} - - -template inline Mat::Mat(const MatCommaInitializer_<_Tp>& commaInitializer) - : flags(MAGIC_VAL | DataType<_Tp>::type | CV_MAT_CONT_FLAG), - dims(0), rows(0), cols(0), data(0), refcount(0), - datastart(0), dataend(0), allocator(0), size(&rows) -{ - *this = *commaInitializer; -} - -inline Mat::~Mat() -{ - release(); - if( step.p != step.buf ) - fastFree(step.p); -} - -inline Mat& Mat::operator = (const Mat& m) -{ - if( this != &m ) - { - if( m.refcount ) - CV_XADD(m.refcount, 1); - release(); - flags = m.flags; - if( dims <= 2 && m.dims <= 2 ) - { - dims = m.dims; - rows = m.rows; - cols = m.cols; - step[0] = m.step[0]; - step[1] = m.step[1]; - } - else - copySize(m); - data = m.data; - datastart = m.datastart; - dataend = m.dataend; - datalimit = m.datalimit; - refcount = m.refcount; - allocator = m.allocator; - } - return *this; -} - -inline Mat Mat::row(int y) const { return Mat(*this, Range(y, y+1), Range::all()); } -inline Mat Mat::col(int x) const { return Mat(*this, Range::all(), Range(x, x+1)); } -inline Mat Mat::rowRange(int startrow, int endrow) const - { return Mat(*this, Range(startrow, endrow), Range::all()); } -inline Mat Mat::rowRange(const Range& r) const - { return Mat(*this, r, Range::all()); } -inline Mat Mat::colRange(int startcol, int endcol) const - { return Mat(*this, Range::all(), Range(startcol, endcol)); } -inline Mat Mat::colRange(const Range& r) const - { return Mat(*this, Range::all(), r); } - -inline Mat Mat::diag(const Mat& d) -{ - CV_Assert( d.cols == 1 || d.rows == 1 ); - int len = d.rows + d.cols - 1; - Mat m(len, len, d.type(), Scalar(0)), md = m.diag(); - if( d.cols == 1 ) - d.copyTo(md); - else - transpose(d, md); - return m; -} - -inline Mat Mat::clone() const -{ - Mat m; - copyTo(m); - return m; -} - -inline void Mat::assignTo( Mat& m, int _type ) const -{ - if( _type < 0 ) - m = *this; - else - convertTo(m, _type); -} - -inline void Mat::create(int _rows, int _cols, int _type) -{ - _type &= TYPE_MASK; - if( dims <= 2 && rows == _rows && cols == _cols && type() == _type && data ) - return; - int sz[] = {_rows, _cols}; - create(2, sz, _type); -} - -inline void Mat::create(Size _sz, int _type) -{ - create(_sz.height, _sz.width, _type); -} - -inline void Mat::addref() -{ if( refcount ) CV_XADD(refcount, 1); } - -inline void Mat::release() -{ - if( refcount && CV_XADD(refcount, -1) == 1 ) - deallocate(); - data = datastart = dataend = datalimit = 0; - for(int i = 0; i < dims; i++) - size.p[i] = 0; -#ifdef _DEBUG - flags = MAGIC_VAL; - dims = rows = cols = 0; - if (step.p != step.buf) - { - fastFree(step.p); - step.p = step.buf; - size.p = &rows; - } -#endif - refcount = 0; -} - -inline Mat Mat::operator()( Range _rowRange, Range _colRange ) const -{ - return Mat(*this, _rowRange, _colRange); -} - -inline Mat Mat::operator()( const Rect& roi ) const -{ return Mat(*this, roi); } - -inline Mat Mat::operator()(const Range* ranges) const -{ - return Mat(*this, ranges); -} - -inline Mat::operator CvMat() const -{ - CV_DbgAssert(dims <= 2); - CvMat m = cvMat(rows, dims == 1 ? 1 : cols, type(), data); - m.step = (int)step[0]; - m.type = (m.type & ~CONTINUOUS_FLAG) | (flags & CONTINUOUS_FLAG); - return m; -} - -inline bool Mat::isContinuous() const { return (flags & CONTINUOUS_FLAG) != 0; } -inline bool Mat::isSubmatrix() const { return (flags & SUBMATRIX_FLAG) != 0; } -inline size_t Mat::elemSize() const { return dims > 0 ? step.p[dims-1] : 0; } -inline size_t Mat::elemSize1() const { return CV_ELEM_SIZE1(flags); } -inline int Mat::type() const { return CV_MAT_TYPE(flags); } -inline int Mat::depth() const { return CV_MAT_DEPTH(flags); } -inline int Mat::channels() const { return CV_MAT_CN(flags); } -inline size_t Mat::step1(int i) const { return step.p[i]/elemSize1(); } -inline bool Mat::empty() const { return data == 0 || total() == 0; } -inline size_t Mat::total() const -{ - if( dims <= 2 ) - return (size_t)rows*cols; - size_t p = 1; - for( int i = 0; i < dims; i++ ) - p *= size[i]; - return p; -} - -inline uchar* Mat::ptr(int y) -{ - CV_DbgAssert( y == 0 || (data && dims >= 1 && (unsigned)y < (unsigned)size.p[0]) ); - return data + step.p[0]*y; -} - -inline const uchar* Mat::ptr(int y) const -{ - CV_DbgAssert( y == 0 || (data && dims >= 1 && (unsigned)y < (unsigned)size.p[0]) ); - return data + step.p[0]*y; -} - -template inline _Tp* Mat::ptr(int y) -{ - CV_DbgAssert( y == 0 || (data && dims >= 1 && (unsigned)y < (unsigned)size.p[0]) ); - return (_Tp*)(data + step.p[0]*y); -} - -template inline const _Tp* Mat::ptr(int y) const -{ - CV_DbgAssert( y == 0 || (data && dims >= 1 && (unsigned)y < (unsigned)size.p[0]) ); - return (const _Tp*)(data + step.p[0]*y); -} - - -inline uchar* Mat::ptr(int i0, int i1) -{ - CV_DbgAssert( dims >= 2 && data && - (unsigned)i0 < (unsigned)size.p[0] && - (unsigned)i1 < (unsigned)size.p[1] ); - return data + i0*step.p[0] + i1*step.p[1]; -} - -inline const uchar* Mat::ptr(int i0, int i1) const -{ - CV_DbgAssert( dims >= 2 && data && - (unsigned)i0 < (unsigned)size.p[0] && - (unsigned)i1 < (unsigned)size.p[1] ); - return data + i0*step.p[0] + i1*step.p[1]; -} - -template inline _Tp* Mat::ptr(int i0, int i1) -{ - CV_DbgAssert( dims >= 2 && data && - (unsigned)i0 < (unsigned)size.p[0] && - (unsigned)i1 < (unsigned)size.p[1] ); - return (_Tp*)(data + i0*step.p[0] + i1*step.p[1]); -} - -template inline const _Tp* Mat::ptr(int i0, int i1) const -{ - CV_DbgAssert( dims >= 2 && data && - (unsigned)i0 < (unsigned)size.p[0] && - (unsigned)i1 < (unsigned)size.p[1] ); - return (const _Tp*)(data + i0*step.p[0] + i1*step.p[1]); -} - -inline uchar* Mat::ptr(int i0, int i1, int i2) -{ - CV_DbgAssert( dims >= 3 && data && - (unsigned)i0 < (unsigned)size.p[0] && - (unsigned)i1 < (unsigned)size.p[1] && - (unsigned)i2 < (unsigned)size.p[2] ); - return data + i0*step.p[0] + i1*step.p[1] + i2*step.p[2]; -} - -inline const uchar* Mat::ptr(int i0, int i1, int i2) const -{ - CV_DbgAssert( dims >= 3 && data && - (unsigned)i0 < (unsigned)size.p[0] && - (unsigned)i1 < (unsigned)size.p[1] && - (unsigned)i2 < (unsigned)size.p[2] ); - return data + i0*step.p[0] + i1*step.p[1] + i2*step.p[2]; -} - -template inline _Tp* Mat::ptr(int i0, int i1, int i2) -{ - CV_DbgAssert( dims >= 3 && data && - (unsigned)i0 < (unsigned)size.p[0] && - (unsigned)i1 < (unsigned)size.p[1] && - (unsigned)i2 < (unsigned)size.p[2] ); - return (_Tp*)(data + i0*step.p[0] + i1*step.p[1] + i2*step.p[2]); -} - -template inline const _Tp* Mat::ptr(int i0, int i1, int i2) const -{ - CV_DbgAssert( dims >= 3 && data && - (unsigned)i0 < (unsigned)size.p[0] && - (unsigned)i1 < (unsigned)size.p[1] && - (unsigned)i2 < (unsigned)size.p[2] ); - return (const _Tp*)(data + i0*step.p[0] + i1*step.p[1] + i2*step.p[2]); -} - -inline uchar* Mat::ptr(const int* idx) -{ - int i, d = dims; - uchar* p = data; - CV_DbgAssert( d >= 1 && p ); - for( i = 0; i < d; i++ ) - { - CV_DbgAssert( (unsigned)idx[i] < (unsigned)size.p[i] ); - p += idx[i]*step.p[i]; - } - return p; -} - -inline const uchar* Mat::ptr(const int* idx) const -{ - int i, d = dims; - uchar* p = data; - CV_DbgAssert( d >= 1 && p ); - for( i = 0; i < d; i++ ) - { - CV_DbgAssert( (unsigned)idx[i] < (unsigned)size.p[i] ); - p += idx[i]*step.p[i]; - } - return p; -} - -template inline _Tp& Mat::at(int i0, int i1) -{ - CV_DbgAssert( dims <= 2 && data && (unsigned)i0 < (unsigned)size.p[0] && - (unsigned)(i1*DataType<_Tp>::channels) < (unsigned)(size.p[1]*channels()) && - CV_ELEM_SIZE1(DataType<_Tp>::depth) == elemSize1()); - return ((_Tp*)(data + step.p[0]*i0))[i1]; -} - -template inline const _Tp& Mat::at(int i0, int i1) const -{ - CV_DbgAssert( dims <= 2 && data && (unsigned)i0 < (unsigned)size.p[0] && - (unsigned)(i1*DataType<_Tp>::channels) < (unsigned)(size.p[1]*channels()) && - CV_ELEM_SIZE1(DataType<_Tp>::depth) == elemSize1()); - return ((const _Tp*)(data + step.p[0]*i0))[i1]; -} - -template inline _Tp& Mat::at(Point pt) -{ - CV_DbgAssert( dims <= 2 && data && (unsigned)pt.y < (unsigned)size.p[0] && - (unsigned)(pt.x*DataType<_Tp>::channels) < (unsigned)(size.p[1]*channels()) && - CV_ELEM_SIZE1(DataType<_Tp>::depth) == elemSize1()); - return ((_Tp*)(data + step.p[0]*pt.y))[pt.x]; -} - -template inline const _Tp& Mat::at(Point pt) const -{ - CV_DbgAssert( dims <= 2 && data && (unsigned)pt.y < (unsigned)size.p[0] && - (unsigned)(pt.x*DataType<_Tp>::channels) < (unsigned)(size.p[1]*channels()) && - CV_ELEM_SIZE1(DataType<_Tp>::depth) == elemSize1()); - return ((const _Tp*)(data + step.p[0]*pt.y))[pt.x]; -} - -template inline _Tp& Mat::at(int i0) -{ - CV_DbgAssert( dims <= 2 && data && - (unsigned)i0 < (unsigned)(size.p[0]*size.p[1]) && - elemSize() == CV_ELEM_SIZE(DataType<_Tp>::type) ); - if( isContinuous() || size.p[0] == 1 ) - return ((_Tp*)data)[i0]; - if( size.p[1] == 1 ) - return *(_Tp*)(data + step.p[0]*i0); - int i = i0/cols, j = i0 - i*cols; - return ((_Tp*)(data + step.p[0]*i))[j]; -} - -template inline const _Tp& Mat::at(int i0) const -{ - CV_DbgAssert( dims <= 2 && data && - (unsigned)i0 < (unsigned)(size.p[0]*size.p[1]) && - elemSize() == CV_ELEM_SIZE(DataType<_Tp>::type) ); - if( isContinuous() || size.p[0] == 1 ) - return ((const _Tp*)data)[i0]; - if( size.p[1] == 1 ) - return *(const _Tp*)(data + step.p[0]*i0); - int i = i0/cols, j = i0 - i*cols; - return ((const _Tp*)(data + step.p[0]*i))[j]; -} - -template inline _Tp& Mat::at(int i0, int i1, int i2) -{ - CV_DbgAssert( elemSize() == CV_ELEM_SIZE(DataType<_Tp>::type) ); - return *(_Tp*)ptr(i0, i1, i2); -} -template inline const _Tp& Mat::at(int i0, int i1, int i2) const -{ - CV_DbgAssert( elemSize() == CV_ELEM_SIZE(DataType<_Tp>::type) ); - return *(const _Tp*)ptr(i0, i1, i2); -} -template inline _Tp& Mat::at(const int* idx) -{ - CV_DbgAssert( elemSize() == CV_ELEM_SIZE(DataType<_Tp>::type) ); - return *(_Tp*)ptr(idx); -} -template inline const _Tp& Mat::at(const int* idx) const -{ - CV_DbgAssert( elemSize() == CV_ELEM_SIZE(DataType<_Tp>::type) ); - return *(const _Tp*)ptr(idx); -} -template _Tp& Mat::at(const Vec& idx) -{ - CV_DbgAssert( elemSize() == CV_ELEM_SIZE(DataType<_Tp>::type) ); - return *(_Tp*)ptr(idx.val); -} -template inline const _Tp& Mat::at(const Vec& idx) const -{ - CV_DbgAssert( elemSize() == CV_ELEM_SIZE(DataType<_Tp>::type) ); - return *(const _Tp*)ptr(idx.val); -} - - -template inline MatConstIterator_<_Tp> Mat::begin() const -{ - CV_DbgAssert( elemSize() == sizeof(_Tp) ); - return MatConstIterator_<_Tp>((const Mat_<_Tp>*)this); -} - -template inline MatConstIterator_<_Tp> Mat::end() const -{ - CV_DbgAssert( elemSize() == sizeof(_Tp) ); - MatConstIterator_<_Tp> it((const Mat_<_Tp>*)this); - it += total(); - return it; -} - -template inline MatIterator_<_Tp> Mat::begin() -{ - CV_DbgAssert( elemSize() == sizeof(_Tp) ); - return MatIterator_<_Tp>((Mat_<_Tp>*)this); -} - -template inline MatIterator_<_Tp> Mat::end() -{ - CV_DbgAssert( elemSize() == sizeof(_Tp) ); - MatIterator_<_Tp> it((Mat_<_Tp>*)this); - it += total(); - return it; -} - -template inline Mat::operator vector<_Tp>() const -{ - vector<_Tp> v; - copyTo(v); - return v; -} - -template inline Mat::operator Vec<_Tp, n>() const -{ - CV_Assert( data && dims <= 2 && (rows == 1 || cols == 1) && - rows + cols - 1 == n && channels() == 1 ); - - if( isContinuous() && type() == DataType<_Tp>::type ) - return Vec<_Tp, n>((_Tp*)data); - Vec<_Tp, n> v; Mat tmp(rows, cols, DataType<_Tp>::type, v.val); - convertTo(tmp, tmp.type()); - return v; -} - -template inline Mat::operator Matx<_Tp, m, n>() const -{ - CV_Assert( data && dims <= 2 && rows == m && cols == n && channels() == 1 ); - - if( isContinuous() && type() == DataType<_Tp>::type ) - return Matx<_Tp, m, n>((_Tp*)data); - Matx<_Tp, m, n> mtx; Mat tmp(rows, cols, DataType<_Tp>::type, mtx.val); - convertTo(tmp, tmp.type()); - return mtx; -} - - -template inline void Mat::push_back(const _Tp& elem) -{ - if( !data ) - { - CV_Assert((type()==0) || (DataType<_Tp>::type == type())); - - *this = Mat(1, 1, DataType<_Tp>::type, (void*)&elem).clone(); - return; - } - CV_Assert(DataType<_Tp>::type == type() && cols == 1 - /* && dims == 2 (cols == 1 implies dims == 2) */); - uchar* tmp = dataend + step[0]; - if( !isSubmatrix() && isContinuous() && tmp <= datalimit ) - { - *(_Tp*)(data + (size.p[0]++)*step.p[0]) = elem; - dataend = tmp; - } - else - push_back_(&elem); -} - -template inline void Mat::push_back(const Mat_<_Tp>& m) -{ - push_back((const Mat&)m); -} - -inline Mat::MSize::MSize(int* _p) : p(_p) {} -inline Size Mat::MSize::operator()() const -{ - CV_DbgAssert(p[-1] <= 2); - return Size(p[1], p[0]); -} -inline const int& Mat::MSize::operator[](int i) const { return p[i]; } -inline int& Mat::MSize::operator[](int i) { return p[i]; } -inline Mat::MSize::operator const int*() const { return p; } - -inline bool Mat::MSize::operator == (const MSize& sz) const -{ - int d = p[-1], dsz = sz.p[-1]; - if( d != dsz ) - return false; - if( d == 2 ) - return p[0] == sz.p[0] && p[1] == sz.p[1]; - - for( int i = 0; i < d; i++ ) - if( p[i] != sz.p[i] ) - return false; - return true; -} - -inline bool Mat::MSize::operator != (const MSize& sz) const -{ - return !(*this == sz); -} - -inline Mat::MStep::MStep() { p = buf; p[0] = p[1] = 0; } -inline Mat::MStep::MStep(size_t s) { p = buf; p[0] = s; p[1] = 0; } -inline const size_t& Mat::MStep::operator[](int i) const { return p[i]; } -inline size_t& Mat::MStep::operator[](int i) { return p[i]; } -inline Mat::MStep::operator size_t() const -{ - CV_DbgAssert( p == buf ); - return buf[0]; -} -inline Mat::MStep& Mat::MStep::operator = (size_t s) -{ - CV_DbgAssert( p == buf ); - buf[0] = s; - return *this; -} - -static inline Mat cvarrToMatND(const CvArr* arr, bool copyData=false, int coiMode=0) -{ - return cvarrToMat(arr, copyData, true, coiMode); -} - -///////////////////////////////////////////// SVD ////////////////////////////////////////////////////// - -inline SVD::SVD() {} -inline SVD::SVD( InputArray m, int flags ) { operator ()(m, flags); } -inline void SVD::solveZ( InputArray m, OutputArray _dst ) -{ - Mat mtx = m.getMat(); - SVD svd(mtx, (mtx.rows >= mtx.cols ? 0 : SVD::FULL_UV)); - _dst.create(svd.vt.cols, 1, svd.vt.type()); - Mat dst = _dst.getMat(); - svd.vt.row(svd.vt.rows-1).reshape(1,svd.vt.cols).copyTo(dst); -} - -template inline void - SVD::compute( const Matx<_Tp, m, n>& a, Matx<_Tp, nm, 1>& w, Matx<_Tp, m, nm>& u, Matx<_Tp, n, nm>& vt ) -{ - assert( nm == MIN(m, n)); - Mat _a(a, false), _u(u, false), _w(w, false), _vt(vt, false); - SVD::compute(_a, _w, _u, _vt); - CV_Assert(_w.data == (uchar*)&w.val[0] && _u.data == (uchar*)&u.val[0] && _vt.data == (uchar*)&vt.val[0]); -} - -template inline void -SVD::compute( const Matx<_Tp, m, n>& a, Matx<_Tp, nm, 1>& w ) -{ - assert( nm == MIN(m, n)); - Mat _a(a, false), _w(w, false); - SVD::compute(_a, _w); - CV_Assert(_w.data == (uchar*)&w.val[0]); -} - -template inline void -SVD::backSubst( const Matx<_Tp, nm, 1>& w, const Matx<_Tp, m, nm>& u, - const Matx<_Tp, n, nm>& vt, const Matx<_Tp, m, nb>& rhs, - Matx<_Tp, n, nb>& dst ) -{ - assert( nm == MIN(m, n)); - Mat _u(u, false), _w(w, false), _vt(vt, false), _rhs(rhs, false), _dst(dst, false); - SVD::backSubst(_w, _u, _vt, _rhs, _dst); - CV_Assert(_dst.data == (uchar*)&dst.val[0]); -} - -///////////////////////////////// Mat_<_Tp> //////////////////////////////////// - -template inline Mat_<_Tp>::Mat_() - : Mat() { flags = (flags & ~CV_MAT_TYPE_MASK) | DataType<_Tp>::type; } - -template inline Mat_<_Tp>::Mat_(int _rows, int _cols) - : Mat(_rows, _cols, DataType<_Tp>::type) {} - -template inline Mat_<_Tp>::Mat_(int _rows, int _cols, const _Tp& value) - : Mat(_rows, _cols, DataType<_Tp>::type) { *this = value; } - -template inline Mat_<_Tp>::Mat_(Size _sz) - : Mat(_sz.height, _sz.width, DataType<_Tp>::type) {} - -template inline Mat_<_Tp>::Mat_(Size _sz, const _Tp& value) - : Mat(_sz.height, _sz.width, DataType<_Tp>::type) { *this = value; } - -template inline Mat_<_Tp>::Mat_(int _dims, const int* _sz) - : Mat(_dims, _sz, DataType<_Tp>::type) {} - -template inline Mat_<_Tp>::Mat_(int _dims, const int* _sz, const _Tp& _s) - : Mat(_dims, _sz, DataType<_Tp>::type, Scalar(_s)) {} - -template inline Mat_<_Tp>::Mat_(int _dims, const int* _sz, _Tp* _data, const size_t* _steps) - : Mat(_dims, _sz, DataType<_Tp>::type, _data, _steps) {} - -template inline Mat_<_Tp>::Mat_(const Mat_<_Tp>& m, const Range* ranges) - : Mat(m, ranges) {} - -template inline Mat_<_Tp>::Mat_(const Mat& m) - : Mat() { flags = (flags & ~CV_MAT_TYPE_MASK) | DataType<_Tp>::type; *this = m; } - -template inline Mat_<_Tp>::Mat_(const Mat_& m) - : Mat(m) {} - -template inline Mat_<_Tp>::Mat_(int _rows, int _cols, _Tp* _data, size_t steps) - : Mat(_rows, _cols, DataType<_Tp>::type, _data, steps) {} - -template inline Mat_<_Tp>::Mat_(const Mat_& m, const Range& _rowRange, const Range& _colRange) - : Mat(m, _rowRange, _colRange) {} - -template inline Mat_<_Tp>::Mat_(const Mat_& m, const Rect& roi) - : Mat(m, roi) {} - -template template inline - Mat_<_Tp>::Mat_(const Vec::channel_type, n>& vec, bool copyData) - : Mat(n/DataType<_Tp>::channels, 1, DataType<_Tp>::type, (void*)&vec) -{ - CV_Assert(n%DataType<_Tp>::channels == 0); - if( copyData ) - *this = clone(); -} - -template template inline - Mat_<_Tp>::Mat_(const Matx::channel_type,m,n>& M, bool copyData) - : Mat(m, n/DataType<_Tp>::channels, DataType<_Tp>::type, (void*)&M) -{ - CV_Assert(n % DataType<_Tp>::channels == 0); - if( copyData ) - *this = clone(); -} - -template inline Mat_<_Tp>::Mat_(const Point_::channel_type>& pt, bool copyData) - : Mat(2/DataType<_Tp>::channels, 1, DataType<_Tp>::type, (void*)&pt) -{ - CV_Assert(2 % DataType<_Tp>::channels == 0); - if( copyData ) - *this = clone(); -} - -template inline Mat_<_Tp>::Mat_(const Point3_::channel_type>& pt, bool copyData) - : Mat(3/DataType<_Tp>::channels, 1, DataType<_Tp>::type, (void*)&pt) -{ - CV_Assert(3 % DataType<_Tp>::channels == 0); - if( copyData ) - *this = clone(); -} - -template inline Mat_<_Tp>::Mat_(const MatCommaInitializer_<_Tp>& commaInitializer) - : Mat(commaInitializer) {} - -template inline Mat_<_Tp>::Mat_(const vector<_Tp>& vec, bool copyData) - : Mat(vec, copyData) {} - -template inline Mat_<_Tp>& Mat_<_Tp>::operator = (const Mat& m) -{ - if( DataType<_Tp>::type == m.type() ) - { - Mat::operator = (m); - return *this; - } - if( DataType<_Tp>::depth == m.depth() ) - { - return (*this = m.reshape(DataType<_Tp>::channels, m.dims, 0)); - } - CV_DbgAssert(DataType<_Tp>::channels == m.channels()); - m.convertTo(*this, type()); - return *this; -} - -template inline Mat_<_Tp>& Mat_<_Tp>::operator = (const Mat_& m) -{ - Mat::operator=(m); - return *this; -} - -template inline Mat_<_Tp>& Mat_<_Tp>::operator = (const _Tp& s) -{ - typedef typename DataType<_Tp>::vec_type VT; - Mat::operator=(Scalar((const VT&)s)); - return *this; -} - -template inline void Mat_<_Tp>::create(int _rows, int _cols) -{ - Mat::create(_rows, _cols, DataType<_Tp>::type); -} - -template inline void Mat_<_Tp>::create(Size _sz) -{ - Mat::create(_sz, DataType<_Tp>::type); -} - -template inline void Mat_<_Tp>::create(int _dims, const int* _sz) -{ - Mat::create(_dims, _sz, DataType<_Tp>::type); -} - - -template inline Mat_<_Tp> Mat_<_Tp>::cross(const Mat_& m) const -{ return Mat_<_Tp>(Mat::cross(m)); } - -template template inline Mat_<_Tp>::operator Mat_() const -{ return Mat_(*this); } - -template inline Mat_<_Tp> Mat_<_Tp>::row(int y) const -{ return Mat_(*this, Range(y, y+1), Range::all()); } -template inline Mat_<_Tp> Mat_<_Tp>::col(int x) const -{ return Mat_(*this, Range::all(), Range(x, x+1)); } -template inline Mat_<_Tp> Mat_<_Tp>::diag(int d) const -{ return Mat_(Mat::diag(d)); } -template inline Mat_<_Tp> Mat_<_Tp>::clone() const -{ return Mat_(Mat::clone()); } - -template inline size_t Mat_<_Tp>::elemSize() const -{ - CV_DbgAssert( Mat::elemSize() == sizeof(_Tp) ); - return sizeof(_Tp); -} - -template inline size_t Mat_<_Tp>::elemSize1() const -{ - CV_DbgAssert( Mat::elemSize1() == sizeof(_Tp)/DataType<_Tp>::channels ); - return sizeof(_Tp)/DataType<_Tp>::channels; -} -template inline int Mat_<_Tp>::type() const -{ - CV_DbgAssert( Mat::type() == DataType<_Tp>::type ); - return DataType<_Tp>::type; -} -template inline int Mat_<_Tp>::depth() const -{ - CV_DbgAssert( Mat::depth() == DataType<_Tp>::depth ); - return DataType<_Tp>::depth; -} -template inline int Mat_<_Tp>::channels() const -{ - CV_DbgAssert( Mat::channels() == DataType<_Tp>::channels ); - return DataType<_Tp>::channels; -} -template inline size_t Mat_<_Tp>::stepT(int i) const { return step.p[i]/elemSize(); } -template inline size_t Mat_<_Tp>::step1(int i) const { return step.p[i]/elemSize1(); } - -template inline Mat_<_Tp>& Mat_<_Tp>::adjustROI( int dtop, int dbottom, int dleft, int dright ) -{ return (Mat_<_Tp>&)(Mat::adjustROI(dtop, dbottom, dleft, dright)); } - -template inline Mat_<_Tp> Mat_<_Tp>::operator()( const Range& _rowRange, const Range& _colRange ) const -{ return Mat_<_Tp>(*this, _rowRange, _colRange); } - -template inline Mat_<_Tp> Mat_<_Tp>::operator()( const Rect& roi ) const -{ return Mat_<_Tp>(*this, roi); } - -template inline Mat_<_Tp> Mat_<_Tp>::operator()( const Range* ranges ) const -{ return Mat_<_Tp>(*this, ranges); } - -template inline _Tp* Mat_<_Tp>::operator [](int y) -{ return (_Tp*)ptr(y); } -template inline const _Tp* Mat_<_Tp>::operator [](int y) const -{ return (const _Tp*)ptr(y); } - -template inline _Tp& Mat_<_Tp>::operator ()(int i0, int i1) -{ - CV_DbgAssert( dims <= 2 && data && - (unsigned)i0 < (unsigned)size.p[0] && - (unsigned)i1 < (unsigned)size.p[1] && - type() == DataType<_Tp>::type ); - return ((_Tp*)(data + step.p[0]*i0))[i1]; -} - -template inline const _Tp& Mat_<_Tp>::operator ()(int i0, int i1) const -{ - CV_DbgAssert( dims <= 2 && data && - (unsigned)i0 < (unsigned)size.p[0] && - (unsigned)i1 < (unsigned)size.p[1] && - type() == DataType<_Tp>::type ); - return ((const _Tp*)(data + step.p[0]*i0))[i1]; -} - -template inline _Tp& Mat_<_Tp>::operator ()(Point pt) -{ - CV_DbgAssert( dims <= 2 && data && - (unsigned)pt.y < (unsigned)size.p[0] && - (unsigned)pt.x < (unsigned)size.p[1] && - type() == DataType<_Tp>::type ); - return ((_Tp*)(data + step.p[0]*pt.y))[pt.x]; -} - -template inline const _Tp& Mat_<_Tp>::operator ()(Point pt) const -{ - CV_DbgAssert( dims <= 2 && data && - (unsigned)pt.y < (unsigned)size.p[0] && - (unsigned)pt.x < (unsigned)size.p[1] && - type() == DataType<_Tp>::type ); - return ((const _Tp*)(data + step.p[0]*pt.y))[pt.x]; -} - -template inline _Tp& Mat_<_Tp>::operator ()(const int* idx) -{ - return Mat::at<_Tp>(idx); -} - -template inline const _Tp& Mat_<_Tp>::operator ()(const int* idx) const -{ - return Mat::at<_Tp>(idx); -} - -template template inline _Tp& Mat_<_Tp>::operator ()(const Vec& idx) -{ - return Mat::at<_Tp>(idx); -} - -template template inline const _Tp& Mat_<_Tp>::operator ()(const Vec& idx) const -{ - return Mat::at<_Tp>(idx); -} - -template inline _Tp& Mat_<_Tp>::operator ()(int i0) -{ - return this->at<_Tp>(i0); -} - -template inline const _Tp& Mat_<_Tp>::operator ()(int i0) const -{ - return this->at<_Tp>(i0); -} - -template inline _Tp& Mat_<_Tp>::operator ()(int i0, int i1, int i2) -{ - return this->at<_Tp>(i0, i1, i2); -} - -template inline const _Tp& Mat_<_Tp>::operator ()(int i0, int i1, int i2) const -{ - return this->at<_Tp>(i0, i1, i2); -} - - -template inline Mat_<_Tp>::operator vector<_Tp>() const -{ - vector<_Tp> v; - copyTo(v); - return v; -} - -template template inline Mat_<_Tp>::operator Vec::channel_type, n>() const -{ - CV_Assert(n % DataType<_Tp>::channels == 0); - return this->Mat::operator Vec::channel_type, n>(); -} - -template template inline Mat_<_Tp>::operator Matx::channel_type, m, n>() const -{ - CV_Assert(n % DataType<_Tp>::channels == 0); - - Matx::channel_type, m, n> res = this->Mat::operator Matx::channel_type, m, n>(); - return res; -} - -template inline void -process( const Mat_& m1, Mat_& m2, Op op ) -{ - int y, x, rows = m1.rows, cols = m1.cols; - - CV_DbgAssert( m1.size() == m2.size() ); - - for( y = 0; y < rows; y++ ) - { - const T1* src = m1[y]; - T2* dst = m2[y]; - - for( x = 0; x < cols; x++ ) - dst[x] = op(src[x]); - } -} - -template inline void -process( const Mat_& m1, const Mat_& m2, Mat_& m3, Op op ) -{ - int y, x, rows = m1.rows, cols = m1.cols; - - CV_DbgAssert( m1.size() == m2.size() ); - - for( y = 0; y < rows; y++ ) - { - const T1* src1 = m1[y]; - const T2* src2 = m2[y]; - T3* dst = m3[y]; - - for( x = 0; x < cols; x++ ) - dst[x] = op( src1[x], src2[x] ); - } -} - - -/////////////////////////////// Input/Output Arrays ///////////////////////////////// - -template inline _InputArray::_InputArray(const vector<_Tp>& vec) - : flags(FIXED_TYPE + STD_VECTOR + DataType<_Tp>::type), obj((void*)&vec) {} - -template inline _InputArray::_InputArray(const vector >& vec) - : flags(FIXED_TYPE + STD_VECTOR_VECTOR + DataType<_Tp>::type), obj((void*)&vec) {} - -template inline _InputArray::_InputArray(const vector >& vec) - : flags(FIXED_TYPE + STD_VECTOR_MAT + DataType<_Tp>::type), obj((void*)&vec) {} - -template inline _InputArray::_InputArray(const Matx<_Tp, m, n>& mtx) - : flags(FIXED_TYPE + FIXED_SIZE + MATX + DataType<_Tp>::type), obj((void*)&mtx), sz(n, m) {} - -template inline _InputArray::_InputArray(const _Tp* vec, int n) - : flags(FIXED_TYPE + FIXED_SIZE + MATX + DataType<_Tp>::type), obj((void*)vec), sz(n, 1) {} - -inline _InputArray::_InputArray(const Scalar& s) - : flags(FIXED_TYPE + FIXED_SIZE + MATX + CV_64F), obj((void*)&s), sz(1, 4) {} - -template inline _InputArray::_InputArray(const Mat_<_Tp>& m) - : flags(FIXED_TYPE + MAT + DataType<_Tp>::type), obj((void*)&m) {} - -template inline _OutputArray::_OutputArray(vector<_Tp>& vec) - : _InputArray(vec) {} -template inline _OutputArray::_OutputArray(vector >& vec) - : _InputArray(vec) {} -template inline _OutputArray::_OutputArray(vector >& vec) - : _InputArray(vec) {} -template inline _OutputArray::_OutputArray(Mat_<_Tp>& m) - : _InputArray(m) {} -template inline _OutputArray::_OutputArray(Matx<_Tp, m, n>& mtx) - : _InputArray(mtx) {} -template inline _OutputArray::_OutputArray(_Tp* vec, int n) - : _InputArray(vec, n) {} - -template inline _OutputArray::_OutputArray(const vector<_Tp>& vec) - : _InputArray(vec) {flags |= FIXED_SIZE;} -template inline _OutputArray::_OutputArray(const vector >& vec) - : _InputArray(vec) {flags |= FIXED_SIZE;} -template inline _OutputArray::_OutputArray(const vector >& vec) - : _InputArray(vec) {flags |= FIXED_SIZE;} - -template inline _OutputArray::_OutputArray(const Mat_<_Tp>& m) - : _InputArray(m) {flags |= FIXED_SIZE;} -template inline _OutputArray::_OutputArray(const Matx<_Tp, m, n>& mtx) - : _InputArray(mtx) {} -template inline _OutputArray::_OutputArray(const _Tp* vec, int n) - : _InputArray(vec, n) {} - -//////////////////////////////////// Matrix Expressions ///////////////////////////////////////// - -class CV_EXPORTS MatOp -{ -public: - MatOp() {}; - virtual ~MatOp() {}; - - virtual bool elementWise(const MatExpr& expr) const; - virtual void assign(const MatExpr& expr, Mat& m, int type=-1) const = 0; - virtual void roi(const MatExpr& expr, const Range& rowRange, - const Range& colRange, MatExpr& res) const; - virtual void diag(const MatExpr& expr, int d, MatExpr& res) const; - virtual void augAssignAdd(const MatExpr& expr, Mat& m) const; - virtual void augAssignSubtract(const MatExpr& expr, Mat& m) const; - virtual void augAssignMultiply(const MatExpr& expr, Mat& m) const; - virtual void augAssignDivide(const MatExpr& expr, Mat& m) const; - virtual void augAssignAnd(const MatExpr& expr, Mat& m) const; - virtual void augAssignOr(const MatExpr& expr, Mat& m) const; - virtual void augAssignXor(const MatExpr& expr, Mat& m) const; - - virtual void add(const MatExpr& expr1, const MatExpr& expr2, MatExpr& res) const; - virtual void add(const MatExpr& expr1, const Scalar& s, MatExpr& res) const; - - virtual void subtract(const MatExpr& expr1, const MatExpr& expr2, MatExpr& res) const; - virtual void subtract(const Scalar& s, const MatExpr& expr, MatExpr& res) const; - - virtual void multiply(const MatExpr& expr1, const MatExpr& expr2, MatExpr& res, double scale=1) const; - virtual void multiply(const MatExpr& expr1, double s, MatExpr& res) const; - - virtual void divide(const MatExpr& expr1, const MatExpr& expr2, MatExpr& res, double scale=1) const; - virtual void divide(double s, const MatExpr& expr, MatExpr& res) const; - - virtual void abs(const MatExpr& expr, MatExpr& res) const; - - virtual void transpose(const MatExpr& expr, MatExpr& res) const; - virtual void matmul(const MatExpr& expr1, const MatExpr& expr2, MatExpr& res) const; - virtual void invert(const MatExpr& expr, int method, MatExpr& res) const; - - virtual Size size(const MatExpr& expr) const; - virtual int type(const MatExpr& expr) const; -}; - - -class CV_EXPORTS MatExpr -{ -public: - MatExpr() : op(0), flags(0), a(Mat()), b(Mat()), c(Mat()), alpha(0), beta(0), s(Scalar()) {} - MatExpr(const MatOp* _op, int _flags, const Mat& _a=Mat(), const Mat& _b=Mat(), - const Mat& _c=Mat(), double _alpha=1, double _beta=1, const Scalar& _s=Scalar()) - : op(_op), flags(_flags), a(_a), b(_b), c(_c), alpha(_alpha), beta(_beta), s(_s) {} - explicit MatExpr(const Mat& m); - operator Mat() const - { - Mat m; - op->assign(*this, m); - return m; - } - - template operator Mat_<_Tp>() const - { - Mat_<_Tp> m; - op->assign(*this, m, DataType<_Tp>::type); - return m; - } - - MatExpr row(int y) const; - MatExpr col(int x) const; - MatExpr diag(int d=0) const; - MatExpr operator()( const Range& rowRange, const Range& colRange ) const; - MatExpr operator()( const Rect& roi ) const; - - Mat cross(const Mat& m) const; - double dot(const Mat& m) const; - - MatExpr t() const; - MatExpr inv(int method = DECOMP_LU) const; - MatExpr mul(const MatExpr& e, double scale=1) const; - MatExpr mul(const Mat& m, double scale=1) const; - - Size size() const; - int type() const; - - const MatOp* op; - int flags; - - Mat a, b, c; - double alpha, beta; - Scalar s; -}; - - -CV_EXPORTS MatExpr operator + (const Mat& a, const Mat& b); -CV_EXPORTS MatExpr operator + (const Mat& a, const Scalar& s); -CV_EXPORTS MatExpr operator + (const Scalar& s, const Mat& a); -CV_EXPORTS MatExpr operator + (const MatExpr& e, const Mat& m); -CV_EXPORTS MatExpr operator + (const Mat& m, const MatExpr& e); -CV_EXPORTS MatExpr operator + (const MatExpr& e, const Scalar& s); -CV_EXPORTS MatExpr operator + (const Scalar& s, const MatExpr& e); -CV_EXPORTS MatExpr operator + (const MatExpr& e1, const MatExpr& e2); - -CV_EXPORTS MatExpr operator - (const Mat& a, const Mat& b); -CV_EXPORTS MatExpr operator - (const Mat& a, const Scalar& s); -CV_EXPORTS MatExpr operator - (const Scalar& s, const Mat& a); -CV_EXPORTS MatExpr operator - (const MatExpr& e, const Mat& m); -CV_EXPORTS MatExpr operator - (const Mat& m, const MatExpr& e); -CV_EXPORTS MatExpr operator - (const MatExpr& e, const Scalar& s); -CV_EXPORTS MatExpr operator - (const Scalar& s, const MatExpr& e); -CV_EXPORTS MatExpr operator - (const MatExpr& e1, const MatExpr& e2); - -CV_EXPORTS MatExpr operator - (const Mat& m); -CV_EXPORTS MatExpr operator - (const MatExpr& e); - -CV_EXPORTS MatExpr operator * (const Mat& a, const Mat& b); -CV_EXPORTS MatExpr operator * (const Mat& a, double s); -CV_EXPORTS MatExpr operator * (double s, const Mat& a); -CV_EXPORTS MatExpr operator * (const MatExpr& e, const Mat& m); -CV_EXPORTS MatExpr operator * (const Mat& m, const MatExpr& e); -CV_EXPORTS MatExpr operator * (const MatExpr& e, double s); -CV_EXPORTS MatExpr operator * (double s, const MatExpr& e); -CV_EXPORTS MatExpr operator * (const MatExpr& e1, const MatExpr& e2); - -CV_EXPORTS MatExpr operator / (const Mat& a, const Mat& b); -CV_EXPORTS MatExpr operator / (const Mat& a, double s); -CV_EXPORTS MatExpr operator / (double s, const Mat& a); -CV_EXPORTS MatExpr operator / (const MatExpr& e, const Mat& m); -CV_EXPORTS MatExpr operator / (const Mat& m, const MatExpr& e); -CV_EXPORTS MatExpr operator / (const MatExpr& e, double s); -CV_EXPORTS MatExpr operator / (double s, const MatExpr& e); -CV_EXPORTS MatExpr operator / (const MatExpr& e1, const MatExpr& e2); - -CV_EXPORTS MatExpr operator < (const Mat& a, const Mat& b); -CV_EXPORTS MatExpr operator < (const Mat& a, double s); -CV_EXPORTS MatExpr operator < (double s, const Mat& a); - -CV_EXPORTS MatExpr operator <= (const Mat& a, const Mat& b); -CV_EXPORTS MatExpr operator <= (const Mat& a, double s); -CV_EXPORTS MatExpr operator <= (double s, const Mat& a); - -CV_EXPORTS MatExpr operator == (const Mat& a, const Mat& b); -CV_EXPORTS MatExpr operator == (const Mat& a, double s); -CV_EXPORTS MatExpr operator == (double s, const Mat& a); - -CV_EXPORTS MatExpr operator != (const Mat& a, const Mat& b); -CV_EXPORTS MatExpr operator != (const Mat& a, double s); -CV_EXPORTS MatExpr operator != (double s, const Mat& a); - -CV_EXPORTS MatExpr operator >= (const Mat& a, const Mat& b); -CV_EXPORTS MatExpr operator >= (const Mat& a, double s); -CV_EXPORTS MatExpr operator >= (double s, const Mat& a); - -CV_EXPORTS MatExpr operator > (const Mat& a, const Mat& b); -CV_EXPORTS MatExpr operator > (const Mat& a, double s); -CV_EXPORTS MatExpr operator > (double s, const Mat& a); - -CV_EXPORTS MatExpr min(const Mat& a, const Mat& b); -CV_EXPORTS MatExpr min(const Mat& a, double s); -CV_EXPORTS MatExpr min(double s, const Mat& a); - -CV_EXPORTS MatExpr max(const Mat& a, const Mat& b); -CV_EXPORTS MatExpr max(const Mat& a, double s); -CV_EXPORTS MatExpr max(double s, const Mat& a); - -template static inline MatExpr min(const Mat_<_Tp>& a, const Mat_<_Tp>& b) -{ - return cv::min((const Mat&)a, (const Mat&)b); -} - -template static inline MatExpr min(const Mat_<_Tp>& a, double s) -{ - return cv::min((const Mat&)a, s); -} - -template static inline MatExpr min(double s, const Mat_<_Tp>& a) -{ - return cv::min((const Mat&)a, s); -} - -template static inline MatExpr max(const Mat_<_Tp>& a, const Mat_<_Tp>& b) -{ - return cv::max((const Mat&)a, (const Mat&)b); -} - -template static inline MatExpr max(const Mat_<_Tp>& a, double s) -{ - return cv::max((const Mat&)a, s); -} - -template static inline MatExpr max(double s, const Mat_<_Tp>& a) -{ - return cv::max((const Mat&)a, s); -} - -template static inline void min(const Mat_<_Tp>& a, const Mat_<_Tp>& b, Mat_<_Tp>& c) -{ - cv::min((const Mat&)a, (const Mat&)b, (Mat&)c); -} - -template static inline void min(const Mat_<_Tp>& a, double s, Mat_<_Tp>& c) -{ - cv::min((const Mat&)a, s, (Mat&)c); -} - -template static inline void min(double s, const Mat_<_Tp>& a, Mat_<_Tp>& c) -{ - cv::min((const Mat&)a, s, (Mat&)c); -} - -template static inline void max(const Mat_<_Tp>& a, const Mat_<_Tp>& b, Mat_<_Tp>& c) -{ - cv::max((const Mat&)a, (const Mat&)b, (Mat&)c); -} - -template static inline void max(const Mat_<_Tp>& a, double s, Mat_<_Tp>& c) -{ - cv::max((const Mat&)a, s, (Mat&)c); -} - -template static inline void max(double s, const Mat_<_Tp>& a, Mat_<_Tp>& c) -{ - cv::max((const Mat&)a, s, (Mat&)c); -} - - -CV_EXPORTS MatExpr operator & (const Mat& a, const Mat& b); -CV_EXPORTS MatExpr operator & (const Mat& a, const Scalar& s); -CV_EXPORTS MatExpr operator & (const Scalar& s, const Mat& a); - -CV_EXPORTS MatExpr operator | (const Mat& a, const Mat& b); -CV_EXPORTS MatExpr operator | (const Mat& a, const Scalar& s); -CV_EXPORTS MatExpr operator | (const Scalar& s, const Mat& a); - -CV_EXPORTS MatExpr operator ^ (const Mat& a, const Mat& b); -CV_EXPORTS MatExpr operator ^ (const Mat& a, const Scalar& s); -CV_EXPORTS MatExpr operator ^ (const Scalar& s, const Mat& a); - -CV_EXPORTS MatExpr operator ~(const Mat& m); - -CV_EXPORTS MatExpr abs(const Mat& m); -CV_EXPORTS MatExpr abs(const MatExpr& e); - -template static inline MatExpr abs(const Mat_<_Tp>& m) -{ - return cv::abs((const Mat&)m); -} - -////////////////////////////// Augmenting algebraic operations ////////////////////////////////// - -inline Mat& Mat::operator = (const MatExpr& e) -{ - e.op->assign(e, *this); - return *this; -} - -template inline Mat_<_Tp>::Mat_(const MatExpr& e) -{ - e.op->assign(e, *this, DataType<_Tp>::type); -} - -template Mat_<_Tp>& Mat_<_Tp>::operator = (const MatExpr& e) -{ - e.op->assign(e, *this, DataType<_Tp>::type); - return *this; -} - -static inline Mat& operator += (const Mat& a, const Mat& b) -{ - add(a, b, (Mat&)a); - return (Mat&)a; -} - -static inline Mat& operator += (const Mat& a, const Scalar& s) -{ - add(a, s, (Mat&)a); - return (Mat&)a; -} - -template static inline -Mat_<_Tp>& operator += (const Mat_<_Tp>& a, const Mat_<_Tp>& b) -{ - add(a, b, (Mat&)a); - return (Mat_<_Tp>&)a; -} - -template static inline -Mat_<_Tp>& operator += (const Mat_<_Tp>& a, const Scalar& s) -{ - add(a, s, (Mat&)a); - return (Mat_<_Tp>&)a; -} - -static inline Mat& operator += (const Mat& a, const MatExpr& b) -{ - b.op->augAssignAdd(b, (Mat&)a); - return (Mat&)a; -} - -template static inline -Mat_<_Tp>& operator += (const Mat_<_Tp>& a, const MatExpr& b) -{ - b.op->augAssignAdd(b, (Mat&)a); - return (Mat_<_Tp>&)a; -} - -static inline Mat& operator -= (const Mat& a, const Mat& b) -{ - subtract(a, b, (Mat&)a); - return (Mat&)a; -} - -static inline Mat& operator -= (const Mat& a, const Scalar& s) -{ - subtract(a, s, (Mat&)a); - return (Mat&)a; -} - -template static inline -Mat_<_Tp>& operator -= (const Mat_<_Tp>& a, const Mat_<_Tp>& b) -{ - subtract(a, b, (Mat&)a); - return (Mat_<_Tp>&)a; -} - -template static inline -Mat_<_Tp>& operator -= (const Mat_<_Tp>& a, const Scalar& s) -{ - subtract(a, s, (Mat&)a); - return (Mat_<_Tp>&)a; -} - -static inline Mat& operator -= (const Mat& a, const MatExpr& b) -{ - b.op->augAssignSubtract(b, (Mat&)a); - return (Mat&)a; -} - -template static inline -Mat_<_Tp>& operator -= (const Mat_<_Tp>& a, const MatExpr& b) -{ - b.op->augAssignSubtract(b, (Mat&)a); - return (Mat_<_Tp>&)a; -} - -static inline Mat& operator *= (const Mat& a, const Mat& b) -{ - gemm(a, b, 1, Mat(), 0, (Mat&)a, 0); - return (Mat&)a; -} - -static inline Mat& operator *= (const Mat& a, double s) -{ - a.convertTo((Mat&)a, -1, s); - return (Mat&)a; -} - -template static inline -Mat_<_Tp>& operator *= (const Mat_<_Tp>& a, const Mat_<_Tp>& b) -{ - gemm(a, b, 1, Mat(), 0, (Mat&)a, 0); - return (Mat_<_Tp>&)a; -} - -template static inline -Mat_<_Tp>& operator *= (const Mat_<_Tp>& a, double s) -{ - a.convertTo((Mat&)a, -1, s); - return (Mat_<_Tp>&)a; -} - -static inline Mat& operator *= (const Mat& a, const MatExpr& b) -{ - b.op->augAssignMultiply(b, (Mat&)a); - return (Mat&)a; -} - -template static inline -Mat_<_Tp>& operator *= (const Mat_<_Tp>& a, const MatExpr& b) -{ - b.op->augAssignMultiply(b, (Mat&)a); - return (Mat_<_Tp>&)a; -} - -static inline Mat& operator /= (const Mat& a, const Mat& b) -{ - divide(a, b, (Mat&)a); - return (Mat&)a; -} - -static inline Mat& operator /= (const Mat& a, double s) -{ - a.convertTo((Mat&)a, -1, 1./s); - return (Mat&)a; -} - -template static inline -Mat_<_Tp>& operator /= (const Mat_<_Tp>& a, const Mat_<_Tp>& b) -{ - divide(a, b, (Mat&)a); - return (Mat_<_Tp>&)a; -} - -template static inline -Mat_<_Tp>& operator /= (const Mat_<_Tp>& a, double s) -{ - a.convertTo((Mat&)a, -1, 1./s); - return (Mat_<_Tp>&)a; -} - -static inline Mat& operator /= (const Mat& a, const MatExpr& b) -{ - b.op->augAssignDivide(b, (Mat&)a); - return (Mat&)a; -} - -template static inline -Mat_<_Tp>& operator /= (const Mat_<_Tp>& a, const MatExpr& b) -{ - b.op->augAssignDivide(b, (Mat&)a); - return (Mat_<_Tp>&)a; -} - -////////////////////////////// Logical operations /////////////////////////////// - -static inline Mat& operator &= (const Mat& a, const Mat& b) -{ - bitwise_and(a, b, (Mat&)a); - return (Mat&)a; -} - -static inline Mat& operator &= (const Mat& a, const Scalar& s) -{ - bitwise_and(a, s, (Mat&)a); - return (Mat&)a; -} - -template static inline Mat_<_Tp>& -operator &= (const Mat_<_Tp>& a, const Mat_<_Tp>& b) -{ - bitwise_and(a, b, (Mat&)a); - return (Mat_<_Tp>&)a; -} - -template static inline Mat_<_Tp>& -operator &= (const Mat_<_Tp>& a, const Scalar& s) -{ - bitwise_and(a, s, (Mat&)a); - return (Mat_<_Tp>&)a; -} - -static inline Mat& operator |= (const Mat& a, const Mat& b) -{ - bitwise_or(a, b, (Mat&)a); - return (Mat&)a; -} - -static inline Mat& operator |= (const Mat& a, const Scalar& s) -{ - bitwise_or(a, s, (Mat&)a); - return (Mat&)a; -} - -template static inline Mat_<_Tp>& -operator |= (const Mat_<_Tp>& a, const Mat_<_Tp>& b) -{ - bitwise_or(a, b, (Mat&)a); - return (Mat_<_Tp>&)a; -} - -template static inline Mat_<_Tp>& -operator |= (const Mat_<_Tp>& a, const Scalar& s) -{ - bitwise_or(a, s, (Mat&)a); - return (Mat_<_Tp>&)a; -} - -static inline Mat& operator ^= (const Mat& a, const Mat& b) -{ - bitwise_xor(a, b, (Mat&)a); - return (Mat&)a; -} - -static inline Mat& operator ^= (const Mat& a, const Scalar& s) -{ - bitwise_xor(a, s, (Mat&)a); - return (Mat&)a; -} - -template static inline Mat_<_Tp>& -operator ^= (const Mat_<_Tp>& a, const Mat_<_Tp>& b) -{ - bitwise_xor(a, b, (Mat&)a); - return (Mat_<_Tp>&)a; -} - -template static inline Mat_<_Tp>& -operator ^= (const Mat_<_Tp>& a, const Scalar& s) -{ - bitwise_xor(a, s, (Mat&)a); - return (Mat_<_Tp>&)a; -} - -/////////////////////////////// Miscellaneous operations ////////////////////////////// - -template void split(const Mat& src, vector >& mv) -{ split(src, (vector&)mv ); } - -////////////////////////////////////////////////////////////// - -template inline MatExpr Mat_<_Tp>::zeros(int rows, int cols) -{ - return Mat::zeros(rows, cols, DataType<_Tp>::type); -} - -template inline MatExpr Mat_<_Tp>::zeros(Size sz) -{ - return Mat::zeros(sz, DataType<_Tp>::type); -} - -template inline MatExpr Mat_<_Tp>::ones(int rows, int cols) -{ - return Mat::ones(rows, cols, DataType<_Tp>::type); -} - -template inline MatExpr Mat_<_Tp>::ones(Size sz) -{ - return Mat::ones(sz, DataType<_Tp>::type); -} - -template inline MatExpr Mat_<_Tp>::eye(int rows, int cols) -{ - return Mat::eye(rows, cols, DataType<_Tp>::type); -} - -template inline MatExpr Mat_<_Tp>::eye(Size sz) -{ - return Mat::eye(sz, DataType<_Tp>::type); -} - -//////////////////////////////// Iterators & Comma initializers ////////////////////////////////// - -inline MatConstIterator::MatConstIterator() - : m(0), elemSize(0), ptr(0), sliceStart(0), sliceEnd(0) {} - -inline MatConstIterator::MatConstIterator(const Mat* _m) - : m(_m), elemSize(_m->elemSize()), ptr(0), sliceStart(0), sliceEnd(0) -{ - if( m && m->isContinuous() ) - { - sliceStart = m->data; - sliceEnd = sliceStart + m->total()*elemSize; - } - seek((const int*)0); -} - -inline MatConstIterator::MatConstIterator(const Mat* _m, int _row, int _col) - : m(_m), elemSize(_m->elemSize()), ptr(0), sliceStart(0), sliceEnd(0) -{ - CV_Assert(m && m->dims <= 2); - if( m->isContinuous() ) - { - sliceStart = m->data; - sliceEnd = sliceStart + m->total()*elemSize; - } - int idx[]={_row, _col}; - seek(idx); -} - -inline MatConstIterator::MatConstIterator(const Mat* _m, Point _pt) - : m(_m), elemSize(_m->elemSize()), ptr(0), sliceStart(0), sliceEnd(0) -{ - CV_Assert(m && m->dims <= 2); - if( m->isContinuous() ) - { - sliceStart = m->data; - sliceEnd = sliceStart + m->total()*elemSize; - } - int idx[]={_pt.y, _pt.x}; - seek(idx); -} - -inline MatConstIterator::MatConstIterator(const MatConstIterator& it) - : m(it.m), elemSize(it.elemSize), ptr(it.ptr), sliceStart(it.sliceStart), sliceEnd(it.sliceEnd) -{} - -inline MatConstIterator& MatConstIterator::operator = (const MatConstIterator& it ) -{ - m = it.m; elemSize = it.elemSize; ptr = it.ptr; - sliceStart = it.sliceStart; sliceEnd = it.sliceEnd; - return *this; -} - -inline uchar* MatConstIterator::operator *() const { return ptr; } - -inline MatConstIterator& MatConstIterator::operator += (ptrdiff_t ofs) -{ - if( !m || ofs == 0 ) - return *this; - ptrdiff_t ofsb = ofs*elemSize; - ptr += ofsb; - if( ptr < sliceStart || sliceEnd <= ptr ) - { - ptr -= ofsb; - seek(ofs, true); - } - return *this; -} - -inline MatConstIterator& MatConstIterator::operator -= (ptrdiff_t ofs) -{ return (*this += -ofs); } - -inline MatConstIterator& MatConstIterator::operator --() -{ - if( m && (ptr -= elemSize) < sliceStart ) - { - ptr += elemSize; - seek(-1, true); - } - return *this; -} - -inline MatConstIterator MatConstIterator::operator --(int) -{ - MatConstIterator b = *this; - *this += -1; - return b; -} - -inline MatConstIterator& MatConstIterator::operator ++() -{ - if( m && (ptr += elemSize) >= sliceEnd ) - { - ptr -= elemSize; - seek(1, true); - } - return *this; -} - -inline MatConstIterator MatConstIterator::operator ++(int) -{ - MatConstIterator b = *this; - *this += 1; - return b; -} - -template inline MatConstIterator_<_Tp>::MatConstIterator_() {} - -template inline MatConstIterator_<_Tp>::MatConstIterator_(const Mat_<_Tp>* _m) - : MatConstIterator(_m) {} - -template inline MatConstIterator_<_Tp>:: - MatConstIterator_(const Mat_<_Tp>* _m, int _row, int _col) - : MatConstIterator(_m, _row, _col) {} - -template inline MatConstIterator_<_Tp>:: - MatConstIterator_(const Mat_<_Tp>* _m, Point _pt) - : MatConstIterator(_m, _pt) {} - -template inline MatConstIterator_<_Tp>:: - MatConstIterator_(const MatConstIterator_& it) - : MatConstIterator(it) {} - -template inline MatConstIterator_<_Tp>& - MatConstIterator_<_Tp>::operator = (const MatConstIterator_& it ) -{ - MatConstIterator::operator = (it); - return *this; -} - -template inline _Tp MatConstIterator_<_Tp>::operator *() const { return *(_Tp*)(this->ptr); } - -template inline MatConstIterator_<_Tp>& MatConstIterator_<_Tp>::operator += (ptrdiff_t ofs) -{ - MatConstIterator::operator += (ofs); - return *this; -} - -template inline MatConstIterator_<_Tp>& MatConstIterator_<_Tp>::operator -= (ptrdiff_t ofs) -{ return (*this += -ofs); } - -template inline MatConstIterator_<_Tp>& MatConstIterator_<_Tp>::operator --() -{ - MatConstIterator::operator --(); - return *this; -} - -template inline MatConstIterator_<_Tp> MatConstIterator_<_Tp>::operator --(int) -{ - MatConstIterator_ b = *this; - MatConstIterator::operator --(); - return b; -} - -template inline MatConstIterator_<_Tp>& MatConstIterator_<_Tp>::operator ++() -{ - MatConstIterator::operator ++(); - return *this; -} - -template inline MatConstIterator_<_Tp> MatConstIterator_<_Tp>::operator ++(int) -{ - MatConstIterator_ b = *this; - MatConstIterator::operator ++(); - return b; -} - -template inline MatIterator_<_Tp>::MatIterator_() : MatConstIterator_<_Tp>() {} - -template inline MatIterator_<_Tp>::MatIterator_(Mat_<_Tp>* _m) - : MatConstIterator_<_Tp>(_m) {} - -template inline MatIterator_<_Tp>::MatIterator_(Mat_<_Tp>* _m, int _row, int _col) - : MatConstIterator_<_Tp>(_m, _row, _col) {} - -template inline MatIterator_<_Tp>::MatIterator_(const Mat_<_Tp>* _m, Point _pt) - : MatConstIterator_<_Tp>(_m, _pt) {} - -template inline MatIterator_<_Tp>::MatIterator_(const Mat_<_Tp>* _m, const int* _idx) - : MatConstIterator_<_Tp>(_m, _idx) {} - -template inline MatIterator_<_Tp>::MatIterator_(const MatIterator_& it) - : MatConstIterator_<_Tp>(it) {} - -template inline MatIterator_<_Tp>& MatIterator_<_Tp>::operator = (const MatIterator_<_Tp>& it ) -{ - MatConstIterator::operator = (it); - return *this; -} - -template inline _Tp& MatIterator_<_Tp>::operator *() const { return *(_Tp*)(this->ptr); } - -template inline MatIterator_<_Tp>& MatIterator_<_Tp>::operator += (ptrdiff_t ofs) -{ - MatConstIterator::operator += (ofs); - return *this; -} - -template inline MatIterator_<_Tp>& MatIterator_<_Tp>::operator -= (ptrdiff_t ofs) -{ - MatConstIterator::operator += (-ofs); - return *this; -} - -template inline MatIterator_<_Tp>& MatIterator_<_Tp>::operator --() -{ - MatConstIterator::operator --(); - return *this; -} - -template inline MatIterator_<_Tp> MatIterator_<_Tp>::operator --(int) -{ - MatIterator_ b = *this; - MatConstIterator::operator --(); - return b; -} - -template inline MatIterator_<_Tp>& MatIterator_<_Tp>::operator ++() -{ - MatConstIterator::operator ++(); - return *this; -} - -template inline MatIterator_<_Tp> MatIterator_<_Tp>::operator ++(int) -{ - MatIterator_ b = *this; - MatConstIterator::operator ++(); - return b; -} - -template inline Point MatConstIterator_<_Tp>::pos() const -{ - if( !m ) - return Point(); - CV_DbgAssert( m->dims <= 2 ); - if( m->isContinuous() ) - { - ptrdiff_t ofs = (const _Tp*)ptr - (const _Tp*)m->data; - int y = (int)(ofs / m->cols), x = (int)(ofs - (ptrdiff_t)y*m->cols); - return Point(x, y); - } - else - { - ptrdiff_t ofs = (uchar*)ptr - m->data; - int y = (int)(ofs / m->step), x = (int)((ofs - y*m->step)/sizeof(_Tp)); - return Point(x, y); - } -} - -static inline bool -operator == (const MatConstIterator& a, const MatConstIterator& b) -{ return a.m == b.m && a.ptr == b.ptr; } - -template static inline bool -operator != (const MatConstIterator& a, const MatConstIterator& b) -{ return !(a == b); } - -template static inline bool -operator == (const MatConstIterator_<_Tp>& a, const MatConstIterator_<_Tp>& b) -{ return a.m == b.m && a.ptr == b.ptr; } - -template static inline bool -operator != (const MatConstIterator_<_Tp>& a, const MatConstIterator_<_Tp>& b) -{ return a.m != b.m || a.ptr != b.ptr; } - -template static inline bool -operator == (const MatIterator_<_Tp>& a, const MatIterator_<_Tp>& b) -{ return a.m == b.m && a.ptr == b.ptr; } - -template static inline bool -operator != (const MatIterator_<_Tp>& a, const MatIterator_<_Tp>& b) -{ return a.m != b.m || a.ptr != b.ptr; } - -static inline bool -operator < (const MatConstIterator& a, const MatConstIterator& b) -{ return a.ptr < b.ptr; } - -static inline bool -operator > (const MatConstIterator& a, const MatConstIterator& b) -{ return a.ptr > b.ptr; } - -static inline bool -operator <= (const MatConstIterator& a, const MatConstIterator& b) -{ return a.ptr <= b.ptr; } - -static inline bool -operator >= (const MatConstIterator& a, const MatConstIterator& b) -{ return a.ptr >= b.ptr; } - -CV_EXPORTS ptrdiff_t operator - (const MatConstIterator& b, const MatConstIterator& a); - -static inline MatConstIterator operator + (const MatConstIterator& a, ptrdiff_t ofs) -{ MatConstIterator b = a; return b += ofs; } - -static inline MatConstIterator operator + (ptrdiff_t ofs, const MatConstIterator& a) -{ MatConstIterator b = a; return b += ofs; } - -static inline MatConstIterator operator - (const MatConstIterator& a, ptrdiff_t ofs) -{ MatConstIterator b = a; return b += -ofs; } - -template static inline MatConstIterator_<_Tp> -operator + (const MatConstIterator_<_Tp>& a, ptrdiff_t ofs) -{ MatConstIterator t = (const MatConstIterator&)a + ofs; return (MatConstIterator_<_Tp>&)t; } - -template static inline MatConstIterator_<_Tp> -operator + (ptrdiff_t ofs, const MatConstIterator_<_Tp>& a) -{ MatConstIterator t = (const MatConstIterator&)a + ofs; return (MatConstIterator_<_Tp>&)t; } - -template static inline MatConstIterator_<_Tp> -operator - (const MatConstIterator_<_Tp>& a, ptrdiff_t ofs) -{ MatConstIterator t = (const MatConstIterator&)a - ofs; return (MatConstIterator_<_Tp>&)t; } - -inline uchar* MatConstIterator::operator [](ptrdiff_t i) const -{ return *(*this + i); } - -template inline _Tp MatConstIterator_<_Tp>::operator [](ptrdiff_t i) const -{ return *(_Tp*)MatConstIterator::operator [](i); } - -template static inline MatIterator_<_Tp> -operator + (const MatIterator_<_Tp>& a, ptrdiff_t ofs) -{ MatConstIterator t = (const MatConstIterator&)a + ofs; return (MatIterator_<_Tp>&)t; } - -template static inline MatIterator_<_Tp> -operator + (ptrdiff_t ofs, const MatIterator_<_Tp>& a) -{ MatConstIterator t = (const MatConstIterator&)a + ofs; return (MatIterator_<_Tp>&)t; } - -template static inline MatIterator_<_Tp> -operator - (const MatIterator_<_Tp>& a, ptrdiff_t ofs) -{ MatConstIterator t = (const MatConstIterator&)a - ofs; return (MatIterator_<_Tp>&)t; } - -template inline _Tp& MatIterator_<_Tp>::operator [](ptrdiff_t i) const -{ return *(*this + i); } - -template inline MatConstIterator_<_Tp> Mat_<_Tp>::begin() const -{ return Mat::begin<_Tp>(); } - -template inline MatConstIterator_<_Tp> Mat_<_Tp>::end() const -{ return Mat::end<_Tp>(); } - -template inline MatIterator_<_Tp> Mat_<_Tp>::begin() -{ return Mat::begin<_Tp>(); } - -template inline MatIterator_<_Tp> Mat_<_Tp>::end() -{ return Mat::end<_Tp>(); } - -template inline MatCommaInitializer_<_Tp>::MatCommaInitializer_(Mat_<_Tp>* _m) : it(_m) {} - -template template inline MatCommaInitializer_<_Tp>& -MatCommaInitializer_<_Tp>::operator , (T2 v) -{ - CV_DbgAssert( this->it < ((const Mat_<_Tp>*)this->it.m)->end() ); - *this->it = _Tp(v); ++this->it; - return *this; -} - -template inline Mat_<_Tp> MatCommaInitializer_<_Tp>::operator *() const -{ - CV_DbgAssert( this->it == ((const Mat_<_Tp>*)this->it.m)->end() ); - return Mat_<_Tp>(*this->it.m); -} - -template inline MatCommaInitializer_<_Tp>::operator Mat_<_Tp>() const -{ - CV_DbgAssert( this->it == ((const Mat_<_Tp>*)this->it.m)->end() ); - return Mat_<_Tp>(*this->it.m); -} - -template static inline MatCommaInitializer_<_Tp> -operator << (const Mat_<_Tp>& m, T2 val) -{ - MatCommaInitializer_<_Tp> commaInitializer((Mat_<_Tp>*)&m); - return (commaInitializer, val); -} - -//////////////////////////////// SparseMat //////////////////////////////// - -inline SparseMat::SparseMat() -: flags(MAGIC_VAL), hdr(0) -{ -} - -inline SparseMat::SparseMat(int _dims, const int* _sizes, int _type) -: flags(MAGIC_VAL), hdr(0) -{ - create(_dims, _sizes, _type); -} - -inline SparseMat::SparseMat(const SparseMat& m) -: flags(m.flags), hdr(m.hdr) -{ - addref(); -} - -inline SparseMat::~SparseMat() -{ - release(); -} - -inline SparseMat& SparseMat::operator = (const SparseMat& m) -{ - if( this != &m ) - { - if( m.hdr ) - CV_XADD(&m.hdr->refcount, 1); - release(); - flags = m.flags; - hdr = m.hdr; - } - return *this; -} - -inline SparseMat& SparseMat::operator = (const Mat& m) -{ return (*this = SparseMat(m)); } - -inline SparseMat SparseMat::clone() const -{ - SparseMat temp; - this->copyTo(temp); - return temp; -} - - -inline void SparseMat::assignTo( SparseMat& m, int _type ) const -{ - if( _type < 0 ) - m = *this; - else - convertTo(m, _type); -} - -inline void SparseMat::addref() -{ if( hdr ) CV_XADD(&hdr->refcount, 1); } - -inline void SparseMat::release() -{ - if( hdr && CV_XADD(&hdr->refcount, -1) == 1 ) - delete hdr; - hdr = 0; -} - -inline size_t SparseMat::elemSize() const -{ return CV_ELEM_SIZE(flags); } - -inline size_t SparseMat::elemSize1() const -{ return CV_ELEM_SIZE1(flags); } - -inline int SparseMat::type() const -{ return CV_MAT_TYPE(flags); } - -inline int SparseMat::depth() const -{ return CV_MAT_DEPTH(flags); } - -inline int SparseMat::channels() const -{ return CV_MAT_CN(flags); } - -inline const int* SparseMat::size() const -{ - return hdr ? hdr->size : 0; -} - -inline int SparseMat::size(int i) const -{ - if( hdr ) - { - CV_DbgAssert((unsigned)i < (unsigned)hdr->dims); - return hdr->size[i]; - } - return 0; -} - -inline int SparseMat::dims() const -{ - return hdr ? hdr->dims : 0; -} - -inline size_t SparseMat::nzcount() const -{ - return hdr ? hdr->nodeCount : 0; -} - -inline size_t SparseMat::hash(int i0) const -{ - return (size_t)i0; -} - -inline size_t SparseMat::hash(int i0, int i1) const -{ - return (size_t)(unsigned)i0*HASH_SCALE + (unsigned)i1; -} - -inline size_t SparseMat::hash(int i0, int i1, int i2) const -{ - return ((size_t)(unsigned)i0*HASH_SCALE + (unsigned)i1)*HASH_SCALE + (unsigned)i2; -} - -inline size_t SparseMat::hash(const int* idx) const -{ - size_t h = (unsigned)idx[0]; - if( !hdr ) - return 0; - int i, d = hdr->dims; - for( i = 1; i < d; i++ ) - h = h*HASH_SCALE + (unsigned)idx[i]; - return h; -} - -template inline _Tp& SparseMat::ref(int i0, size_t* hashval) -{ return *(_Tp*)((SparseMat*)this)->ptr(i0, true, hashval); } - -template inline _Tp& SparseMat::ref(int i0, int i1, size_t* hashval) -{ return *(_Tp*)((SparseMat*)this)->ptr(i0, i1, true, hashval); } - -template inline _Tp& SparseMat::ref(int i0, int i1, int i2, size_t* hashval) -{ return *(_Tp*)((SparseMat*)this)->ptr(i0, i1, i2, true, hashval); } - -template inline _Tp& SparseMat::ref(const int* idx, size_t* hashval) -{ return *(_Tp*)((SparseMat*)this)->ptr(idx, true, hashval); } - -template inline _Tp SparseMat::value(int i0, size_t* hashval) const -{ - const _Tp* p = (const _Tp*)((SparseMat*)this)->ptr(i0, false, hashval); - return p ? *p : _Tp(); -} - -template inline _Tp SparseMat::value(int i0, int i1, size_t* hashval) const -{ - const _Tp* p = (const _Tp*)((SparseMat*)this)->ptr(i0, i1, false, hashval); - return p ? *p : _Tp(); -} - -template inline _Tp SparseMat::value(int i0, int i1, int i2, size_t* hashval) const -{ - const _Tp* p = (const _Tp*)((SparseMat*)this)->ptr(i0, i1, i2, false, hashval); - return p ? *p : _Tp(); -} - -template inline _Tp SparseMat::value(const int* idx, size_t* hashval) const -{ - const _Tp* p = (const _Tp*)((SparseMat*)this)->ptr(idx, false, hashval); - return p ? *p : _Tp(); -} - -template inline const _Tp* SparseMat::find(int i0, size_t* hashval) const -{ return (const _Tp*)((SparseMat*)this)->ptr(i0, false, hashval); } - -template inline const _Tp* SparseMat::find(int i0, int i1, size_t* hashval) const -{ return (const _Tp*)((SparseMat*)this)->ptr(i0, i1, false, hashval); } - -template inline const _Tp* SparseMat::find(int i0, int i1, int i2, size_t* hashval) const -{ return (const _Tp*)((SparseMat*)this)->ptr(i0, i1, i2, false, hashval); } - -template inline const _Tp* SparseMat::find(const int* idx, size_t* hashval) const -{ return (const _Tp*)((SparseMat*)this)->ptr(idx, false, hashval); } - -template inline _Tp& SparseMat::value(Node* n) -{ return *(_Tp*)((uchar*)n + hdr->valueOffset); } - -template inline const _Tp& SparseMat::value(const Node* n) const -{ return *(const _Tp*)((const uchar*)n + hdr->valueOffset); } - -inline SparseMat::Node* SparseMat::node(size_t nidx) -{ return (Node*)(void*)&hdr->pool[nidx]; } - -inline const SparseMat::Node* SparseMat::node(size_t nidx) const -{ return (const Node*)(void*)&hdr->pool[nidx]; } - -inline SparseMatIterator SparseMat::begin() -{ return SparseMatIterator(this); } - -inline SparseMatConstIterator SparseMat::begin() const -{ return SparseMatConstIterator(this); } - -inline SparseMatIterator SparseMat::end() -{ SparseMatIterator it(this); it.seekEnd(); return it; } - -inline SparseMatConstIterator SparseMat::end() const -{ SparseMatConstIterator it(this); it.seekEnd(); return it; } - -template inline SparseMatIterator_<_Tp> SparseMat::begin() -{ return SparseMatIterator_<_Tp>(this); } - -template inline SparseMatConstIterator_<_Tp> SparseMat::begin() const -{ return SparseMatConstIterator_<_Tp>(this); } - -template inline SparseMatIterator_<_Tp> SparseMat::end() -{ SparseMatIterator_<_Tp> it(this); it.seekEnd(); return it; } - -template inline SparseMatConstIterator_<_Tp> SparseMat::end() const -{ SparseMatConstIterator_<_Tp> it(this); it.seekEnd(); return it; } - - -inline SparseMatConstIterator::SparseMatConstIterator() -: m(0), hashidx(0), ptr(0) -{ -} - -inline SparseMatConstIterator::SparseMatConstIterator(const SparseMatConstIterator& it) -: m(it.m), hashidx(it.hashidx), ptr(it.ptr) -{ -} - -static inline bool operator == (const SparseMatConstIterator& it1, const SparseMatConstIterator& it2) -{ return it1.m == it2.m && it1.ptr == it2.ptr; } - -static inline bool operator != (const SparseMatConstIterator& it1, const SparseMatConstIterator& it2) -{ return !(it1 == it2); } - - -inline SparseMatConstIterator& SparseMatConstIterator::operator = (const SparseMatConstIterator& it) -{ - if( this != &it ) - { - m = it.m; - hashidx = it.hashidx; - ptr = it.ptr; - } - return *this; -} - -template inline const _Tp& SparseMatConstIterator::value() const -{ return *(_Tp*)ptr; } - -inline const SparseMat::Node* SparseMatConstIterator::node() const -{ - return ptr && m && m->hdr ? - (const SparseMat::Node*)(void*)(ptr - m->hdr->valueOffset) : 0; -} - -inline SparseMatConstIterator SparseMatConstIterator::operator ++(int) -{ - SparseMatConstIterator it = *this; - ++*this; - return it; -} - - -inline void SparseMatConstIterator::seekEnd() -{ - if( m && m->hdr ) - { - hashidx = m->hdr->hashtab.size(); - ptr = 0; - } -} - -inline SparseMatIterator::SparseMatIterator() -{} - -inline SparseMatIterator::SparseMatIterator(SparseMat* _m) -: SparseMatConstIterator(_m) -{} - -inline SparseMatIterator::SparseMatIterator(const SparseMatIterator& it) -: SparseMatConstIterator(it) -{ -} - -inline SparseMatIterator& SparseMatIterator::operator = (const SparseMatIterator& it) -{ - (SparseMatConstIterator&)*this = it; - return *this; -} - -template inline _Tp& SparseMatIterator::value() const -{ return *(_Tp*)ptr; } - -inline SparseMat::Node* SparseMatIterator::node() const -{ - return (SparseMat::Node*)SparseMatConstIterator::node(); -} - -inline SparseMatIterator& SparseMatIterator::operator ++() -{ - SparseMatConstIterator::operator ++(); - return *this; -} - -inline SparseMatIterator SparseMatIterator::operator ++(int) -{ - SparseMatIterator it = *this; - ++*this; - return it; -} - - -template inline SparseMat_<_Tp>::SparseMat_() -{ flags = MAGIC_VAL | DataType<_Tp>::type; } - -template inline SparseMat_<_Tp>::SparseMat_(int _dims, const int* _sizes) -: SparseMat(_dims, _sizes, DataType<_Tp>::type) -{} - -template inline SparseMat_<_Tp>::SparseMat_(const SparseMat& m) -{ - if( m.type() == DataType<_Tp>::type ) - *this = (const SparseMat_<_Tp>&)m; - else - m.convertTo(*this, DataType<_Tp>::type); -} - -template inline SparseMat_<_Tp>::SparseMat_(const SparseMat_<_Tp>& m) -{ - this->flags = m.flags; - this->hdr = m.hdr; - if( this->hdr ) - CV_XADD(&this->hdr->refcount, 1); -} - -template inline SparseMat_<_Tp>::SparseMat_(const Mat& m) -{ - SparseMat sm(m); - *this = sm; -} - -template inline SparseMat_<_Tp>::SparseMat_(const CvSparseMat* m) -{ - SparseMat sm(m); - *this = sm; -} - -template inline SparseMat_<_Tp>& -SparseMat_<_Tp>::operator = (const SparseMat_<_Tp>& m) -{ - if( this != &m ) - { - if( m.hdr ) CV_XADD(&m.hdr->refcount, 1); - release(); - flags = m.flags; - hdr = m.hdr; - } - return *this; -} - -template inline SparseMat_<_Tp>& -SparseMat_<_Tp>::operator = (const SparseMat& m) -{ - if( m.type() == DataType<_Tp>::type ) - return (*this = (const SparseMat_<_Tp>&)m); - m.convertTo(*this, DataType<_Tp>::type); - return *this; -} - -template inline SparseMat_<_Tp>& -SparseMat_<_Tp>::operator = (const Mat& m) -{ return (*this = SparseMat(m)); } - -template inline SparseMat_<_Tp> -SparseMat_<_Tp>::clone() const -{ - SparseMat_<_Tp> m; - this->copyTo(m); - return m; -} - -template inline void -SparseMat_<_Tp>::create(int _dims, const int* _sizes) -{ - SparseMat::create(_dims, _sizes, DataType<_Tp>::type); -} - -template inline -SparseMat_<_Tp>::operator CvSparseMat*() const -{ - return SparseMat::operator CvSparseMat*(); -} - -template inline int SparseMat_<_Tp>::type() const -{ return DataType<_Tp>::type; } - -template inline int SparseMat_<_Tp>::depth() const -{ return DataType<_Tp>::depth; } - -template inline int SparseMat_<_Tp>::channels() const -{ return DataType<_Tp>::channels; } - -template inline _Tp& -SparseMat_<_Tp>::ref(int i0, size_t* hashval) -{ return SparseMat::ref<_Tp>(i0, hashval); } - -template inline _Tp -SparseMat_<_Tp>::operator()(int i0, size_t* hashval) const -{ return SparseMat::value<_Tp>(i0, hashval); } - -template inline _Tp& -SparseMat_<_Tp>::ref(int i0, int i1, size_t* hashval) -{ return SparseMat::ref<_Tp>(i0, i1, hashval); } - -template inline _Tp -SparseMat_<_Tp>::operator()(int i0, int i1, size_t* hashval) const -{ return SparseMat::value<_Tp>(i0, i1, hashval); } - -template inline _Tp& -SparseMat_<_Tp>::ref(int i0, int i1, int i2, size_t* hashval) -{ return SparseMat::ref<_Tp>(i0, i1, i2, hashval); } - -template inline _Tp -SparseMat_<_Tp>::operator()(int i0, int i1, int i2, size_t* hashval) const -{ return SparseMat::value<_Tp>(i0, i1, i2, hashval); } - -template inline _Tp& -SparseMat_<_Tp>::ref(const int* idx, size_t* hashval) -{ return SparseMat::ref<_Tp>(idx, hashval); } - -template inline _Tp -SparseMat_<_Tp>::operator()(const int* idx, size_t* hashval) const -{ return SparseMat::value<_Tp>(idx, hashval); } - -template inline SparseMatIterator_<_Tp> SparseMat_<_Tp>::begin() -{ return SparseMatIterator_<_Tp>(this); } - -template inline SparseMatConstIterator_<_Tp> SparseMat_<_Tp>::begin() const -{ return SparseMatConstIterator_<_Tp>(this); } - -template inline SparseMatIterator_<_Tp> SparseMat_<_Tp>::end() -{ SparseMatIterator_<_Tp> it(this); it.seekEnd(); return it; } - -template inline SparseMatConstIterator_<_Tp> SparseMat_<_Tp>::end() const -{ SparseMatConstIterator_<_Tp> it(this); it.seekEnd(); return it; } - -template inline -SparseMatConstIterator_<_Tp>::SparseMatConstIterator_() -{} - -template inline -SparseMatConstIterator_<_Tp>::SparseMatConstIterator_(const SparseMat_<_Tp>* _m) -: SparseMatConstIterator(_m) -{} - -template inline -SparseMatConstIterator_<_Tp>::SparseMatConstIterator_(const SparseMat* _m) -: SparseMatConstIterator(_m) -{ - CV_Assert( _m->type() == DataType<_Tp>::type ); -} - -template inline -SparseMatConstIterator_<_Tp>::SparseMatConstIterator_(const SparseMatConstIterator_<_Tp>& it) -: SparseMatConstIterator(it) -{} - -template inline SparseMatConstIterator_<_Tp>& -SparseMatConstIterator_<_Tp>::operator = (const SparseMatConstIterator_<_Tp>& it) -{ return reinterpret_cast&> - (*reinterpret_cast(this) = - reinterpret_cast(it)); } - -template inline const _Tp& -SparseMatConstIterator_<_Tp>::operator *() const -{ return *(const _Tp*)this->ptr; } - -template inline SparseMatConstIterator_<_Tp>& -SparseMatConstIterator_<_Tp>::operator ++() -{ - SparseMatConstIterator::operator ++(); - return *this; -} - -template inline SparseMatConstIterator_<_Tp> -SparseMatConstIterator_<_Tp>::operator ++(int) -{ - SparseMatConstIterator_<_Tp> it = *this; - SparseMatConstIterator::operator ++(); - return it; -} - -template inline -SparseMatIterator_<_Tp>::SparseMatIterator_() -{} - -template inline -SparseMatIterator_<_Tp>::SparseMatIterator_(SparseMat_<_Tp>* _m) -: SparseMatConstIterator_<_Tp>(_m) -{} - -template inline -SparseMatIterator_<_Tp>::SparseMatIterator_(SparseMat* _m) -: SparseMatConstIterator_<_Tp>(_m) -{} - -template inline -SparseMatIterator_<_Tp>::SparseMatIterator_(const SparseMatIterator_<_Tp>& it) -: SparseMatConstIterator_<_Tp>(it) -{} - -template inline SparseMatIterator_<_Tp>& -SparseMatIterator_<_Tp>::operator = (const SparseMatIterator_<_Tp>& it) -{ return reinterpret_cast&> - (*reinterpret_cast(this) = - reinterpret_cast(it)); } - -template inline _Tp& -SparseMatIterator_<_Tp>::operator *() const -{ return *(_Tp*)this->ptr; } - -template inline SparseMatIterator_<_Tp>& -SparseMatIterator_<_Tp>::operator ++() -{ - SparseMatConstIterator::operator ++(); - return *this; -} - -template inline SparseMatIterator_<_Tp> -SparseMatIterator_<_Tp>::operator ++(int) -{ - SparseMatIterator_<_Tp> it = *this; - SparseMatConstIterator::operator ++(); - return it; -} - -} - -#endif -#endif diff --git a/phonelibs/opencv/include/opencv2/core/opengl_interop.hpp b/phonelibs/opencv/include/opencv2/core/opengl_interop.hpp deleted file mode 100644 index 7ecaa8e219..0000000000 --- a/phonelibs/opencv/include/opencv2/core/opengl_interop.hpp +++ /dev/null @@ -1,284 +0,0 @@ -/*M/////////////////////////////////////////////////////////////////////////////////////// -// -// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING. -// -// By downloading, copying, installing or using the software you agree to this license. -// If you do not agree to this license, do not download, install, -// copy or use the software. -// -// -// License Agreement -// For Open Source Computer Vision Library -// -// Copyright (C) 2000-2008, Intel Corporation, all rights reserved. -// Copyright (C) 2009, Willow Garage Inc., all rights reserved. -// Third party copyrights are property of their respective owners. -// -// Redistribution and use in source and binary forms, with or without modification, -// are permitted provided that the following conditions are met: -// -// * Redistribution's of source code must retain the above copyright notice, -// this list of conditions and the following disclaimer. -// -// * Redistribution's in binary form must reproduce the above copyright notice, -// this list of conditions and the following disclaimer in the documentation -// and/or other materials provided with the distribution. -// -// * The name of the copyright holders may not be used to endorse or promote products -// derived from this software without specific prior written permission. -// -// This software is provided by the copyright holders and contributors "as is" and -// any express or implied warranties, including, but not limited to, the implied -// warranties of merchantability and fitness for a particular purpose are disclaimed. -// In no event shall the Intel Corporation or contributors be liable for any direct, -// indirect, incidental, special, exemplary, or consequential damages -// (including, but not limited to, procurement of substitute goods or services; -// loss of use, data, or profits; or business interruption) however caused -// and on any theory of liability, whether in contract, strict liability, -// or tort (including negligence or otherwise) arising in any way out of -// the use of this software, even if advised of the possibility of such damage. -// -//M*/ - -#ifndef __OPENCV_OPENGL_INTEROP_HPP__ -#define __OPENCV_OPENGL_INTEROP_HPP__ - -#ifdef __cplusplus - -#include "opencv2/core/core.hpp" -#include "opencv2/core/opengl_interop_deprecated.hpp" - -namespace cv { namespace ogl { - -/////////////////// OpenGL Objects /////////////////// - -//! Smart pointer for OpenGL buffer memory with reference counting. -class CV_EXPORTS Buffer -{ -public: - enum Target - { - ARRAY_BUFFER = 0x8892, //!< The buffer will be used as a source for vertex data - ELEMENT_ARRAY_BUFFER = 0x8893, //!< The buffer will be used for indices (in glDrawElements, for example) - PIXEL_PACK_BUFFER = 0x88EB, //!< The buffer will be used for reading from OpenGL textures - PIXEL_UNPACK_BUFFER = 0x88EC //!< The buffer will be used for writing to OpenGL textures - }; - - enum Access - { - READ_ONLY = 0x88B8, - WRITE_ONLY = 0x88B9, - READ_WRITE = 0x88BA - }; - - //! create empty buffer - Buffer(); - - //! create buffer from existed buffer id - Buffer(int arows, int acols, int atype, unsigned int abufId, bool autoRelease = false); - Buffer(Size asize, int atype, unsigned int abufId, bool autoRelease = false); - - //! create buffer - Buffer(int arows, int acols, int atype, Target target = ARRAY_BUFFER, bool autoRelease = false); - Buffer(Size asize, int atype, Target target = ARRAY_BUFFER, bool autoRelease = false); - - //! copy from host/device memory - explicit Buffer(InputArray arr, Target target = ARRAY_BUFFER, bool autoRelease = false); - - //! create buffer - void create(int arows, int acols, int atype, Target target = ARRAY_BUFFER, bool autoRelease = false); - void create(Size asize, int atype, Target target = ARRAY_BUFFER, bool autoRelease = false) { create(asize.height, asize.width, atype, target, autoRelease); } - - //! release memory and delete buffer object - void release(); - - //! set auto release mode (if true, release will be called in object's destructor) - void setAutoRelease(bool flag); - - //! copy from host/device memory - void copyFrom(InputArray arr, Target target = ARRAY_BUFFER, bool autoRelease = false); - - //! copy to host/device memory - void copyTo(OutputArray arr, Target target = ARRAY_BUFFER, bool autoRelease = false) const; - - //! create copy of current buffer - Buffer clone(Target target = ARRAY_BUFFER, bool autoRelease = false) const; - - //! bind buffer for specified target - void bind(Target target) const; - - //! unbind any buffers from specified target - static void unbind(Target target); - - //! map to host memory - Mat mapHost(Access access); - void unmapHost(); - - //! map to device memory - gpu::GpuMat mapDevice(); - void unmapDevice(); - - int rows() const { return rows_; } - int cols() const { return cols_; } - Size size() const { return Size(cols_, rows_); } - bool empty() const { return rows_ == 0 || cols_ == 0; } - - int type() const { return type_; } - int depth() const { return CV_MAT_DEPTH(type_); } - int channels() const { return CV_MAT_CN(type_); } - int elemSize() const { return CV_ELEM_SIZE(type_); } - int elemSize1() const { return CV_ELEM_SIZE1(type_); } - - unsigned int bufId() const; - - class Impl; - -private: - Ptr impl_; - int rows_; - int cols_; - int type_; -}; - -//! Smart pointer for OpenGL 2D texture memory with reference counting. -class CV_EXPORTS Texture2D -{ -public: - enum Format - { - NONE = 0, - DEPTH_COMPONENT = 0x1902, //!< Depth - RGB = 0x1907, //!< Red, Green, Blue - RGBA = 0x1908 //!< Red, Green, Blue, Alpha - }; - - //! create empty texture - Texture2D(); - - //! create texture from existed texture id - Texture2D(int arows, int acols, Format aformat, unsigned int atexId, bool autoRelease = false); - Texture2D(Size asize, Format aformat, unsigned int atexId, bool autoRelease = false); - - //! create texture - Texture2D(int arows, int acols, Format aformat, bool autoRelease = false); - Texture2D(Size asize, Format aformat, bool autoRelease = false); - - //! copy from host/device memory - explicit Texture2D(InputArray arr, bool autoRelease = false); - - //! create texture - void create(int arows, int acols, Format aformat, bool autoRelease = false); - void create(Size asize, Format aformat, bool autoRelease = false) { create(asize.height, asize.width, aformat, autoRelease); } - - //! release memory and delete texture object - void release(); - - //! set auto release mode (if true, release will be called in object's destructor) - void setAutoRelease(bool flag); - - //! copy from host/device memory - void copyFrom(InputArray arr, bool autoRelease = false); - - //! copy to host/device memory - void copyTo(OutputArray arr, int ddepth = CV_32F, bool autoRelease = false) const; - - //! bind texture to current active texture unit for GL_TEXTURE_2D target - void bind() const; - - int rows() const { return rows_; } - int cols() const { return cols_; } - Size size() const { return Size(cols_, rows_); } - bool empty() const { return rows_ == 0 || cols_ == 0; } - - Format format() const { return format_; } - - unsigned int texId() const; - - class Impl; - -private: - Ptr impl_; - int rows_; - int cols_; - Format format_; -}; - -//! OpenGL Arrays -class CV_EXPORTS Arrays -{ -public: - Arrays(); - - void setVertexArray(InputArray vertex); - void resetVertexArray(); - - void setColorArray(InputArray color); - void resetColorArray(); - - void setNormalArray(InputArray normal); - void resetNormalArray(); - - void setTexCoordArray(InputArray texCoord); - void resetTexCoordArray(); - - void release(); - - void setAutoRelease(bool flag); - - void bind() const; - - int size() const { return size_; } - bool empty() const { return size_ == 0; } - -private: - int size_; - Buffer vertex_; - Buffer color_; - Buffer normal_; - Buffer texCoord_; -}; - -/////////////////// Render Functions /////////////////// - -//! render texture rectangle in window -CV_EXPORTS void render(const Texture2D& tex, - Rect_ wndRect = Rect_(0.0, 0.0, 1.0, 1.0), - Rect_ texRect = Rect_(0.0, 0.0, 1.0, 1.0)); - -//! render mode -enum { - POINTS = 0x0000, - LINES = 0x0001, - LINE_LOOP = 0x0002, - LINE_STRIP = 0x0003, - TRIANGLES = 0x0004, - TRIANGLE_STRIP = 0x0005, - TRIANGLE_FAN = 0x0006, - QUADS = 0x0007, - QUAD_STRIP = 0x0008, - POLYGON = 0x0009 -}; - -//! render OpenGL arrays -CV_EXPORTS void render(const Arrays& arr, int mode = POINTS, Scalar color = Scalar::all(255)); -CV_EXPORTS void render(const Arrays& arr, InputArray indices, int mode = POINTS, Scalar color = Scalar::all(255)); - -}} // namespace cv::gl - -namespace cv { namespace gpu { - -//! set a CUDA device to use OpenGL interoperability -CV_EXPORTS void setGlDevice(int device = 0); - -}} - -namespace cv { - -template <> CV_EXPORTS void Ptr::delete_obj(); -template <> CV_EXPORTS void Ptr::delete_obj(); - -} - -#endif // __cplusplus - -#endif // __OPENCV_OPENGL_INTEROP_HPP__ diff --git a/phonelibs/opencv/include/opencv2/core/opengl_interop_deprecated.hpp b/phonelibs/opencv/include/opencv2/core/opengl_interop_deprecated.hpp deleted file mode 100644 index 04e3fc0c0b..0000000000 --- a/phonelibs/opencv/include/opencv2/core/opengl_interop_deprecated.hpp +++ /dev/null @@ -1,300 +0,0 @@ -/*M/////////////////////////////////////////////////////////////////////////////////////// -// -// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING. -// -// By downloading, copying, installing or using the software you agree to this license. -// If you do not agree to this license, do not download, install, -// copy or use the software. -// -// -// License Agreement -// For Open Source Computer Vision Library -// -// Copyright (C) 2000-2008, Intel Corporation, all rights reserved. -// Copyright (C) 2009, Willow Garage Inc., all rights reserved. -// Third party copyrights are property of their respective owners. -// -// Redistribution and use in source and binary forms, with or without modification, -// are permitted provided that the following conditions are met: -// -// * Redistribution's of source code must retain the above copyright notice, -// this list of conditions and the following disclaimer. -// -// * Redistribution's in binary form must reproduce the above copyright notice, -// this list of conditions and the following disclaimer in the documentation -// and/or other materials provided with the distribution. -// -// * The name of the copyright holders may not be used to endorse or promote products -// derived from this software without specific prior written permission. -// -// This software is provided by the copyright holders and contributors "as is" and -// any express or implied warranties, including, but not limited to, the implied -// warranties of merchantability and fitness for a particular purpose are disclaimed. -// In no event shall the Intel Corporation or contributors be liable for any direct, -// indirect, incidental, special, exemplary, or consequential damages -// (including, but not limited to, procurement of substitute goods or services; -// loss of use, data, or profits; or business interruption) however caused -// and on any theory of liability, whether in contract, strict liability, -// or tort (including negligence or otherwise) arising in any way out of -// the use of this software, even if advised of the possibility of such damage. -// -//M*/ - -#ifndef __OPENCV_OPENGL_INTEROP_DEPRECATED_HPP__ -#define __OPENCV_OPENGL_INTEROP_DEPRECATED_HPP__ - -#ifdef __cplusplus - -#include "opencv2/core/core.hpp" - -namespace cv -{ -//! Smart pointer for OpenGL buffer memory with reference counting. -class CV_EXPORTS GlBuffer -{ -public: - enum Usage - { - ARRAY_BUFFER = 0x8892, // buffer will use for OpenGL arrays (vertices, colors, normals, etc) - TEXTURE_BUFFER = 0x88EC // buffer will ise for OpenGL textures - }; - - //! create empty buffer - explicit GlBuffer(Usage usage); - - //! create buffer - GlBuffer(int rows, int cols, int type, Usage usage); - GlBuffer(Size size, int type, Usage usage); - - //! copy from host/device memory - GlBuffer(InputArray mat, Usage usage); - - void create(int rows, int cols, int type, Usage usage); - void create(Size size, int type, Usage usage); - void create(int rows, int cols, int type); - void create(Size size, int type); - - void release(); - - //! copy from host/device memory - void copyFrom(InputArray mat); - - void bind() const; - void unbind() const; - - //! map to host memory - Mat mapHost(); - void unmapHost(); - - //! map to device memory - gpu::GpuMat mapDevice(); - void unmapDevice(); - - inline int rows() const { return rows_; } - inline int cols() const { return cols_; } - inline Size size() const { return Size(cols_, rows_); } - inline bool empty() const { return rows_ == 0 || cols_ == 0; } - - inline int type() const { return type_; } - inline int depth() const { return CV_MAT_DEPTH(type_); } - inline int channels() const { return CV_MAT_CN(type_); } - inline int elemSize() const { return CV_ELEM_SIZE(type_); } - inline int elemSize1() const { return CV_ELEM_SIZE1(type_); } - - inline Usage usage() const { return usage_; } - - class Impl; -private: - int rows_; - int cols_; - int type_; - Usage usage_; - - Ptr impl_; -}; - -template <> CV_EXPORTS void Ptr::delete_obj(); - -//! Smart pointer for OpenGL 2d texture memory with reference counting. -class CV_EXPORTS GlTexture -{ -public: - //! create empty texture - GlTexture(); - - //! create texture - GlTexture(int rows, int cols, int type); - GlTexture(Size size, int type); - - //! copy from host/device memory - explicit GlTexture(InputArray mat, bool bgra = true); - - void create(int rows, int cols, int type); - void create(Size size, int type); - void release(); - - //! copy from host/device memory - void copyFrom(InputArray mat, bool bgra = true); - - void bind() const; - void unbind() const; - - inline int rows() const { return rows_; } - inline int cols() const { return cols_; } - inline Size size() const { return Size(cols_, rows_); } - inline bool empty() const { return rows_ == 0 || cols_ == 0; } - - inline int type() const { return type_; } - inline int depth() const { return CV_MAT_DEPTH(type_); } - inline int channels() const { return CV_MAT_CN(type_); } - inline int elemSize() const { return CV_ELEM_SIZE(type_); } - inline int elemSize1() const { return CV_ELEM_SIZE1(type_); } - - class Impl; -private: - int rows_; - int cols_; - int type_; - - Ptr impl_; - GlBuffer buf_; -}; - -template <> CV_EXPORTS void Ptr::delete_obj(); - -//! OpenGL Arrays -class CV_EXPORTS GlArrays -{ -public: - inline GlArrays() - : vertex_(GlBuffer::ARRAY_BUFFER), color_(GlBuffer::ARRAY_BUFFER), normal_(GlBuffer::ARRAY_BUFFER), texCoord_(GlBuffer::ARRAY_BUFFER) - { - } - - void setVertexArray(InputArray vertex); - inline void resetVertexArray() { vertex_.release(); } - - void setColorArray(InputArray color, bool bgra = true); - inline void resetColorArray() { color_.release(); } - - void setNormalArray(InputArray normal); - inline void resetNormalArray() { normal_.release(); } - - void setTexCoordArray(InputArray texCoord); - inline void resetTexCoordArray() { texCoord_.release(); } - - void bind() const; - void unbind() const; - - inline int rows() const { return vertex_.rows(); } - inline int cols() const { return vertex_.cols(); } - inline Size size() const { return vertex_.size(); } - inline bool empty() const { return vertex_.empty(); } - -private: - GlBuffer vertex_; - GlBuffer color_; - GlBuffer normal_; - GlBuffer texCoord_; -}; - -//! OpenGL Font -class CV_EXPORTS GlFont -{ -public: - enum Weight - { - WEIGHT_LIGHT = 300, - WEIGHT_NORMAL = 400, - WEIGHT_SEMIBOLD = 600, - WEIGHT_BOLD = 700, - WEIGHT_BLACK = 900 - }; - - enum Style - { - STYLE_NORMAL = 0, - STYLE_ITALIC = 1, - STYLE_UNDERLINE = 2 - }; - - static Ptr get(const std::string& family, int height = 12, Weight weight = WEIGHT_NORMAL, Style style = STYLE_NORMAL); - - void draw(const char* str, int len) const; - - inline const std::string& family() const { return family_; } - inline int height() const { return height_; } - inline Weight weight() const { return weight_; } - inline Style style() const { return style_; } - -private: - GlFont(const std::string& family, int height, Weight weight, Style style); - - std::string family_; - int height_; - Weight weight_; - Style style_; - - unsigned int base_; - - GlFont(const GlFont&); - GlFont& operator =(const GlFont&); -}; - -//! render functions - -//! render texture rectangle in window -CV_EXPORTS void render(const GlTexture& tex, - Rect_ wndRect = Rect_(0.0, 0.0, 1.0, 1.0), - Rect_ texRect = Rect_(0.0, 0.0, 1.0, 1.0)); - -//! render mode -namespace RenderMode { - enum { - POINTS = 0x0000, - LINES = 0x0001, - LINE_LOOP = 0x0002, - LINE_STRIP = 0x0003, - TRIANGLES = 0x0004, - TRIANGLE_STRIP = 0x0005, - TRIANGLE_FAN = 0x0006, - QUADS = 0x0007, - QUAD_STRIP = 0x0008, - POLYGON = 0x0009 - }; -} - -//! render OpenGL arrays -CV_EXPORTS void render(const GlArrays& arr, int mode = RenderMode::POINTS, Scalar color = Scalar::all(255)); - -CV_EXPORTS void render(const std::string& str, const Ptr& font, Scalar color, Point2d pos); - -//! OpenGL camera -class CV_EXPORTS GlCamera -{ -public: - GlCamera(); - - void lookAt(Point3d eye, Point3d center, Point3d up); - void setCameraPos(Point3d pos, double yaw, double pitch, double roll); - - void setScale(Point3d scale); - - void setProjectionMatrix(const Mat& projectionMatrix, bool transpose = true); - void setPerspectiveProjection(double fov, double aspect, double zNear, double zFar); - void setOrthoProjection(double left, double right, double bottom, double top, double zNear, double zFar); - - void setupProjectionMatrix() const; - void setupModelViewMatrix() const; -}; - -inline void GlBuffer::create(Size _size, int _type, Usage _usage) { create(_size.height, _size.width, _type, _usage); } -inline void GlBuffer::create(int _rows, int _cols, int _type) { create(_rows, _cols, _type, usage()); } -inline void GlBuffer::create(Size _size, int _type) { create(_size.height, _size.width, _type, usage()); } -inline void GlTexture::create(Size _size, int _type) { create(_size.height, _size.width, _type); } - -} // namespace cv - -#endif // __cplusplus - -#endif // __OPENCV_OPENGL_INTEROP_DEPRECATED_HPP__ diff --git a/phonelibs/opencv/include/opencv2/core/operations.hpp b/phonelibs/opencv/include/opencv2/core/operations.hpp deleted file mode 100644 index 37fd3d97c7..0000000000 --- a/phonelibs/opencv/include/opencv2/core/operations.hpp +++ /dev/null @@ -1,4126 +0,0 @@ -/*M/////////////////////////////////////////////////////////////////////////////////////// -// -// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING. -// -// By downloading, copying, installing or using the software you agree to this license. -// If you do not agree to this license, do not download, install, -// copy or use the software. -// -// -// License Agreement -// For Open Source Computer Vision Library -// -// Copyright (C) 2000-2008, Intel Corporation, all rights reserved. -// Copyright (C) 2009, Willow Garage Inc., all rights reserved. -// Third party copyrights are property of their respective owners. -// -// Redistribution and use in source and binary forms, with or without modification, -// are permitted provided that the following conditions are met: -// -// * Redistribution's of source code must retain the above copyright notice, -// this list of conditions and the following disclaimer. -// -// * Redistribution's in binary form must reproduce the above copyright notice, -// this list of conditions and the following disclaimer in the documentation -// and/or other materials provided with the distribution. -// -// * The name of the copyright holders may not be used to endorse or promote products -// derived from this software without specific prior written permission. -// -// This software is provided by the copyright holders and contributors "as is" and -// any express or implied warranties, including, but not limited to, the implied -// warranties of merchantability and fitness for a particular purpose are disclaimed. -// In no event shall the Intel Corporation or contributors be liable for any direct, -// indirect, incidental, special, exemplary, or consequential damages -// (including, but not limited to, procurement of substitute goods or services; -// loss of use, data, or profits; or business interruption) however caused -// and on any theory of liability, whether in contract, strict liability, -// or tort (including negligence or otherwise) arising in any way out of -// the use of this software, even if advised of the possibility of such damage. -// -//M*/ - -#ifndef __OPENCV_CORE_OPERATIONS_HPP__ -#define __OPENCV_CORE_OPERATIONS_HPP__ - -#ifndef SKIP_INCLUDES - #include - #include - #include -#endif // SKIP_INCLUDES - -#ifdef __cplusplus - -/////// exchange-add operation for atomic operations on reference counters /////// -#ifdef CV_XADD - // allow to use user-defined macro -#elif defined __GNUC__ - - #if defined __clang__ && __clang_major__ >= 3 && !defined __ANDROID__ && !defined __EMSCRIPTEN__ && !defined(__CUDACC__) - #ifdef __ATOMIC_SEQ_CST - #define CV_XADD(addr, delta) __c11_atomic_fetch_add((_Atomic(int)*)(addr), (delta), __ATOMIC_SEQ_CST) - #else - #define CV_XADD(addr, delta) __atomic_fetch_add((_Atomic(int)*)(addr), (delta), 5) - #endif - #elif __GNUC__*10 + __GNUC_MINOR__ >= 42 - - #if !(defined WIN32 || defined _WIN32) && (defined __i486__ || defined __i586__ || \ - defined __i686__ || defined __MMX__ || defined __SSE__ || defined __ppc__) || \ - defined _STLPORT_MAJOR || defined _LIBCPP_VERSION || \ - defined __EMSCRIPTEN__ - - #define CV_XADD __sync_fetch_and_add - #else - #include - #define CV_XADD __gnu_cxx::__exchange_and_add - #endif - - #else - #include - #if __GNUC__*10 + __GNUC_MINOR__ >= 34 - #define CV_XADD __gnu_cxx::__exchange_and_add - #else - #define CV_XADD __exchange_and_add - #endif - #endif - -#elif defined WIN32 || defined _WIN32 || defined WINCE - namespace cv { CV_EXPORTS int _interlockedExchangeAdd(int* addr, int delta); } - #define CV_XADD cv::_interlockedExchangeAdd - -#else - static inline int CV_XADD(int* addr, int delta) - { int tmp = *addr; *addr += delta; return tmp; } -#endif - -#include - -#ifdef _MSC_VER -# pragma warning(push) -# pragma warning(disable:4127) //conditional expression is constant -#endif - -namespace cv -{ - -using std::cos; -using std::sin; -using std::max; -using std::min; -using std::exp; -using std::log; -using std::pow; -using std::sqrt; - - -/////////////// saturate_cast (used in image & signal processing) /////////////////// - -template static inline _Tp saturate_cast(uchar v) { return _Tp(v); } -template static inline _Tp saturate_cast(schar v) { return _Tp(v); } -template static inline _Tp saturate_cast(ushort v) { return _Tp(v); } -template static inline _Tp saturate_cast(short v) { return _Tp(v); } -template static inline _Tp saturate_cast(unsigned v) { return _Tp(v); } -template static inline _Tp saturate_cast(int v) { return _Tp(v); } -template static inline _Tp saturate_cast(float v) { return _Tp(v); } -template static inline _Tp saturate_cast(double v) { return _Tp(v); } - -template<> inline uchar saturate_cast(schar v) -{ return (uchar)std::max((int)v, 0); } -template<> inline uchar saturate_cast(ushort v) -{ return (uchar)std::min((unsigned)v, (unsigned)UCHAR_MAX); } -template<> inline uchar saturate_cast(int v) -{ return (uchar)((unsigned)v <= UCHAR_MAX ? v : v > 0 ? UCHAR_MAX : 0); } -template<> inline uchar saturate_cast(short v) -{ return saturate_cast((int)v); } -template<> inline uchar saturate_cast(unsigned v) -{ return (uchar)std::min(v, (unsigned)UCHAR_MAX); } -template<> inline uchar saturate_cast(float v) -{ int iv = cvRound(v); return saturate_cast(iv); } -template<> inline uchar saturate_cast(double v) -{ int iv = cvRound(v); return saturate_cast(iv); } - -template<> inline schar saturate_cast(uchar v) -{ return (schar)std::min((int)v, SCHAR_MAX); } -template<> inline schar saturate_cast(ushort v) -{ return (schar)std::min((unsigned)v, (unsigned)SCHAR_MAX); } -template<> inline schar saturate_cast(int v) -{ - return (schar)((unsigned)(v-SCHAR_MIN) <= (unsigned)UCHAR_MAX ? - v : v > 0 ? SCHAR_MAX : SCHAR_MIN); -} -template<> inline schar saturate_cast(short v) -{ return saturate_cast((int)v); } -template<> inline schar saturate_cast(unsigned v) -{ return (schar)std::min(v, (unsigned)SCHAR_MAX); } - -template<> inline schar saturate_cast(float v) -{ int iv = cvRound(v); return saturate_cast(iv); } -template<> inline schar saturate_cast(double v) -{ int iv = cvRound(v); return saturate_cast(iv); } - -template<> inline ushort saturate_cast(schar v) -{ return (ushort)std::max((int)v, 0); } -template<> inline ushort saturate_cast(short v) -{ return (ushort)std::max((int)v, 0); } -template<> inline ushort saturate_cast(int v) -{ return (ushort)((unsigned)v <= (unsigned)USHRT_MAX ? v : v > 0 ? USHRT_MAX : 0); } -template<> inline ushort saturate_cast(unsigned v) -{ return (ushort)std::min(v, (unsigned)USHRT_MAX); } -template<> inline ushort saturate_cast(float v) -{ int iv = cvRound(v); return saturate_cast(iv); } -template<> inline ushort saturate_cast(double v) -{ int iv = cvRound(v); return saturate_cast(iv); } - -template<> inline short saturate_cast(ushort v) -{ return (short)std::min((int)v, SHRT_MAX); } -template<> inline short saturate_cast(int v) -{ - return (short)((unsigned)(v - SHRT_MIN) <= (unsigned)USHRT_MAX ? - v : v > 0 ? SHRT_MAX : SHRT_MIN); -} -template<> inline short saturate_cast(unsigned v) -{ return (short)std::min(v, (unsigned)SHRT_MAX); } -template<> inline short saturate_cast(float v) -{ int iv = cvRound(v); return saturate_cast(iv); } -template<> inline short saturate_cast(double v) -{ int iv = cvRound(v); return saturate_cast(iv); } - -template<> inline int saturate_cast(float v) { return cvRound(v); } -template<> inline int saturate_cast(double v) { return cvRound(v); } - -// we intentionally do not clip negative numbers, to make -1 become 0xffffffff etc. -template<> inline unsigned saturate_cast(float v){ return cvRound(v); } -template<> inline unsigned saturate_cast(double v) { return cvRound(v); } - -inline int fast_abs(uchar v) { return v; } -inline int fast_abs(schar v) { return std::abs((int)v); } -inline int fast_abs(ushort v) { return v; } -inline int fast_abs(short v) { return std::abs((int)v); } -inline int fast_abs(int v) { return std::abs(v); } -inline float fast_abs(float v) { return std::abs(v); } -inline double fast_abs(double v) { return std::abs(v); } - -//////////////////////////////// Matx ///////////////////////////////// - - -template inline Matx<_Tp, m, n>::Matx() -{ - for(int i = 0; i < channels; i++) val[i] = _Tp(0); -} - -template inline Matx<_Tp, m, n>::Matx(_Tp v0) -{ - val[0] = v0; - for(int i = 1; i < channels; i++) val[i] = _Tp(0); -} - -template inline Matx<_Tp, m, n>::Matx(_Tp v0, _Tp v1) -{ - assert(channels >= 2); - val[0] = v0; val[1] = v1; - for(int i = 2; i < channels; i++) val[i] = _Tp(0); -} - -template inline Matx<_Tp, m, n>::Matx(_Tp v0, _Tp v1, _Tp v2) -{ - assert(channels >= 3); - val[0] = v0; val[1] = v1; val[2] = v2; - for(int i = 3; i < channels; i++) val[i] = _Tp(0); -} - -template inline Matx<_Tp, m, n>::Matx(_Tp v0, _Tp v1, _Tp v2, _Tp v3) -{ - assert(channels >= 4); - val[0] = v0; val[1] = v1; val[2] = v2; val[3] = v3; - for(int i = 4; i < channels; i++) val[i] = _Tp(0); -} - -template inline Matx<_Tp, m, n>::Matx(_Tp v0, _Tp v1, _Tp v2, _Tp v3, _Tp v4) -{ - assert(channels >= 5); - val[0] = v0; val[1] = v1; val[2] = v2; val[3] = v3; val[4] = v4; - for(int i = 5; i < channels; i++) val[i] = _Tp(0); -} - -template inline Matx<_Tp, m, n>::Matx(_Tp v0, _Tp v1, _Tp v2, _Tp v3, - _Tp v4, _Tp v5) -{ - assert(channels >= 6); - val[0] = v0; val[1] = v1; val[2] = v2; val[3] = v3; - val[4] = v4; val[5] = v5; - for(int i = 6; i < channels; i++) val[i] = _Tp(0); -} - -template inline Matx<_Tp, m, n>::Matx(_Tp v0, _Tp v1, _Tp v2, _Tp v3, - _Tp v4, _Tp v5, _Tp v6) -{ - assert(channels >= 7); - val[0] = v0; val[1] = v1; val[2] = v2; val[3] = v3; - val[4] = v4; val[5] = v5; val[6] = v6; - for(int i = 7; i < channels; i++) val[i] = _Tp(0); -} - -template inline Matx<_Tp, m, n>::Matx(_Tp v0, _Tp v1, _Tp v2, _Tp v3, - _Tp v4, _Tp v5, _Tp v6, _Tp v7) -{ - assert(channels >= 8); - val[0] = v0; val[1] = v1; val[2] = v2; val[3] = v3; - val[4] = v4; val[5] = v5; val[6] = v6; val[7] = v7; - for(int i = 8; i < channels; i++) val[i] = _Tp(0); -} - -template inline Matx<_Tp, m, n>::Matx(_Tp v0, _Tp v1, _Tp v2, _Tp v3, - _Tp v4, _Tp v5, _Tp v6, _Tp v7, - _Tp v8) -{ - assert(channels >= 9); - val[0] = v0; val[1] = v1; val[2] = v2; val[3] = v3; - val[4] = v4; val[5] = v5; val[6] = v6; val[7] = v7; - val[8] = v8; - for(int i = 9; i < channels; i++) val[i] = _Tp(0); -} - -template inline Matx<_Tp, m, n>::Matx(_Tp v0, _Tp v1, _Tp v2, _Tp v3, - _Tp v4, _Tp v5, _Tp v6, _Tp v7, - _Tp v8, _Tp v9) -{ - assert(channels >= 10); - val[0] = v0; val[1] = v1; val[2] = v2; val[3] = v3; - val[4] = v4; val[5] = v5; val[6] = v6; val[7] = v7; - val[8] = v8; val[9] = v9; - for(int i = 10; i < channels; i++) val[i] = _Tp(0); -} - - -template -inline Matx<_Tp,m,n>::Matx(_Tp v0, _Tp v1, _Tp v2, _Tp v3, - _Tp v4, _Tp v5, _Tp v6, _Tp v7, - _Tp v8, _Tp v9, _Tp v10, _Tp v11) -{ - assert(channels == 12); - val[0] = v0; val[1] = v1; val[2] = v2; val[3] = v3; - val[4] = v4; val[5] = v5; val[6] = v6; val[7] = v7; - val[8] = v8; val[9] = v9; val[10] = v10; val[11] = v11; -} - -template -inline Matx<_Tp,m,n>::Matx(_Tp v0, _Tp v1, _Tp v2, _Tp v3, - _Tp v4, _Tp v5, _Tp v6, _Tp v7, - _Tp v8, _Tp v9, _Tp v10, _Tp v11, - _Tp v12, _Tp v13, _Tp v14, _Tp v15) -{ - assert(channels == 16); - val[0] = v0; val[1] = v1; val[2] = v2; val[3] = v3; - val[4] = v4; val[5] = v5; val[6] = v6; val[7] = v7; - val[8] = v8; val[9] = v9; val[10] = v10; val[11] = v11; - val[12] = v12; val[13] = v13; val[14] = v14; val[15] = v15; -} - -template inline Matx<_Tp, m, n>::Matx(const _Tp* values) -{ - for( int i = 0; i < channels; i++ ) val[i] = values[i]; -} - -template inline Matx<_Tp, m, n> Matx<_Tp, m, n>::all(_Tp alpha) -{ - Matx<_Tp, m, n> M; - for( int i = 0; i < m*n; i++ ) M.val[i] = alpha; - return M; -} - -template inline -Matx<_Tp,m,n> Matx<_Tp,m,n>::zeros() -{ - return all(0); -} - -template inline -Matx<_Tp,m,n> Matx<_Tp,m,n>::ones() -{ - return all(1); -} - -template inline -Matx<_Tp,m,n> Matx<_Tp,m,n>::eye() -{ - Matx<_Tp,m,n> M; - for(int i = 0; i < MIN(m,n); i++) - M(i,i) = 1; - return M; -} - -template inline _Tp Matx<_Tp, m, n>::dot(const Matx<_Tp, m, n>& M) const -{ - _Tp s = 0; - for( int i = 0; i < m*n; i++ ) s += val[i]*M.val[i]; - return s; -} - - -template inline double Matx<_Tp, m, n>::ddot(const Matx<_Tp, m, n>& M) const -{ - double s = 0; - for( int i = 0; i < m*n; i++ ) s += (double)val[i]*M.val[i]; - return s; -} - - -/** @cond IGNORED */ -template inline -Matx<_Tp,m,n> Matx<_Tp,m,n>::diag(const typename Matx<_Tp,m,n>::diag_type& d) -{ - Matx<_Tp,m,n> M; - for(int i = 0; i < MIN(m,n); i++) - M(i,i) = d(i, 0); - return M; -} -/** @endcond */ - -template inline -Matx<_Tp,m,n> Matx<_Tp,m,n>::randu(_Tp a, _Tp b) -{ - Matx<_Tp,m,n> M; - Mat matM(M, false); - cv::randu(matM, Scalar(a), Scalar(b)); - return M; -} - -template inline -Matx<_Tp,m,n> Matx<_Tp,m,n>::randn(_Tp a, _Tp b) -{ - Matx<_Tp,m,n> M; - Mat matM(M, false); - cv::randn(matM, Scalar(a), Scalar(b)); - return M; -} - -template template -inline Matx<_Tp, m, n>::operator Matx() const -{ - Matx M; - for( int i = 0; i < m*n; i++ ) M.val[i] = saturate_cast(val[i]); - return M; -} - - -template template inline -Matx<_Tp, m1, n1> Matx<_Tp, m, n>::reshape() const -{ - CV_DbgAssert(m1*n1 == m*n); - return (const Matx<_Tp, m1, n1>&)*this; -} - - -template -template inline -Matx<_Tp, m1, n1> Matx<_Tp, m, n>::get_minor(int i, int j) const -{ - CV_DbgAssert(0 <= i && i+m1 <= m && 0 <= j && j+n1 <= n); - Matx<_Tp, m1, n1> s; - for( int di = 0; di < m1; di++ ) - for( int dj = 0; dj < n1; dj++ ) - s(di, dj) = (*this)(i+di, j+dj); - return s; -} - - -template inline -Matx<_Tp, 1, n> Matx<_Tp, m, n>::row(int i) const -{ - CV_DbgAssert((unsigned)i < (unsigned)m); - return Matx<_Tp, 1, n>(&val[i*n]); -} - - -template inline -Matx<_Tp, m, 1> Matx<_Tp, m, n>::col(int j) const -{ - CV_DbgAssert((unsigned)j < (unsigned)n); - Matx<_Tp, m, 1> v; - for( int i = 0; i < m; i++ ) - v.val[i] = val[i*n + j]; - return v; -} - - -template inline -typename Matx<_Tp, m, n>::diag_type Matx<_Tp, m, n>::diag() const -{ - diag_type d; - for( int i = 0; i < MIN(m, n); i++ ) - d.val[i] = val[i*n + i]; - return d; -} - - -template inline -const _Tp& Matx<_Tp, m, n>::operator ()(int i, int j) const -{ - CV_DbgAssert( (unsigned)i < (unsigned)m && (unsigned)j < (unsigned)n ); - return this->val[i*n + j]; -} - - -template inline -_Tp& Matx<_Tp, m, n>::operator ()(int i, int j) -{ - CV_DbgAssert( (unsigned)i < (unsigned)m && (unsigned)j < (unsigned)n ); - return val[i*n + j]; -} - - -template inline -const _Tp& Matx<_Tp, m, n>::operator ()(int i) const -{ - CV_DbgAssert( (m == 1 || n == 1) && (unsigned)i < (unsigned)(m+n-1) ); - return val[i]; -} - - -template inline -_Tp& Matx<_Tp, m, n>::operator ()(int i) -{ - CV_DbgAssert( (m == 1 || n == 1) && (unsigned)i < (unsigned)(m+n-1) ); - return val[i]; -} - - -template static inline -Matx<_Tp1, m, n>& operator += (Matx<_Tp1, m, n>& a, const Matx<_Tp2, m, n>& b) -{ - for( int i = 0; i < m*n; i++ ) - a.val[i] = saturate_cast<_Tp1>(a.val[i] + b.val[i]); - return a; -} - - -template static inline -Matx<_Tp1, m, n>& operator -= (Matx<_Tp1, m, n>& a, const Matx<_Tp2, m, n>& b) -{ - for( int i = 0; i < m*n; i++ ) - a.val[i] = saturate_cast<_Tp1>(a.val[i] - b.val[i]); - return a; -} - - -template inline -Matx<_Tp,m,n>::Matx(const Matx<_Tp, m, n>& a, const Matx<_Tp, m, n>& b, Matx_AddOp) -{ - for( int i = 0; i < m*n; i++ ) - val[i] = saturate_cast<_Tp>(a.val[i] + b.val[i]); -} - - -template inline -Matx<_Tp,m,n>::Matx(const Matx<_Tp, m, n>& a, const Matx<_Tp, m, n>& b, Matx_SubOp) -{ - for( int i = 0; i < m*n; i++ ) - val[i] = saturate_cast<_Tp>(a.val[i] - b.val[i]); -} - - -template template inline -Matx<_Tp,m,n>::Matx(const Matx<_Tp, m, n>& a, _T2 alpha, Matx_ScaleOp) -{ - for( int i = 0; i < m*n; i++ ) - val[i] = saturate_cast<_Tp>(a.val[i] * alpha); -} - - -template inline -Matx<_Tp,m,n>::Matx(const Matx<_Tp, m, n>& a, const Matx<_Tp, m, n>& b, Matx_MulOp) -{ - for( int i = 0; i < m*n; i++ ) - val[i] = saturate_cast<_Tp>(a.val[i] * b.val[i]); -} - - -template template inline -Matx<_Tp,m,n>::Matx(const Matx<_Tp, m, l>& a, const Matx<_Tp, l, n>& b, Matx_MatMulOp) -{ - for( int i = 0; i < m; i++ ) - for( int j = 0; j < n; j++ ) - { - _Tp s = 0; - for( int k = 0; k < l; k++ ) - s += a(i, k) * b(k, j); - val[i*n + j] = s; - } -} - - -template inline -Matx<_Tp,m,n>::Matx(const Matx<_Tp, n, m>& a, Matx_TOp) -{ - for( int i = 0; i < m; i++ ) - for( int j = 0; j < n; j++ ) - val[i*n + j] = a(j, i); -} - - -template static inline -Matx<_Tp, m, n> operator + (const Matx<_Tp, m, n>& a, const Matx<_Tp, m, n>& b) -{ - return Matx<_Tp, m, n>(a, b, Matx_AddOp()); -} - - -template static inline -Matx<_Tp, m, n> operator - (const Matx<_Tp, m, n>& a, const Matx<_Tp, m, n>& b) -{ - return Matx<_Tp, m, n>(a, b, Matx_SubOp()); -} - - -template static inline -Matx<_Tp, m, n>& operator *= (Matx<_Tp, m, n>& a, int alpha) -{ - for( int i = 0; i < m*n; i++ ) - a.val[i] = saturate_cast<_Tp>(a.val[i] * alpha); - return a; -} - -template static inline -Matx<_Tp, m, n>& operator *= (Matx<_Tp, m, n>& a, float alpha) -{ - for( int i = 0; i < m*n; i++ ) - a.val[i] = saturate_cast<_Tp>(a.val[i] * alpha); - return a; -} - -template static inline -Matx<_Tp, m, n>& operator *= (Matx<_Tp, m, n>& a, double alpha) -{ - for( int i = 0; i < m*n; i++ ) - a.val[i] = saturate_cast<_Tp>(a.val[i] * alpha); - return a; -} - -template static inline -Matx<_Tp, m, n> operator * (const Matx<_Tp, m, n>& a, int alpha) -{ - return Matx<_Tp, m, n>(a, alpha, Matx_ScaleOp()); -} - -template static inline -Matx<_Tp, m, n> operator * (const Matx<_Tp, m, n>& a, float alpha) -{ - return Matx<_Tp, m, n>(a, alpha, Matx_ScaleOp()); -} - -template static inline -Matx<_Tp, m, n> operator * (const Matx<_Tp, m, n>& a, double alpha) -{ - return Matx<_Tp, m, n>(a, alpha, Matx_ScaleOp()); -} - -template static inline -Matx<_Tp, m, n> operator * (int alpha, const Matx<_Tp, m, n>& a) -{ - return Matx<_Tp, m, n>(a, alpha, Matx_ScaleOp()); -} - -template static inline -Matx<_Tp, m, n> operator * (float alpha, const Matx<_Tp, m, n>& a) -{ - return Matx<_Tp, m, n>(a, alpha, Matx_ScaleOp()); -} - -template static inline -Matx<_Tp, m, n> operator * (double alpha, const Matx<_Tp, m, n>& a) -{ - return Matx<_Tp, m, n>(a, alpha, Matx_ScaleOp()); -} - -template static inline -Matx<_Tp, m, n> operator - (const Matx<_Tp, m, n>& a) -{ - return Matx<_Tp, m, n>(a, -1, Matx_ScaleOp()); -} - - -template static inline -Matx<_Tp, m, n> operator * (const Matx<_Tp, m, l>& a, const Matx<_Tp, l, n>& b) -{ - return Matx<_Tp, m, n>(a, b, Matx_MatMulOp()); -} - - -template static inline -Vec<_Tp, m> operator * (const Matx<_Tp, m, n>& a, const Vec<_Tp, n>& b) -{ - Matx<_Tp, m, 1> c(a, b, Matx_MatMulOp()); - return reinterpret_cast&>(c); -} - - -template static inline -Point_<_Tp> operator * (const Matx<_Tp, 2, 2>& a, const Point_<_Tp>& b) -{ - Matx<_Tp, 2, 1> tmp = a*Vec<_Tp,2>(b.x, b.y); - return Point_<_Tp>(tmp.val[0], tmp.val[1]); -} - - -template static inline -Point3_<_Tp> operator * (const Matx<_Tp, 3, 3>& a, const Point3_<_Tp>& b) -{ - Matx<_Tp, 3, 1> tmp = a*Vec<_Tp,3>(b.x, b.y, b.z); - return Point3_<_Tp>(tmp.val[0], tmp.val[1], tmp.val[2]); -} - - -template static inline -Point3_<_Tp> operator * (const Matx<_Tp, 3, 3>& a, const Point_<_Tp>& b) -{ - Matx<_Tp, 3, 1> tmp = a*Vec<_Tp,3>(b.x, b.y, 1); - return Point3_<_Tp>(tmp.val[0], tmp.val[1], tmp.val[2]); -} - - -template static inline -Matx<_Tp, 4, 1> operator * (const Matx<_Tp, 4, 4>& a, const Point3_<_Tp>& b) -{ - return a*Matx<_Tp, 4, 1>(b.x, b.y, b.z, 1); -} - - -template static inline -Scalar operator * (const Matx<_Tp, 4, 4>& a, const Scalar& b) -{ - Matx c(Matx(a), b, Matx_MatMulOp()); - return static_cast(c); -} - - -static inline -Scalar operator * (const Matx& a, const Scalar& b) -{ - Matx c(a, b, Matx_MatMulOp()); - return static_cast(c); -} - - -template inline -Matx<_Tp, m, n> Matx<_Tp, m, n>::mul(const Matx<_Tp, m, n>& a) const -{ - return Matx<_Tp, m, n>(*this, a, Matx_MulOp()); -} - - -CV_EXPORTS int LU(float* A, size_t astep, int m, float* b, size_t bstep, int n); -CV_EXPORTS int LU(double* A, size_t astep, int m, double* b, size_t bstep, int n); -CV_EXPORTS bool Cholesky(float* A, size_t astep, int m, float* b, size_t bstep, int n); -CV_EXPORTS bool Cholesky(double* A, size_t astep, int m, double* b, size_t bstep, int n); - - -template struct Matx_DetOp -{ - double operator ()(const Matx<_Tp, m, m>& a) const - { - Matx<_Tp, m, m> temp = a; - double p = LU(temp.val, m*sizeof(_Tp), m, 0, 0, 0); - if( p == 0 ) - return p; - for( int i = 0; i < m; i++ ) - p *= temp(i, i); - return 1./p; - } -}; - - -template struct Matx_DetOp<_Tp, 1> -{ - double operator ()(const Matx<_Tp, 1, 1>& a) const - { - return a(0,0); - } -}; - - -template struct Matx_DetOp<_Tp, 2> -{ - double operator ()(const Matx<_Tp, 2, 2>& a) const - { - return a(0,0)*a(1,1) - a(0,1)*a(1,0); - } -}; - - -template struct Matx_DetOp<_Tp, 3> -{ - double operator ()(const Matx<_Tp, 3, 3>& a) const - { - return a(0,0)*(a(1,1)*a(2,2) - a(2,1)*a(1,2)) - - a(0,1)*(a(1,0)*a(2,2) - a(2,0)*a(1,2)) + - a(0,2)*(a(1,0)*a(2,1) - a(2,0)*a(1,1)); - } -}; - -template static inline -double determinant(const Matx<_Tp, m, m>& a) -{ - return Matx_DetOp<_Tp, m>()(a); -} - - -template static inline -double trace(const Matx<_Tp, m, n>& a) -{ - _Tp s = 0; - for( int i = 0; i < std::min(m, n); i++ ) - s += a(i,i); - return s; -} - - -template inline -Matx<_Tp, n, m> Matx<_Tp, m, n>::t() const -{ - return Matx<_Tp, n, m>(*this, Matx_TOp()); -} - - -template struct Matx_FastInvOp -{ - bool operator()(const Matx<_Tp, m, m>& a, Matx<_Tp, m, m>& b, int method) const - { - Matx<_Tp, m, m> temp = a; - - // assume that b is all 0's on input => make it a unity matrix - for( int i = 0; i < m; i++ ) - b(i, i) = (_Tp)1; - - if( method == DECOMP_CHOLESKY ) - return Cholesky(temp.val, m*sizeof(_Tp), m, b.val, m*sizeof(_Tp), m); - - return LU(temp.val, m*sizeof(_Tp), m, b.val, m*sizeof(_Tp), m) != 0; - } -}; - - -template struct Matx_FastInvOp<_Tp, 2> -{ - bool operator()(const Matx<_Tp, 2, 2>& a, Matx<_Tp, 2, 2>& b, int) const - { - _Tp d = determinant(a); - if( d == 0 ) - return false; - d = 1/d; - b(1,1) = a(0,0)*d; - b(0,0) = a(1,1)*d; - b(0,1) = -a(0,1)*d; - b(1,0) = -a(1,0)*d; - return true; - } -}; - - -template struct Matx_FastInvOp<_Tp, 3> -{ - bool operator()(const Matx<_Tp, 3, 3>& a, Matx<_Tp, 3, 3>& b, int) const - { - _Tp d = (_Tp)determinant(a); - if( d == 0 ) - return false; - d = 1/d; - b(0,0) = (a(1,1) * a(2,2) - a(1,2) * a(2,1)) * d; - b(0,1) = (a(0,2) * a(2,1) - a(0,1) * a(2,2)) * d; - b(0,2) = (a(0,1) * a(1,2) - a(0,2) * a(1,1)) * d; - - b(1,0) = (a(1,2) * a(2,0) - a(1,0) * a(2,2)) * d; - b(1,1) = (a(0,0) * a(2,2) - a(0,2) * a(2,0)) * d; - b(1,2) = (a(0,2) * a(1,0) - a(0,0) * a(1,2)) * d; - - b(2,0) = (a(1,0) * a(2,1) - a(1,1) * a(2,0)) * d; - b(2,1) = (a(0,1) * a(2,0) - a(0,0) * a(2,1)) * d; - b(2,2) = (a(0,0) * a(1,1) - a(0,1) * a(1,0)) * d; - return true; - } -}; - - -template inline -Matx<_Tp, n, m> Matx<_Tp, m, n>::inv(int method) const -{ - Matx<_Tp, n, m> b; - bool ok; - if( method == DECOMP_LU || method == DECOMP_CHOLESKY ) - ok = Matx_FastInvOp<_Tp, m>()(*this, b, method); - else - { - Mat A(*this, false), B(b, false); - ok = (invert(A, B, method) != 0); - } - return ok ? b : Matx<_Tp, n, m>::zeros(); -} - - -template struct Matx_FastSolveOp -{ - bool operator()(const Matx<_Tp, m, m>& a, const Matx<_Tp, m, n>& b, - Matx<_Tp, m, n>& x, int method) const - { - Matx<_Tp, m, m> temp = a; - x = b; - if( method == DECOMP_CHOLESKY ) - return Cholesky(temp.val, m*sizeof(_Tp), m, x.val, n*sizeof(_Tp), n); - - return LU(temp.val, m*sizeof(_Tp), m, x.val, n*sizeof(_Tp), n) != 0; - } -}; - - -template struct Matx_FastSolveOp<_Tp, 2, 1> -{ - bool operator()(const Matx<_Tp, 2, 2>& a, const Matx<_Tp, 2, 1>& b, - Matx<_Tp, 2, 1>& x, int) const - { - _Tp d = determinant(a); - if( d == 0 ) - return false; - d = 1/d; - x(0) = (b(0)*a(1,1) - b(1)*a(0,1))*d; - x(1) = (b(1)*a(0,0) - b(0)*a(1,0))*d; - return true; - } -}; - - -template struct Matx_FastSolveOp<_Tp, 3, 1> -{ - bool operator()(const Matx<_Tp, 3, 3>& a, const Matx<_Tp, 3, 1>& b, - Matx<_Tp, 3, 1>& x, int) const - { - _Tp d = (_Tp)determinant(a); - if( d == 0 ) - return false; - d = 1/d; - x(0) = d*(b(0)*(a(1,1)*a(2,2) - a(1,2)*a(2,1)) - - a(0,1)*(b(1)*a(2,2) - a(1,2)*b(2)) + - a(0,2)*(b(1)*a(2,1) - a(1,1)*b(2))); - - x(1) = d*(a(0,0)*(b(1)*a(2,2) - a(1,2)*b(2)) - - b(0)*(a(1,0)*a(2,2) - a(1,2)*a(2,0)) + - a(0,2)*(a(1,0)*b(2) - b(1)*a(2,0))); - - x(2) = d*(a(0,0)*(a(1,1)*b(2) - b(1)*a(2,1)) - - a(0,1)*(a(1,0)*b(2) - b(1)*a(2,0)) + - b(0)*(a(1,0)*a(2,1) - a(1,1)*a(2,0))); - return true; - } -}; - - -template template inline -Matx<_Tp, n, l> Matx<_Tp, m, n>::solve(const Matx<_Tp, m, l>& rhs, int method) const -{ - Matx<_Tp, n, l> x; - bool ok; - if( method == DECOMP_LU || method == DECOMP_CHOLESKY ) - ok = Matx_FastSolveOp<_Tp, m, l>()(*this, rhs, x, method); - else - { - Mat A(*this, false), B(rhs, false), X(x, false); - ok = cv::solve(A, B, X, method); - } - - return ok ? x : Matx<_Tp, n, l>::zeros(); -} - -template inline -Vec<_Tp, n> Matx<_Tp, m, n>::solve(const Vec<_Tp, m>& rhs, int method) const -{ - Matx<_Tp, n, 1> x = solve(reinterpret_cast&>(rhs), method); - return reinterpret_cast&>(x); -} - -template static inline -_AccTp normL2Sqr(const _Tp* a, int n) -{ - _AccTp s = 0; - int i=0; - #if CV_ENABLE_UNROLLED - for( ; i <= n - 4; i += 4 ) - { - _AccTp v0 = a[i], v1 = a[i+1], v2 = a[i+2], v3 = a[i+3]; - s += v0*v0 + v1*v1 + v2*v2 + v3*v3; - } -#endif - for( ; i < n; i++ ) - { - _AccTp v = a[i]; - s += v*v; - } - return s; -} - - -template static inline -_AccTp normL1(const _Tp* a, int n) -{ - _AccTp s = 0; - int i = 0; -#if CV_ENABLE_UNROLLED - for(; i <= n - 4; i += 4 ) - { - s += (_AccTp)fast_abs(a[i]) + (_AccTp)fast_abs(a[i+1]) + - (_AccTp)fast_abs(a[i+2]) + (_AccTp)fast_abs(a[i+3]); - } -#endif - for( ; i < n; i++ ) - s += fast_abs(a[i]); - return s; -} - - -template static inline -_AccTp normInf(const _Tp* a, int n) -{ - _AccTp s = 0; - for( int i = 0; i < n; i++ ) - s = std::max(s, (_AccTp)fast_abs(a[i])); - return s; -} - - -template static inline -_AccTp normL2Sqr(const _Tp* a, const _Tp* b, int n) -{ - _AccTp s = 0; - int i= 0; -#if CV_ENABLE_UNROLLED - for(; i <= n - 4; i += 4 ) - { - _AccTp v0 = _AccTp(a[i] - b[i]), v1 = _AccTp(a[i+1] - b[i+1]), v2 = _AccTp(a[i+2] - b[i+2]), v3 = _AccTp(a[i+3] - b[i+3]); - s += v0*v0 + v1*v1 + v2*v2 + v3*v3; - } -#endif - for( ; i < n; i++ ) - { - _AccTp v = _AccTp(a[i] - b[i]); - s += v*v; - } - return s; -} - -CV_EXPORTS float normL2Sqr_(const float* a, const float* b, int n); -CV_EXPORTS float normL1_(const float* a, const float* b, int n); -CV_EXPORTS int normL1_(const uchar* a, const uchar* b, int n); -CV_EXPORTS int normHamming(const uchar* a, const uchar* b, int n); -CV_EXPORTS int normHamming(const uchar* a, const uchar* b, int n, int cellSize); - -template<> inline float normL2Sqr(const float* a, const float* b, int n) -{ - if( n >= 8 ) - return normL2Sqr_(a, b, n); - float s = 0; - for( int i = 0; i < n; i++ ) - { - float v = a[i] - b[i]; - s += v*v; - } - return s; -} - - -template static inline -_AccTp normL1(const _Tp* a, const _Tp* b, int n) -{ - _AccTp s = 0; - int i= 0; -#if CV_ENABLE_UNROLLED - for(; i <= n - 4; i += 4 ) - { - _AccTp v0 = _AccTp(a[i] - b[i]), v1 = _AccTp(a[i+1] - b[i+1]), v2 = _AccTp(a[i+2] - b[i+2]), v3 = _AccTp(a[i+3] - b[i+3]); - s += std::abs(v0) + std::abs(v1) + std::abs(v2) + std::abs(v3); - } -#endif - for( ; i < n; i++ ) - { - _AccTp v = _AccTp(a[i] - b[i]); - s += std::abs(v); - } - return s; -} - -template<> inline float normL1(const float* a, const float* b, int n) -{ - if( n >= 8 ) - return normL1_(a, b, n); - float s = 0; - for( int i = 0; i < n; i++ ) - { - float v = a[i] - b[i]; - s += std::abs(v); - } - return s; -} - -template<> inline int normL1(const uchar* a, const uchar* b, int n) -{ - return normL1_(a, b, n); -} - -template static inline -_AccTp normInf(const _Tp* a, const _Tp* b, int n) -{ - _AccTp s = 0; - for( int i = 0; i < n; i++ ) - { - _AccTp v0 = a[i] - b[i]; - s = std::max(s, std::abs(v0)); - } - return s; -} - - -template static inline -double norm(const Matx<_Tp, m, n>& M) -{ - return std::sqrt(normL2Sqr<_Tp, double>(M.val, m*n)); -} - - -template static inline -double norm(const Matx<_Tp, m, n>& M, int normType) -{ - return normType == NORM_INF ? (double)normInf<_Tp, typename DataType<_Tp>::work_type>(M.val, m*n) : - normType == NORM_L1 ? (double)normL1<_Tp, typename DataType<_Tp>::work_type>(M.val, m*n) : - std::sqrt((double)normL2Sqr<_Tp, typename DataType<_Tp>::work_type>(M.val, m*n)); -} - - -template static inline -bool operator == (const Matx<_Tp, m, n>& a, const Matx<_Tp, m, n>& b) -{ - for( int i = 0; i < m*n; i++ ) - if( a.val[i] != b.val[i] ) return false; - return true; -} - -template static inline -bool operator != (const Matx<_Tp, m, n>& a, const Matx<_Tp, m, n>& b) -{ - return !(a == b); -} - - -template static inline -MatxCommaInitializer<_Tp, m, n> operator << (const Matx<_Tp, m, n>& mtx, _T2 val) -{ - MatxCommaInitializer<_Tp, m, n> commaInitializer((Matx<_Tp, m, n>*)&mtx); - return (commaInitializer, val); -} - -template inline -MatxCommaInitializer<_Tp, m, n>::MatxCommaInitializer(Matx<_Tp, m, n>* _mtx) - : dst(_mtx), idx(0) -{} - -template template inline -MatxCommaInitializer<_Tp, m, n>& MatxCommaInitializer<_Tp, m, n>::operator , (_T2 value) -{ - CV_DbgAssert( idx < m*n ); - dst->val[idx++] = saturate_cast<_Tp>(value); - return *this; -} - -template inline -Matx<_Tp, m, n> MatxCommaInitializer<_Tp, m, n>::operator *() const -{ - CV_DbgAssert( idx == n*m ); - return *dst; -} - -/////////////////////////// short vector (Vec) ///////////////////////////// - -template inline Vec<_Tp, cn>::Vec() -{} - -template inline Vec<_Tp, cn>::Vec(_Tp v0) - : Matx<_Tp, cn, 1>(v0) -{} - -template inline Vec<_Tp, cn>::Vec(_Tp v0, _Tp v1) - : Matx<_Tp, cn, 1>(v0, v1) -{} - -template inline Vec<_Tp, cn>::Vec(_Tp v0, _Tp v1, _Tp v2) - : Matx<_Tp, cn, 1>(v0, v1, v2) -{} - -template inline Vec<_Tp, cn>::Vec(_Tp v0, _Tp v1, _Tp v2, _Tp v3) - : Matx<_Tp, cn, 1>(v0, v1, v2, v3) -{} - -template inline Vec<_Tp, cn>::Vec(_Tp v0, _Tp v1, _Tp v2, _Tp v3, _Tp v4) - : Matx<_Tp, cn, 1>(v0, v1, v2, v3, v4) -{} - -template inline Vec<_Tp, cn>::Vec(_Tp v0, _Tp v1, _Tp v2, _Tp v3, _Tp v4, _Tp v5) - : Matx<_Tp, cn, 1>(v0, v1, v2, v3, v4, v5) -{} - -template inline Vec<_Tp, cn>::Vec(_Tp v0, _Tp v1, _Tp v2, _Tp v3, - _Tp v4, _Tp v5, _Tp v6) - : Matx<_Tp, cn, 1>(v0, v1, v2, v3, v4, v5, v6) -{} - -template inline Vec<_Tp, cn>::Vec(_Tp v0, _Tp v1, _Tp v2, _Tp v3, - _Tp v4, _Tp v5, _Tp v6, _Tp v7) - : Matx<_Tp, cn, 1>(v0, v1, v2, v3, v4, v5, v6, v7) -{} - -template inline Vec<_Tp, cn>::Vec(_Tp v0, _Tp v1, _Tp v2, _Tp v3, - _Tp v4, _Tp v5, _Tp v6, _Tp v7, - _Tp v8) - : Matx<_Tp, cn, 1>(v0, v1, v2, v3, v4, v5, v6, v7, v8) -{} - -template inline Vec<_Tp, cn>::Vec(_Tp v0, _Tp v1, _Tp v2, _Tp v3, - _Tp v4, _Tp v5, _Tp v6, _Tp v7, - _Tp v8, _Tp v9) - : Matx<_Tp, cn, 1>(v0, v1, v2, v3, v4, v5, v6, v7, v8, v9) -{} - -template inline Vec<_Tp, cn>::Vec(const _Tp* values) - : Matx<_Tp, cn, 1>(values) -{} - - -template inline Vec<_Tp, cn>::Vec(const Vec<_Tp, cn>& m) - : Matx<_Tp, cn, 1>(m.val) -{} - -template inline -Vec<_Tp, cn>::Vec(const Matx<_Tp, cn, 1>& a, const Matx<_Tp, cn, 1>& b, Matx_AddOp op) -: Matx<_Tp, cn, 1>(a, b, op) -{} - -template inline -Vec<_Tp, cn>::Vec(const Matx<_Tp, cn, 1>& a, const Matx<_Tp, cn, 1>& b, Matx_SubOp op) -: Matx<_Tp, cn, 1>(a, b, op) -{} - -template template inline -Vec<_Tp, cn>::Vec(const Matx<_Tp, cn, 1>& a, _T2 alpha, Matx_ScaleOp op) -: Matx<_Tp, cn, 1>(a, alpha, op) -{} - -template inline Vec<_Tp, cn> Vec<_Tp, cn>::all(_Tp alpha) -{ - Vec v; - for( int i = 0; i < cn; i++ ) v.val[i] = alpha; - return v; -} - -template inline Vec<_Tp, cn> Vec<_Tp, cn>::mul(const Vec<_Tp, cn>& v) const -{ - Vec<_Tp, cn> w; - for( int i = 0; i < cn; i++ ) w.val[i] = saturate_cast<_Tp>(this->val[i]*v.val[i]); - return w; -} - -template Vec<_Tp, 2> conjugate(const Vec<_Tp, 2>& v) -{ - return Vec<_Tp, 2>(v[0], -v[1]); -} - -template Vec<_Tp, 4> conjugate(const Vec<_Tp, 4>& v) -{ - return Vec<_Tp, 4>(v[0], -v[1], -v[2], -v[3]); -} - -template<> inline Vec Vec::conj() const -{ - return conjugate(*this); -} - -template<> inline Vec Vec::conj() const -{ - return conjugate(*this); -} - -template<> inline Vec Vec::conj() const -{ - return conjugate(*this); -} - -template<> inline Vec Vec::conj() const -{ - return conjugate(*this); -} - -template inline Vec<_Tp, cn> Vec<_Tp, cn>::cross(const Vec<_Tp, cn>&) const -{ - CV_Error(CV_StsError, "for arbitrary-size vector there is no cross-product defined"); - return Vec<_Tp, cn>(); -} - -template template -inline Vec<_Tp, cn>::operator Vec() const -{ - Vec v; - for( int i = 0; i < cn; i++ ) v.val[i] = saturate_cast(this->val[i]); - return v; -} - -template inline Vec<_Tp, cn>::operator CvScalar() const -{ - CvScalar s = {{0,0,0,0}}; - int i; - for( i = 0; i < std::min(cn, 4); i++ ) s.val[i] = this->val[i]; - for( ; i < 4; i++ ) s.val[i] = 0; - return s; -} - -template inline const _Tp& Vec<_Tp, cn>::operator [](int i) const -{ - CV_DbgAssert( (unsigned)i < (unsigned)cn ); - return this->val[i]; -} - -template inline _Tp& Vec<_Tp, cn>::operator [](int i) -{ - CV_DbgAssert( (unsigned)i < (unsigned)cn ); - return this->val[i]; -} - -template inline const _Tp& Vec<_Tp, cn>::operator ()(int i) const -{ - CV_DbgAssert( (unsigned)i < (unsigned)cn ); - return this->val[i]; -} - -template inline _Tp& Vec<_Tp, cn>::operator ()(int i) -{ - CV_DbgAssert( (unsigned)i < (unsigned)cn ); - return this->val[i]; -} - -template static inline Vec<_Tp1, cn>& -operator += (Vec<_Tp1, cn>& a, const Vec<_Tp2, cn>& b) -{ - for( int i = 0; i < cn; i++ ) - a.val[i] = saturate_cast<_Tp1>(a.val[i] + b.val[i]); - return a; -} - -template static inline Vec<_Tp1, cn>& -operator -= (Vec<_Tp1, cn>& a, const Vec<_Tp2, cn>& b) -{ - for( int i = 0; i < cn; i++ ) - a.val[i] = saturate_cast<_Tp1>(a.val[i] - b.val[i]); - return a; -} - -template static inline Vec<_Tp, cn> -operator + (const Vec<_Tp, cn>& a, const Vec<_Tp, cn>& b) -{ - return Vec<_Tp, cn>(a, b, Matx_AddOp()); -} - -template static inline Vec<_Tp, cn> -operator - (const Vec<_Tp, cn>& a, const Vec<_Tp, cn>& b) -{ - return Vec<_Tp, cn>(a, b, Matx_SubOp()); -} - -template static inline -Vec<_Tp, cn>& operator *= (Vec<_Tp, cn>& a, int alpha) -{ - for( int i = 0; i < cn; i++ ) - a[i] = saturate_cast<_Tp>(a[i]*alpha); - return a; -} - -template static inline -Vec<_Tp, cn>& operator *= (Vec<_Tp, cn>& a, float alpha) -{ - for( int i = 0; i < cn; i++ ) - a[i] = saturate_cast<_Tp>(a[i]*alpha); - return a; -} - -template static inline -Vec<_Tp, cn>& operator *= (Vec<_Tp, cn>& a, double alpha) -{ - for( int i = 0; i < cn; i++ ) - a[i] = saturate_cast<_Tp>(a[i]*alpha); - return a; -} - -template static inline -Vec<_Tp, cn>& operator /= (Vec<_Tp, cn>& a, int alpha) -{ - double ialpha = 1./alpha; - for( int i = 0; i < cn; i++ ) - a[i] = saturate_cast<_Tp>(a[i]*ialpha); - return a; -} - -template static inline -Vec<_Tp, cn>& operator /= (Vec<_Tp, cn>& a, float alpha) -{ - float ialpha = 1.f/alpha; - for( int i = 0; i < cn; i++ ) - a[i] = saturate_cast<_Tp>(a[i]*ialpha); - return a; -} - -template static inline -Vec<_Tp, cn>& operator /= (Vec<_Tp, cn>& a, double alpha) -{ - double ialpha = 1./alpha; - for( int i = 0; i < cn; i++ ) - a[i] = saturate_cast<_Tp>(a[i]*ialpha); - return a; -} - -template static inline Vec<_Tp, cn> -operator * (const Vec<_Tp, cn>& a, int alpha) -{ - return Vec<_Tp, cn>(a, alpha, Matx_ScaleOp()); -} - -template static inline Vec<_Tp, cn> -operator * (int alpha, const Vec<_Tp, cn>& a) -{ - return Vec<_Tp, cn>(a, alpha, Matx_ScaleOp()); -} - -template static inline Vec<_Tp, cn> -operator * (const Vec<_Tp, cn>& a, float alpha) -{ - return Vec<_Tp, cn>(a, alpha, Matx_ScaleOp()); -} - -template static inline Vec<_Tp, cn> -operator * (float alpha, const Vec<_Tp, cn>& a) -{ - return Vec<_Tp, cn>(a, alpha, Matx_ScaleOp()); -} - -template static inline Vec<_Tp, cn> -operator * (const Vec<_Tp, cn>& a, double alpha) -{ - return Vec<_Tp, cn>(a, alpha, Matx_ScaleOp()); -} - -template static inline Vec<_Tp, cn> -operator * (double alpha, const Vec<_Tp, cn>& a) -{ - return Vec<_Tp, cn>(a, alpha, Matx_ScaleOp()); -} - -template static inline Vec<_Tp, cn> -operator / (const Vec<_Tp, cn>& a, int alpha) -{ - return Vec<_Tp, cn>(a, 1./alpha, Matx_ScaleOp()); -} - -template static inline Vec<_Tp, cn> -operator / (const Vec<_Tp, cn>& a, float alpha) -{ - return Vec<_Tp, cn>(a, 1.f/alpha, Matx_ScaleOp()); -} - -template static inline Vec<_Tp, cn> -operator / (const Vec<_Tp, cn>& a, double alpha) -{ - return Vec<_Tp, cn>(a, 1./alpha, Matx_ScaleOp()); -} - -template static inline Vec<_Tp, cn> -operator - (const Vec<_Tp, cn>& a) -{ - Vec<_Tp,cn> t; - for( int i = 0; i < cn; i++ ) t.val[i] = saturate_cast<_Tp>(-a.val[i]); - return t; -} - -template inline Vec<_Tp, 4> operator * (const Vec<_Tp, 4>& v1, const Vec<_Tp, 4>& v2) -{ - return Vec<_Tp, 4>(saturate_cast<_Tp>(v1[0]*v2[0] - v1[1]*v2[1] - v1[2]*v2[2] - v1[3]*v2[3]), - saturate_cast<_Tp>(v1[0]*v2[1] + v1[1]*v2[0] + v1[2]*v2[3] - v1[3]*v2[2]), - saturate_cast<_Tp>(v1[0]*v2[2] - v1[1]*v2[3] + v1[2]*v2[0] + v1[3]*v2[1]), - saturate_cast<_Tp>(v1[0]*v2[3] + v1[1]*v2[2] - v1[2]*v2[1] + v1[3]*v2[0])); -} - -template inline Vec<_Tp, 4>& operator *= (Vec<_Tp, 4>& v1, const Vec<_Tp, 4>& v2) -{ - v1 = v1 * v2; - return v1; -} - -template<> inline Vec Vec::cross(const Vec& v) const -{ - return Vec(val[1]*v.val[2] - val[2]*v.val[1], - val[2]*v.val[0] - val[0]*v.val[2], - val[0]*v.val[1] - val[1]*v.val[0]); -} - -template<> inline Vec Vec::cross(const Vec& v) const -{ - return Vec(val[1]*v.val[2] - val[2]*v.val[1], - val[2]*v.val[0] - val[0]*v.val[2], - val[0]*v.val[1] - val[1]*v.val[0]); -} - -template inline Vec<_Tp, cn> normalize(const Vec<_Tp, cn>& v) -{ - double nv = norm(v); - return v * (nv ? 1./nv : 0.); -} - -template static inline -VecCommaInitializer<_Tp, cn> operator << (const Vec<_Tp, cn>& vec, _T2 val) -{ - VecCommaInitializer<_Tp, cn> commaInitializer((Vec<_Tp, cn>*)&vec); - return (commaInitializer, val); -} - -template inline -VecCommaInitializer<_Tp, cn>::VecCommaInitializer(Vec<_Tp, cn>* _vec) - : MatxCommaInitializer<_Tp, cn, 1>(_vec) -{} - -template template inline -VecCommaInitializer<_Tp, cn>& VecCommaInitializer<_Tp, cn>::operator , (_T2 value) -{ - CV_DbgAssert( this->idx < cn ); - this->dst->val[this->idx++] = saturate_cast<_Tp>(value); - return *this; -} - -template inline -Vec<_Tp, cn> VecCommaInitializer<_Tp, cn>::operator *() const -{ - CV_DbgAssert( this->idx == cn ); - return *this->dst; -} - -//////////////////////////////// Complex ////////////////////////////// - -template inline Complex<_Tp>::Complex() : re(0), im(0) {} -template inline Complex<_Tp>::Complex( _Tp _re, _Tp _im ) : re(_re), im(_im) {} -template template inline Complex<_Tp>::operator Complex() const -{ return Complex(saturate_cast(re), saturate_cast(im)); } -template inline Complex<_Tp> Complex<_Tp>::conj() const -{ return Complex<_Tp>(re, -im); } - -template static inline -bool operator == (const Complex<_Tp>& a, const Complex<_Tp>& b) -{ return a.re == b.re && a.im == b.im; } - -template static inline -bool operator != (const Complex<_Tp>& a, const Complex<_Tp>& b) -{ return a.re != b.re || a.im != b.im; } - -template static inline -Complex<_Tp> operator + (const Complex<_Tp>& a, const Complex<_Tp>& b) -{ return Complex<_Tp>( a.re + b.re, a.im + b.im ); } - -template static inline -Complex<_Tp>& operator += (Complex<_Tp>& a, const Complex<_Tp>& b) -{ a.re += b.re; a.im += b.im; return a; } - -template static inline -Complex<_Tp> operator - (const Complex<_Tp>& a, const Complex<_Tp>& b) -{ return Complex<_Tp>( a.re - b.re, a.im - b.im ); } - -template static inline -Complex<_Tp>& operator -= (Complex<_Tp>& a, const Complex<_Tp>& b) -{ a.re -= b.re; a.im -= b.im; return a; } - -template static inline -Complex<_Tp> operator - (const Complex<_Tp>& a) -{ return Complex<_Tp>(-a.re, -a.im); } - -template static inline -Complex<_Tp> operator * (const Complex<_Tp>& a, const Complex<_Tp>& b) -{ return Complex<_Tp>( a.re*b.re - a.im*b.im, a.re*b.im + a.im*b.re ); } - -template static inline -Complex<_Tp> operator * (const Complex<_Tp>& a, _Tp b) -{ return Complex<_Tp>( a.re*b, a.im*b ); } - -template static inline -Complex<_Tp> operator * (_Tp b, const Complex<_Tp>& a) -{ return Complex<_Tp>( a.re*b, a.im*b ); } - -template static inline -Complex<_Tp> operator + (const Complex<_Tp>& a, _Tp b) -{ return Complex<_Tp>( a.re + b, a.im ); } - -template static inline -Complex<_Tp> operator - (const Complex<_Tp>& a, _Tp b) -{ return Complex<_Tp>( a.re - b, a.im ); } - -template static inline -Complex<_Tp> operator + (_Tp b, const Complex<_Tp>& a) -{ return Complex<_Tp>( a.re + b, a.im ); } - -template static inline -Complex<_Tp> operator - (_Tp b, const Complex<_Tp>& a) -{ return Complex<_Tp>( b - a.re, -a.im ); } - -template static inline -Complex<_Tp>& operator += (Complex<_Tp>& a, _Tp b) -{ a.re += b; return a; } - -template static inline -Complex<_Tp>& operator -= (Complex<_Tp>& a, _Tp b) -{ a.re -= b; return a; } - -template static inline -Complex<_Tp>& operator *= (Complex<_Tp>& a, _Tp b) -{ a.re *= b; a.im *= b; return a; } - -template static inline -double abs(const Complex<_Tp>& a) -{ return std::sqrt( (double)a.re*a.re + (double)a.im*a.im); } - -template static inline -Complex<_Tp> operator / (const Complex<_Tp>& a, const Complex<_Tp>& b) -{ - double t = 1./((double)b.re*b.re + (double)b.im*b.im); - return Complex<_Tp>( (_Tp)((a.re*b.re + a.im*b.im)*t), - (_Tp)((-a.re*b.im + a.im*b.re)*t) ); -} - -template static inline -Complex<_Tp>& operator /= (Complex<_Tp>& a, const Complex<_Tp>& b) -{ - return (a = a / b); -} - -template static inline -Complex<_Tp> operator / (const Complex<_Tp>& a, _Tp b) -{ - _Tp t = (_Tp)1/b; - return Complex<_Tp>( a.re*t, a.im*t ); -} - -template static inline -Complex<_Tp> operator / (_Tp b, const Complex<_Tp>& a) -{ - return Complex<_Tp>(b)/a; -} - -template static inline -Complex<_Tp> operator /= (const Complex<_Tp>& a, _Tp b) -{ - _Tp t = (_Tp)1/b; - a.re *= t; a.im *= t; return a; -} - -//////////////////////////////// 2D Point //////////////////////////////// - -template inline Point_<_Tp>::Point_() : x(0), y(0) {} -template inline Point_<_Tp>::Point_(_Tp _x, _Tp _y) : x(_x), y(_y) {} -template inline Point_<_Tp>::Point_(const Point_& pt) : x(pt.x), y(pt.y) {} -template inline Point_<_Tp>::Point_(const CvPoint& pt) : x((_Tp)pt.x), y((_Tp)pt.y) {} -template inline Point_<_Tp>::Point_(const CvPoint2D32f& pt) - : x(saturate_cast<_Tp>(pt.x)), y(saturate_cast<_Tp>(pt.y)) {} -template inline Point_<_Tp>::Point_(const Size_<_Tp>& sz) : x(sz.width), y(sz.height) {} -template inline Point_<_Tp>::Point_(const Vec<_Tp,2>& v) : x(v[0]), y(v[1]) {} -template inline Point_<_Tp>& Point_<_Tp>::operator = (const Point_& pt) -{ x = pt.x; y = pt.y; return *this; } - -template template inline Point_<_Tp>::operator Point_<_Tp2>() const -{ return Point_<_Tp2>(saturate_cast<_Tp2>(x), saturate_cast<_Tp2>(y)); } -template inline Point_<_Tp>::operator CvPoint() const -{ return cvPoint(saturate_cast(x), saturate_cast(y)); } -template inline Point_<_Tp>::operator CvPoint2D32f() const -{ return cvPoint2D32f((float)x, (float)y); } -template inline Point_<_Tp>::operator Vec<_Tp, 2>() const -{ return Vec<_Tp, 2>(x, y); } - -template inline _Tp Point_<_Tp>::dot(const Point_& pt) const -{ return saturate_cast<_Tp>(x*pt.x + y*pt.y); } -template inline double Point_<_Tp>::ddot(const Point_& pt) const -{ return (double)x*pt.x + (double)y*pt.y; } - -template inline double Point_<_Tp>::cross(const Point_& pt) const -{ return (double)x*pt.y - (double)y*pt.x; } - -template static inline Point_<_Tp>& -operator += (Point_<_Tp>& a, const Point_<_Tp>& b) -{ - a.x = saturate_cast<_Tp>(a.x + b.x); - a.y = saturate_cast<_Tp>(a.y + b.y); - return a; -} - -template static inline Point_<_Tp>& -operator -= (Point_<_Tp>& a, const Point_<_Tp>& b) -{ - a.x = saturate_cast<_Tp>(a.x - b.x); - a.y = saturate_cast<_Tp>(a.y - b.y); - return a; -} - -template static inline Point_<_Tp>& -operator *= (Point_<_Tp>& a, int b) -{ - a.x = saturate_cast<_Tp>(a.x*b); - a.y = saturate_cast<_Tp>(a.y*b); - return a; -} - -template static inline Point_<_Tp>& -operator *= (Point_<_Tp>& a, float b) -{ - a.x = saturate_cast<_Tp>(a.x*b); - a.y = saturate_cast<_Tp>(a.y*b); - return a; -} - -template static inline Point_<_Tp>& -operator *= (Point_<_Tp>& a, double b) -{ - a.x = saturate_cast<_Tp>(a.x*b); - a.y = saturate_cast<_Tp>(a.y*b); - return a; -} - -template static inline double norm(const Point_<_Tp>& pt) -{ return std::sqrt((double)pt.x*pt.x + (double)pt.y*pt.y); } - -template static inline bool operator == (const Point_<_Tp>& a, const Point_<_Tp>& b) -{ return a.x == b.x && a.y == b.y; } - -template static inline bool operator != (const Point_<_Tp>& a, const Point_<_Tp>& b) -{ return a.x != b.x || a.y != b.y; } - -template static inline Point_<_Tp> operator + (const Point_<_Tp>& a, const Point_<_Tp>& b) -{ return Point_<_Tp>( saturate_cast<_Tp>(a.x + b.x), saturate_cast<_Tp>(a.y + b.y) ); } - -template static inline Point_<_Tp> operator - (const Point_<_Tp>& a, const Point_<_Tp>& b) -{ return Point_<_Tp>( saturate_cast<_Tp>(a.x - b.x), saturate_cast<_Tp>(a.y - b.y) ); } - -template static inline Point_<_Tp> operator - (const Point_<_Tp>& a) -{ return Point_<_Tp>( saturate_cast<_Tp>(-a.x), saturate_cast<_Tp>(-a.y) ); } - -template static inline Point_<_Tp> operator * (const Point_<_Tp>& a, int b) -{ return Point_<_Tp>( saturate_cast<_Tp>(a.x*b), saturate_cast<_Tp>(a.y*b) ); } - -template static inline Point_<_Tp> operator * (int a, const Point_<_Tp>& b) -{ return Point_<_Tp>( saturate_cast<_Tp>(b.x*a), saturate_cast<_Tp>(b.y*a) ); } - -template static inline Point_<_Tp> operator * (const Point_<_Tp>& a, float b) -{ return Point_<_Tp>( saturate_cast<_Tp>(a.x*b), saturate_cast<_Tp>(a.y*b) ); } - -template static inline Point_<_Tp> operator * (float a, const Point_<_Tp>& b) -{ return Point_<_Tp>( saturate_cast<_Tp>(b.x*a), saturate_cast<_Tp>(b.y*a) ); } - -template static inline Point_<_Tp> operator * (const Point_<_Tp>& a, double b) -{ return Point_<_Tp>( saturate_cast<_Tp>(a.x*b), saturate_cast<_Tp>(a.y*b) ); } - -template static inline Point_<_Tp> operator * (double a, const Point_<_Tp>& b) -{ return Point_<_Tp>( saturate_cast<_Tp>(b.x*a), saturate_cast<_Tp>(b.y*a) ); } - -//////////////////////////////// 3D Point //////////////////////////////// - -template inline Point3_<_Tp>::Point3_() : x(0), y(0), z(0) {} -template inline Point3_<_Tp>::Point3_(_Tp _x, _Tp _y, _Tp _z) : x(_x), y(_y), z(_z) {} -template inline Point3_<_Tp>::Point3_(const Point3_& pt) : x(pt.x), y(pt.y), z(pt.z) {} -template inline Point3_<_Tp>::Point3_(const Point_<_Tp>& pt) : x(pt.x), y(pt.y), z(_Tp()) {} -template inline Point3_<_Tp>::Point3_(const CvPoint3D32f& pt) : - x(saturate_cast<_Tp>(pt.x)), y(saturate_cast<_Tp>(pt.y)), z(saturate_cast<_Tp>(pt.z)) {} -template inline Point3_<_Tp>::Point3_(const Vec<_Tp, 3>& v) : x(v[0]), y(v[1]), z(v[2]) {} - -template template inline Point3_<_Tp>::operator Point3_<_Tp2>() const -{ return Point3_<_Tp2>(saturate_cast<_Tp2>(x), saturate_cast<_Tp2>(y), saturate_cast<_Tp2>(z)); } - -template inline Point3_<_Tp>::operator CvPoint3D32f() const -{ return cvPoint3D32f((float)x, (float)y, (float)z); } - -template inline Point3_<_Tp>::operator Vec<_Tp, 3>() const -{ return Vec<_Tp, 3>(x, y, z); } - -template inline Point3_<_Tp>& Point3_<_Tp>::operator = (const Point3_& pt) -{ x = pt.x; y = pt.y; z = pt.z; return *this; } - -template inline _Tp Point3_<_Tp>::dot(const Point3_& pt) const -{ return saturate_cast<_Tp>(x*pt.x + y*pt.y + z*pt.z); } -template inline double Point3_<_Tp>::ddot(const Point3_& pt) const -{ return (double)x*pt.x + (double)y*pt.y + (double)z*pt.z; } - -template inline Point3_<_Tp> Point3_<_Tp>::cross(const Point3_<_Tp>& pt) const -{ - return Point3_<_Tp>(y*pt.z - z*pt.y, z*pt.x - x*pt.z, x*pt.y - y*pt.x); -} - -template static inline Point3_<_Tp>& -operator += (Point3_<_Tp>& a, const Point3_<_Tp>& b) -{ - a.x = saturate_cast<_Tp>(a.x + b.x); - a.y = saturate_cast<_Tp>(a.y + b.y); - a.z = saturate_cast<_Tp>(a.z + b.z); - return a; -} - -template static inline Point3_<_Tp>& -operator -= (Point3_<_Tp>& a, const Point3_<_Tp>& b) -{ - a.x = saturate_cast<_Tp>(a.x - b.x); - a.y = saturate_cast<_Tp>(a.y - b.y); - a.z = saturate_cast<_Tp>(a.z - b.z); - return a; -} - -template static inline Point3_<_Tp>& -operator *= (Point3_<_Tp>& a, int b) -{ - a.x = saturate_cast<_Tp>(a.x*b); - a.y = saturate_cast<_Tp>(a.y*b); - a.z = saturate_cast<_Tp>(a.z*b); - return a; -} - -template static inline Point3_<_Tp>& -operator *= (Point3_<_Tp>& a, float b) -{ - a.x = saturate_cast<_Tp>(a.x*b); - a.y = saturate_cast<_Tp>(a.y*b); - a.z = saturate_cast<_Tp>(a.z*b); - return a; -} - -template static inline Point3_<_Tp>& -operator *= (Point3_<_Tp>& a, double b) -{ - a.x = saturate_cast<_Tp>(a.x*b); - a.y = saturate_cast<_Tp>(a.y*b); - a.z = saturate_cast<_Tp>(a.z*b); - return a; -} - -template static inline double norm(const Point3_<_Tp>& pt) -{ return std::sqrt((double)pt.x*pt.x + (double)pt.y*pt.y + (double)pt.z*pt.z); } - -template static inline bool operator == (const Point3_<_Tp>& a, const Point3_<_Tp>& b) -{ return a.x == b.x && a.y == b.y && a.z == b.z; } - -template static inline bool operator != (const Point3_<_Tp>& a, const Point3_<_Tp>& b) -{ return a.x != b.x || a.y != b.y || a.z != b.z; } - -template static inline Point3_<_Tp> operator + (const Point3_<_Tp>& a, const Point3_<_Tp>& b) -{ return Point3_<_Tp>( saturate_cast<_Tp>(a.x + b.x), - saturate_cast<_Tp>(a.y + b.y), - saturate_cast<_Tp>(a.z + b.z)); } - -template static inline Point3_<_Tp> operator - (const Point3_<_Tp>& a, const Point3_<_Tp>& b) -{ return Point3_<_Tp>( saturate_cast<_Tp>(a.x - b.x), - saturate_cast<_Tp>(a.y - b.y), - saturate_cast<_Tp>(a.z - b.z)); } - -template static inline Point3_<_Tp> operator - (const Point3_<_Tp>& a) -{ return Point3_<_Tp>( saturate_cast<_Tp>(-a.x), - saturate_cast<_Tp>(-a.y), - saturate_cast<_Tp>(-a.z) ); } - -template static inline Point3_<_Tp> operator * (const Point3_<_Tp>& a, int b) -{ return Point3_<_Tp>( saturate_cast<_Tp>(a.x*b), - saturate_cast<_Tp>(a.y*b), - saturate_cast<_Tp>(a.z*b) ); } - -template static inline Point3_<_Tp> operator * (int a, const Point3_<_Tp>& b) -{ return Point3_<_Tp>( saturate_cast<_Tp>(b.x*a), - saturate_cast<_Tp>(b.y*a), - saturate_cast<_Tp>(b.z*a) ); } - -template static inline Point3_<_Tp> operator * (const Point3_<_Tp>& a, float b) -{ return Point3_<_Tp>( saturate_cast<_Tp>(a.x*b), - saturate_cast<_Tp>(a.y*b), - saturate_cast<_Tp>(a.z*b) ); } - -template static inline Point3_<_Tp> operator * (float a, const Point3_<_Tp>& b) -{ return Point3_<_Tp>( saturate_cast<_Tp>(b.x*a), - saturate_cast<_Tp>(b.y*a), - saturate_cast<_Tp>(b.z*a) ); } - -template static inline Point3_<_Tp> operator * (const Point3_<_Tp>& a, double b) -{ return Point3_<_Tp>( saturate_cast<_Tp>(a.x*b), - saturate_cast<_Tp>(a.y*b), - saturate_cast<_Tp>(a.z*b) ); } - -template static inline Point3_<_Tp> operator * (double a, const Point3_<_Tp>& b) -{ return Point3_<_Tp>( saturate_cast<_Tp>(b.x*a), - saturate_cast<_Tp>(b.y*a), - saturate_cast<_Tp>(b.z*a) ); } - -//////////////////////////////// Size //////////////////////////////// - -template inline Size_<_Tp>::Size_() - : width(0), height(0) {} -template inline Size_<_Tp>::Size_(_Tp _width, _Tp _height) - : width(_width), height(_height) {} -template inline Size_<_Tp>::Size_(const Size_& sz) - : width(sz.width), height(sz.height) {} -template inline Size_<_Tp>::Size_(const CvSize& sz) - : width(saturate_cast<_Tp>(sz.width)), height(saturate_cast<_Tp>(sz.height)) {} -template inline Size_<_Tp>::Size_(const CvSize2D32f& sz) - : width(saturate_cast<_Tp>(sz.width)), height(saturate_cast<_Tp>(sz.height)) {} -template inline Size_<_Tp>::Size_(const Point_<_Tp>& pt) : width(pt.x), height(pt.y) {} - -template template inline Size_<_Tp>::operator Size_<_Tp2>() const -{ return Size_<_Tp2>(saturate_cast<_Tp2>(width), saturate_cast<_Tp2>(height)); } -template inline Size_<_Tp>::operator CvSize() const -{ return cvSize(saturate_cast(width), saturate_cast(height)); } -template inline Size_<_Tp>::operator CvSize2D32f() const -{ return cvSize2D32f((float)width, (float)height); } - -template inline Size_<_Tp>& Size_<_Tp>::operator = (const Size_<_Tp>& sz) -{ width = sz.width; height = sz.height; return *this; } -template static inline Size_<_Tp> operator * (const Size_<_Tp>& a, _Tp b) -{ return Size_<_Tp>(a.width * b, a.height * b); } -template static inline Size_<_Tp> operator + (const Size_<_Tp>& a, const Size_<_Tp>& b) -{ return Size_<_Tp>(a.width + b.width, a.height + b.height); } -template static inline Size_<_Tp> operator - (const Size_<_Tp>& a, const Size_<_Tp>& b) -{ return Size_<_Tp>(a.width - b.width, a.height - b.height); } -template inline _Tp Size_<_Tp>::area() const { return width*height; } - -template static inline Size_<_Tp>& operator += (Size_<_Tp>& a, const Size_<_Tp>& b) -{ a.width += b.width; a.height += b.height; return a; } -template static inline Size_<_Tp>& operator -= (Size_<_Tp>& a, const Size_<_Tp>& b) -{ a.width -= b.width; a.height -= b.height; return a; } - -template static inline bool operator == (const Size_<_Tp>& a, const Size_<_Tp>& b) -{ return a.width == b.width && a.height == b.height; } -template static inline bool operator != (const Size_<_Tp>& a, const Size_<_Tp>& b) -{ return a.width != b.width || a.height != b.height; } - -//////////////////////////////// Rect //////////////////////////////// - - -template inline Rect_<_Tp>::Rect_() : x(0), y(0), width(0), height(0) {} -template inline Rect_<_Tp>::Rect_(_Tp _x, _Tp _y, _Tp _width, _Tp _height) : x(_x), y(_y), width(_width), height(_height) {} -template inline Rect_<_Tp>::Rect_(const Rect_<_Tp>& r) : x(r.x), y(r.y), width(r.width), height(r.height) {} -template inline Rect_<_Tp>::Rect_(const CvRect& r) : x((_Tp)r.x), y((_Tp)r.y), width((_Tp)r.width), height((_Tp)r.height) {} -template inline Rect_<_Tp>::Rect_(const Point_<_Tp>& org, const Size_<_Tp>& sz) : - x(org.x), y(org.y), width(sz.width), height(sz.height) {} -template inline Rect_<_Tp>::Rect_(const Point_<_Tp>& pt1, const Point_<_Tp>& pt2) -{ - x = std::min(pt1.x, pt2.x); y = std::min(pt1.y, pt2.y); - width = std::max(pt1.x, pt2.x) - x; height = std::max(pt1.y, pt2.y) - y; -} -template inline Rect_<_Tp>& Rect_<_Tp>::operator = ( const Rect_<_Tp>& r ) -{ x = r.x; y = r.y; width = r.width; height = r.height; return *this; } - -template inline Point_<_Tp> Rect_<_Tp>::tl() const { return Point_<_Tp>(x,y); } -template inline Point_<_Tp> Rect_<_Tp>::br() const { return Point_<_Tp>(x+width, y+height); } - -template static inline Rect_<_Tp>& operator += ( Rect_<_Tp>& a, const Point_<_Tp>& b ) -{ a.x += b.x; a.y += b.y; return a; } -template static inline Rect_<_Tp>& operator -= ( Rect_<_Tp>& a, const Point_<_Tp>& b ) -{ a.x -= b.x; a.y -= b.y; return a; } - -template static inline Rect_<_Tp>& operator += ( Rect_<_Tp>& a, const Size_<_Tp>& b ) -{ a.width += b.width; a.height += b.height; return a; } - -template static inline Rect_<_Tp>& operator -= ( Rect_<_Tp>& a, const Size_<_Tp>& b ) -{ a.width -= b.width; a.height -= b.height; return a; } - -template static inline Rect_<_Tp>& operator &= ( Rect_<_Tp>& a, const Rect_<_Tp>& b ) -{ - _Tp x1 = std::max(a.x, b.x), y1 = std::max(a.y, b.y); - a.width = std::min(a.x + a.width, b.x + b.width) - x1; - a.height = std::min(a.y + a.height, b.y + b.height) - y1; - a.x = x1; a.y = y1; - if( a.width <= 0 || a.height <= 0 ) - a = Rect(); - return a; -} - -template static inline Rect_<_Tp>& operator |= ( Rect_<_Tp>& a, const Rect_<_Tp>& b ) -{ - _Tp x1 = std::min(a.x, b.x), y1 = std::min(a.y, b.y); - a.width = std::max(a.x + a.width, b.x + b.width) - x1; - a.height = std::max(a.y + a.height, b.y + b.height) - y1; - a.x = x1; a.y = y1; - return a; -} - -template inline Size_<_Tp> Rect_<_Tp>::size() const { return Size_<_Tp>(width, height); } -template inline _Tp Rect_<_Tp>::area() const { return width*height; } - -template template inline Rect_<_Tp>::operator Rect_<_Tp2>() const -{ return Rect_<_Tp2>(saturate_cast<_Tp2>(x), saturate_cast<_Tp2>(y), - saturate_cast<_Tp2>(width), saturate_cast<_Tp2>(height)); } -template inline Rect_<_Tp>::operator CvRect() const -{ return cvRect(saturate_cast(x), saturate_cast(y), - saturate_cast(width), saturate_cast(height)); } - -template inline bool Rect_<_Tp>::contains(const Point_<_Tp>& pt) const -{ return x <= pt.x && pt.x < x + width && y <= pt.y && pt.y < y + height; } - -template static inline bool operator == (const Rect_<_Tp>& a, const Rect_<_Tp>& b) -{ - return a.x == b.x && a.y == b.y && a.width == b.width && a.height == b.height; -} - -template static inline bool operator != (const Rect_<_Tp>& a, const Rect_<_Tp>& b) -{ - return a.x != b.x || a.y != b.y || a.width != b.width || a.height != b.height; -} - -template static inline Rect_<_Tp> operator + (const Rect_<_Tp>& a, const Point_<_Tp>& b) -{ - return Rect_<_Tp>( a.x + b.x, a.y + b.y, a.width, a.height ); -} - -template static inline Rect_<_Tp> operator - (const Rect_<_Tp>& a, const Point_<_Tp>& b) -{ - return Rect_<_Tp>( a.x - b.x, a.y - b.y, a.width, a.height ); -} - -template static inline Rect_<_Tp> operator + (const Rect_<_Tp>& a, const Size_<_Tp>& b) -{ - return Rect_<_Tp>( a.x, a.y, a.width + b.width, a.height + b.height ); -} - -template static inline Rect_<_Tp> operator & (const Rect_<_Tp>& a, const Rect_<_Tp>& b) -{ - Rect_<_Tp> c = a; - return c &= b; -} - -template static inline Rect_<_Tp> operator | (const Rect_<_Tp>& a, const Rect_<_Tp>& b) -{ - Rect_<_Tp> c = a; - return c |= b; -} - -template inline bool Point_<_Tp>::inside( const Rect_<_Tp>& r ) const -{ - return r.contains(*this); -} - -inline RotatedRect::RotatedRect() { angle = 0; } -inline RotatedRect::RotatedRect(const Point2f& _center, const Size2f& _size, float _angle) - : center(_center), size(_size), angle(_angle) {} -inline RotatedRect::RotatedRect(const CvBox2D& box) - : center(box.center), size(box.size), angle(box.angle) {} -inline RotatedRect::operator CvBox2D() const -{ - CvBox2D box; box.center = center; box.size = size; box.angle = angle; - return box; -} - -//////////////////////////////// Scalar_ /////////////////////////////// - -template inline Scalar_<_Tp>::Scalar_() -{ this->val[0] = this->val[1] = this->val[2] = this->val[3] = 0; } - -template inline Scalar_<_Tp>::Scalar_(_Tp v0, _Tp v1, _Tp v2, _Tp v3) -{ this->val[0] = v0; this->val[1] = v1; this->val[2] = v2; this->val[3] = v3; } - -template inline Scalar_<_Tp>::Scalar_(const CvScalar& s) -{ - this->val[0] = saturate_cast<_Tp>(s.val[0]); - this->val[1] = saturate_cast<_Tp>(s.val[1]); - this->val[2] = saturate_cast<_Tp>(s.val[2]); - this->val[3] = saturate_cast<_Tp>(s.val[3]); -} - -template inline Scalar_<_Tp>::Scalar_(_Tp v0) -{ this->val[0] = v0; this->val[1] = this->val[2] = this->val[3] = 0; } - -template inline Scalar_<_Tp> Scalar_<_Tp>::all(_Tp v0) -{ return Scalar_<_Tp>(v0, v0, v0, v0); } -template inline Scalar_<_Tp>::operator CvScalar() const -{ return cvScalar(this->val[0], this->val[1], this->val[2], this->val[3]); } - -template template inline Scalar_<_Tp>::operator Scalar_() const -{ - return Scalar_(saturate_cast(this->val[0]), - saturate_cast(this->val[1]), - saturate_cast(this->val[2]), - saturate_cast(this->val[3])); -} - -template static inline Scalar_<_Tp>& operator += (Scalar_<_Tp>& a, const Scalar_<_Tp>& b) -{ - a.val[0] = saturate_cast<_Tp>(a.val[0] + b.val[0]); - a.val[1] = saturate_cast<_Tp>(a.val[1] + b.val[1]); - a.val[2] = saturate_cast<_Tp>(a.val[2] + b.val[2]); - a.val[3] = saturate_cast<_Tp>(a.val[3] + b.val[3]); - return a; -} - -template static inline Scalar_<_Tp>& operator -= (Scalar_<_Tp>& a, const Scalar_<_Tp>& b) -{ - a.val[0] = saturate_cast<_Tp>(a.val[0] - b.val[0]); - a.val[1] = saturate_cast<_Tp>(a.val[1] - b.val[1]); - a.val[2] = saturate_cast<_Tp>(a.val[2] - b.val[2]); - a.val[3] = saturate_cast<_Tp>(a.val[3] - b.val[3]); - return a; -} - -template static inline Scalar_<_Tp>& operator *= ( Scalar_<_Tp>& a, _Tp v ) -{ - a.val[0] = saturate_cast<_Tp>(a.val[0] * v); - a.val[1] = saturate_cast<_Tp>(a.val[1] * v); - a.val[2] = saturate_cast<_Tp>(a.val[2] * v); - a.val[3] = saturate_cast<_Tp>(a.val[3] * v); - return a; -} - -template inline Scalar_<_Tp> Scalar_<_Tp>::mul(const Scalar_<_Tp>& t, double scale ) const -{ - return Scalar_<_Tp>( saturate_cast<_Tp>(this->val[0]*t.val[0]*scale), - saturate_cast<_Tp>(this->val[1]*t.val[1]*scale), - saturate_cast<_Tp>(this->val[2]*t.val[2]*scale), - saturate_cast<_Tp>(this->val[3]*t.val[3]*scale)); -} - -template static inline bool operator == ( const Scalar_<_Tp>& a, const Scalar_<_Tp>& b ) -{ - return a.val[0] == b.val[0] && a.val[1] == b.val[1] && - a.val[2] == b.val[2] && a.val[3] == b.val[3]; -} - -template static inline bool operator != ( const Scalar_<_Tp>& a, const Scalar_<_Tp>& b ) -{ - return a.val[0] != b.val[0] || a.val[1] != b.val[1] || - a.val[2] != b.val[2] || a.val[3] != b.val[3]; -} - -template static inline Scalar_<_Tp> operator + (const Scalar_<_Tp>& a, const Scalar_<_Tp>& b) -{ - return Scalar_<_Tp>(saturate_cast<_Tp>(a.val[0] + b.val[0]), - saturate_cast<_Tp>(a.val[1] + b.val[1]), - saturate_cast<_Tp>(a.val[2] + b.val[2]), - saturate_cast<_Tp>(a.val[3] + b.val[3])); -} - -template static inline Scalar_<_Tp> operator - (const Scalar_<_Tp>& a, const Scalar_<_Tp>& b) -{ - return Scalar_<_Tp>(saturate_cast<_Tp>(a.val[0] - b.val[0]), - saturate_cast<_Tp>(a.val[1] - b.val[1]), - saturate_cast<_Tp>(a.val[2] - b.val[2]), - saturate_cast<_Tp>(a.val[3] - b.val[3])); -} - -template static inline Scalar_<_Tp> operator * (const Scalar_<_Tp>& a, _Tp alpha) -{ - return Scalar_<_Tp>(saturate_cast<_Tp>(a.val[0] * alpha), - saturate_cast<_Tp>(a.val[1] * alpha), - saturate_cast<_Tp>(a.val[2] * alpha), - saturate_cast<_Tp>(a.val[3] * alpha)); -} - -template static inline Scalar_<_Tp> operator * (_Tp alpha, const Scalar_<_Tp>& a) -{ - return a*alpha; -} - -template static inline Scalar_<_Tp> operator - (const Scalar_<_Tp>& a) -{ - return Scalar_<_Tp>(saturate_cast<_Tp>(-a.val[0]), saturate_cast<_Tp>(-a.val[1]), - saturate_cast<_Tp>(-a.val[2]), saturate_cast<_Tp>(-a.val[3])); -} - - -template static inline Scalar_<_Tp> -operator * (const Scalar_<_Tp>& a, const Scalar_<_Tp>& b) -{ - return Scalar_<_Tp>(saturate_cast<_Tp>(a[0]*b[0] - a[1]*b[1] - a[2]*b[2] - a[3]*b[3]), - saturate_cast<_Tp>(a[0]*b[1] + a[1]*b[0] + a[2]*b[3] - a[3]*b[2]), - saturate_cast<_Tp>(a[0]*b[2] - a[1]*b[3] + a[2]*b[0] + a[3]*b[1]), - saturate_cast<_Tp>(a[0]*b[3] + a[1]*b[2] - a[2]*b[1] + a[3]*b[0])); -} - -template static inline Scalar_<_Tp>& -operator *= (Scalar_<_Tp>& a, const Scalar_<_Tp>& b) -{ - a = a*b; - return a; -} - -template inline Scalar_<_Tp> Scalar_<_Tp>::conj() const -{ - return Scalar_<_Tp>(saturate_cast<_Tp>(this->val[0]), - saturate_cast<_Tp>(-this->val[1]), - saturate_cast<_Tp>(-this->val[2]), - saturate_cast<_Tp>(-this->val[3])); -} - -template inline bool Scalar_<_Tp>::isReal() const -{ - return this->val[1] == 0 && this->val[2] == 0 && this->val[3] == 0; -} - -template static inline -Scalar_<_Tp> operator / (const Scalar_<_Tp>& a, _Tp alpha) -{ - return Scalar_<_Tp>(saturate_cast<_Tp>(a.val[0] / alpha), - saturate_cast<_Tp>(a.val[1] / alpha), - saturate_cast<_Tp>(a.val[2] / alpha), - saturate_cast<_Tp>(a.val[3] / alpha)); -} - -template static inline -Scalar_ operator / (const Scalar_& a, float alpha) -{ - float s = 1/alpha; - return Scalar_(a.val[0]*s, a.val[1]*s, a.val[2]*s, a.val[3]*s); -} - -template static inline -Scalar_ operator / (const Scalar_& a, double alpha) -{ - double s = 1/alpha; - return Scalar_(a.val[0]*s, a.val[1]*s, a.val[2]*s, a.val[3]*s); -} - -template static inline -Scalar_<_Tp>& operator /= (Scalar_<_Tp>& a, _Tp alpha) -{ - a = a/alpha; - return a; -} - -template static inline -Scalar_<_Tp> operator / (_Tp a, const Scalar_<_Tp>& b) -{ - _Tp s = a/(b[0]*b[0] + b[1]*b[1] + b[2]*b[2] + b[3]*b[3]); - return b.conj()*s; -} - -template static inline -Scalar_<_Tp> operator / (const Scalar_<_Tp>& a, const Scalar_<_Tp>& b) -{ - return a*((_Tp)1/b); -} - -template static inline -Scalar_<_Tp>& operator /= (Scalar_<_Tp>& a, const Scalar_<_Tp>& b) -{ - a = a/b; - return a; -} - -//////////////////////////////// Range ///////////////////////////////// - -inline Range::Range() : start(0), end(0) {} -inline Range::Range(int _start, int _end) : start(_start), end(_end) {} -inline Range::Range(const CvSlice& slice) : start(slice.start_index), end(slice.end_index) -{ - if( start == 0 && end == CV_WHOLE_SEQ_END_INDEX ) - *this = Range::all(); -} - -inline int Range::size() const { return end - start; } -inline bool Range::empty() const { return start == end; } -inline Range Range::all() { return Range(INT_MIN, INT_MAX); } - -static inline bool operator == (const Range& r1, const Range& r2) -{ return r1.start == r2.start && r1.end == r2.end; } - -static inline bool operator != (const Range& r1, const Range& r2) -{ return !(r1 == r2); } - -static inline bool operator !(const Range& r) -{ return r.start == r.end; } - -static inline Range operator & (const Range& r1, const Range& r2) -{ - Range r(std::max(r1.start, r2.start), std::min(r1.end, r2.end)); - r.end = std::max(r.end, r.start); - return r; -} - -static inline Range& operator &= (Range& r1, const Range& r2) -{ - r1 = r1 & r2; - return r1; -} - -static inline Range operator + (const Range& r1, int delta) -{ - return Range(r1.start + delta, r1.end + delta); -} - -static inline Range operator + (int delta, const Range& r1) -{ - return Range(r1.start + delta, r1.end + delta); -} - -static inline Range operator - (const Range& r1, int delta) -{ - return r1 + (-delta); -} - -inline Range::operator CvSlice() const -{ return *this != Range::all() ? cvSlice(start, end) : CV_WHOLE_SEQ; } - - - -//////////////////////////////// Vector //////////////////////////////// - -// template vector class. It is similar to STL's vector, -// with a few important differences: -// 1) it can be created on top of user-allocated data w/o copying it -// 2) vector b = a means copying the header, -// not the underlying data (use clone() to make a deep copy) -template class Vector -{ -public: - typedef _Tp value_type; - typedef _Tp* iterator; - typedef const _Tp* const_iterator; - typedef _Tp& reference; - typedef const _Tp& const_reference; - - struct Hdr - { - Hdr() : data(0), datastart(0), refcount(0), size(0), capacity(0) {}; - _Tp* data; - _Tp* datastart; - int* refcount; - size_t size; - size_t capacity; - }; - - Vector() {} - Vector(size_t _size) { resize(_size); } - Vector(size_t _size, const _Tp& val) - { - resize(_size); - for(size_t i = 0; i < _size; i++) - hdr.data[i] = val; - } - Vector(_Tp* _data, size_t _size, bool _copyData=false) - { set(_data, _size, _copyData); } - - template Vector(const Vec<_Tp, n>& vec) - { set((_Tp*)&vec.val[0], n, true); } - - Vector(const std::vector<_Tp>& vec, bool _copyData=false) - { set(!vec.empty() ? (_Tp*)&vec[0] : 0, vec.size(), _copyData); } - - Vector(const Vector& d) { *this = d; } - - Vector(const Vector& d, const Range& r_) - { - Range r = r_ == Range::all() ? Range(0, d.size()) : r_; - /*if( r == Range::all() ) - r = Range(0, d.size());*/ - if( r.size() > 0 && r.start >= 0 && r.end <= d.size() ) - { - if( d.hdr.refcount ) - CV_XADD(d.hdr.refcount, 1); - hdr.refcount = d.hdr.refcount; - hdr.datastart = d.hdr.datastart; - hdr.data = d.hdr.data + r.start; - hdr.capacity = hdr.size = r.size(); - } - } - - Vector<_Tp>& operator = (const Vector& d) - { - if( this != &d ) - { - if( d.hdr.refcount ) - CV_XADD(d.hdr.refcount, 1); - release(); - hdr = d.hdr; - } - return *this; - } - - ~Vector() { release(); } - - Vector<_Tp> clone() const - { return hdr.data ? Vector<_Tp>(hdr.data, hdr.size, true) : Vector<_Tp>(); } - - void copyTo(Vector<_Tp>& vec) const - { - size_t i, sz = size(); - vec.resize(sz); - const _Tp* src = hdr.data; - _Tp* dst = vec.hdr.data; - for( i = 0; i < sz; i++ ) - dst[i] = src[i]; - } - - void copyTo(std::vector<_Tp>& vec) const - { - size_t i, sz = size(); - vec.resize(sz); - const _Tp* src = hdr.data; - _Tp* dst = sz ? &vec[0] : 0; - for( i = 0; i < sz; i++ ) - dst[i] = src[i]; - } - - operator CvMat() const - { return cvMat((int)size(), 1, type(), (void*)hdr.data); } - - _Tp& operator [] (size_t i) { CV_DbgAssert( i < size() ); return hdr.data[i]; } - const _Tp& operator [] (size_t i) const { CV_DbgAssert( i < size() ); return hdr.data[i]; } - Vector operator() (const Range& r) const { return Vector(*this, r); } - _Tp& back() { CV_DbgAssert(!empty()); return hdr.data[hdr.size-1]; } - const _Tp& back() const { CV_DbgAssert(!empty()); return hdr.data[hdr.size-1]; } - _Tp& front() { CV_DbgAssert(!empty()); return hdr.data[0]; } - const _Tp& front() const { CV_DbgAssert(!empty()); return hdr.data[0]; } - - _Tp* begin() { return hdr.data; } - _Tp* end() { return hdr.data + hdr.size; } - const _Tp* begin() const { return hdr.data; } - const _Tp* end() const { return hdr.data + hdr.size; } - - void addref() { if( hdr.refcount ) CV_XADD(hdr.refcount, 1); } - void release() - { - if( hdr.refcount && CV_XADD(hdr.refcount, -1) == 1 ) - { - delete[] hdr.datastart; - delete hdr.refcount; - } - hdr = Hdr(); - } - - void set(_Tp* _data, size_t _size, bool _copyData=false) - { - if( !_copyData ) - { - release(); - hdr.data = hdr.datastart = _data; - hdr.size = hdr.capacity = _size; - hdr.refcount = 0; - } - else - { - reserve(_size); - for( size_t i = 0; i < _size; i++ ) - hdr.data[i] = _data[i]; - hdr.size = _size; - } - } - - void reserve(size_t newCapacity) - { - _Tp* newData; - int* newRefcount; - size_t i, oldSize = hdr.size; - if( (!hdr.refcount || *hdr.refcount == 1) && hdr.capacity >= newCapacity ) - return; - newCapacity = std::max(newCapacity, oldSize); - newData = new _Tp[newCapacity]; - newRefcount = new int(1); - for( i = 0; i < oldSize; i++ ) - newData[i] = hdr.data[i]; - release(); - hdr.data = hdr.datastart = newData; - hdr.capacity = newCapacity; - hdr.size = oldSize; - hdr.refcount = newRefcount; - } - - void resize(size_t newSize) - { - size_t i; - newSize = std::max(newSize, (size_t)0); - if( (!hdr.refcount || *hdr.refcount == 1) && hdr.size == newSize ) - return; - if( newSize > hdr.capacity ) - reserve(std::max(newSize, std::max((size_t)4, hdr.capacity*2))); - for( i = hdr.size; i < newSize; i++ ) - hdr.data[i] = _Tp(); - hdr.size = newSize; - } - - Vector<_Tp>& push_back(const _Tp& elem) - { - if( hdr.size == hdr.capacity ) - reserve( std::max((size_t)4, hdr.capacity*2) ); - hdr.data[hdr.size++] = elem; - return *this; - } - - Vector<_Tp>& pop_back() - { - if( hdr.size > 0 ) - --hdr.size; - return *this; - } - - size_t size() const { return hdr.size; } - size_t capacity() const { return hdr.capacity; } - bool empty() const { return hdr.size == 0; } - void clear() { resize(0); } - int type() const { return DataType<_Tp>::type; } - -protected: - Hdr hdr; -}; - - -template inline typename DataType<_Tp>::work_type -dot(const Vector<_Tp>& v1, const Vector<_Tp>& v2) -{ - typedef typename DataType<_Tp>::work_type _Tw; - size_t i = 0, n = v1.size(); - assert(v1.size() == v2.size()); - - _Tw s = 0; - const _Tp *ptr1 = &v1[0], *ptr2 = &v2[0]; - for( ; i < n; i++ ) - s += (_Tw)ptr1[i]*ptr2[i]; - - return s; -} - -// Multiply-with-Carry RNG -inline RNG::RNG() { state = 0xffffffff; } -inline RNG::RNG(uint64 _state) { state = _state ? _state : 0xffffffff; } -inline unsigned RNG::next() -{ - state = (uint64)(unsigned)state*CV_RNG_COEFF + (unsigned)(state >> 32); - return (unsigned)state; -} - -inline RNG::operator uchar() { return (uchar)next(); } -inline RNG::operator schar() { return (schar)next(); } -inline RNG::operator ushort() { return (ushort)next(); } -inline RNG::operator short() { return (short)next(); } -inline RNG::operator unsigned() { return next(); } -inline unsigned RNG::operator ()(unsigned N) {return (unsigned)uniform(0,N);} -inline unsigned RNG::operator ()() {return next();} -inline RNG::operator int() { return (int)next(); } -// * (2^32-1)^-1 -inline RNG::operator float() { return next()*2.3283064365386962890625e-10f; } -inline RNG::operator double() -{ - unsigned t = next(); - return (((uint64)t << 32) | next())*5.4210108624275221700372640043497e-20; -} -inline int RNG::uniform(int a, int b) { return a == b ? a : (int)(next()%(b - a) + a); } -inline float RNG::uniform(float a, float b) { return ((float)*this)*(b - a) + a; } -inline double RNG::uniform(double a, double b) { return ((double)*this)*(b - a) + a; } - -inline TermCriteria::TermCriteria() : type(0), maxCount(0), epsilon(0) {} -inline TermCriteria::TermCriteria(int _type, int _maxCount, double _epsilon) - : type(_type), maxCount(_maxCount), epsilon(_epsilon) {} -inline TermCriteria::TermCriteria(const CvTermCriteria& criteria) - : type(criteria.type), maxCount(criteria.max_iter), epsilon(criteria.epsilon) {} -inline TermCriteria::operator CvTermCriteria() const -{ return cvTermCriteria(type, maxCount, epsilon); } - -inline uchar* LineIterator::operator *() { return ptr; } -inline LineIterator& LineIterator::operator ++() -{ - int mask = err < 0 ? -1 : 0; - err += minusDelta + (plusDelta & mask); - ptr += minusStep + (plusStep & mask); - return *this; -} -inline LineIterator LineIterator::operator ++(int) -{ - LineIterator it = *this; - ++(*this); - return it; -} -inline Point LineIterator::pos() const -{ - Point p; - p.y = (int)((ptr - ptr0)/step); - p.x = (int)(((ptr - ptr0) - p.y*step)/elemSize); - return p; -} - -/////////////////////////////// AutoBuffer //////////////////////////////////////// - -template inline AutoBuffer<_Tp, fixed_size>::AutoBuffer() -{ - ptr = buf; - size = fixed_size; -} - -template inline AutoBuffer<_Tp, fixed_size>::AutoBuffer(size_t _size) -{ - ptr = buf; - size = fixed_size; - allocate(_size); -} - -template inline AutoBuffer<_Tp, fixed_size>::~AutoBuffer() -{ deallocate(); } - -template inline void AutoBuffer<_Tp, fixed_size>::allocate(size_t _size) -{ - if(_size <= size) - return; - deallocate(); - size = _size; - if(_size > fixed_size) - { - ptr = cv::allocate<_Tp>(_size); - } -} - -template inline void AutoBuffer<_Tp, fixed_size>::deallocate() -{ - if( ptr != buf ) - { - cv::deallocate<_Tp>(ptr, size); - ptr = buf; - size = fixed_size; - } -} - -template inline AutoBuffer<_Tp, fixed_size>::operator _Tp* () -{ return ptr; } - -template inline AutoBuffer<_Tp, fixed_size>::operator const _Tp* () const -{ return ptr; } - -template inline size_t AutoBuffer<_Tp, fixed_size>::getSize() const -{ return size; } - - -/////////////////////////////////// Ptr //////////////////////////////////////// - -template inline Ptr<_Tp>::Ptr() : obj(0), refcount(0) {} -template inline Ptr<_Tp>::Ptr(_Tp* _obj) : obj(_obj) -{ - if(obj) - { - refcount = (int*)fastMalloc(sizeof(*refcount)); - *refcount = 1; - } - else - refcount = 0; -} - -template inline void Ptr<_Tp>::addref() -{ if( refcount ) CV_XADD(refcount, 1); } - -template inline void Ptr<_Tp>::release() -{ - if( refcount && CV_XADD(refcount, -1) == 1 ) - { - delete_obj(); - fastFree(refcount); - } - refcount = 0; - obj = 0; -} - -template inline void Ptr<_Tp>::delete_obj() -{ - if( obj ) delete obj; -} - -template inline Ptr<_Tp>::~Ptr() { release(); } - -template inline Ptr<_Tp>::Ptr(const Ptr<_Tp>& _ptr) -{ - obj = _ptr.obj; - refcount = _ptr.refcount; - addref(); -} - -template inline Ptr<_Tp>& Ptr<_Tp>::operator = (const Ptr<_Tp>& _ptr) -{ - if (this != &_ptr) - { - int* _refcount = _ptr.refcount; - if( _refcount ) - CV_XADD(_refcount, 1); - release(); - obj = _ptr.obj; - refcount = _refcount; - } - return *this; -} - -template inline _Tp* Ptr<_Tp>::operator -> () { return obj; } -template inline const _Tp* Ptr<_Tp>::operator -> () const { return obj; } - -template inline Ptr<_Tp>::operator _Tp* () { return obj; } -template inline Ptr<_Tp>::operator const _Tp*() const { return obj; } - -template inline bool Ptr<_Tp>::empty() const { return obj == 0; } - -template template Ptr<_Tp>::Ptr(const Ptr<_Tp2>& p) - : obj(0), refcount(0) -{ - if (p.empty()) - return; - - _Tp* p_casted = dynamic_cast<_Tp*>(p.obj); - if (!p_casted) - return; - - obj = p_casted; - refcount = p.refcount; - addref(); -} - -template template inline Ptr<_Tp2> Ptr<_Tp>::ptr() -{ - Ptr<_Tp2> p; - if( !obj ) - return p; - - _Tp2* obj_casted = dynamic_cast<_Tp2*>(obj); - if (!obj_casted) - return p; - - if( refcount ) - CV_XADD(refcount, 1); - - p.obj = obj_casted; - p.refcount = refcount; - return p; -} - -template template inline const Ptr<_Tp2> Ptr<_Tp>::ptr() const -{ - Ptr<_Tp2> p; - if( !obj ) - return p; - - _Tp2* obj_casted = dynamic_cast<_Tp2*>(obj); - if (!obj_casted) - return p; - - if( refcount ) - CV_XADD(refcount, 1); - - p.obj = obj_casted; - p.refcount = refcount; - return p; -} - -template -Ptr makePtr() -{ - return Ptr(new T()); -} - -template -Ptr makePtr(const A1& a1) -{ - return Ptr(new T(a1)); -} - -template -Ptr makePtr(const A1& a1, const A2& a2) -{ - return Ptr(new T(a1, a2)); -} - -template -Ptr makePtr(const A1& a1, const A2& a2, const A3& a3) -{ - return Ptr(new T(a1, a2, a3)); -} - -template -Ptr makePtr(const A1& a1, const A2& a2, const A3& a3, const A4& a4) -{ - return Ptr(new T(a1, a2, a3, a4)); -} - -template -Ptr makePtr(const A1& a1, const A2& a2, const A3& a3, const A4& a4, const A5& a5) -{ - return Ptr(new T(a1, a2, a3, a4, a5)); -} - -template -Ptr makePtr(const A1& a1, const A2& a2, const A3& a3, const A4& a4, const A5& a5, const A6& a6) -{ - return Ptr(new T(a1, a2, a3, a4, a5, a6)); -} - -template -Ptr makePtr(const A1& a1, const A2& a2, const A3& a3, const A4& a4, const A5& a5, const A6& a6, const A7& a7) -{ - return Ptr(new T(a1, a2, a3, a4, a5, a6, a7)); -} - -template -Ptr makePtr(const A1& a1, const A2& a2, const A3& a3, const A4& a4, const A5& a5, const A6& a6, const A7& a7, const A8& a8) -{ - return Ptr(new T(a1, a2, a3, a4, a5, a6, a7, a8)); -} - -template -Ptr makePtr(const A1& a1, const A2& a2, const A3& a3, const A4& a4, const A5& a5, const A6& a6, const A7& a7, const A8& a8, const A9& a9) -{ - return Ptr(new T(a1, a2, a3, a4, a5, a6, a7, a8, a9)); -} - -template -Ptr makePtr(const A1& a1, const A2& a2, const A3& a3, const A4& a4, const A5& a5, const A6& a6, const A7& a7, const A8& a8, const A9& a9, const A10& a10) -{ - return Ptr(new T(a1, a2, a3, a4, a5, a6, a7, a8, a9, a10)); -} - -//// specializied implementations of Ptr::delete_obj() for classic OpenCV types - -template<> CV_EXPORTS void Ptr::delete_obj(); -template<> CV_EXPORTS void Ptr::delete_obj(); -template<> CV_EXPORTS void Ptr::delete_obj(); -template<> CV_EXPORTS void Ptr::delete_obj(); -template<> CV_EXPORTS void Ptr::delete_obj(); -template<> CV_EXPORTS void Ptr::delete_obj(); - -//////////////////////////////////////// XML & YAML I/O //////////////////////////////////// - -CV_EXPORTS_W void write( FileStorage& fs, const string& name, int value ); -CV_EXPORTS_W void write( FileStorage& fs, const string& name, float value ); -CV_EXPORTS_W void write( FileStorage& fs, const string& name, double value ); -CV_EXPORTS_W void write( FileStorage& fs, const string& name, const string& value ); - -template inline void write(FileStorage& fs, const _Tp& value) -{ write(fs, string(), value); } - -CV_EXPORTS void writeScalar( FileStorage& fs, int value ); -CV_EXPORTS void writeScalar( FileStorage& fs, float value ); -CV_EXPORTS void writeScalar( FileStorage& fs, double value ); -CV_EXPORTS void writeScalar( FileStorage& fs, const string& value ); - -template<> inline void write( FileStorage& fs, const int& value ) -{ - writeScalar(fs, value); -} - -template<> inline void write( FileStorage& fs, const float& value ) -{ - writeScalar(fs, value); -} - -template<> inline void write( FileStorage& fs, const double& value ) -{ - writeScalar(fs, value); -} - -template<> inline void write( FileStorage& fs, const string& value ) -{ - writeScalar(fs, value); -} - -template inline void write(FileStorage& fs, const Point_<_Tp>& pt ) -{ - write(fs, pt.x); - write(fs, pt.y); -} - -template inline void write(FileStorage& fs, const Point3_<_Tp>& pt ) -{ - write(fs, pt.x); - write(fs, pt.y); - write(fs, pt.z); -} - -template inline void write(FileStorage& fs, const Size_<_Tp>& sz ) -{ - write(fs, sz.width); - write(fs, sz.height); -} - -template inline void write(FileStorage& fs, const Complex<_Tp>& c ) -{ - write(fs, c.re); - write(fs, c.im); -} - -template inline void write(FileStorage& fs, const Rect_<_Tp>& r ) -{ - write(fs, r.x); - write(fs, r.y); - write(fs, r.width); - write(fs, r.height); -} - -template inline void write(FileStorage& fs, const Vec<_Tp, cn>& v ) -{ - for(int i = 0; i < cn; i++) - write(fs, v.val[i]); -} - -template inline void write(FileStorage& fs, const Scalar_<_Tp>& s ) -{ - write(fs, s.val[0]); - write(fs, s.val[1]); - write(fs, s.val[2]); - write(fs, s.val[3]); -} - -inline void write(FileStorage& fs, const Range& r ) -{ - write(fs, r.start); - write(fs, r.end); -} - -class CV_EXPORTS WriteStructContext -{ -public: - WriteStructContext(FileStorage& _fs, const string& name, - int flags, const string& typeName=string()); - ~WriteStructContext(); - FileStorage* fs; -}; - -template inline void write(FileStorage& fs, const string& name, const Point_<_Tp>& pt ) -{ - WriteStructContext ws(fs, name, CV_NODE_SEQ+CV_NODE_FLOW); - write(fs, pt.x); - write(fs, pt.y); -} - -template inline void write(FileStorage& fs, const string& name, const Point3_<_Tp>& pt ) -{ - WriteStructContext ws(fs, name, CV_NODE_SEQ+CV_NODE_FLOW); - write(fs, pt.x); - write(fs, pt.y); - write(fs, pt.z); -} - -template inline void write(FileStorage& fs, const string& name, const Size_<_Tp>& sz ) -{ - WriteStructContext ws(fs, name, CV_NODE_SEQ+CV_NODE_FLOW); - write(fs, sz.width); - write(fs, sz.height); -} - -template inline void write(FileStorage& fs, const string& name, const Complex<_Tp>& c ) -{ - WriteStructContext ws(fs, name, CV_NODE_SEQ+CV_NODE_FLOW); - write(fs, c.re); - write(fs, c.im); -} - -template inline void write(FileStorage& fs, const string& name, const Rect_<_Tp>& r ) -{ - WriteStructContext ws(fs, name, CV_NODE_SEQ+CV_NODE_FLOW); - write(fs, r.x); - write(fs, r.y); - write(fs, r.width); - write(fs, r.height); -} - -template inline void write(FileStorage& fs, const string& name, const Vec<_Tp, cn>& v ) -{ - WriteStructContext ws(fs, name, CV_NODE_SEQ+CV_NODE_FLOW); - for(int i = 0; i < cn; i++) - write(fs, v.val[i]); -} - -template inline void write(FileStorage& fs, const string& name, const Scalar_<_Tp>& s ) -{ - WriteStructContext ws(fs, name, CV_NODE_SEQ+CV_NODE_FLOW); - write(fs, s.val[0]); - write(fs, s.val[1]); - write(fs, s.val[2]); - write(fs, s.val[3]); -} - -inline void write(FileStorage& fs, const string& name, const Range& r ) -{ - WriteStructContext ws(fs, name, CV_NODE_SEQ+CV_NODE_FLOW); - write(fs, r.start); - write(fs, r.end); -} - -template class VecWriterProxy -{ -public: - VecWriterProxy( FileStorage* _fs ) : fs(_fs) {} - void operator()(const vector<_Tp>& vec) const - { - size_t i, count = vec.size(); - for( i = 0; i < count; i++ ) - write( *fs, vec[i] ); - } - FileStorage* fs; -}; - -template class VecWriterProxy<_Tp,1> -{ -public: - VecWriterProxy( FileStorage* _fs ) : fs(_fs) {} - void operator()(const vector<_Tp>& vec) const - { - int _fmt = DataType<_Tp>::fmt; - char fmt[] = { (char)((_fmt>>8)+'1'), (char)_fmt, '\0' }; - fs->writeRaw( string(fmt), !vec.empty() ? (uchar*)&vec[0] : 0, vec.size()*sizeof(_Tp) ); - } - FileStorage* fs; -}; - -template static inline void write( FileStorage& fs, const vector<_Tp>& vec ) -{ - VecWriterProxy<_Tp, DataType<_Tp>::fmt != 0> w(&fs); - w(vec); -} - -template static inline void write( FileStorage& fs, const string& name, - const vector<_Tp>& vec ) -{ - WriteStructContext ws(fs, name, CV_NODE_SEQ+(DataType<_Tp>::fmt != 0 ? CV_NODE_FLOW : 0)); - write(fs, vec); -} - -CV_EXPORTS_W void write( FileStorage& fs, const string& name, const Mat& value ); -CV_EXPORTS void write( FileStorage& fs, const string& name, const SparseMat& value ); - -template static inline FileStorage& operator << (FileStorage& fs, const _Tp& value) -{ - if( !fs.isOpened() ) - return fs; - if( fs.state == FileStorage::NAME_EXPECTED + FileStorage::INSIDE_MAP ) - CV_Error( CV_StsError, "No element name has been given" ); - write( fs, fs.elname, value ); - if( fs.state & FileStorage::INSIDE_MAP ) - fs.state = FileStorage::NAME_EXPECTED + FileStorage::INSIDE_MAP; - return fs; -} - -CV_EXPORTS FileStorage& operator << (FileStorage& fs, const string& str); - -static inline FileStorage& operator << (FileStorage& fs, const char* str) -{ return (fs << string(str)); } - -static inline FileStorage& operator << (FileStorage& fs, char* value) -{ return (fs << string(value)); } - -inline FileNode::FileNode() : fs(0), node(0) {} -inline FileNode::FileNode(const CvFileStorage* _fs, const CvFileNode* _node) - : fs(_fs), node(_node) {} - -inline FileNode::FileNode(const FileNode& _node) : fs(_node.fs), node(_node.node) {} - -inline int FileNode::type() const { return !node ? NONE : (node->tag & TYPE_MASK); } -inline bool FileNode::empty() const { return node == 0; } -inline bool FileNode::isNone() const { return type() == NONE; } -inline bool FileNode::isSeq() const { return type() == SEQ; } -inline bool FileNode::isMap() const { return type() == MAP; } -inline bool FileNode::isInt() const { return type() == INT; } -inline bool FileNode::isReal() const { return type() == REAL; } -inline bool FileNode::isString() const { return type() == STR; } -inline bool FileNode::isNamed() const { return !node ? false : (node->tag & NAMED) != 0; } -inline size_t FileNode::size() const -{ - int t = type(); - return t == MAP ? (size_t)((CvSet*)node->data.map)->active_count : - t == SEQ ? (size_t)node->data.seq->total : (size_t)!isNone(); -} - -inline CvFileNode* FileNode::operator *() { return (CvFileNode*)node; } -inline const CvFileNode* FileNode::operator* () const { return node; } - -static inline void read(const FileNode& node, int& value, int default_value) -{ - value = !node.node ? default_value : - CV_NODE_IS_INT(node.node->tag) ? node.node->data.i : - CV_NODE_IS_REAL(node.node->tag) ? cvRound(node.node->data.f) : 0x7fffffff; -} - -static inline void read(const FileNode& node, bool& value, bool default_value) -{ - int temp; read(node, temp, (int)default_value); - value = temp != 0; -} - -static inline void read(const FileNode& node, uchar& value, uchar default_value) -{ - int temp; read(node, temp, (int)default_value); - value = saturate_cast(temp); -} - -static inline void read(const FileNode& node, schar& value, schar default_value) -{ - int temp; read(node, temp, (int)default_value); - value = saturate_cast(temp); -} - -static inline void read(const FileNode& node, ushort& value, ushort default_value) -{ - int temp; read(node, temp, (int)default_value); - value = saturate_cast(temp); -} - -static inline void read(const FileNode& node, short& value, short default_value) -{ - int temp; read(node, temp, (int)default_value); - value = saturate_cast(temp); -} - -static inline void read(const FileNode& node, float& value, float default_value) -{ - value = !node.node ? default_value : - CV_NODE_IS_INT(node.node->tag) ? (float)node.node->data.i : - CV_NODE_IS_REAL(node.node->tag) ? (float)node.node->data.f : 1e30f; -} - -static inline void read(const FileNode& node, double& value, double default_value) -{ - value = !node.node ? default_value : - CV_NODE_IS_INT(node.node->tag) ? (double)node.node->data.i : - CV_NODE_IS_REAL(node.node->tag) ? node.node->data.f : 1e300; -} - -static inline void read(const FileNode& node, string& value, const string& default_value) -{ - value = !node.node ? default_value : CV_NODE_IS_STRING(node.node->tag) ? string(node.node->data.str.ptr) : string(""); -} - -template static inline void read(const FileNode& node, Point_<_Tp>& value, const Point_<_Tp>& default_value) -{ - vector<_Tp> temp; FileNodeIterator it = node.begin(); it >> temp; - value = temp.size() != 2 ? default_value : Point_<_Tp>(saturate_cast<_Tp>(temp[0]), saturate_cast<_Tp>(temp[1])); -} - -template static inline void read(const FileNode& node, Point3_<_Tp>& value, const Point3_<_Tp>& default_value) -{ - vector<_Tp> temp; FileNodeIterator it = node.begin(); it >> temp; - value = temp.size() != 3 ? default_value : Point3_<_Tp>(saturate_cast<_Tp>(temp[0]), saturate_cast<_Tp>(temp[1]), - saturate_cast<_Tp>(temp[2])); -} - -template static inline void read(const FileNode& node, Size_<_Tp>& value, const Size_<_Tp>& default_value) -{ - vector<_Tp> temp; FileNodeIterator it = node.begin(); it >> temp; - value = temp.size() != 2 ? default_value : Size_<_Tp>(saturate_cast<_Tp>(temp[0]), saturate_cast<_Tp>(temp[1])); -} - -template static inline void read(const FileNode& node, Complex<_Tp>& value, const Complex<_Tp>& default_value) -{ - vector<_Tp> temp; FileNodeIterator it = node.begin(); it >> temp; - value = temp.size() != 2 ? default_value : Complex<_Tp>(saturate_cast<_Tp>(temp[0]), saturate_cast<_Tp>(temp[1])); -} - -template static inline void read(const FileNode& node, Rect_<_Tp>& value, const Rect_<_Tp>& default_value) -{ - vector<_Tp> temp; FileNodeIterator it = node.begin(); it >> temp; - value = temp.size() != 4 ? default_value : Rect_<_Tp>(saturate_cast<_Tp>(temp[0]), saturate_cast<_Tp>(temp[1]), - saturate_cast<_Tp>(temp[2]), saturate_cast<_Tp>(temp[3])); -} - -template static inline void read(const FileNode& node, Vec<_Tp, cn>& value, const Vec<_Tp, cn>& default_value) -{ - vector<_Tp> temp; FileNodeIterator it = node.begin(); it >> temp; - value = temp.size() != cn ? default_value : Vec<_Tp, cn>(&temp[0]); -} - -template static inline void read(const FileNode& node, Scalar_<_Tp>& value, const Scalar_<_Tp>& default_value) -{ - vector<_Tp> temp; FileNodeIterator it = node.begin(); it >> temp; - value = temp.size() != 4 ? default_value : Scalar_<_Tp>(saturate_cast<_Tp>(temp[0]), saturate_cast<_Tp>(temp[1]), - saturate_cast<_Tp>(temp[2]), saturate_cast<_Tp>(temp[3])); -} - -static inline void read(const FileNode& node, Range& value, const Range& default_value) -{ - Point2i temp(value.start, value.end); const Point2i default_temp = Point2i(default_value.start, default_value.end); - read(node, temp, default_temp); - value.start = temp.x; value.end = temp.y; -} - -CV_EXPORTS_W void read(const FileNode& node, Mat& mat, const Mat& default_mat=Mat() ); -CV_EXPORTS void read(const FileNode& node, SparseMat& mat, const SparseMat& default_mat=SparseMat() ); - -inline FileNode::operator int() const -{ - int value; - read(*this, value, 0); - return value; -} -inline FileNode::operator float() const -{ - float value; - read(*this, value, 0.f); - return value; -} -inline FileNode::operator double() const -{ - double value; - read(*this, value, 0.); - return value; -} -inline FileNode::operator string() const -{ - string value; - read(*this, value, value); - return value; -} - -inline void FileNode::readRaw( const string& fmt, uchar* vec, size_t len ) const -{ - begin().readRaw( fmt, vec, len ); -} - -template class VecReaderProxy -{ -public: - VecReaderProxy( FileNodeIterator* _it ) : it(_it) {} - void operator()(vector<_Tp>& vec, size_t count) const - { - count = std::min(count, it->remaining); - vec.resize(count); - for( size_t i = 0; i < count; i++, ++(*it) ) - read(**it, vec[i], _Tp()); - } - FileNodeIterator* it; -}; - -template class VecReaderProxy<_Tp,1> -{ -public: - VecReaderProxy( FileNodeIterator* _it ) : it(_it) {} - void operator()(vector<_Tp>& vec, size_t count) const - { - size_t remaining = it->remaining, cn = DataType<_Tp>::channels; - int _fmt = DataType<_Tp>::fmt; - char fmt[] = { (char)((_fmt>>8)+'1'), (char)_fmt, '\0' }; - size_t remaining1 = remaining/cn; - count = count < remaining1 ? count : remaining1; - vec.resize(count); - it->readRaw( string(fmt), !vec.empty() ? (uchar*)&vec[0] : 0, count*sizeof(_Tp) ); - } - FileNodeIterator* it; -}; - -template static inline void -read( FileNodeIterator& it, vector<_Tp>& vec, size_t maxCount=(size_t)INT_MAX ) -{ - VecReaderProxy<_Tp, DataType<_Tp>::fmt != 0> r(&it); - r(vec, maxCount); -} - -template static inline void -read( const FileNode& node, vector<_Tp>& vec, const vector<_Tp>& default_value=vector<_Tp>() ) -{ - if(!node.node) - vec = default_value; - else - { - FileNodeIterator it = node.begin(); - read( it, vec ); - } -} - -inline FileNodeIterator FileNode::begin() const -{ - return FileNodeIterator(fs, node); -} - -inline FileNodeIterator FileNode::end() const -{ - return FileNodeIterator(fs, node, size()); -} - -inline FileNode FileNodeIterator::operator *() const -{ return FileNode(fs, (const CvFileNode*)(void*)reader.ptr); } - -inline FileNode FileNodeIterator::operator ->() const -{ return FileNode(fs, (const CvFileNode*)(void*)reader.ptr); } - -template static inline FileNodeIterator& operator >> (FileNodeIterator& it, _Tp& value) -{ read( *it, value, _Tp()); return ++it; } - -template static inline -FileNodeIterator& operator >> (FileNodeIterator& it, vector<_Tp>& vec) -{ - VecReaderProxy<_Tp, DataType<_Tp>::fmt != 0> r(&it); - r(vec, (size_t)INT_MAX); - return it; -} - -template static inline void operator >> (const FileNode& n, _Tp& value) -{ read( n, value, _Tp()); } - -template static inline void operator >> (const FileNode& n, vector<_Tp>& vec) -{ FileNodeIterator it = n.begin(); it >> vec; } - -static inline bool operator == (const FileNodeIterator& it1, const FileNodeIterator& it2) -{ - return it1.fs == it2.fs && it1.container == it2.container && - it1.reader.ptr == it2.reader.ptr && it1.remaining == it2.remaining; -} - -static inline bool operator != (const FileNodeIterator& it1, const FileNodeIterator& it2) -{ - return !(it1 == it2); -} - -static inline ptrdiff_t operator - (const FileNodeIterator& it1, const FileNodeIterator& it2) -{ - return it2.remaining - it1.remaining; -} - -static inline bool operator < (const FileNodeIterator& it1, const FileNodeIterator& it2) -{ - return it1.remaining > it2.remaining; -} - -inline FileNode FileStorage::getFirstTopLevelNode() const -{ - FileNode r = root(); - FileNodeIterator it = r.begin(); - return it != r.end() ? *it : FileNode(); -} - -//////////////////////////////////////// Various algorithms //////////////////////////////////// - -template static inline _Tp gcd(_Tp a, _Tp b) -{ - if( a < b ) - std::swap(a, b); - while( b > 0 ) - { - _Tp r = a % b; - a = b; - b = r; - } - return a; -} - -/****************************************************************************************\ - - Generic implementation of QuickSort algorithm - Use it as: vector<_Tp> a; ... sort(a,); - - The current implementation was derived from *BSD system qsort(): - - * Copyright (c) 1992, 1993 - * The Regents of the University of California. All rights reserved. - * - * Redistribution and use in source and binary forms, with or without - * modification, are permitted provided that the following conditions - * are met: - * 1. Redistributions of source code must retain the above copyright - * notice, this list of conditions and the following disclaimer. - * 2. Redistributions in binary form must reproduce the above copyright - * notice, this list of conditions and the following disclaimer in the - * documentation and/or other materials provided with the distribution. - * 3. All advertising materials mentioning features or use of this software - * must display the following acknowledgement: - * This product includes software developed by the University of - * California, Berkeley and its contributors. - * 4. Neither the name of the University nor the names of its contributors - * may be used to endorse or promote products derived from this software - * without specific prior written permission. - * - * THIS SOFTWARE IS PROVIDED BY THE REGENTS AND CONTRIBUTORS ``AS IS'' AND - * ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE - * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE - * ARE DISCLAIMED. IN NO EVENT SHALL THE REGENTS OR CONTRIBUTORS BE LIABLE - * FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL - * DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS - * OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) - * HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT - * LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY - * OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF - * SUCH DAMAGE. - -\****************************************************************************************/ - -template void sort( vector<_Tp>& vec, _LT LT=_LT() ) -{ - int isort_thresh = 7; - int sp = 0; - - struct - { - _Tp *lb; - _Tp *ub; - } stack[48]; - - size_t total = vec.size(); - - if( total <= 1 ) - return; - - _Tp* arr = &vec[0]; - stack[0].lb = arr; - stack[0].ub = arr + (total - 1); - - while( sp >= 0 ) - { - _Tp* left = stack[sp].lb; - _Tp* right = stack[sp--].ub; - - for(;;) - { - int i, n = (int)(right - left) + 1, m; - _Tp* ptr; - _Tp* ptr2; - - if( n <= isort_thresh ) - { - insert_sort: - for( ptr = left + 1; ptr <= right; ptr++ ) - { - for( ptr2 = ptr; ptr2 > left && LT(ptr2[0],ptr2[-1]); ptr2--) - std::swap( ptr2[0], ptr2[-1] ); - } - break; - } - else - { - _Tp* left0; - _Tp* left1; - _Tp* right0; - _Tp* right1; - _Tp* pivot; - _Tp* a; - _Tp* b; - _Tp* c; - int swap_cnt = 0; - - left0 = left; - right0 = right; - pivot = left + (n/2); - - if( n > 40 ) - { - int d = n / 8; - a = left, b = left + d, c = left + 2*d; - left = LT(*a, *b) ? (LT(*b, *c) ? b : (LT(*a, *c) ? c : a)) - : (LT(*c, *b) ? b : (LT(*a, *c) ? a : c)); - - a = pivot - d, b = pivot, c = pivot + d; - pivot = LT(*a, *b) ? (LT(*b, *c) ? b : (LT(*a, *c) ? c : a)) - : (LT(*c, *b) ? b : (LT(*a, *c) ? a : c)); - - a = right - 2*d, b = right - d, c = right; - right = LT(*a, *b) ? (LT(*b, *c) ? b : (LT(*a, *c) ? c : a)) - : (LT(*c, *b) ? b : (LT(*a, *c) ? a : c)); - } - - a = left, b = pivot, c = right; - pivot = LT(*a, *b) ? (LT(*b, *c) ? b : (LT(*a, *c) ? c : a)) - : (LT(*c, *b) ? b : (LT(*a, *c) ? a : c)); - if( pivot != left0 ) - { - std::swap( *pivot, *left0 ); - pivot = left0; - } - left = left1 = left0 + 1; - right = right1 = right0; - - for(;;) - { - while( left <= right && !LT(*pivot, *left) ) - { - if( !LT(*left, *pivot) ) - { - if( left > left1 ) - std::swap( *left1, *left ); - swap_cnt = 1; - left1++; - } - left++; - } - - while( left <= right && !LT(*right, *pivot) ) - { - if( !LT(*pivot, *right) ) - { - if( right < right1 ) - std::swap( *right1, *right ); - swap_cnt = 1; - right1--; - } - right--; - } - - if( left > right ) - break; - std::swap( *left, *right ); - swap_cnt = 1; - left++; - right--; - } - - if( swap_cnt == 0 ) - { - left = left0, right = right0; - goto insert_sort; - } - - n = std::min( (int)(left1 - left0), (int)(left - left1) ); - for( i = 0; i < n; i++ ) - std::swap( left0[i], left[i-n] ); - - n = std::min( (int)(right0 - right1), (int)(right1 - right) ); - for( i = 0; i < n; i++ ) - std::swap( left[i], right0[i-n+1] ); - n = (int)(left - left1); - m = (int)(right1 - right); - if( n > 1 ) - { - if( m > 1 ) - { - if( n > m ) - { - stack[++sp].lb = left0; - stack[sp].ub = left0 + n - 1; - left = right0 - m + 1, right = right0; - } - else - { - stack[++sp].lb = right0 - m + 1; - stack[sp].ub = right0; - left = left0, right = left0 + n - 1; - } - } - else - left = left0, right = left0 + n - 1; - } - else if( m > 1 ) - left = right0 - m + 1, right = right0; - else - break; - } - } - } -} - -template class LessThan -{ -public: - bool operator()(const _Tp& a, const _Tp& b) const { return a < b; } -}; - -template class GreaterEq -{ -public: - bool operator()(const _Tp& a, const _Tp& b) const { return a >= b; } -}; - -template class LessThanIdx -{ -public: - LessThanIdx( const _Tp* _arr ) : arr(_arr) {} - bool operator()(int a, int b) const { return arr[a] < arr[b]; } - const _Tp* arr; -}; - -template class GreaterEqIdx -{ -public: - GreaterEqIdx( const _Tp* _arr ) : arr(_arr) {} - bool operator()(int a, int b) const { return arr[a] >= arr[b]; } - const _Tp* arr; -}; - - -// This function splits the input sequence or set into one or more equivalence classes and -// returns the vector of labels - 0-based class indexes for each element. -// predicate(a,b) returns true if the two sequence elements certainly belong to the same class. -// -// The algorithm is described in "Introduction to Algorithms" -// by Cormen, Leiserson and Rivest, the chapter "Data structures for disjoint sets" -template int -partition( const vector<_Tp>& _vec, vector& labels, - _EqPredicate predicate=_EqPredicate()) -{ - int i, j, N = (int)_vec.size(); - const _Tp* vec = &_vec[0]; - - const int PARENT=0; - const int RANK=1; - - vector _nodes(N*2); - int (*nodes)[2] = (int(*)[2])&_nodes[0]; - - // The first O(N) pass: create N single-vertex trees - for(i = 0; i < N; i++) - { - nodes[i][PARENT]=-1; - nodes[i][RANK] = 0; - } - - // The main O(N^2) pass: merge connected components - for( i = 0; i < N; i++ ) - { - int root = i; - - // find root - while( nodes[root][PARENT] >= 0 ) - root = nodes[root][PARENT]; - - for( j = 0; j < N; j++ ) - { - if( i == j || !predicate(vec[i], vec[j])) - continue; - int root2 = j; - - while( nodes[root2][PARENT] >= 0 ) - root2 = nodes[root2][PARENT]; - - if( root2 != root ) - { - // unite both trees - int rank = nodes[root][RANK], rank2 = nodes[root2][RANK]; - if( rank > rank2 ) - nodes[root2][PARENT] = root; - else - { - nodes[root][PARENT] = root2; - nodes[root2][RANK] += rank == rank2; - root = root2; - } - assert( nodes[root][PARENT] < 0 ); - - int k = j, parent; - - // compress the path from node2 to root - while( (parent = nodes[k][PARENT]) >= 0 ) - { - nodes[k][PARENT] = root; - k = parent; - } - - // compress the path from node to root - k = i; - while( (parent = nodes[k][PARENT]) >= 0 ) - { - nodes[k][PARENT] = root; - k = parent; - } - } - } - } - - // Final O(N) pass: enumerate classes - labels.resize(N); - int nclasses = 0; - - for( i = 0; i < N; i++ ) - { - int root = i; - while( nodes[root][PARENT] >= 0 ) - root = nodes[root][PARENT]; - // re-use the rank as the class label - if( nodes[root][RANK] >= 0 ) - nodes[root][RANK] = ~nclasses++; - labels[i] = ~nodes[root][RANK]; - } - - return nclasses; -} - - -////////////////////////////////////////////////////////////////////////////// - -// bridge C++ => C Seq API -CV_EXPORTS schar* seqPush( CvSeq* seq, const void* element=0); -CV_EXPORTS schar* seqPushFront( CvSeq* seq, const void* element=0); -CV_EXPORTS void seqPop( CvSeq* seq, void* element=0); -CV_EXPORTS void seqPopFront( CvSeq* seq, void* element=0); -CV_EXPORTS void seqPopMulti( CvSeq* seq, void* elements, - int count, int in_front=0 ); -CV_EXPORTS void seqRemove( CvSeq* seq, int index ); -CV_EXPORTS void clearSeq( CvSeq* seq ); -CV_EXPORTS schar* getSeqElem( const CvSeq* seq, int index ); -CV_EXPORTS void seqRemoveSlice( CvSeq* seq, CvSlice slice ); -CV_EXPORTS void seqInsertSlice( CvSeq* seq, int before_index, const CvArr* from_arr ); - -template inline Seq<_Tp>::Seq() : seq(0) {} -template inline Seq<_Tp>::Seq( const CvSeq* _seq ) : seq((CvSeq*)_seq) -{ - CV_Assert(!_seq || _seq->elem_size == sizeof(_Tp)); -} - -template inline Seq<_Tp>::Seq( MemStorage& storage, - int headerSize ) -{ - CV_Assert(headerSize >= (int)sizeof(CvSeq)); - seq = cvCreateSeq(DataType<_Tp>::type, headerSize, sizeof(_Tp), storage); -} - -template inline _Tp& Seq<_Tp>::operator [](int idx) -{ return *(_Tp*)getSeqElem(seq, idx); } - -template inline const _Tp& Seq<_Tp>::operator [](int idx) const -{ return *(_Tp*)getSeqElem(seq, idx); } - -template inline SeqIterator<_Tp> Seq<_Tp>::begin() const -{ return SeqIterator<_Tp>(*this); } - -template inline SeqIterator<_Tp> Seq<_Tp>::end() const -{ return SeqIterator<_Tp>(*this, true); } - -template inline size_t Seq<_Tp>::size() const -{ return seq ? seq->total : 0; } - -template inline int Seq<_Tp>::type() const -{ return seq ? CV_MAT_TYPE(seq->flags) : 0; } - -template inline int Seq<_Tp>::depth() const -{ return seq ? CV_MAT_DEPTH(seq->flags) : 0; } - -template inline int Seq<_Tp>::channels() const -{ return seq ? CV_MAT_CN(seq->flags) : 0; } - -template inline size_t Seq<_Tp>::elemSize() const -{ return seq ? seq->elem_size : 0; } - -template inline size_t Seq<_Tp>::index(const _Tp& elem) const -{ return cvSeqElemIdx(seq, &elem); } - -template inline void Seq<_Tp>::push_back(const _Tp& elem) -{ cvSeqPush(seq, &elem); } - -template inline void Seq<_Tp>::push_front(const _Tp& elem) -{ cvSeqPushFront(seq, &elem); } - -template inline void Seq<_Tp>::push_back(const _Tp* elem, size_t count) -{ cvSeqPushMulti(seq, elem, (int)count, 0); } - -template inline void Seq<_Tp>::push_front(const _Tp* elem, size_t count) -{ cvSeqPushMulti(seq, elem, (int)count, 1); } - -template inline _Tp& Seq<_Tp>::back() -{ return *(_Tp*)getSeqElem(seq, -1); } - -template inline const _Tp& Seq<_Tp>::back() const -{ return *(const _Tp*)getSeqElem(seq, -1); } - -template inline _Tp& Seq<_Tp>::front() -{ return *(_Tp*)getSeqElem(seq, 0); } - -template inline const _Tp& Seq<_Tp>::front() const -{ return *(const _Tp*)getSeqElem(seq, 0); } - -template inline bool Seq<_Tp>::empty() const -{ return !seq || seq->total == 0; } - -template inline void Seq<_Tp>::clear() -{ if(seq) clearSeq(seq); } - -template inline void Seq<_Tp>::pop_back() -{ seqPop(seq); } - -template inline void Seq<_Tp>::pop_front() -{ seqPopFront(seq); } - -template inline void Seq<_Tp>::pop_back(_Tp* elem, size_t count) -{ seqPopMulti(seq, elem, (int)count, 0); } - -template inline void Seq<_Tp>::pop_front(_Tp* elem, size_t count) -{ seqPopMulti(seq, elem, (int)count, 1); } - -template inline void Seq<_Tp>::insert(int idx, const _Tp& elem) -{ seqInsert(seq, idx, &elem); } - -template inline void Seq<_Tp>::insert(int idx, const _Tp* elems, size_t count) -{ - CvMat m = cvMat(1, count, DataType<_Tp>::type, elems); - seqInsertSlice(seq, idx, &m); -} - -template inline void Seq<_Tp>::remove(int idx) -{ seqRemove(seq, idx); } - -template inline void Seq<_Tp>::remove(const Range& r) -{ seqRemoveSlice(seq, r); } - -template inline void Seq<_Tp>::copyTo(vector<_Tp>& vec, const Range& range) const -{ - size_t len = !seq ? 0 : range == Range::all() ? seq->total : range.end - range.start; - vec.resize(len); - if( seq && len ) - cvCvtSeqToArray(seq, &vec[0], range); -} - -template inline Seq<_Tp>::operator vector<_Tp>() const -{ - vector<_Tp> vec; - copyTo(vec); - return vec; -} - -template inline SeqIterator<_Tp>::SeqIterator() -{ memset(this, 0, sizeof(*this)); } - -template inline SeqIterator<_Tp>::SeqIterator(const Seq<_Tp>& _seq, bool seekEnd) -{ - cvStartReadSeq(_seq.seq, this); - index = seekEnd ? _seq.seq->total : 0; -} - -template inline void SeqIterator<_Tp>::seek(size_t pos) -{ - cvSetSeqReaderPos(this, (int)pos, false); - index = pos; -} - -template inline size_t SeqIterator<_Tp>::tell() const -{ return index; } - -template inline _Tp& SeqIterator<_Tp>::operator *() -{ return *(_Tp*)ptr; } - -template inline const _Tp& SeqIterator<_Tp>::operator *() const -{ return *(const _Tp*)ptr; } - -template inline SeqIterator<_Tp>& SeqIterator<_Tp>::operator ++() -{ - CV_NEXT_SEQ_ELEM(sizeof(_Tp), *this); - if( ++index >= seq->total*2 ) - index = 0; - return *this; -} - -template inline SeqIterator<_Tp> SeqIterator<_Tp>::operator ++(int) const -{ - SeqIterator<_Tp> it = *this; - ++*this; - return it; -} - -template inline SeqIterator<_Tp>& SeqIterator<_Tp>::operator --() -{ - CV_PREV_SEQ_ELEM(sizeof(_Tp), *this); - if( --index < 0 ) - index = seq->total*2-1; - return *this; -} - -template inline SeqIterator<_Tp> SeqIterator<_Tp>::operator --(int) const -{ - SeqIterator<_Tp> it = *this; - --*this; - return it; -} - -template inline SeqIterator<_Tp>& SeqIterator<_Tp>::operator +=(int delta) -{ - cvSetSeqReaderPos(this, delta, 1); - index += delta; - int n = seq->total*2; - if( index < 0 ) - index += n; - if( index >= n ) - index -= n; - return *this; -} - -template inline SeqIterator<_Tp>& SeqIterator<_Tp>::operator -=(int delta) -{ - return (*this += -delta); -} - -template inline ptrdiff_t operator - (const SeqIterator<_Tp>& a, - const SeqIterator<_Tp>& b) -{ - ptrdiff_t delta = a.index - b.index, n = a.seq->total; -#if defined(__QNX__) - // No long std::abs(long) in QNX - long absdelta = (delta < 0) ? -delta : delta; - if( absdelta > n ) -#else - if( std::abs(static_cast(delta)) > n ) -#endif - delta += delta < 0 ? n : -n; - - return delta; -} - -template inline bool operator == (const SeqIterator<_Tp>& a, - const SeqIterator<_Tp>& b) -{ - return a.seq == b.seq && a.index == b.index; -} - -template inline bool operator != (const SeqIterator<_Tp>& a, - const SeqIterator<_Tp>& b) -{ - return !(a == b); -} - - -template struct RTTIImpl -{ -public: - static int isInstance(const void* ptr) - { - static _ClsName dummy; - static void* dummyp = &dummy; - union - { - const void* p; - const void** pp; - } a, b; - a.p = dummyp; - b.p = ptr; - return *a.pp == *b.pp; - } - static void release(void** dbptr) - { - if(dbptr && *dbptr) - { - delete (_ClsName*)*dbptr; - *dbptr = 0; - } - } - static void* read(CvFileStorage* fs, CvFileNode* n) - { - FileNode fn(fs, n); - _ClsName* obj = new _ClsName; - if(obj->read(fn)) - return obj; - delete obj; - return 0; - } - - static void write(CvFileStorage* _fs, const char* name, const void* ptr, CvAttrList) - { - if(ptr && _fs) - { - FileStorage fs(_fs); - fs.fs.addref(); - ((const _ClsName*)ptr)->write(fs, string(name)); - } - } - - static void* clone(const void* ptr) - { - if(!ptr) - return 0; - return new _ClsName(*(const _ClsName*)ptr); - } -}; - - -class CV_EXPORTS Formatter -{ -public: - virtual ~Formatter() {} - virtual void write(std::ostream& out, const Mat& m, const int* params=0, int nparams=0) const = 0; - virtual void write(std::ostream& out, const void* data, int nelems, int type, - const int* params=0, int nparams=0) const = 0; - static const Formatter* get(const char* fmt=""); - static const Formatter* setDefault(const Formatter* fmt); -}; - - -struct CV_EXPORTS Formatted -{ - Formatted(const Mat& m, const Formatter* fmt, - const vector& params); - Formatted(const Mat& m, const Formatter* fmt, - const int* params=0); - Mat mtx; - const Formatter* fmt; - vector params; -}; - -static inline Formatted format(const Mat& mtx, const char* fmt, - const vector& params=vector()) -{ - return Formatted(mtx, Formatter::get(fmt), params); -} - -template static inline Formatted format(const vector >& vec, - const char* fmt, const vector& params=vector()) -{ - return Formatted(Mat(vec), Formatter::get(fmt), params); -} - -template static inline Formatted format(const vector >& vec, - const char* fmt, const vector& params=vector()) -{ - return Formatted(Mat(vec), Formatter::get(fmt), params); -} - -/** \brief prints Mat to the output stream in Matlab notation - * use like - @verbatim - Mat my_mat = Mat::eye(3,3,CV_32F); - std::cout << my_mat; - @endverbatim - */ -static inline std::ostream& operator << (std::ostream& out, const Mat& mtx) -{ - Formatter::get()->write(out, mtx); - return out; -} - -/** \brief prints Mat to the output stream allows in the specified notation (see format) - * use like - @verbatim - Mat my_mat = Mat::eye(3,3,CV_32F); - std::cout << my_mat; - @endverbatim - */ -static inline std::ostream& operator << (std::ostream& out, const Formatted& fmtd) -{ - fmtd.fmt->write(out, fmtd.mtx); - return out; -} - - -template static inline std::ostream& operator << (std::ostream& out, - const vector >& vec) -{ - Formatter::get()->write(out, Mat(vec)); - return out; -} - - -template static inline std::ostream& operator << (std::ostream& out, - const vector >& vec) -{ - Formatter::get()->write(out, Mat(vec)); - return out; -} - - -/** Writes a Matx to an output stream. - */ -template inline std::ostream& operator<<(std::ostream& out, const Matx<_Tp, m, n>& matx) -{ - out << cv::Mat(matx); - return out; -} - -/** Writes a point to an output stream in Matlab notation - */ -template inline std::ostream& operator<<(std::ostream& out, const Point_<_Tp>& p) -{ - out << "[" << p.x << ", " << p.y << "]"; - return out; -} - -/** Writes a point to an output stream in Matlab notation - */ -template inline std::ostream& operator<<(std::ostream& out, const Point3_<_Tp>& p) -{ - out << "[" << p.x << ", " << p.y << ", " << p.z << "]"; - return out; -} - -/** Writes a Vec to an output stream. Format example : [10, 20, 30] - */ -template inline std::ostream& operator<<(std::ostream& out, const Vec<_Tp, n>& vec) -{ - out << "["; - - if(Vec<_Tp, n>::depth < CV_32F) - { - for (int i = 0; i < n - 1; ++i) { - out << (int)vec[i] << ", "; - } - out << (int)vec[n-1] << "]"; - } - else - { - for (int i = 0; i < n - 1; ++i) { - out << vec[i] << ", "; - } - out << vec[n-1] << "]"; - } - - return out; -} - -/** Writes a Size_ to an output stream. Format example : [640 x 480] - */ -template inline std::ostream& operator<<(std::ostream& out, const Size_<_Tp>& size) -{ - out << "[" << size.width << " x " << size.height << "]"; - return out; -} - -/** Writes a Rect_ to an output stream. Format example : [640 x 480 from (10, 20)] - */ -template inline std::ostream& operator<<(std::ostream& out, const Rect_<_Tp>& rect) -{ - out << "[" << rect.width << " x " << rect.height << " from (" << rect.x << ", " << rect.y << ")]"; - return out; -} - - -template inline Ptr<_Tp> Algorithm::create(const string& name) -{ - return _create(name).ptr<_Tp>(); -} - -template -inline void Algorithm::set(const char* _name, const Ptr<_Tp>& value) -{ - Ptr algo_ptr = value. template ptr(); - if (algo_ptr.empty()) { - CV_Error( CV_StsUnsupportedFormat, "unknown/unsupported Ptr type of the second parameter of the method Algorithm::set"); - } - info()->set(this, _name, ParamType::type, &algo_ptr); -} - -template -inline void Algorithm::set(const string& _name, const Ptr<_Tp>& value) -{ - this->set<_Tp>(_name.c_str(), value); -} - -template -inline void Algorithm::setAlgorithm(const char* _name, const Ptr<_Tp>& value) -{ - Ptr algo_ptr = value. template ptr(); - if (algo_ptr.empty()) { - CV_Error( CV_StsUnsupportedFormat, "unknown/unsupported Ptr type of the second parameter of the method Algorithm::set"); - } - info()->set(this, _name, ParamType::type, &algo_ptr); -} - -template -inline void Algorithm::setAlgorithm(const string& _name, const Ptr<_Tp>& value) -{ - this->set<_Tp>(_name.c_str(), value); -} - -template inline typename ParamType<_Tp>::member_type Algorithm::get(const string& _name) const -{ - typename ParamType<_Tp>::member_type value; - info()->get(this, _name.c_str(), ParamType<_Tp>::type, &value); - return value; -} - -template inline typename ParamType<_Tp>::member_type Algorithm::get(const char* _name) const -{ - typename ParamType<_Tp>::member_type value; - info()->get(this, _name, ParamType<_Tp>::type, &value); - return value; -} - -template inline void AlgorithmInfo::addParam(Algorithm& algo, const char* parameter, - Ptr<_Tp>& value, bool readOnly, Ptr<_Tp> (Algorithm::*getter)(), void (Algorithm::*setter)(const Ptr<_Tp>&), - const string& help) -{ - //TODO: static assert: _Tp inherits from _Base - addParam_(algo, parameter, ParamType<_Base>::type, &value, readOnly, - (Algorithm::Getter)getter, (Algorithm::Setter)setter, help); -} - -template inline void AlgorithmInfo::addParam(Algorithm& algo, const char* parameter, - Ptr<_Tp>& value, bool readOnly, Ptr<_Tp> (Algorithm::*getter)(), void (Algorithm::*setter)(const Ptr<_Tp>&), - const string& help) -{ - //TODO: static assert: _Tp inherits from Algorithm - addParam_(algo, parameter, ParamType::type, &value, readOnly, - (Algorithm::Getter)getter, (Algorithm::Setter)setter, help); -} - -} - -#ifdef _MSC_VER -# pragma warning(pop) -#endif - -#endif // __cplusplus -#endif diff --git a/phonelibs/opencv/include/opencv2/core/types_c.h b/phonelibs/opencv/include/opencv2/core/types_c.h deleted file mode 100644 index 0e2de71d37..0000000000 --- a/phonelibs/opencv/include/opencv2/core/types_c.h +++ /dev/null @@ -1,1932 +0,0 @@ -/*M/////////////////////////////////////////////////////////////////////////////////////// -// -// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING. -// -// By downloading, copying, installing or using the software you agree to this license. -// If you do not agree to this license, do not download, install, -// copy or use the software. -// -// -// License Agreement -// For Open Source Computer Vision Library -// -// Copyright (C) 2000-2008, Intel Corporation, all rights reserved. -// Copyright (C) 2009, Willow Garage Inc., all rights reserved. -// Third party copyrights are property of their respective owners. -// -// Redistribution and use in source and binary forms, with or without modification, -// are permitted provided that the following conditions are met: -// -// * Redistribution's of source code must retain the above copyright notice, -// this list of conditions and the following disclaimer. -// -// * Redistribution's in binary form must reproduce the above copyright notice, -// this list of conditions and the following disclaimer in the documentation -// and/or other materials provided with the distribution. -// -// * The name of the copyright holders may not be used to endorse or promote products -// derived from this software without specific prior written permission. -// -// This software is provided by the copyright holders and contributors "as is" and -// any express or implied warranties, including, but not limited to, the implied -// warranties of merchantability and fitness for a particular purpose are disclaimed. -// In no event shall the Intel Corporation or contributors be liable for any direct, -// indirect, incidental, special, exemplary, or consequential damages -// (including, but not limited to, procurement of substitute goods or services; -// loss of use, data, or profits; or business interruption) however caused -// and on any theory of liability, whether in contract, strict liability, -// or tort (including negligence or otherwise) arising in any way out of -// the use of this software, even if advised of the possibility of such damage. -// -//M*/ - -#ifndef __OPENCV_CORE_TYPES_H__ -#define __OPENCV_CORE_TYPES_H__ - -#if defined(__GNUC__) && !defined(COMPILER_ICC) -# define CV_ATTR_UNUSED __attribute__((unused)) -# define CV_ATTR_USED __attribute__((used)) -#else -# define CV_ATTR_UNUSED -# define CV_ATTR_USED -#endif - - -#if !defined _CRT_SECURE_NO_DEPRECATE && defined _MSC_VER -# if _MSC_VER > 1300 -# define _CRT_SECURE_NO_DEPRECATE /* to avoid multiple Visual Studio 2005 warnings */ -# endif -#endif - - -#ifndef SKIP_INCLUDES - -#include -#include -#include -#include - -#if !defined _MSC_VER && !defined __BORLANDC__ -# include -#endif - -#if defined __ICL -# define CV_ICC __ICL -#elif defined __ICC -# define CV_ICC __ICC -#elif defined __ECL -# define CV_ICC __ECL -#elif defined __ECC -# define CV_ICC __ECC -#elif defined __INTEL_COMPILER -# define CV_ICC __INTEL_COMPILER -#endif - -#if defined CV_ICC && !defined CV_ENABLE_UNROLLED -# define CV_ENABLE_UNROLLED 0 -#else -# define CV_ENABLE_UNROLLED 1 -#endif - -#if (defined _M_X64 && defined _MSC_VER && _MSC_VER >= 1400) || (__GNUC__ >= 4 && defined __x86_64__) -# if defined WIN32 -# include -# endif -# if defined __SSE2__ || !defined __GNUC__ -# include -# endif -#endif - -#if defined __BORLANDC__ -# include -#else -# include -#endif - -#ifdef HAVE_IPL -# ifndef __IPL_H__ -# if defined WIN32 || defined _WIN32 -# include -# else -# include -# endif -# endif -#elif defined __IPL_H__ -# define HAVE_IPL -#endif - -#endif // SKIP_INCLUDES - -#if defined WIN32 || defined _WIN32 -# define CV_CDECL __cdecl -# define CV_STDCALL __stdcall -#else -# define CV_CDECL -# define CV_STDCALL -#endif - -#ifndef CV_EXTERN_C -# ifdef __cplusplus -# define CV_EXTERN_C extern "C" -# define CV_DEFAULT(val) = val -# else -# define CV_EXTERN_C -# define CV_DEFAULT(val) -# endif -#endif - -#ifndef CV_EXTERN_C_FUNCPTR -# ifdef __cplusplus -# define CV_EXTERN_C_FUNCPTR(x) extern "C" { typedef x; } -# else -# define CV_EXTERN_C_FUNCPTR(x) typedef x -# endif -#endif - -#ifndef CV_INLINE -# if defined __cplusplus -# define CV_INLINE inline -# elif defined _MSC_VER -# define CV_INLINE __inline -# else -# define CV_INLINE static -# endif -#endif /* CV_INLINE */ - -#if (defined WIN32 || defined _WIN32 || defined WINCE) && defined CVAPI_EXPORTS -# define CV_EXPORTS __declspec(dllexport) -#else -# define CV_EXPORTS -#endif - -#ifndef CVAPI -# define CVAPI(rettype) CV_EXTERN_C CV_EXPORTS rettype CV_CDECL -#endif - -#if defined _MSC_VER || defined __BORLANDC__ - typedef __int64 int64; - typedef unsigned __int64 uint64; -# define CV_BIG_INT(n) n##I64 -# define CV_BIG_UINT(n) n##UI64 -#else - typedef int64_t int64; - typedef uint64_t uint64; -# define CV_BIG_INT(n) n##LL -# define CV_BIG_UINT(n) n##ULL -#endif - -#ifndef HAVE_IPL - typedef unsigned char uchar; - typedef unsigned short ushort; -#endif - -typedef signed char schar; - -/* special informative macros for wrapper generators */ -#define CV_CARRAY(counter) -#define CV_CUSTOM_CARRAY(args) -#define CV_EXPORTS_W CV_EXPORTS -#define CV_EXPORTS_W_SIMPLE CV_EXPORTS -#define CV_EXPORTS_AS(synonym) CV_EXPORTS -#define CV_EXPORTS_W_MAP CV_EXPORTS -#define CV_IN_OUT -#define CV_OUT -#define CV_PROP -#define CV_PROP_RW -#define CV_WRAP -#define CV_WRAP_AS(synonym) -#define CV_WRAP_DEFAULT(value) - -/* CvArr* is used to pass arbitrary - * array-like data structures - * into functions where the particular - * array type is recognized at runtime: - */ -typedef void CvArr; - -typedef union Cv32suf -{ - int i; - unsigned u; - float f; -} -Cv32suf; - -typedef union Cv64suf -{ - int64 i; - uint64 u; - double f; -} -Cv64suf; - -typedef int CVStatus; - -enum { - CV_StsOk= 0, /* everithing is ok */ - CV_StsBackTrace= -1, /* pseudo error for back trace */ - CV_StsError= -2, /* unknown /unspecified error */ - CV_StsInternal= -3, /* internal error (bad state) */ - CV_StsNoMem= -4, /* insufficient memory */ - CV_StsBadArg= -5, /* function arg/param is bad */ - CV_StsBadFunc= -6, /* unsupported function */ - CV_StsNoConv= -7, /* iter. didn't converge */ - CV_StsAutoTrace= -8, /* tracing */ - CV_HeaderIsNull= -9, /* image header is NULL */ - CV_BadImageSize= -10, /* image size is invalid */ - CV_BadOffset= -11, /* offset is invalid */ - CV_BadDataPtr= -12, /**/ - CV_BadStep= -13, /**/ - CV_BadModelOrChSeq= -14, /**/ - CV_BadNumChannels= -15, /**/ - CV_BadNumChannel1U= -16, /**/ - CV_BadDepth= -17, /**/ - CV_BadAlphaChannel= -18, /**/ - CV_BadOrder= -19, /**/ - CV_BadOrigin= -20, /**/ - CV_BadAlign= -21, /**/ - CV_BadCallBack= -22, /**/ - CV_BadTileSize= -23, /**/ - CV_BadCOI= -24, /**/ - CV_BadROISize= -25, /**/ - CV_MaskIsTiled= -26, /**/ - CV_StsNullPtr= -27, /* null pointer */ - CV_StsVecLengthErr= -28, /* incorrect vector length */ - CV_StsFilterStructContentErr= -29, /* incorr. filter structure content */ - CV_StsKernelStructContentErr= -30, /* incorr. transform kernel content */ - CV_StsFilterOffsetErr= -31, /* incorrect filter offset value */ - CV_StsBadSize= -201, /* the input/output structure size is incorrect */ - CV_StsDivByZero= -202, /* division by zero */ - CV_StsInplaceNotSupported= -203, /* in-place operation is not supported */ - CV_StsObjectNotFound= -204, /* request can't be completed */ - CV_StsUnmatchedFormats= -205, /* formats of input/output arrays differ */ - CV_StsBadFlag= -206, /* flag is wrong or not supported */ - CV_StsBadPoint= -207, /* bad CvPoint */ - CV_StsBadMask= -208, /* bad format of mask (neither 8uC1 nor 8sC1)*/ - CV_StsUnmatchedSizes= -209, /* sizes of input/output structures do not match */ - CV_StsUnsupportedFormat= -210, /* the data format/type is not supported by the function*/ - CV_StsOutOfRange= -211, /* some of parameters are out of range */ - CV_StsParseError= -212, /* invalid syntax/structure of the parsed file */ - CV_StsNotImplemented= -213, /* the requested function/feature is not implemented */ - CV_StsBadMemBlock= -214, /* an allocated block has been corrupted */ - CV_StsAssert= -215, /* assertion failed */ - CV_GpuNotSupported= -216, - CV_GpuApiCallError= -217, - CV_OpenGlNotSupported= -218, - CV_OpenGlApiCallError= -219, - CV_OpenCLDoubleNotSupported= -220, - CV_OpenCLInitError= -221, - CV_OpenCLNoAMDBlasFft= -222 -}; - -/****************************************************************************************\ -* Common macros and inline functions * -\****************************************************************************************/ - -#ifdef HAVE_TEGRA_OPTIMIZATION -# include "tegra_round.hpp" -#endif - -#define CV_PI 3.1415926535897932384626433832795 -#define CV_LOG2 0.69314718055994530941723212145818 - -#define CV_SWAP(a,b,t) ((t) = (a), (a) = (b), (b) = (t)) - -#ifndef MIN -# define MIN(a,b) ((a) > (b) ? (b) : (a)) -#endif - -#ifndef MAX -# define MAX(a,b) ((a) < (b) ? (b) : (a)) -#endif - -/* min & max without jumps */ -#define CV_IMIN(a, b) ((a) ^ (((a)^(b)) & (((a) < (b)) - 1))) - -#define CV_IMAX(a, b) ((a) ^ (((a)^(b)) & (((a) > (b)) - 1))) - -/* absolute value without jumps */ -#ifndef __cplusplus -# define CV_IABS(a) (((a) ^ ((a) < 0 ? -1 : 0)) - ((a) < 0 ? -1 : 0)) -#else -# define CV_IABS(a) abs(a) -#endif -#define CV_CMP(a,b) (((a) > (b)) - ((a) < (b))) -#define CV_SIGN(a) CV_CMP((a),0) - -#if defined __GNUC__ && defined __arm__ && (defined __ARM_PCS_VFP || defined __ARM_VFPV3__) -# define CV_VFP 1 -#else -# define CV_VFP 0 -#endif - - -#if CV_VFP -// 1. general scheme -#define ARM_ROUND(_value, _asm_string) \ - int res; \ - float temp; \ - (void)temp; \ - __asm__(_asm_string : [res] "=r" (res), [temp] "=w" (temp) : [value] "w" (_value)); \ - return res; -// 2. version for double -#ifdef __clang__ -#define ARM_ROUND_DBL(value) ARM_ROUND(value, "vcvtr.s32.f64 %[temp], %[value] \n vmov %[res], %[temp]") -#else -#define ARM_ROUND_DBL(value) ARM_ROUND(value, "vcvtr.s32.f64 %[temp], %P[value] \n vmov %[res], %[temp]") -#endif -// 3. version for float -#define ARM_ROUND_FLT(value) ARM_ROUND(value, "vcvtr.s32.f32 %[temp], %[value]\n vmov %[res], %[temp]") -#endif // CV_VFP - -CV_INLINE int cvRound( double value ) -{ -#if (defined _MSC_VER && defined _M_X64) || (defined __GNUC__ && defined __x86_64__ && defined __SSE2__ && !defined __APPLE__) - __m128d t = _mm_set_sd( value ); - return _mm_cvtsd_si32(t); -#elif defined _MSC_VER && defined _M_IX86 - int t; - __asm - { - fld value; - fistp t; - } - return t; -#elif defined _MSC_VER && defined _M_ARM && defined HAVE_TEGRA_OPTIMIZATION - TEGRA_ROUND(value); -#elif defined CV_ICC || defined __GNUC__ -# ifdef HAVE_TEGRA_OPTIMIZATION - TEGRA_ROUND(value); -# elif CV_VFP - ARM_ROUND_DBL(value) -# else - return (int)lrint(value); -# endif -#else - double intpart, fractpart; - fractpart = modf(value, &intpart); - if ((fabs(fractpart) != 0.5) || ((((int)intpart) % 2) != 0)) - return (int)(value + (value >= 0 ? 0.5 : -0.5)); - else - return (int)intpart; -#endif -} - -#if defined __SSE2__ || (defined _M_IX86_FP && 2 == _M_IX86_FP) -# include "emmintrin.h" -#endif - -CV_INLINE int cvFloor( double value ) -{ -#if defined _MSC_VER && defined _M_X64 || (defined __GNUC__ && defined __SSE2__ && !defined __APPLE__) - __m128d t = _mm_set_sd( value ); - int i = _mm_cvtsd_si32(t); - return i - _mm_movemask_pd(_mm_cmplt_sd(t, _mm_cvtsi32_sd(t,i))); -#elif defined __GNUC__ - int i = (int)value; - return i - (i > value); -#else - int i = cvRound(value); - float diff = (float)(value - i); - return i - (diff < 0); -#endif -} - - -CV_INLINE int cvCeil( double value ) -{ -#if defined _MSC_VER && defined _M_X64 || (defined __GNUC__ && defined __SSE2__&& !defined __APPLE__) - __m128d t = _mm_set_sd( value ); - int i = _mm_cvtsd_si32(t); - return i + _mm_movemask_pd(_mm_cmplt_sd(_mm_cvtsi32_sd(t,i), t)); -#elif defined __GNUC__ - int i = (int)value; - return i + (i < value); -#else - int i = cvRound(value); - float diff = (float)(i - value); - return i + (diff < 0); -#endif -} - -#define cvInvSqrt(value) ((float)(1./sqrt(value))) -#define cvSqrt(value) ((float)sqrt(value)) - -CV_INLINE int cvIsNaN( double value ) -{ - Cv64suf ieee754; - ieee754.f = value; - return ((unsigned)(ieee754.u >> 32) & 0x7fffffff) + - ((unsigned)ieee754.u != 0) > 0x7ff00000; -} - - -CV_INLINE int cvIsInf( double value ) -{ - Cv64suf ieee754; - ieee754.f = value; - return ((unsigned)(ieee754.u >> 32) & 0x7fffffff) == 0x7ff00000 && - (unsigned)ieee754.u == 0; -} - - -/*************** Random number generation *******************/ - -typedef uint64 CvRNG; - -#define CV_RNG_COEFF 4164903690U - -CV_INLINE CvRNG cvRNG( int64 seed CV_DEFAULT(-1)) -{ - CvRNG rng = seed ? (uint64)seed : (uint64)(int64)-1; - return rng; -} - -/* Return random 32-bit unsigned integer: */ -CV_INLINE unsigned cvRandInt( CvRNG* rng ) -{ - uint64 temp = *rng; - temp = (uint64)(unsigned)temp*CV_RNG_COEFF + (temp >> 32); - *rng = temp; - return (unsigned)temp; -} - -/* Returns random floating-point number between 0 and 1: */ -CV_INLINE double cvRandReal( CvRNG* rng ) -{ - return cvRandInt(rng)*2.3283064365386962890625e-10 /* 2^-32 */; -} - -/****************************************************************************************\ -* Image type (IplImage) * -\****************************************************************************************/ - -#ifndef HAVE_IPL - -/* - * The following definitions (until #endif) - * is an extract from IPL headers. - * Copyright (c) 1995 Intel Corporation. - */ -#define IPL_DEPTH_SIGN 0x80000000 - -#define IPL_DEPTH_1U 1 -#define IPL_DEPTH_8U 8 -#define IPL_DEPTH_16U 16 -#define IPL_DEPTH_32F 32 - -#define IPL_DEPTH_8S (IPL_DEPTH_SIGN| 8) -#define IPL_DEPTH_16S (IPL_DEPTH_SIGN|16) -#define IPL_DEPTH_32S (IPL_DEPTH_SIGN|32) - -#define IPL_DATA_ORDER_PIXEL 0 -#define IPL_DATA_ORDER_PLANE 1 - -#define IPL_ORIGIN_TL 0 -#define IPL_ORIGIN_BL 1 - -#define IPL_ALIGN_4BYTES 4 -#define IPL_ALIGN_8BYTES 8 -#define IPL_ALIGN_16BYTES 16 -#define IPL_ALIGN_32BYTES 32 - -#define IPL_ALIGN_DWORD IPL_ALIGN_4BYTES -#define IPL_ALIGN_QWORD IPL_ALIGN_8BYTES - -#define IPL_BORDER_CONSTANT 0 -#define IPL_BORDER_REPLICATE 1 -#define IPL_BORDER_REFLECT 2 -#define IPL_BORDER_WRAP 3 - -typedef struct _IplImage -{ - int nSize; /* sizeof(IplImage) */ - int ID; /* version (=0)*/ - int nChannels; /* Most of OpenCV functions support 1,2,3 or 4 channels */ - int alphaChannel; /* Ignored by OpenCV */ - int depth; /* Pixel depth in bits: IPL_DEPTH_8U, IPL_DEPTH_8S, IPL_DEPTH_16S, - IPL_DEPTH_32S, IPL_DEPTH_32F and IPL_DEPTH_64F are supported. */ - char colorModel[4]; /* Ignored by OpenCV */ - char channelSeq[4]; /* ditto */ - int dataOrder; /* 0 - interleaved color channels, 1 - separate color channels. - cvCreateImage can only create interleaved images */ - int origin; /* 0 - top-left origin, - 1 - bottom-left origin (Windows bitmaps style). */ - int align; /* Alignment of image rows (4 or 8). - OpenCV ignores it and uses widthStep instead. */ - int width; /* Image width in pixels. */ - int height; /* Image height in pixels. */ - struct _IplROI *roi; /* Image ROI. If NULL, the whole image is selected. */ - struct _IplImage *maskROI; /* Must be NULL. */ - void *imageId; /* " " */ - struct _IplTileInfo *tileInfo; /* " " */ - int imageSize; /* Image data size in bytes - (==image->height*image->widthStep - in case of interleaved data)*/ - char *imageData; /* Pointer to aligned image data. */ - int widthStep; /* Size of aligned image row in bytes. */ - int BorderMode[4]; /* Ignored by OpenCV. */ - int BorderConst[4]; /* Ditto. */ - char *imageDataOrigin; /* Pointer to very origin of image data - (not necessarily aligned) - - needed for correct deallocation */ -} -IplImage; - -typedef struct _IplTileInfo IplTileInfo; - -typedef struct _IplROI -{ - int coi; /* 0 - no COI (all channels are selected), 1 - 0th channel is selected ...*/ - int xOffset; - int yOffset; - int width; - int height; -} -IplROI; - -typedef struct _IplConvKernel -{ - int nCols; - int nRows; - int anchorX; - int anchorY; - int *values; - int nShiftR; -} -IplConvKernel; - -typedef struct _IplConvKernelFP -{ - int nCols; - int nRows; - int anchorX; - int anchorY; - float *values; -} -IplConvKernelFP; - -#define IPL_IMAGE_HEADER 1 -#define IPL_IMAGE_DATA 2 -#define IPL_IMAGE_ROI 4 - -#endif/*HAVE_IPL*/ - -/* extra border mode */ -#define IPL_BORDER_REFLECT_101 4 -#define IPL_BORDER_TRANSPARENT 5 - -#define IPL_IMAGE_MAGIC_VAL ((int)sizeof(IplImage)) -#define CV_TYPE_NAME_IMAGE "opencv-image" - -#define CV_IS_IMAGE_HDR(img) \ - ((img) != NULL && ((const IplImage*)(img))->nSize == sizeof(IplImage)) - -#define CV_IS_IMAGE(img) \ - (CV_IS_IMAGE_HDR(img) && ((IplImage*)img)->imageData != NULL) - -/* for storing double-precision - floating point data in IplImage's */ -#define IPL_DEPTH_64F 64 - -/* get reference to pixel at (col,row), - for multi-channel images (col) should be multiplied by number of channels */ -#define CV_IMAGE_ELEM( image, elemtype, row, col ) \ - (((elemtype*)((image)->imageData + (image)->widthStep*(row)))[(col)]) - -/****************************************************************************************\ -* Matrix type (CvMat) * -\****************************************************************************************/ - -#define CV_CN_MAX 512 -#define CV_CN_SHIFT 3 -#define CV_DEPTH_MAX (1 << CV_CN_SHIFT) - -#define CV_8U 0 -#define CV_8S 1 -#define CV_16U 2 -#define CV_16S 3 -#define CV_32S 4 -#define CV_32F 5 -#define CV_64F 6 -#define CV_USRTYPE1 7 - -#define CV_MAT_DEPTH_MASK (CV_DEPTH_MAX - 1) -#define CV_MAT_DEPTH(flags) ((flags) & CV_MAT_DEPTH_MASK) - -#define CV_MAKETYPE(depth,cn) (CV_MAT_DEPTH(depth) + (((cn)-1) << CV_CN_SHIFT)) -#define CV_MAKE_TYPE CV_MAKETYPE - -#define CV_8UC1 CV_MAKETYPE(CV_8U,1) -#define CV_8UC2 CV_MAKETYPE(CV_8U,2) -#define CV_8UC3 CV_MAKETYPE(CV_8U,3) -#define CV_8UC4 CV_MAKETYPE(CV_8U,4) -#define CV_8UC(n) CV_MAKETYPE(CV_8U,(n)) - -#define CV_8SC1 CV_MAKETYPE(CV_8S,1) -#define CV_8SC2 CV_MAKETYPE(CV_8S,2) -#define CV_8SC3 CV_MAKETYPE(CV_8S,3) -#define CV_8SC4 CV_MAKETYPE(CV_8S,4) -#define CV_8SC(n) CV_MAKETYPE(CV_8S,(n)) - -#define CV_16UC1 CV_MAKETYPE(CV_16U,1) -#define CV_16UC2 CV_MAKETYPE(CV_16U,2) -#define CV_16UC3 CV_MAKETYPE(CV_16U,3) -#define CV_16UC4 CV_MAKETYPE(CV_16U,4) -#define CV_16UC(n) CV_MAKETYPE(CV_16U,(n)) - -#define CV_16SC1 CV_MAKETYPE(CV_16S,1) -#define CV_16SC2 CV_MAKETYPE(CV_16S,2) -#define CV_16SC3 CV_MAKETYPE(CV_16S,3) -#define CV_16SC4 CV_MAKETYPE(CV_16S,4) -#define CV_16SC(n) CV_MAKETYPE(CV_16S,(n)) - -#define CV_32SC1 CV_MAKETYPE(CV_32S,1) -#define CV_32SC2 CV_MAKETYPE(CV_32S,2) -#define CV_32SC3 CV_MAKETYPE(CV_32S,3) -#define CV_32SC4 CV_MAKETYPE(CV_32S,4) -#define CV_32SC(n) CV_MAKETYPE(CV_32S,(n)) - -#define CV_32FC1 CV_MAKETYPE(CV_32F,1) -#define CV_32FC2 CV_MAKETYPE(CV_32F,2) -#define CV_32FC3 CV_MAKETYPE(CV_32F,3) -#define CV_32FC4 CV_MAKETYPE(CV_32F,4) -#define CV_32FC(n) CV_MAKETYPE(CV_32F,(n)) - -#define CV_64FC1 CV_MAKETYPE(CV_64F,1) -#define CV_64FC2 CV_MAKETYPE(CV_64F,2) -#define CV_64FC3 CV_MAKETYPE(CV_64F,3) -#define CV_64FC4 CV_MAKETYPE(CV_64F,4) -#define CV_64FC(n) CV_MAKETYPE(CV_64F,(n)) - -#define CV_AUTO_STEP 0x7fffffff -#define CV_WHOLE_ARR cvSlice( 0, 0x3fffffff ) - -#define CV_MAT_CN_MASK ((CV_CN_MAX - 1) << CV_CN_SHIFT) -#define CV_MAT_CN(flags) ((((flags) & CV_MAT_CN_MASK) >> CV_CN_SHIFT) + 1) -#define CV_MAT_TYPE_MASK (CV_DEPTH_MAX*CV_CN_MAX - 1) -#define CV_MAT_TYPE(flags) ((flags) & CV_MAT_TYPE_MASK) -#define CV_MAT_CONT_FLAG_SHIFT 14 -#define CV_MAT_CONT_FLAG (1 << CV_MAT_CONT_FLAG_SHIFT) -#define CV_IS_MAT_CONT(flags) ((flags) & CV_MAT_CONT_FLAG) -#define CV_IS_CONT_MAT CV_IS_MAT_CONT -#define CV_SUBMAT_FLAG_SHIFT 15 -#define CV_SUBMAT_FLAG (1 << CV_SUBMAT_FLAG_SHIFT) -#define CV_IS_SUBMAT(flags) ((flags) & CV_MAT_SUBMAT_FLAG) - -#define CV_MAGIC_MASK 0xFFFF0000 -#define CV_MAT_MAGIC_VAL 0x42420000 -#define CV_TYPE_NAME_MAT "opencv-matrix" - -typedef struct CvMat -{ - int type; - int step; - - /* for internal use only */ - int* refcount; - int hdr_refcount; - - union - { - uchar* ptr; - short* s; - int* i; - float* fl; - double* db; - } data; - -#ifdef __cplusplus - union - { - int rows; - int height; - }; - - union - { - int cols; - int width; - }; -#else - int rows; - int cols; -#endif - -} -CvMat; - - -#define CV_IS_MAT_HDR(mat) \ - ((mat) != NULL && \ - (((const CvMat*)(mat))->type & CV_MAGIC_MASK) == CV_MAT_MAGIC_VAL && \ - ((const CvMat*)(mat))->cols > 0 && ((const CvMat*)(mat))->rows > 0) - -#define CV_IS_MAT_HDR_Z(mat) \ - ((mat) != NULL && \ - (((const CvMat*)(mat))->type & CV_MAGIC_MASK) == CV_MAT_MAGIC_VAL && \ - ((const CvMat*)(mat))->cols >= 0 && ((const CvMat*)(mat))->rows >= 0) - -#define CV_IS_MAT(mat) \ - (CV_IS_MAT_HDR(mat) && ((const CvMat*)(mat))->data.ptr != NULL) - -#define CV_IS_MASK_ARR(mat) \ - (((mat)->type & (CV_MAT_TYPE_MASK & ~CV_8SC1)) == 0) - -#define CV_ARE_TYPES_EQ(mat1, mat2) \ - ((((mat1)->type ^ (mat2)->type) & CV_MAT_TYPE_MASK) == 0) - -#define CV_ARE_CNS_EQ(mat1, mat2) \ - ((((mat1)->type ^ (mat2)->type) & CV_MAT_CN_MASK) == 0) - -#define CV_ARE_DEPTHS_EQ(mat1, mat2) \ - ((((mat1)->type ^ (mat2)->type) & CV_MAT_DEPTH_MASK) == 0) - -#define CV_ARE_SIZES_EQ(mat1, mat2) \ - ((mat1)->rows == (mat2)->rows && (mat1)->cols == (mat2)->cols) - -#define CV_IS_MAT_CONST(mat) \ - (((mat)->rows|(mat)->cols) == 1) - -/* Size of each channel item, - 0x124489 = 1000 0100 0100 0010 0010 0001 0001 ~ array of sizeof(arr_type_elem) */ -#define CV_ELEM_SIZE1(type) \ - ((((sizeof(size_t)<<28)|0x8442211) >> CV_MAT_DEPTH(type)*4) & 15) - -/* 0x3a50 = 11 10 10 01 01 00 00 ~ array of log2(sizeof(arr_type_elem)) */ -#define CV_ELEM_SIZE(type) \ - (CV_MAT_CN(type) << ((((sizeof(size_t)/4+1)*16384|0x3a50) >> CV_MAT_DEPTH(type)*2) & 3)) - -#define IPL2CV_DEPTH(depth) \ - ((((CV_8U)+(CV_16U<<4)+(CV_32F<<8)+(CV_64F<<16)+(CV_8S<<20)+ \ - (CV_16S<<24)+(CV_32S<<28)) >> ((((depth) & 0xF0) >> 2) + \ - (((depth) & IPL_DEPTH_SIGN) ? 20 : 0))) & 15) - -/* Inline constructor. No data is allocated internally!!! - * (Use together with cvCreateData, or use cvCreateMat instead to - * get a matrix with allocated data): - */ -CV_INLINE CvMat cvMat( int rows, int cols, int type, void* data CV_DEFAULT(NULL)) -{ - CvMat m; - - assert( (unsigned)CV_MAT_DEPTH(type) <= CV_64F ); - type = CV_MAT_TYPE(type); - m.type = CV_MAT_MAGIC_VAL | CV_MAT_CONT_FLAG | type; - m.cols = cols; - m.rows = rows; - m.step = m.cols*CV_ELEM_SIZE(type); - m.data.ptr = (uchar*)data; - m.refcount = NULL; - m.hdr_refcount = 0; - - return m; -} - - -#define CV_MAT_ELEM_PTR_FAST( mat, row, col, pix_size ) \ - (assert( (unsigned)(row) < (unsigned)(mat).rows && \ - (unsigned)(col) < (unsigned)(mat).cols ), \ - (mat).data.ptr + (size_t)(mat).step*(row) + (pix_size)*(col)) - -#define CV_MAT_ELEM_PTR( mat, row, col ) \ - CV_MAT_ELEM_PTR_FAST( mat, row, col, CV_ELEM_SIZE((mat).type) ) - -#define CV_MAT_ELEM( mat, elemtype, row, col ) \ - (*(elemtype*)CV_MAT_ELEM_PTR_FAST( mat, row, col, sizeof(elemtype))) - - -CV_INLINE double cvmGet( const CvMat* mat, int row, int col ) -{ - int type; - - type = CV_MAT_TYPE(mat->type); - assert( (unsigned)row < (unsigned)mat->rows && - (unsigned)col < (unsigned)mat->cols ); - - if( type == CV_32FC1 ) - return ((float*)(void*)(mat->data.ptr + (size_t)mat->step*row))[col]; - else - { - assert( type == CV_64FC1 ); - return ((double*)(void*)(mat->data.ptr + (size_t)mat->step*row))[col]; - } -} - - -CV_INLINE void cvmSet( CvMat* mat, int row, int col, double value ) -{ - int type; - type = CV_MAT_TYPE(mat->type); - assert( (unsigned)row < (unsigned)mat->rows && - (unsigned)col < (unsigned)mat->cols ); - - if( type == CV_32FC1 ) - ((float*)(void*)(mat->data.ptr + (size_t)mat->step*row))[col] = (float)value; - else - { - assert( type == CV_64FC1 ); - ((double*)(void*)(mat->data.ptr + (size_t)mat->step*row))[col] = value; - } -} - - -CV_INLINE int cvIplDepth( int type ) -{ - int depth = CV_MAT_DEPTH(type); - return CV_ELEM_SIZE1(depth)*8 | (depth == CV_8S || depth == CV_16S || - depth == CV_32S ? IPL_DEPTH_SIGN : 0); -} - - -/****************************************************************************************\ -* Multi-dimensional dense array (CvMatND) * -\****************************************************************************************/ - -#define CV_MATND_MAGIC_VAL 0x42430000 -#define CV_TYPE_NAME_MATND "opencv-nd-matrix" - -#define CV_MAX_DIM 32 -#define CV_MAX_DIM_HEAP 1024 - -typedef struct CvMatND -{ - int type; - int dims; - - int* refcount; - int hdr_refcount; - - union - { - uchar* ptr; - float* fl; - double* db; - int* i; - short* s; - } data; - - struct - { - int size; - int step; - } - dim[CV_MAX_DIM]; -} -CvMatND; - -#define CV_IS_MATND_HDR(mat) \ - ((mat) != NULL && (((const CvMatND*)(mat))->type & CV_MAGIC_MASK) == CV_MATND_MAGIC_VAL) - -#define CV_IS_MATND(mat) \ - (CV_IS_MATND_HDR(mat) && ((const CvMatND*)(mat))->data.ptr != NULL) - - -/****************************************************************************************\ -* Multi-dimensional sparse array (CvSparseMat) * -\****************************************************************************************/ - -#define CV_SPARSE_MAT_MAGIC_VAL 0x42440000 -#define CV_TYPE_NAME_SPARSE_MAT "opencv-sparse-matrix" - -struct CvSet; - -typedef struct CvSparseMat -{ - int type; - int dims; - int* refcount; - int hdr_refcount; - - struct CvSet* heap; - void** hashtable; - int hashsize; - int valoffset; - int idxoffset; - int size[CV_MAX_DIM]; -} -CvSparseMat; - -#define CV_IS_SPARSE_MAT_HDR(mat) \ - ((mat) != NULL && \ - (((const CvSparseMat*)(mat))->type & CV_MAGIC_MASK) == CV_SPARSE_MAT_MAGIC_VAL) - -#define CV_IS_SPARSE_MAT(mat) \ - CV_IS_SPARSE_MAT_HDR(mat) - -/**************** iteration through a sparse array *****************/ - -typedef struct CvSparseNode -{ - unsigned hashval; - struct CvSparseNode* next; -} -CvSparseNode; - -typedef struct CvSparseMatIterator -{ - CvSparseMat* mat; - CvSparseNode* node; - int curidx; -} -CvSparseMatIterator; - -#define CV_NODE_VAL(mat,node) ((void*)((uchar*)(node) + (mat)->valoffset)) -#define CV_NODE_IDX(mat,node) ((int*)((uchar*)(node) + (mat)->idxoffset)) - -/****************************************************************************************\ -* Histogram * -\****************************************************************************************/ - -typedef int CvHistType; - -#define CV_HIST_MAGIC_VAL 0x42450000 -#define CV_HIST_UNIFORM_FLAG (1 << 10) - -/* indicates whether bin ranges are set already or not */ -#define CV_HIST_RANGES_FLAG (1 << 11) - -#define CV_HIST_ARRAY 0 -#define CV_HIST_SPARSE 1 -#define CV_HIST_TREE CV_HIST_SPARSE - -/* should be used as a parameter only, - it turns to CV_HIST_UNIFORM_FLAG of hist->type */ -#define CV_HIST_UNIFORM 1 - -typedef struct CvHistogram -{ - int type; - CvArr* bins; - float thresh[CV_MAX_DIM][2]; /* For uniform histograms. */ - float** thresh2; /* For non-uniform histograms. */ - CvMatND mat; /* Embedded matrix header for array histograms. */ -} -CvHistogram; - -#define CV_IS_HIST( hist ) \ - ((hist) != NULL && \ - (((CvHistogram*)(hist))->type & CV_MAGIC_MASK) == CV_HIST_MAGIC_VAL && \ - (hist)->bins != NULL) - -#define CV_IS_UNIFORM_HIST( hist ) \ - (((hist)->type & CV_HIST_UNIFORM_FLAG) != 0) - -#define CV_IS_SPARSE_HIST( hist ) \ - CV_IS_SPARSE_MAT((hist)->bins) - -#define CV_HIST_HAS_RANGES( hist ) \ - (((hist)->type & CV_HIST_RANGES_FLAG) != 0) - -/****************************************************************************************\ -* Other supplementary data type definitions * -\****************************************************************************************/ - -/*************************************** CvRect *****************************************/ - -typedef struct CvRect -{ - int x; - int y; - int width; - int height; -} -CvRect; - -CV_INLINE CvRect cvRect( int x, int y, int width, int height ) -{ - CvRect r; - - r.x = x; - r.y = y; - r.width = width; - r.height = height; - - return r; -} - - -CV_INLINE IplROI cvRectToROI( CvRect rect, int coi ) -{ - IplROI roi; - roi.xOffset = rect.x; - roi.yOffset = rect.y; - roi.width = rect.width; - roi.height = rect.height; - roi.coi = coi; - - return roi; -} - - -CV_INLINE CvRect cvROIToRect( IplROI roi ) -{ - return cvRect( roi.xOffset, roi.yOffset, roi.width, roi.height ); -} - -/*********************************** CvTermCriteria *************************************/ - -#define CV_TERMCRIT_ITER 1 -#define CV_TERMCRIT_NUMBER CV_TERMCRIT_ITER -#define CV_TERMCRIT_EPS 2 - -typedef struct CvTermCriteria -{ - int type; /* may be combination of - CV_TERMCRIT_ITER - CV_TERMCRIT_EPS */ - int max_iter; - double epsilon; -} -CvTermCriteria; - -CV_INLINE CvTermCriteria cvTermCriteria( int type, int max_iter, double epsilon ) -{ - CvTermCriteria t; - - t.type = type; - t.max_iter = max_iter; - t.epsilon = (float)epsilon; - - return t; -} - - -/******************************* CvPoint and variants ***********************************/ - -typedef struct CvPoint -{ - int x; - int y; -} -CvPoint; - - -CV_INLINE CvPoint cvPoint( int x, int y ) -{ - CvPoint p; - - p.x = x; - p.y = y; - - return p; -} - - -typedef struct CvPoint2D32f -{ - float x; - float y; -} -CvPoint2D32f; - - -CV_INLINE CvPoint2D32f cvPoint2D32f( double x, double y ) -{ - CvPoint2D32f p; - - p.x = (float)x; - p.y = (float)y; - - return p; -} - - -CV_INLINE CvPoint2D32f cvPointTo32f( CvPoint point ) -{ - return cvPoint2D32f( (float)point.x, (float)point.y ); -} - - -CV_INLINE CvPoint cvPointFrom32f( CvPoint2D32f point ) -{ - CvPoint ipt; - ipt.x = cvRound(point.x); - ipt.y = cvRound(point.y); - - return ipt; -} - - -typedef struct CvPoint3D32f -{ - float x; - float y; - float z; -} -CvPoint3D32f; - - -CV_INLINE CvPoint3D32f cvPoint3D32f( double x, double y, double z ) -{ - CvPoint3D32f p; - - p.x = (float)x; - p.y = (float)y; - p.z = (float)z; - - return p; -} - - -typedef struct CvPoint2D64f -{ - double x; - double y; -} -CvPoint2D64f; - - -CV_INLINE CvPoint2D64f cvPoint2D64f( double x, double y ) -{ - CvPoint2D64f p; - - p.x = x; - p.y = y; - - return p; -} - - -typedef struct CvPoint3D64f -{ - double x; - double y; - double z; -} -CvPoint3D64f; - - -CV_INLINE CvPoint3D64f cvPoint3D64f( double x, double y, double z ) -{ - CvPoint3D64f p; - - p.x = x; - p.y = y; - p.z = z; - - return p; -} - - -/******************************** CvSize's & CvBox **************************************/ - -typedef struct CvSize -{ - int width; - int height; -} -CvSize; - -CV_INLINE CvSize cvSize( int width, int height ) -{ - CvSize s; - - s.width = width; - s.height = height; - - return s; -} - -typedef struct CvSize2D32f -{ - float width; - float height; -} -CvSize2D32f; - - -CV_INLINE CvSize2D32f cvSize2D32f( double width, double height ) -{ - CvSize2D32f s; - - s.width = (float)width; - s.height = (float)height; - - return s; -} - -typedef struct CvBox2D -{ - CvPoint2D32f center; /* Center of the box. */ - CvSize2D32f size; /* Box width and length. */ - float angle; /* Angle between the horizontal axis */ - /* and the first side (i.e. length) in degrees */ -} -CvBox2D; - - -/* Line iterator state: */ -typedef struct CvLineIterator -{ - /* Pointer to the current point: */ - uchar* ptr; - - /* Bresenham algorithm state: */ - int err; - int plus_delta; - int minus_delta; - int plus_step; - int minus_step; -} -CvLineIterator; - - - -/************************************* CvSlice ******************************************/ - -typedef struct CvSlice -{ - int start_index, end_index; -} -CvSlice; - -CV_INLINE CvSlice cvSlice( int start, int end ) -{ - CvSlice slice; - slice.start_index = start; - slice.end_index = end; - - return slice; -} - -#define CV_WHOLE_SEQ_END_INDEX 0x3fffffff -#define CV_WHOLE_SEQ cvSlice(0, CV_WHOLE_SEQ_END_INDEX) - - -/************************************* CvScalar *****************************************/ - -typedef struct CvScalar -{ - double val[4]; -} -CvScalar; - -CV_INLINE CvScalar cvScalar( double val0, double val1 CV_DEFAULT(0), - double val2 CV_DEFAULT(0), double val3 CV_DEFAULT(0)) -{ - CvScalar scalar; - scalar.val[0] = val0; scalar.val[1] = val1; - scalar.val[2] = val2; scalar.val[3] = val3; - return scalar; -} - - -CV_INLINE CvScalar cvRealScalar( double val0 ) -{ - CvScalar scalar; - scalar.val[0] = val0; - scalar.val[1] = scalar.val[2] = scalar.val[3] = 0; - return scalar; -} - -CV_INLINE CvScalar cvScalarAll( double val0123 ) -{ - CvScalar scalar; - scalar.val[0] = val0123; - scalar.val[1] = val0123; - scalar.val[2] = val0123; - scalar.val[3] = val0123; - return scalar; -} - -/****************************************************************************************\ -* Dynamic Data structures * -\****************************************************************************************/ - -/******************************** Memory storage ****************************************/ - -typedef struct CvMemBlock -{ - struct CvMemBlock* prev; - struct CvMemBlock* next; -} -CvMemBlock; - -#define CV_STORAGE_MAGIC_VAL 0x42890000 - -typedef struct CvMemStorage -{ - int signature; - CvMemBlock* bottom; /* First allocated block. */ - CvMemBlock* top; /* Current memory block - top of the stack. */ - struct CvMemStorage* parent; /* We get new blocks from parent as needed. */ - int block_size; /* Block size. */ - int free_space; /* Remaining free space in current block. */ -} -CvMemStorage; - -#define CV_IS_STORAGE(storage) \ - ((storage) != NULL && \ - (((CvMemStorage*)(storage))->signature & CV_MAGIC_MASK) == CV_STORAGE_MAGIC_VAL) - - -typedef struct CvMemStoragePos -{ - CvMemBlock* top; - int free_space; -} -CvMemStoragePos; - - -/*********************************** Sequence *******************************************/ - -typedef struct CvSeqBlock -{ - struct CvSeqBlock* prev; /* Previous sequence block. */ - struct CvSeqBlock* next; /* Next sequence block. */ - int start_index; /* Index of the first element in the block + */ - /* sequence->first->start_index. */ - int count; /* Number of elements in the block. */ - schar* data; /* Pointer to the first element of the block. */ -} -CvSeqBlock; - - -#define CV_TREE_NODE_FIELDS(node_type) \ - int flags; /* Miscellaneous flags. */ \ - int header_size; /* Size of sequence header. */ \ - struct node_type* h_prev; /* Previous sequence. */ \ - struct node_type* h_next; /* Next sequence. */ \ - struct node_type* v_prev; /* 2nd previous sequence. */ \ - struct node_type* v_next /* 2nd next sequence. */ - -/* - Read/Write sequence. - Elements can be dynamically inserted to or deleted from the sequence. -*/ -#define CV_SEQUENCE_FIELDS() \ - CV_TREE_NODE_FIELDS(CvSeq); \ - int total; /* Total number of elements. */ \ - int elem_size; /* Size of sequence element in bytes. */ \ - schar* block_max; /* Maximal bound of the last block. */ \ - schar* ptr; /* Current write pointer. */ \ - int delta_elems; /* Grow seq this many at a time. */ \ - CvMemStorage* storage; /* Where the seq is stored. */ \ - CvSeqBlock* free_blocks; /* Free blocks list. */ \ - CvSeqBlock* first; /* Pointer to the first sequence block. */ - -typedef struct CvSeq -{ - CV_SEQUENCE_FIELDS() -} -CvSeq; - -#define CV_TYPE_NAME_SEQ "opencv-sequence" -#define CV_TYPE_NAME_SEQ_TREE "opencv-sequence-tree" - -/*************************************** Set ********************************************/ -/* - Set. - Order is not preserved. There can be gaps between sequence elements. - After the element has been inserted it stays in the same place all the time. - The MSB(most-significant or sign bit) of the first field (flags) is 0 iff the element exists. -*/ -#define CV_SET_ELEM_FIELDS(elem_type) \ - int flags; \ - struct elem_type* next_free; - -typedef struct CvSetElem -{ - CV_SET_ELEM_FIELDS(CvSetElem) -} -CvSetElem; - -#define CV_SET_FIELDS() \ - CV_SEQUENCE_FIELDS() \ - CvSetElem* free_elems; \ - int active_count; - -typedef struct CvSet -{ - CV_SET_FIELDS() -} -CvSet; - - -#define CV_SET_ELEM_IDX_MASK ((1 << 26) - 1) -#define CV_SET_ELEM_FREE_FLAG (1 << (sizeof(int)*8-1)) - -/* Checks whether the element pointed by ptr belongs to a set or not */ -#define CV_IS_SET_ELEM( ptr ) (((CvSetElem*)(ptr))->flags >= 0) - -/************************************* Graph ********************************************/ - -/* - We represent a graph as a set of vertices. - Vertices contain their adjacency lists (more exactly, pointers to first incoming or - outcoming edge (or 0 if isolated vertex)). Edges are stored in another set. - There is a singly-linked list of incoming/outcoming edges for each vertex. - - Each edge consists of - - o Two pointers to the starting and ending vertices - (vtx[0] and vtx[1] respectively). - - A graph may be oriented or not. In the latter case, edges between - vertex i to vertex j are not distinguished during search operations. - - o Two pointers to next edges for the starting and ending vertices, where - next[0] points to the next edge in the vtx[0] adjacency list and - next[1] points to the next edge in the vtx[1] adjacency list. -*/ -#define CV_GRAPH_EDGE_FIELDS() \ - int flags; \ - float weight; \ - struct CvGraphEdge* next[2]; \ - struct CvGraphVtx* vtx[2]; - - -#define CV_GRAPH_VERTEX_FIELDS() \ - int flags; \ - struct CvGraphEdge* first; - - -typedef struct CvGraphEdge -{ - CV_GRAPH_EDGE_FIELDS() -} -CvGraphEdge; - -typedef struct CvGraphVtx -{ - CV_GRAPH_VERTEX_FIELDS() -} -CvGraphVtx; - -typedef struct CvGraphVtx2D -{ - CV_GRAPH_VERTEX_FIELDS() - CvPoint2D32f* ptr; -} -CvGraphVtx2D; - -/* - Graph is "derived" from the set (this is set a of vertices) - and includes another set (edges) -*/ -#define CV_GRAPH_FIELDS() \ - CV_SET_FIELDS() \ - CvSet* edges; - -typedef struct CvGraph -{ - CV_GRAPH_FIELDS() -} -CvGraph; - -#define CV_TYPE_NAME_GRAPH "opencv-graph" - -/*********************************** Chain/Countour *************************************/ - -typedef struct CvChain -{ - CV_SEQUENCE_FIELDS() - CvPoint origin; -} -CvChain; - -#define CV_CONTOUR_FIELDS() \ - CV_SEQUENCE_FIELDS() \ - CvRect rect; \ - int color; \ - int reserved[3]; - -typedef struct CvContour -{ - CV_CONTOUR_FIELDS() -} -CvContour; - -typedef CvContour CvPoint2DSeq; - -/****************************************************************************************\ -* Sequence types * -\****************************************************************************************/ - -#define CV_SEQ_MAGIC_VAL 0x42990000 - -#define CV_IS_SEQ(seq) \ - ((seq) != NULL && (((CvSeq*)(seq))->flags & CV_MAGIC_MASK) == CV_SEQ_MAGIC_VAL) - -#define CV_SET_MAGIC_VAL 0x42980000 -#define CV_IS_SET(set) \ - ((set) != NULL && (((CvSeq*)(set))->flags & CV_MAGIC_MASK) == CV_SET_MAGIC_VAL) - -#define CV_SEQ_ELTYPE_BITS 12 -#define CV_SEQ_ELTYPE_MASK ((1 << CV_SEQ_ELTYPE_BITS) - 1) - -#define CV_SEQ_ELTYPE_POINT CV_32SC2 /* (x,y) */ -#define CV_SEQ_ELTYPE_CODE CV_8UC1 /* freeman code: 0..7 */ -#define CV_SEQ_ELTYPE_GENERIC 0 -#define CV_SEQ_ELTYPE_PTR CV_USRTYPE1 -#define CV_SEQ_ELTYPE_PPOINT CV_SEQ_ELTYPE_PTR /* &(x,y) */ -#define CV_SEQ_ELTYPE_INDEX CV_32SC1 /* #(x,y) */ -#define CV_SEQ_ELTYPE_GRAPH_EDGE 0 /* &next_o, &next_d, &vtx_o, &vtx_d */ -#define CV_SEQ_ELTYPE_GRAPH_VERTEX 0 /* first_edge, &(x,y) */ -#define CV_SEQ_ELTYPE_TRIAN_ATR 0 /* vertex of the binary tree */ -#define CV_SEQ_ELTYPE_CONNECTED_COMP 0 /* connected component */ -#define CV_SEQ_ELTYPE_POINT3D CV_32FC3 /* (x,y,z) */ - -#define CV_SEQ_KIND_BITS 2 -#define CV_SEQ_KIND_MASK (((1 << CV_SEQ_KIND_BITS) - 1)<flags & CV_SEQ_ELTYPE_MASK) -#define CV_SEQ_KIND( seq ) ((seq)->flags & CV_SEQ_KIND_MASK ) - -/* flag checking */ -#define CV_IS_SEQ_INDEX( seq ) ((CV_SEQ_ELTYPE(seq) == CV_SEQ_ELTYPE_INDEX) && \ - (CV_SEQ_KIND(seq) == CV_SEQ_KIND_GENERIC)) - -#define CV_IS_SEQ_CURVE( seq ) (CV_SEQ_KIND(seq) == CV_SEQ_KIND_CURVE) -#define CV_IS_SEQ_CLOSED( seq ) (((seq)->flags & CV_SEQ_FLAG_CLOSED) != 0) -#define CV_IS_SEQ_CONVEX( seq ) 0 -#define CV_IS_SEQ_HOLE( seq ) (((seq)->flags & CV_SEQ_FLAG_HOLE) != 0) -#define CV_IS_SEQ_SIMPLE( seq ) 1 - -/* type checking macros */ -#define CV_IS_SEQ_POINT_SET( seq ) \ - ((CV_SEQ_ELTYPE(seq) == CV_32SC2 || CV_SEQ_ELTYPE(seq) == CV_32FC2)) - -#define CV_IS_SEQ_POINT_SUBSET( seq ) \ - (CV_IS_SEQ_INDEX( seq ) || CV_SEQ_ELTYPE(seq) == CV_SEQ_ELTYPE_PPOINT) - -#define CV_IS_SEQ_POLYLINE( seq ) \ - (CV_SEQ_KIND(seq) == CV_SEQ_KIND_CURVE && CV_IS_SEQ_POINT_SET(seq)) - -#define CV_IS_SEQ_POLYGON( seq ) \ - (CV_IS_SEQ_POLYLINE(seq) && CV_IS_SEQ_CLOSED(seq)) - -#define CV_IS_SEQ_CHAIN( seq ) \ - (CV_SEQ_KIND(seq) == CV_SEQ_KIND_CURVE && (seq)->elem_size == 1) - -#define CV_IS_SEQ_CONTOUR( seq ) \ - (CV_IS_SEQ_CLOSED(seq) && (CV_IS_SEQ_POLYLINE(seq) || CV_IS_SEQ_CHAIN(seq))) - -#define CV_IS_SEQ_CHAIN_CONTOUR( seq ) \ - (CV_IS_SEQ_CHAIN( seq ) && CV_IS_SEQ_CLOSED( seq )) - -#define CV_IS_SEQ_POLYGON_TREE( seq ) \ - (CV_SEQ_ELTYPE (seq) == CV_SEQ_ELTYPE_TRIAN_ATR && \ - CV_SEQ_KIND( seq ) == CV_SEQ_KIND_BIN_TREE ) - -#define CV_IS_GRAPH( seq ) \ - (CV_IS_SET(seq) && CV_SEQ_KIND((CvSet*)(seq)) == CV_SEQ_KIND_GRAPH) - -#define CV_IS_GRAPH_ORIENTED( seq ) \ - (((seq)->flags & CV_GRAPH_FLAG_ORIENTED) != 0) - -#define CV_IS_SUBDIV2D( seq ) \ - (CV_IS_SET(seq) && CV_SEQ_KIND((CvSet*)(seq)) == CV_SEQ_KIND_SUBDIV2D) - -/****************************************************************************************/ -/* Sequence writer & reader */ -/****************************************************************************************/ - -#define CV_SEQ_WRITER_FIELDS() \ - int header_size; \ - CvSeq* seq; /* the sequence written */ \ - CvSeqBlock* block; /* current block */ \ - schar* ptr; /* pointer to free space */ \ - schar* block_min; /* pointer to the beginning of block*/\ - schar* block_max; /* pointer to the end of block */ - -typedef struct CvSeqWriter -{ - CV_SEQ_WRITER_FIELDS() -} -CvSeqWriter; - - -#define CV_SEQ_READER_FIELDS() \ - int header_size; \ - CvSeq* seq; /* sequence, beign read */ \ - CvSeqBlock* block; /* current block */ \ - schar* ptr; /* pointer to element be read next */ \ - schar* block_min; /* pointer to the beginning of block */\ - schar* block_max; /* pointer to the end of block */ \ - int delta_index;/* = seq->first->start_index */ \ - schar* prev_elem; /* pointer to previous element */ - - -typedef struct CvSeqReader -{ - CV_SEQ_READER_FIELDS() -} -CvSeqReader; - -/****************************************************************************************/ -/* Operations on sequences */ -/****************************************************************************************/ - -#define CV_SEQ_ELEM( seq, elem_type, index ) \ -/* assert gives some guarantee that parameter is valid */ \ -( assert(sizeof((seq)->first[0]) == sizeof(CvSeqBlock) && \ - (seq)->elem_size == sizeof(elem_type)), \ - (elem_type*)((seq)->first && (unsigned)index < \ - (unsigned)((seq)->first->count) ? \ - (seq)->first->data + (index) * sizeof(elem_type) : \ - cvGetSeqElem( (CvSeq*)(seq), (index) ))) -#define CV_GET_SEQ_ELEM( elem_type, seq, index ) CV_SEQ_ELEM( (seq), elem_type, (index) ) - -/* Add element to sequence: */ -#define CV_WRITE_SEQ_ELEM_VAR( elem_ptr, writer ) \ -{ \ - if( (writer).ptr >= (writer).block_max ) \ - { \ - cvCreateSeqBlock( &writer); \ - } \ - memcpy((writer).ptr, elem_ptr, (writer).seq->elem_size);\ - (writer).ptr += (writer).seq->elem_size; \ -} - -#define CV_WRITE_SEQ_ELEM( elem, writer ) \ -{ \ - assert( (writer).seq->elem_size == sizeof(elem)); \ - if( (writer).ptr >= (writer).block_max ) \ - { \ - cvCreateSeqBlock( &writer); \ - } \ - assert( (writer).ptr <= (writer).block_max - sizeof(elem));\ - memcpy((writer).ptr, &(elem), sizeof(elem)); \ - (writer).ptr += sizeof(elem); \ -} - - -/* Move reader position forward: */ -#define CV_NEXT_SEQ_ELEM( elem_size, reader ) \ -{ \ - if( ((reader).ptr += (elem_size)) >= (reader).block_max ) \ - { \ - cvChangeSeqBlock( &(reader), 1 ); \ - } \ -} - - -/* Move reader position backward: */ -#define CV_PREV_SEQ_ELEM( elem_size, reader ) \ -{ \ - if( ((reader).ptr -= (elem_size)) < (reader).block_min ) \ - { \ - cvChangeSeqBlock( &(reader), -1 ); \ - } \ -} - -/* Read element and move read position forward: */ -#define CV_READ_SEQ_ELEM( elem, reader ) \ -{ \ - assert( (reader).seq->elem_size == sizeof(elem)); \ - memcpy( &(elem), (reader).ptr, sizeof((elem))); \ - CV_NEXT_SEQ_ELEM( sizeof(elem), reader ) \ -} - -/* Read element and move read position backward: */ -#define CV_REV_READ_SEQ_ELEM( elem, reader ) \ -{ \ - assert( (reader).seq->elem_size == sizeof(elem)); \ - memcpy(&(elem), (reader).ptr, sizeof((elem))); \ - CV_PREV_SEQ_ELEM( sizeof(elem), reader ) \ -} - - -#define CV_READ_CHAIN_POINT( _pt, reader ) \ -{ \ - (_pt) = (reader).pt; \ - if( (reader).ptr ) \ - { \ - CV_READ_SEQ_ELEM( (reader).code, (reader)); \ - assert( ((reader).code & ~7) == 0 ); \ - (reader).pt.x += (reader).deltas[(int)(reader).code][0]; \ - (reader).pt.y += (reader).deltas[(int)(reader).code][1]; \ - } \ -} - -#define CV_CURRENT_POINT( reader ) (*((CvPoint*)((reader).ptr))) -#define CV_PREV_POINT( reader ) (*((CvPoint*)((reader).prev_elem))) - -#define CV_READ_EDGE( pt1, pt2, reader ) \ -{ \ - assert( sizeof(pt1) == sizeof(CvPoint) && \ - sizeof(pt2) == sizeof(CvPoint) && \ - reader.seq->elem_size == sizeof(CvPoint)); \ - (pt1) = CV_PREV_POINT( reader ); \ - (pt2) = CV_CURRENT_POINT( reader ); \ - (reader).prev_elem = (reader).ptr; \ - CV_NEXT_SEQ_ELEM( sizeof(CvPoint), (reader)); \ -} - -/************ Graph macros ************/ - -/* Return next graph edge for given vertex: */ -#define CV_NEXT_GRAPH_EDGE( edge, vertex ) \ - (assert((edge)->vtx[0] == (vertex) || (edge)->vtx[1] == (vertex)), \ - (edge)->next[(edge)->vtx[1] == (vertex)]) - - - -/****************************************************************************************\ -* Data structures for persistence (a.k.a serialization) functionality * -\****************************************************************************************/ - -/* "black box" file storage */ -typedef struct CvFileStorage CvFileStorage; - -/* Storage flags: */ -#define CV_STORAGE_READ 0 -#define CV_STORAGE_WRITE 1 -#define CV_STORAGE_WRITE_TEXT CV_STORAGE_WRITE -#define CV_STORAGE_WRITE_BINARY CV_STORAGE_WRITE -#define CV_STORAGE_APPEND 2 -#define CV_STORAGE_MEMORY 4 -#define CV_STORAGE_FORMAT_MASK (7<<3) -#define CV_STORAGE_FORMAT_AUTO 0 -#define CV_STORAGE_FORMAT_XML 8 -#define CV_STORAGE_FORMAT_YAML 16 - -/* List of attributes: */ -typedef struct CvAttrList -{ - const char** attr; /* NULL-terminated array of (attribute_name,attribute_value) pairs. */ - struct CvAttrList* next; /* Pointer to next chunk of the attributes list. */ -} -CvAttrList; - -CV_INLINE CvAttrList cvAttrList( const char** attr CV_DEFAULT(NULL), - CvAttrList* next CV_DEFAULT(NULL) ) -{ - CvAttrList l; - l.attr = attr; - l.next = next; - - return l; -} - -struct CvTypeInfo; - -#define CV_NODE_NONE 0 -#define CV_NODE_INT 1 -#define CV_NODE_INTEGER CV_NODE_INT -#define CV_NODE_REAL 2 -#define CV_NODE_FLOAT CV_NODE_REAL -#define CV_NODE_STR 3 -#define CV_NODE_STRING CV_NODE_STR -#define CV_NODE_REF 4 /* not used */ -#define CV_NODE_SEQ 5 -#define CV_NODE_MAP 6 -#define CV_NODE_TYPE_MASK 7 - -#define CV_NODE_TYPE(flags) ((flags) & CV_NODE_TYPE_MASK) - -/* file node flags */ -#define CV_NODE_FLOW 8 /* Used only for writing structures in YAML format. */ -#define CV_NODE_USER 16 -#define CV_NODE_EMPTY 32 -#define CV_NODE_NAMED 64 - -#define CV_NODE_IS_INT(flags) (CV_NODE_TYPE(flags) == CV_NODE_INT) -#define CV_NODE_IS_REAL(flags) (CV_NODE_TYPE(flags) == CV_NODE_REAL) -#define CV_NODE_IS_STRING(flags) (CV_NODE_TYPE(flags) == CV_NODE_STRING) -#define CV_NODE_IS_SEQ(flags) (CV_NODE_TYPE(flags) == CV_NODE_SEQ) -#define CV_NODE_IS_MAP(flags) (CV_NODE_TYPE(flags) == CV_NODE_MAP) -#define CV_NODE_IS_COLLECTION(flags) (CV_NODE_TYPE(flags) >= CV_NODE_SEQ) -#define CV_NODE_IS_FLOW(flags) (((flags) & CV_NODE_FLOW) != 0) -#define CV_NODE_IS_EMPTY(flags) (((flags) & CV_NODE_EMPTY) != 0) -#define CV_NODE_IS_USER(flags) (((flags) & CV_NODE_USER) != 0) -#define CV_NODE_HAS_NAME(flags) (((flags) & CV_NODE_NAMED) != 0) - -#define CV_NODE_SEQ_SIMPLE 256 -#define CV_NODE_SEQ_IS_SIMPLE(seq) (((seq)->flags & CV_NODE_SEQ_SIMPLE) != 0) - -typedef struct CvString -{ - int len; - char* ptr; -} -CvString; - -/* All the keys (names) of elements in the readed file storage - are stored in the hash to speed up the lookup operations: */ -typedef struct CvStringHashNode -{ - unsigned hashval; - CvString str; - struct CvStringHashNode* next; -} -CvStringHashNode; - -typedef struct CvGenericHash CvFileNodeHash; - -/* Basic element of the file storage - scalar or collection: */ -typedef struct CvFileNode -{ - int tag; - struct CvTypeInfo* info; /* type information - (only for user-defined object, for others it is 0) */ - union - { - double f; /* scalar floating-point number */ - int i; /* scalar integer number */ - CvString str; /* text string */ - CvSeq* seq; /* sequence (ordered collection of file nodes) */ - CvFileNodeHash* map; /* map (collection of named file nodes) */ - } data; -} -CvFileNode; - -#ifdef __cplusplus -extern "C" { -#endif -typedef int (CV_CDECL *CvIsInstanceFunc)( const void* struct_ptr ); -typedef void (CV_CDECL *CvReleaseFunc)( void** struct_dblptr ); -typedef void* (CV_CDECL *CvReadFunc)( CvFileStorage* storage, CvFileNode* node ); -typedef void (CV_CDECL *CvWriteFunc)( CvFileStorage* storage, const char* name, - const void* struct_ptr, CvAttrList attributes ); -typedef void* (CV_CDECL *CvCloneFunc)( const void* struct_ptr ); -#ifdef __cplusplus -} -#endif - -typedef struct CvTypeInfo -{ - int flags; - int header_size; - struct CvTypeInfo* prev; - struct CvTypeInfo* next; - const char* type_name; - CvIsInstanceFunc is_instance; - CvReleaseFunc release; - CvReadFunc read; - CvWriteFunc write; - CvCloneFunc clone; -} -CvTypeInfo; - - -/**** System data types ******/ - -typedef struct CvPluginFuncInfo -{ - void** func_addr; - void* default_func_addr; - const char* func_names; - int search_modules; - int loaded_from; -} -CvPluginFuncInfo; - -typedef struct CvModuleInfo -{ - struct CvModuleInfo* next; - const char* name; - const char* version; - CvPluginFuncInfo* func_tab; -} -CvModuleInfo; - -#endif /*__OPENCV_CORE_TYPES_H__*/ - -/* End of file. */ diff --git a/phonelibs/opencv/include/opencv2/core/version.hpp b/phonelibs/opencv/include/opencv2/core/version.hpp deleted file mode 100644 index 05566148d7..0000000000 --- a/phonelibs/opencv/include/opencv2/core/version.hpp +++ /dev/null @@ -1,72 +0,0 @@ -/*M/////////////////////////////////////////////////////////////////////////////////////// -// -// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING. -// -// By downloading, copying, installing or using the software you agree to this license. -// If you do not agree to this license, do not download, install, -// copy or use the software. -// -// -// Intel License Agreement -// For Open Source Computer Vision Library -// -// Copyright( C) 2000, Intel Corporation, all rights reserved. -// Third party copyrights are property of their respective owners. -// -// Redistribution and use in source and binary forms, with or without modification, -// are permitted provided that the following conditions are met: -// -// * Redistribution's of source code must retain the above copyright notice, -// this list of conditions and the following disclaimer. -// -// * Redistribution's in binary form must reproduce the above copyright notice, -// this list of conditions and the following disclaimer in the documentation -// and/or other materials provided with the distribution. -// -// * The name of Intel Corporation may not be used to endorse or promote products -// derived from this software without specific prior written permission. -// -// This software is provided by the copyright holders and contributors "as is" and -// any express or implied warranties, including, but not limited to, the implied -// warranties of merchantability and fitness for a particular purpose are disclaimed. -// In no event shall the Intel Corporation or contributors be liable for any direct, -// indirect, incidental, special, exemplary, or consequential damages -//(including, but not limited to, procurement of substitute goods or services; -// loss of use, data, or profits; or business interruption) however caused -// and on any theory of liability, whether in contract, strict liability, -// or tort(including negligence or otherwise) arising in any way out of -// the use of this software, even if advised of the possibility of such damage. -// -//M*/ - -/* - definition of the current version of OpenCV - Usefull to test in user programs -*/ - -#ifndef __OPENCV_VERSION_HPP__ -#define __OPENCV_VERSION_HPP__ - -#define CV_VERSION_EPOCH 2 -#define CV_VERSION_MAJOR 4 -#define CV_VERSION_MINOR 13 -#define CV_VERSION_REVISION 6 - -#define CVAUX_STR_EXP(__A) #__A -#define CVAUX_STR(__A) CVAUX_STR_EXP(__A) - -#define CVAUX_STRW_EXP(__A) L ## #__A -#define CVAUX_STRW(__A) CVAUX_STRW_EXP(__A) - -#if CV_VERSION_REVISION -# define CV_VERSION CVAUX_STR(CV_VERSION_EPOCH) "." CVAUX_STR(CV_VERSION_MAJOR) "." CVAUX_STR(CV_VERSION_MINOR) "." CVAUX_STR(CV_VERSION_REVISION) -#else -# define CV_VERSION CVAUX_STR(CV_VERSION_EPOCH) "." CVAUX_STR(CV_VERSION_MAJOR) "." CVAUX_STR(CV_VERSION_MINOR) -#endif - -/* old style version constants*/ -#define CV_MAJOR_VERSION CV_VERSION_EPOCH -#define CV_MINOR_VERSION CV_VERSION_MAJOR -#define CV_SUBMINOR_VERSION CV_VERSION_MINOR - -#endif diff --git a/phonelibs/opencv/include/opencv2/core/wimage.hpp b/phonelibs/opencv/include/opencv2/core/wimage.hpp deleted file mode 100644 index c7afa8c5de..0000000000 --- a/phonelibs/opencv/include/opencv2/core/wimage.hpp +++ /dev/null @@ -1,621 +0,0 @@ -/////////////////////////////////////////////////////////////////////////////// -// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING. -// -// By downloading, copying, installing or using the software you agree to -// this license. If you do not agree to this license, do not download, -// install, copy or use the software. -// -// License Agreement -// For Open Source Computer Vision Library -// -// Copyright (C) 2008, Google, all rights reserved. -// Third party copyrights are property of their respective owners. -// -// Redistribution and use in source and binary forms, with or without -// modification, are permitted provided that the following conditions are met: -// -// * Redistribution's of source code must retain the above copyright notice, -// this list of conditions and the following disclaimer. -// -// * Redistribution's in binary form must reproduce the above copyright notice, -// this list of conditions and the following disclaimer in the documentation -// and/or other materials provided with the distribution. -// -// * The name of Intel Corporation or contributors may not be used to endorse -// or promote products derived from this software without specific -// prior written permission. -// -// This software is provided by the copyright holders and contributors "as is" -// and any express or implied warranties, including, but not limited to, the -// implied warranties of merchantability and fitness for a particular purpose -// are disclaimed. In no event shall the Intel Corporation or contributors be -// liable for any direct, indirect, incidental, special, exemplary, or -// consequential damages -// (including, but not limited to, procurement of substitute goods or services; -// loss of use, data, or profits; or business interruption) however caused -// and on any theory of liability, whether in contract, strict liability, -// or tort (including negligence or otherwise) arising in any way out of -// the use of this software, even if advised of the possibility of such damage. - - -///////////////////////////////////////////////////////////////////////////////// -// -// Image class which provides a thin layer around an IplImage. The goals -// of the class design are: -// 1. All the data has explicit ownership to avoid memory leaks -// 2. No hidden allocations or copies for performance. -// 3. Easy access to OpenCV methods (which will access IPP if available) -// 4. Can easily treat external data as an image -// 5. Easy to create images which are subsets of other images -// 6. Fast pixel access which can take advantage of number of channels -// if known at compile time. -// -// The WImage class is the image class which provides the data accessors. -// The 'W' comes from the fact that it is also a wrapper around the popular -// but inconvenient IplImage class. A WImage can be constructed either using a -// WImageBuffer class which allocates and frees the data, -// or using a WImageView class which constructs a subimage or a view into -// external data. The view class does no memory management. Each class -// actually has two versions, one when the number of channels is known at -// compile time and one when it isn't. Using the one with the number of -// channels specified can provide some compile time optimizations by using the -// fact that the number of channels is a constant. -// -// We use the convention (c,r) to refer to column c and row r with (0,0) being -// the upper left corner. This is similar to standard Euclidean coordinates -// with the first coordinate varying in the horizontal direction and the second -// coordinate varying in the vertical direction. -// Thus (c,r) is usually in the domain [0, width) X [0, height) -// -// Example usage: -// WImageBuffer3_b im(5,7); // Make a 5X7 3 channel image of type uchar -// WImageView3_b sub_im(im, 2,2, 3,3); // 3X3 submatrix -// vector vec(10, 3.0f); -// WImageView1_f user_im(&vec[0], 2, 5); // 2X5 image w/ supplied data -// -// im.SetZero(); // same as cvSetZero(im.Ipl()) -// *im(2, 3) = 15; // Modify the element at column 2, row 3 -// MySetRand(&sub_im); -// -// // Copy the second row into the first. This can be done with no memory -// // allocation and will use SSE if IPP is available. -// int w = im.Width(); -// im.View(0,0, w,1).CopyFrom(im.View(0,1, w,1)); -// -// // Doesn't care about source of data since using WImage -// void MySetRand(WImage_b* im) { // Works with any number of channels -// for (int r = 0; r < im->Height(); ++r) { -// float* row = im->Row(r); -// for (int c = 0; c < im->Width(); ++c) { -// for (int ch = 0; ch < im->Channels(); ++ch, ++row) { -// *row = uchar(rand() & 255); -// } -// } -// } -// } -// -// Functions that are not part of the basic image allocation, viewing, and -// access should come from OpenCV, except some useful functions that are not -// part of OpenCV can be found in wimage_util.h -#ifndef __OPENCV_CORE_WIMAGE_HPP__ -#define __OPENCV_CORE_WIMAGE_HPP__ - -#include "opencv2/core/core_c.h" - -#ifdef __cplusplus - -namespace cv { - -template class WImage; -template class WImageBuffer; -template class WImageView; - -template class WImageC; -template class WImageBufferC; -template class WImageViewC; - -// Commonly used typedefs. -typedef WImage WImage_b; -typedef WImageView WImageView_b; -typedef WImageBuffer WImageBuffer_b; - -typedef WImageC WImage1_b; -typedef WImageViewC WImageView1_b; -typedef WImageBufferC WImageBuffer1_b; - -typedef WImageC WImage3_b; -typedef WImageViewC WImageView3_b; -typedef WImageBufferC WImageBuffer3_b; - -typedef WImage WImage_f; -typedef WImageView WImageView_f; -typedef WImageBuffer WImageBuffer_f; - -typedef WImageC WImage1_f; -typedef WImageViewC WImageView1_f; -typedef WImageBufferC WImageBuffer1_f; - -typedef WImageC WImage3_f; -typedef WImageViewC WImageView3_f; -typedef WImageBufferC WImageBuffer3_f; - -// There isn't a standard for signed and unsigned short so be more -// explicit in the typename for these cases. -typedef WImage WImage_16s; -typedef WImageView WImageView_16s; -typedef WImageBuffer WImageBuffer_16s; - -typedef WImageC WImage1_16s; -typedef WImageViewC WImageView1_16s; -typedef WImageBufferC WImageBuffer1_16s; - -typedef WImageC WImage3_16s; -typedef WImageViewC WImageView3_16s; -typedef WImageBufferC WImageBuffer3_16s; - -typedef WImage WImage_16u; -typedef WImageView WImageView_16u; -typedef WImageBuffer WImageBuffer_16u; - -typedef WImageC WImage1_16u; -typedef WImageViewC WImageView1_16u; -typedef WImageBufferC WImageBuffer1_16u; - -typedef WImageC WImage3_16u; -typedef WImageViewC WImageView3_16u; -typedef WImageBufferC WImageBuffer3_16u; - -// -// WImage definitions -// -// This WImage class gives access to the data it refers to. It can be -// constructed either by allocating the data with a WImageBuffer class or -// using the WImageView class to refer to a subimage or outside data. -template -class WImage -{ -public: - typedef T BaseType; - - // WImage is an abstract class with no other virtual methods so make the - // destructor virtual. - virtual ~WImage() = 0; - - // Accessors - IplImage* Ipl() {return image_; } - const IplImage* Ipl() const {return image_; } - T* ImageData() { return reinterpret_cast(image_->imageData); } - const T* ImageData() const { - return reinterpret_cast(image_->imageData); - } - - int Width() const {return image_->width; } - int Height() const {return image_->height; } - - // WidthStep is the number of bytes to go to the pixel with the next y coord - int WidthStep() const {return image_->widthStep; } - - int Channels() const {return image_->nChannels; } - int ChannelSize() const {return sizeof(T); } // number of bytes per channel - - // Number of bytes per pixel - int PixelSize() const {return Channels() * ChannelSize(); } - - // Return depth type (e.g. IPL_DEPTH_8U, IPL_DEPTH_32F) which is the number - // of bits per channel and with the signed bit set. - // This is known at compile time using specializations. - int Depth() const; - - inline const T* Row(int r) const { - return reinterpret_cast(image_->imageData + r*image_->widthStep); - } - - inline T* Row(int r) { - return reinterpret_cast(image_->imageData + r*image_->widthStep); - } - - // Pixel accessors which returns a pointer to the start of the channel - inline T* operator() (int c, int r) { - return reinterpret_cast(image_->imageData + r*image_->widthStep) + - c*Channels(); - } - - inline const T* operator() (int c, int r) const { - return reinterpret_cast(image_->imageData + r*image_->widthStep) + - c*Channels(); - } - - // Copy the contents from another image which is just a convenience to cvCopy - void CopyFrom(const WImage& src) { cvCopy(src.Ipl(), image_); } - - // Set contents to zero which is just a convenient to cvSetZero - void SetZero() { cvSetZero(image_); } - - // Construct a view into a region of this image - WImageView View(int c, int r, int width, int height); - -protected: - // Disallow copy and assignment - WImage(const WImage&); - void operator=(const WImage&); - - explicit WImage(IplImage* img) : image_(img) { - assert(!img || img->depth == Depth()); - } - - void SetIpl(IplImage* image) { - assert(!image || image->depth == Depth()); - image_ = image; - } - - IplImage* image_; -}; - - - -// Image class when both the pixel type and number of channels -// are known at compile time. This wrapper will speed up some of the operations -// like accessing individual pixels using the () operator. -template -class WImageC : public WImage -{ -public: - typedef typename WImage::BaseType BaseType; - enum { kChannels = C }; - - explicit WImageC(IplImage* img) : WImage(img) { - assert(!img || img->nChannels == Channels()); - } - - // Construct a view into a region of this image - WImageViewC View(int c, int r, int width, int height); - - // Copy the contents from another image which is just a convenience to cvCopy - void CopyFrom(const WImageC& src) { - cvCopy(src.Ipl(), WImage::image_); - } - - // WImageC is an abstract class with no other virtual methods so make the - // destructor virtual. - virtual ~WImageC() = 0; - - int Channels() const {return C; } - -protected: - // Disallow copy and assignment - WImageC(const WImageC&); - void operator=(const WImageC&); - - void SetIpl(IplImage* image) { - assert(!image || image->depth == WImage::Depth()); - WImage::SetIpl(image); - } -}; - -// -// WImageBuffer definitions -// -// Image class which owns the data, so it can be allocated and is always -// freed. It cannot be copied but can be explicity cloned. -// -template -class WImageBuffer : public WImage -{ -public: - typedef typename WImage::BaseType BaseType; - - // Default constructor which creates an object that can be - WImageBuffer() : WImage(0) {} - - WImageBuffer(int width, int height, int nchannels) : WImage(0) { - Allocate(width, height, nchannels); - } - - // Constructor which takes ownership of a given IplImage so releases - // the image on destruction. - explicit WImageBuffer(IplImage* img) : WImage(img) {} - - // Allocate an image. Does nothing if current size is the same as - // the new size. - void Allocate(int width, int height, int nchannels); - - // Set the data to point to an image, releasing the old data - void SetIpl(IplImage* img) { - ReleaseImage(); - WImage::SetIpl(img); - } - - // Clone an image which reallocates the image if of a different dimension. - void CloneFrom(const WImage& src) { - Allocate(src.Width(), src.Height(), src.Channels()); - CopyFrom(src); - } - - ~WImageBuffer() { - ReleaseImage(); - } - - // Release the image if it isn't null. - void ReleaseImage() { - if (WImage::image_) { - IplImage* image = WImage::image_; - cvReleaseImage(&image); - WImage::SetIpl(0); - } - } - - bool IsNull() const {return WImage::image_ == NULL; } - -private: - // Disallow copy and assignment - WImageBuffer(const WImageBuffer&); - void operator=(const WImageBuffer&); -}; - -// Like a WImageBuffer class but when the number of channels is known -// at compile time. -template -class WImageBufferC : public WImageC -{ -public: - typedef typename WImage::BaseType BaseType; - enum { kChannels = C }; - - // Default constructor which creates an object that can be - WImageBufferC() : WImageC(0) {} - - WImageBufferC(int width, int height) : WImageC(0) { - Allocate(width, height); - } - - // Constructor which takes ownership of a given IplImage so releases - // the image on destruction. - explicit WImageBufferC(IplImage* img) : WImageC(img) {} - - // Allocate an image. Does nothing if current size is the same as - // the new size. - void Allocate(int width, int height); - - // Set the data to point to an image, releasing the old data - void SetIpl(IplImage* img) { - ReleaseImage(); - WImageC::SetIpl(img); - } - - // Clone an image which reallocates the image if of a different dimension. - void CloneFrom(const WImageC& src) { - Allocate(src.Width(), src.Height()); - CopyFrom(src); - } - - ~WImageBufferC() { - ReleaseImage(); - } - - // Release the image if it isn't null. - void ReleaseImage() { - if (WImage::image_) { - IplImage* image = WImage::image_; - cvReleaseImage(&image); - WImageC::SetIpl(0); - } - } - - bool IsNull() const {return WImage::image_ == NULL; } - -private: - // Disallow copy and assignment - WImageBufferC(const WImageBufferC&); - void operator=(const WImageBufferC&); -}; - -// -// WImageView definitions -// -// View into an image class which allows treating a subimage as an image -// or treating external data as an image -// -template -class WImageView : public WImage -{ -public: - typedef typename WImage::BaseType BaseType; - - // Construct a subimage. No checks are done that the subimage lies - // completely inside the original image. - WImageView(WImage* img, int c, int r, int width, int height); - - // Refer to external data. - // If not given width_step assumed to be same as width. - WImageView(T* data, int width, int height, int channels, int width_step = -1); - - // Refer to external data. This does NOT take ownership - // of the supplied IplImage. - WImageView(IplImage* img) : WImage(img) {} - - // Copy constructor - WImageView(const WImage& img) : WImage(0) { - header_ = *(img.Ipl()); - WImage::SetIpl(&header_); - } - - WImageView& operator=(const WImage& img) { - header_ = *(img.Ipl()); - WImage::SetIpl(&header_); - return *this; - } - -protected: - IplImage header_; -}; - - -template -class WImageViewC : public WImageC -{ -public: - typedef typename WImage::BaseType BaseType; - enum { kChannels = C }; - - // Default constructor needed for vectors of views. - WImageViewC(); - - virtual ~WImageViewC() {} - - // Construct a subimage. No checks are done that the subimage lies - // completely inside the original image. - WImageViewC(WImageC* img, - int c, int r, int width, int height); - - // Refer to external data - WImageViewC(T* data, int width, int height, int width_step = -1); - - // Refer to external data. This does NOT take ownership - // of the supplied IplImage. - WImageViewC(IplImage* img) : WImageC(img) {} - - // Copy constructor which does a shallow copy to allow multiple views - // of same data. gcc-4.1.1 gets confused if both versions of - // the constructor and assignment operator are not provided. - WImageViewC(const WImageC& img) : WImageC(0) { - header_ = *(img.Ipl()); - WImageC::SetIpl(&header_); - } - WImageViewC(const WImageViewC& img) : WImageC(0) { - header_ = *(img.Ipl()); - WImageC::SetIpl(&header_); - } - - WImageViewC& operator=(const WImageC& img) { - header_ = *(img.Ipl()); - WImageC::SetIpl(&header_); - return *this; - } - WImageViewC& operator=(const WImageViewC& img) { - header_ = *(img.Ipl()); - WImageC::SetIpl(&header_); - return *this; - } - -protected: - IplImage header_; -}; - - -// Specializations for depth -template<> -inline int WImage::Depth() const {return IPL_DEPTH_8U; } -template<> -inline int WImage::Depth() const {return IPL_DEPTH_8S; } -template<> -inline int WImage::Depth() const {return IPL_DEPTH_16S; } -template<> -inline int WImage::Depth() const {return IPL_DEPTH_16U; } -template<> -inline int WImage::Depth() const {return IPL_DEPTH_32S; } -template<> -inline int WImage::Depth() const {return IPL_DEPTH_32F; } -template<> -inline int WImage::Depth() const {return IPL_DEPTH_64F; } - -// -// Pure virtual destructors still need to be defined. -// -template inline WImage::~WImage() {} -template inline WImageC::~WImageC() {} - -// -// Allocate ImageData -// -template -inline void WImageBuffer::Allocate(int width, int height, int nchannels) -{ - if (IsNull() || WImage::Width() != width || - WImage::Height() != height || WImage::Channels() != nchannels) { - ReleaseImage(); - WImage::image_ = cvCreateImage(cvSize(width, height), - WImage::Depth(), nchannels); - } -} - -template -inline void WImageBufferC::Allocate(int width, int height) -{ - if (IsNull() || WImage::Width() != width || WImage::Height() != height) { - ReleaseImage(); - WImageC::SetIpl(cvCreateImage(cvSize(width, height),WImage::Depth(), C)); - } -} - -// -// ImageView methods -// -template -WImageView::WImageView(WImage* img, int c, int r, int width, int height) - : WImage(0) -{ - header_ = *(img->Ipl()); - header_.imageData = reinterpret_cast((*img)(c, r)); - header_.width = width; - header_.height = height; - WImage::SetIpl(&header_); -} - -template -WImageView::WImageView(T* data, int width, int height, int nchannels, int width_step) - : WImage(0) -{ - cvInitImageHeader(&header_, cvSize(width, height), WImage::Depth(), nchannels); - header_.imageData = reinterpret_cast(data); - if (width_step > 0) { - header_.widthStep = width_step; - } - WImage::SetIpl(&header_); -} - -template -WImageViewC::WImageViewC(WImageC* img, int c, int r, int width, int height) - : WImageC(0) -{ - header_ = *(img->Ipl()); - header_.imageData = reinterpret_cast((*img)(c, r)); - header_.width = width; - header_.height = height; - WImageC::SetIpl(&header_); -} - -template -WImageViewC::WImageViewC() : WImageC(0) { - cvInitImageHeader(&header_, cvSize(0, 0), WImage::Depth(), C); - header_.imageData = reinterpret_cast(0); - WImageC::SetIpl(&header_); -} - -template -WImageViewC::WImageViewC(T* data, int width, int height, int width_step) - : WImageC(0) -{ - cvInitImageHeader(&header_, cvSize(width, height), WImage::Depth(), C); - header_.imageData = reinterpret_cast(data); - if (width_step > 0) { - header_.widthStep = width_step; - } - WImageC::SetIpl(&header_); -} - -// Construct a view into a region of an image -template -WImageView WImage::View(int c, int r, int width, int height) { - return WImageView(this, c, r, width, height); -} - -template -WImageViewC WImageC::View(int c, int r, int width, int height) { - return WImageViewC(this, c, r, width, height); -} - -} // end of namespace - -#endif // __cplusplus - -#endif diff --git a/phonelibs/opencv/include/opencv2/features2d/features2d.hpp b/phonelibs/opencv/include/opencv2/features2d/features2d.hpp deleted file mode 100644 index 3ea0ad9a8a..0000000000 --- a/phonelibs/opencv/include/opencv2/features2d/features2d.hpp +++ /dev/null @@ -1,1574 +0,0 @@ -/*M/////////////////////////////////////////////////////////////////////////////////////// -// -// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING. -// -// By downloading, copying, installing or using the software you agree to this license. -// If you do not agree to this license, do not download, install, -// copy or use the software. -// -// -// License Agreement -// For Open Source Computer Vision Library -// -// Copyright (C) 2000-2008, Intel Corporation, all rights reserved. -// Copyright (C) 2009, Willow Garage Inc., all rights reserved. -// Third party copyrights are property of their respective owners. -// -// Redistribution and use in source and binary forms, with or without modification, -// are permitted provided that the following conditions are met: -// -// * Redistribution's of source code must retain the above copyright notice, -// this list of conditions and the following disclaimer. -// -// * Redistribution's in binary form must reproduce the above copyright notice, -// this list of conditions and the following disclaimer in the documentation -// and/or other materials provided with the distribution. -// -// * The name of the copyright holders may not be used to endorse or promote products -// derived from this software without specific prior written permission. -// -// This software is provided by the copyright holders and contributors "as is" and -// any express or implied warranties, including, but not limited to, the implied -// warranties of merchantability and fitness for a particular purpose are disclaimed. -// In no event shall the Intel Corporation or contributors be liable for any direct, -// indirect, incidental, special, exemplary, or consequential damages -// (including, but not limited to, procurement of substitute goods or services; -// loss of use, data, or profits; or business interruption) however caused -// and on any theory of liability, whether in contract, strict liability, -// or tort (including negligence or otherwise) arising in any way out of -// the use of this software, even if advised of the possibility of such damage. -// -//M*/ - -#ifndef __OPENCV_FEATURES_2D_HPP__ -#define __OPENCV_FEATURES_2D_HPP__ - -#include "opencv2/core/core.hpp" - -#ifdef __cplusplus -#include - -namespace cv -{ - -CV_EXPORTS bool initModule_features2d(); - -/*! - The Keypoint Class - - The class instance stores a keypoint, i.e. a point feature found by one of many available keypoint detectors, such as - Harris corner detector, cv::FAST, cv::StarDetector, cv::SURF, cv::SIFT, cv::LDetector etc. - - The keypoint is characterized by the 2D position, scale - (proportional to the diameter of the neighborhood that needs to be taken into account), - orientation and some other parameters. The keypoint neighborhood is then analyzed by another algorithm that builds a descriptor - (usually represented as a feature vector). The keypoints representing the same object in different images can then be matched using - cv::KDTree or another method. -*/ -class CV_EXPORTS_W_SIMPLE KeyPoint -{ -public: - //! the default constructor - CV_WRAP KeyPoint() : pt(0,0), size(0), angle(-1), response(0), octave(0), class_id(-1) {} - //! the full constructor - KeyPoint(Point2f _pt, float _size, float _angle=-1, - float _response=0, int _octave=0, int _class_id=-1) - : pt(_pt), size(_size), angle(_angle), - response(_response), octave(_octave), class_id(_class_id) {} - //! another form of the full constructor - CV_WRAP KeyPoint(float x, float y, float _size, float _angle=-1, - float _response=0, int _octave=0, int _class_id=-1) - : pt(x, y), size(_size), angle(_angle), - response(_response), octave(_octave), class_id(_class_id) {} - - size_t hash() const; - - //! converts vector of keypoints to vector of points - static void convert(const vector& keypoints, - CV_OUT vector& points2f, - const vector& keypointIndexes=vector()); - //! converts vector of points to the vector of keypoints, where each keypoint is assigned the same size and the same orientation - static void convert(const vector& points2f, - CV_OUT vector& keypoints, - float size=1, float response=1, int octave=0, int class_id=-1); - - //! computes overlap for pair of keypoints; - //! overlap is a ratio between area of keypoint regions intersection and - //! area of keypoint regions union (now keypoint region is circle) - static float overlap(const KeyPoint& kp1, const KeyPoint& kp2); - - CV_PROP_RW Point2f pt; //!< coordinates of the keypoints - CV_PROP_RW float size; //!< diameter of the meaningful keypoint neighborhood - CV_PROP_RW float angle; //!< computed orientation of the keypoint (-1 if not applicable); - //!< it's in [0,360) degrees and measured relative to - //!< image coordinate system, ie in clockwise. - CV_PROP_RW float response; //!< the response by which the most strong keypoints have been selected. Can be used for the further sorting or subsampling - CV_PROP_RW int octave; //!< octave (pyramid layer) from which the keypoint has been extracted - CV_PROP_RW int class_id; //!< object class (if the keypoints need to be clustered by an object they belong to) -}; - -//! writes vector of keypoints to the file storage -CV_EXPORTS void write(FileStorage& fs, const string& name, const vector& keypoints); -//! reads vector of keypoints from the specified file storage node -CV_EXPORTS void read(const FileNode& node, CV_OUT vector& keypoints); - -/* - * A class filters a vector of keypoints. - * Because now it is difficult to provide a convenient interface for all usage scenarios of the keypoints filter class, - * it has only several needed by now static methods. - */ -class CV_EXPORTS KeyPointsFilter -{ -public: - KeyPointsFilter(){} - - /* - * Remove keypoints within borderPixels of an image edge. - */ - static void runByImageBorder( vector& keypoints, Size imageSize, int borderSize ); - /* - * Remove keypoints of sizes out of range. - */ - static void runByKeypointSize( vector& keypoints, float minSize, - float maxSize=FLT_MAX ); - /* - * Remove keypoints from some image by mask for pixels of this image. - */ - static void runByPixelsMask( vector& keypoints, const Mat& mask ); - /* - * Remove duplicated keypoints. - */ - static void removeDuplicated( vector& keypoints ); - - /* - * Retain the specified number of the best keypoints (according to the response) - */ - static void retainBest( vector& keypoints, int npoints ); -}; - - -/************************************ Base Classes ************************************/ - -/* - * Abstract base class for 2D image feature detectors. - */ -class CV_EXPORTS_W FeatureDetector : public virtual Algorithm -{ -public: - virtual ~FeatureDetector(); - - /* - * Detect keypoints in an image. - * image The image. - * keypoints The detected keypoints. - * mask Mask specifying where to look for keypoints (optional). Must be a char - * matrix with non-zero values in the region of interest. - */ - CV_WRAP void detect( const Mat& image, CV_OUT vector& keypoints, const Mat& mask=Mat() ) const; - - /* - * Detect keypoints in an image set. - * images Image collection. - * keypoints Collection of keypoints detected in an input images. keypoints[i] is a set of keypoints detected in an images[i]. - * masks Masks for image set. masks[i] is a mask for images[i]. - */ - void detect( const vector& images, vector >& keypoints, const vector& masks=vector() ) const; - - // Return true if detector object is empty - CV_WRAP virtual bool empty() const; - - // Create feature detector by detector name. - CV_WRAP static Ptr create( const string& detectorType ); - -protected: - virtual void detectImpl( const Mat& image, vector& keypoints, const Mat& mask=Mat() ) const = 0; - - /* - * Remove keypoints that are not in the mask. - * Helper function, useful when wrapping a library call for keypoint detection that - * does not support a mask argument. - */ - static void removeInvalidPoints( const Mat& mask, vector& keypoints ); -}; - - -/* - * Abstract base class for computing descriptors for image keypoints. - * - * In this interface we assume a keypoint descriptor can be represented as a - * dense, fixed-dimensional vector of some basic type. Most descriptors used - * in practice follow this pattern, as it makes it very easy to compute - * distances between descriptors. Therefore we represent a collection of - * descriptors as a Mat, where each row is one keypoint descriptor. - */ -class CV_EXPORTS_W DescriptorExtractor : public virtual Algorithm -{ -public: - virtual ~DescriptorExtractor(); - - /* - * Compute the descriptors for a set of keypoints in an image. - * image The image. - * keypoints The input keypoints. Keypoints for which a descriptor cannot be computed are removed. - * descriptors Copmputed descriptors. Row i is the descriptor for keypoint i. - */ - CV_WRAP void compute( const Mat& image, CV_OUT CV_IN_OUT vector& keypoints, CV_OUT Mat& descriptors ) const; - - /* - * Compute the descriptors for a keypoints collection detected in image collection. - * images Image collection. - * keypoints Input keypoints collection. keypoints[i] is keypoints detected in images[i]. - * Keypoints for which a descriptor cannot be computed are removed. - * descriptors Descriptor collection. descriptors[i] are descriptors computed for set keypoints[i]. - */ - void compute( const vector& images, vector >& keypoints, vector& descriptors ) const; - - CV_WRAP virtual int descriptorSize() const = 0; - CV_WRAP virtual int descriptorType() const = 0; - - CV_WRAP virtual bool empty() const; - - CV_WRAP static Ptr create( const string& descriptorExtractorType ); - -protected: - virtual void computeImpl( const Mat& image, vector& keypoints, Mat& descriptors ) const = 0; - - /* - * Remove keypoints within borderPixels of an image edge. - */ - static void removeBorderKeypoints( vector& keypoints, - Size imageSize, int borderSize ); -}; - - - -/* - * Abstract base class for simultaneous 2D feature detection descriptor extraction. - */ -class CV_EXPORTS_W Feature2D : public FeatureDetector, public DescriptorExtractor -{ -public: - /* - * Detect keypoints in an image. - * image The image. - * keypoints The detected keypoints. - * mask Mask specifying where to look for keypoints (optional). Must be a char - * matrix with non-zero values in the region of interest. - * useProvidedKeypoints If true, the method will skip the detection phase and will compute - * descriptors for the provided keypoints - */ - CV_WRAP_AS(detectAndCompute) virtual void operator()( InputArray image, InputArray mask, - CV_OUT vector& keypoints, - OutputArray descriptors, - bool useProvidedKeypoints=false ) const = 0; - - CV_WRAP void compute( const Mat& image, CV_OUT CV_IN_OUT std::vector& keypoints, CV_OUT Mat& descriptors ) const; - - // Create feature detector and descriptor extractor by name. - CV_WRAP static Ptr create( const string& name ); -}; - -/*! - BRISK implementation -*/ -class CV_EXPORTS_W BRISK : public Feature2D -{ -public: - CV_WRAP explicit BRISK(int thresh=30, int octaves=3, float patternScale=1.0f); - - virtual ~BRISK(); - - // returns the descriptor size in bytes - int descriptorSize() const; - // returns the descriptor type - int descriptorType() const; - - // Compute the BRISK features on an image - void operator()(InputArray image, InputArray mask, vector& keypoints) const; - - // Compute the BRISK features and descriptors on an image - void operator()( InputArray image, InputArray mask, vector& keypoints, - OutputArray descriptors, bool useProvidedKeypoints=false ) const; - - AlgorithmInfo* info() const; - - // custom setup - CV_WRAP explicit BRISK(std::vector &radiusList, std::vector &numberList, - float dMax=5.85f, float dMin=8.2f, std::vector indexChange=std::vector()); - - // call this to generate the kernel: - // circle of radius r (pixels), with n points; - // short pairings with dMax, long pairings with dMin - CV_WRAP void generateKernel(std::vector &radiusList, - std::vector &numberList, float dMax=5.85f, float dMin=8.2f, - std::vector indexChange=std::vector()); - -protected: - - void computeImpl( const Mat& image, vector& keypoints, Mat& descriptors ) const; - void detectImpl( const Mat& image, vector& keypoints, const Mat& mask=Mat() ) const; - - void computeKeypointsNoOrientation(InputArray image, InputArray mask, vector& keypoints) const; - void computeDescriptorsAndOrOrientation(InputArray image, InputArray mask, vector& keypoints, - OutputArray descriptors, bool doDescriptors, bool doOrientation, - bool useProvidedKeypoints) const; - - // Feature parameters - CV_PROP_RW int threshold; - CV_PROP_RW int octaves; - - // some helper structures for the Brisk pattern representation - struct BriskPatternPoint{ - float x; // x coordinate relative to center - float y; // x coordinate relative to center - float sigma; // Gaussian smoothing sigma - }; - struct BriskShortPair{ - unsigned int i; // index of the first pattern point - unsigned int j; // index of other pattern point - }; - struct BriskLongPair{ - unsigned int i; // index of the first pattern point - unsigned int j; // index of other pattern point - int weighted_dx; // 1024.0/dx - int weighted_dy; // 1024.0/dy - }; - inline int smoothedIntensity(const cv::Mat& image, - const cv::Mat& integral,const float key_x, - const float key_y, const unsigned int scale, - const unsigned int rot, const unsigned int point) const; - // pattern properties - BriskPatternPoint* patternPoints_; //[i][rotation][scale] - unsigned int points_; // total number of collocation points - float* scaleList_; // lists the scaling per scale index [scale] - unsigned int* sizeList_; // lists the total pattern size per scale index [scale] - static const unsigned int scales_; // scales discretization - static const float scalerange_; // span of sizes 40->4 Octaves - else, this needs to be adjusted... - static const unsigned int n_rot_; // discretization of the rotation look-up - - // pairs - int strings_; // number of uchars the descriptor consists of - float dMax_; // short pair maximum distance - float dMin_; // long pair maximum distance - BriskShortPair* shortPairs_; // d<_dMax - BriskLongPair* longPairs_; // d>_dMin - unsigned int noShortPairs_; // number of shortParis - unsigned int noLongPairs_; // number of longParis - - // general - static const float basicSize_; -}; - - -/*! - ORB implementation. -*/ -class CV_EXPORTS_W ORB : public Feature2D -{ -public: - // the size of the signature in bytes - enum { kBytes = 32, HARRIS_SCORE=0, FAST_SCORE=1 }; - - CV_WRAP explicit ORB(int nfeatures = 500, float scaleFactor = 1.2f, int nlevels = 8, int edgeThreshold = 31, - int firstLevel = 0, int WTA_K=2, int scoreType=ORB::HARRIS_SCORE, int patchSize=31 ); - - // returns the descriptor size in bytes - int descriptorSize() const; - // returns the descriptor type - int descriptorType() const; - - // Compute the ORB features and descriptors on an image - void operator()(InputArray image, InputArray mask, vector& keypoints) const; - - // Compute the ORB features and descriptors on an image - void operator()( InputArray image, InputArray mask, vector& keypoints, - OutputArray descriptors, bool useProvidedKeypoints=false ) const; - - AlgorithmInfo* info() const; - -protected: - - void computeImpl( const Mat& image, vector& keypoints, Mat& descriptors ) const; - void detectImpl( const Mat& image, vector& keypoints, const Mat& mask=Mat() ) const; - - CV_PROP_RW int nfeatures; - CV_PROP_RW double scaleFactor; - CV_PROP_RW int nlevels; - CV_PROP_RW int edgeThreshold; - CV_PROP_RW int firstLevel; - CV_PROP_RW int WTA_K; - CV_PROP_RW int scoreType; - CV_PROP_RW int patchSize; -}; - -typedef ORB OrbFeatureDetector; -typedef ORB OrbDescriptorExtractor; - -/*! - FREAK implementation -*/ -class CV_EXPORTS FREAK : public DescriptorExtractor -{ -public: - /** Constructor - * @param orientationNormalized enable orientation normalization - * @param scaleNormalized enable scale normalization - * @param patternScale scaling of the description pattern - * @param nOctaves number of octaves covered by the detected keypoints - * @param selectedPairs (optional) user defined selected pairs - */ - explicit FREAK( bool orientationNormalized = true, - bool scaleNormalized = true, - float patternScale = 22.0f, - int nOctaves = 4, - const vector& selectedPairs = vector()); - FREAK( const FREAK& rhs ); - FREAK& operator=( const FREAK& ); - - virtual ~FREAK(); - - /** returns the descriptor length in bytes */ - virtual int descriptorSize() const; - - /** returns the descriptor type */ - virtual int descriptorType() const; - - /** select the 512 "best description pairs" - * @param images grayscale images set - * @param keypoints set of detected keypoints - * @param corrThresh correlation threshold - * @param verbose print construction information - * @return list of best pair indexes - */ - vector selectPairs( const vector& images, vector >& keypoints, - const double corrThresh = 0.7, bool verbose = true ); - - AlgorithmInfo* info() const; - - enum - { - NB_SCALES = 64, NB_PAIRS = 512, NB_ORIENPAIRS = 45 - }; - -protected: - virtual void computeImpl( const Mat& image, vector& keypoints, Mat& descriptors ) const; - void buildPattern(); - uchar meanIntensity( const Mat& image, const Mat& integral, const float kp_x, const float kp_y, - const unsigned int scale, const unsigned int rot, const unsigned int point ) const; - - bool orientationNormalized; //true if the orientation is normalized, false otherwise - bool scaleNormalized; //true if the scale is normalized, false otherwise - double patternScale; //scaling of the pattern - int nOctaves; //number of octaves - bool extAll; // true if all pairs need to be extracted for pairs selection - - double patternScale0; - int nOctaves0; - vector selectedPairs0; - - struct PatternPoint - { - float x; // x coordinate relative to center - float y; // x coordinate relative to center - float sigma; // Gaussian smoothing sigma - }; - - struct DescriptionPair - { - uchar i; // index of the first point - uchar j; // index of the second point - }; - - struct OrientationPair - { - uchar i; // index of the first point - uchar j; // index of the second point - int weight_dx; // dx/(norm_sq))*4096 - int weight_dy; // dy/(norm_sq))*4096 - }; - - vector patternLookup; // look-up table for the pattern points (position+sigma of all points at all scales and orientation) - int patternSizes[NB_SCALES]; // size of the pattern at a specific scale (used to check if a point is within image boundaries) - DescriptionPair descriptionPairs[NB_PAIRS]; - OrientationPair orientationPairs[NB_ORIENPAIRS]; -}; - - -/*! - Maximal Stable Extremal Regions class. - - The class implements MSER algorithm introduced by J. Matas. - Unlike SIFT, SURF and many other detectors in OpenCV, this is salient region detector, - not the salient point detector. - - It returns the regions, each of those is encoded as a contour. -*/ -class CV_EXPORTS_W MSER : public FeatureDetector -{ -public: - //! the full constructor - CV_WRAP explicit MSER( int _delta=5, int _min_area=60, int _max_area=14400, - double _max_variation=0.25, double _min_diversity=.2, - int _max_evolution=200, double _area_threshold=1.01, - double _min_margin=0.003, int _edge_blur_size=5 ); - - //! the operator that extracts the MSERs from the image or the specific part of it - CV_WRAP_AS(detect) void operator()( const Mat& image, CV_OUT vector >& msers, - const Mat& mask=Mat() ) const; - AlgorithmInfo* info() const; - -protected: - void detectImpl( const Mat& image, vector& keypoints, const Mat& mask=Mat() ) const; - - int delta; - int minArea; - int maxArea; - double maxVariation; - double minDiversity; - int maxEvolution; - double areaThreshold; - double minMargin; - int edgeBlurSize; -}; - -typedef MSER MserFeatureDetector; - -/*! - The "Star" Detector. - - The class implements the keypoint detector introduced by K. Konolige. -*/ -class CV_EXPORTS_W StarDetector : public FeatureDetector -{ -public: - //! the full constructor - CV_WRAP StarDetector(int _maxSize=45, int _responseThreshold=30, - int _lineThresholdProjected=10, - int _lineThresholdBinarized=8, - int _suppressNonmaxSize=5); - - //! finds the keypoints in the image - CV_WRAP_AS(detect) void operator()(const Mat& image, - CV_OUT vector& keypoints) const; - - AlgorithmInfo* info() const; - -protected: - void detectImpl( const Mat& image, vector& keypoints, const Mat& mask=Mat() ) const; - - int maxSize; - int responseThreshold; - int lineThresholdProjected; - int lineThresholdBinarized; - int suppressNonmaxSize; -}; - -//! detects corners using FAST algorithm by E. Rosten -CV_EXPORTS void FAST( InputArray image, CV_OUT vector& keypoints, - int threshold, bool nonmaxSuppression=true ); - -CV_EXPORTS void FASTX( InputArray image, CV_OUT vector& keypoints, - int threshold, bool nonmaxSuppression, int type ); - -class CV_EXPORTS_W FastFeatureDetector : public FeatureDetector -{ -public: - - enum - { // Define it in old class to simplify migration to 2.5 - TYPE_5_8 = 0, TYPE_7_12 = 1, TYPE_9_16 = 2 - }; - - CV_WRAP FastFeatureDetector( int threshold=10, bool nonmaxSuppression=true ); - AlgorithmInfo* info() const; - -protected: - virtual void detectImpl( const Mat& image, vector& keypoints, const Mat& mask=Mat() ) const; - - int threshold; - bool nonmaxSuppression; -}; - - -class CV_EXPORTS_W GFTTDetector : public FeatureDetector -{ -public: - CV_WRAP GFTTDetector( int maxCorners=1000, double qualityLevel=0.01, double minDistance=1, - int blockSize=3, bool useHarrisDetector=false, double k=0.04 ); - AlgorithmInfo* info() const; - -protected: - virtual void detectImpl( const Mat& image, vector& keypoints, const Mat& mask=Mat() ) const; - - int nfeatures; - double qualityLevel; - double minDistance; - int blockSize; - bool useHarrisDetector; - double k; -}; - -typedef GFTTDetector GoodFeaturesToTrackDetector; -typedef StarDetector StarFeatureDetector; - -class CV_EXPORTS_W SimpleBlobDetector : public FeatureDetector -{ -public: - struct CV_EXPORTS_W_SIMPLE Params - { - CV_WRAP Params(); - CV_PROP_RW float thresholdStep; - CV_PROP_RW float minThreshold; - CV_PROP_RW float maxThreshold; - CV_PROP_RW size_t minRepeatability; - CV_PROP_RW float minDistBetweenBlobs; - - CV_PROP_RW bool filterByColor; - CV_PROP_RW uchar blobColor; - - CV_PROP_RW bool filterByArea; - CV_PROP_RW float minArea, maxArea; - - CV_PROP_RW bool filterByCircularity; - CV_PROP_RW float minCircularity, maxCircularity; - - CV_PROP_RW bool filterByInertia; - CV_PROP_RW float minInertiaRatio, maxInertiaRatio; - - CV_PROP_RW bool filterByConvexity; - CV_PROP_RW float minConvexity, maxConvexity; - - void read( const FileNode& fn ); - void write( FileStorage& fs ) const; - }; - - CV_WRAP SimpleBlobDetector(const SimpleBlobDetector::Params ¶meters = SimpleBlobDetector::Params()); - - virtual void read( const FileNode& fn ); - virtual void write( FileStorage& fs ) const; - -protected: - struct CV_EXPORTS Center - { - Point2d location; - double radius; - double confidence; - }; - - virtual void detectImpl( const Mat& image, vector& keypoints, const Mat& mask=Mat() ) const; - virtual void findBlobs(const Mat &image, const Mat &binaryImage, vector
¢ers) const; - - Params params; - AlgorithmInfo* info() const; -}; - - -class CV_EXPORTS DenseFeatureDetector : public FeatureDetector -{ -public: - explicit DenseFeatureDetector( float initFeatureScale=1.f, int featureScaleLevels=1, - float featureScaleMul=0.1f, - int initXyStep=6, int initImgBound=0, - bool varyXyStepWithScale=true, - bool varyImgBoundWithScale=false ); - AlgorithmInfo* info() const; - -protected: - virtual void detectImpl( const Mat& image, vector& keypoints, const Mat& mask=Mat() ) const; - - double initFeatureScale; - int featureScaleLevels; - double featureScaleMul; - - int initXyStep; - int initImgBound; - - bool varyXyStepWithScale; - bool varyImgBoundWithScale; -}; - -/* - * Adapts a detector to partition the source image into a grid and detect - * points in each cell. - */ -class CV_EXPORTS_W GridAdaptedFeatureDetector : public FeatureDetector -{ -public: - /* - * detector Detector that will be adapted. - * maxTotalKeypoints Maximum count of keypoints detected on the image. Only the strongest keypoints - * will be keeped. - * gridRows Grid rows count. - * gridCols Grid column count. - */ - CV_WRAP GridAdaptedFeatureDetector( const Ptr& detector=0, - int maxTotalKeypoints=1000, - int gridRows=4, int gridCols=4 ); - - // TODO implement read/write - virtual bool empty() const; - - AlgorithmInfo* info() const; - -protected: - virtual void detectImpl( const Mat& image, vector& keypoints, const Mat& mask=Mat() ) const; - - Ptr detector; - int maxTotalKeypoints; - int gridRows; - int gridCols; -}; - -/* - * Adapts a detector to detect points over multiple levels of a Gaussian - * pyramid. Useful for detectors that are not inherently scaled. - */ -class CV_EXPORTS_W PyramidAdaptedFeatureDetector : public FeatureDetector -{ -public: - // maxLevel - The 0-based index of the last pyramid layer - CV_WRAP PyramidAdaptedFeatureDetector( const Ptr& detector, int maxLevel=2 ); - - // TODO implement read/write - virtual bool empty() const; - -protected: - virtual void detectImpl( const Mat& image, vector& keypoints, const Mat& mask=Mat() ) const; - - Ptr detector; - int maxLevel; -}; - -/** \brief A feature detector parameter adjuster, this is used by the DynamicAdaptedFeatureDetector - * and is a wrapper for FeatureDetector that allow them to be adjusted after a detection - */ -class CV_EXPORTS AdjusterAdapter: public FeatureDetector -{ -public: - /** pure virtual interface - */ - virtual ~AdjusterAdapter() {} - /** too few features were detected so, adjust the detector params accordingly - * \param min the minimum number of desired features - * \param n_detected the number previously detected - */ - virtual void tooFew(int min, int n_detected) = 0; - /** too many features were detected so, adjust the detector params accordingly - * \param max the maximum number of desired features - * \param n_detected the number previously detected - */ - virtual void tooMany(int max, int n_detected) = 0; - /** are params maxed out or still valid? - * \return false if the parameters can't be adjusted any more - */ - virtual bool good() const = 0; - - virtual Ptr clone() const = 0; - - static Ptr create( const string& detectorType ); -}; -/** \brief an adaptively adjusting detector that iteratively detects until the desired number - * of features are detected. - * Beware that this is not thread safe - as the adjustment of parameters breaks the const - * of the detection routine... - * /TODO Make this const correct and thread safe - * - * sample usage: - //will create a detector that attempts to find 100 - 110 FAST Keypoints, and will at most run - //FAST feature detection 10 times until that number of keypoints are found - Ptr detector(new DynamicAdaptedFeatureDetector(new FastAdjuster(20,true),100, 110, 10)); - - */ -class CV_EXPORTS DynamicAdaptedFeatureDetector: public FeatureDetector -{ -public: - - /** \param adjuster an AdjusterAdapter that will do the detection and parameter adjustment - * \param max_features the maximum desired number of features - * \param max_iters the maximum number of times to try to adjust the feature detector params - * for the FastAdjuster this can be high, but with Star or Surf this can get time consuming - * \param min_features the minimum desired features - */ - DynamicAdaptedFeatureDetector( const Ptr& adjuster, int min_features=400, int max_features=500, int max_iters=5 ); - - virtual bool empty() const; - -protected: - virtual void detectImpl( const Mat& image, vector& keypoints, const Mat& mask=Mat() ) const; - -private: - DynamicAdaptedFeatureDetector& operator=(const DynamicAdaptedFeatureDetector&); - DynamicAdaptedFeatureDetector(const DynamicAdaptedFeatureDetector&); - - int escape_iters_; - int min_features_, max_features_; - const Ptr adjuster_; -}; - -/**\brief an adjust for the FAST detector. This will basically decrement or increment the - * threshold by 1 - */ -class CV_EXPORTS FastAdjuster: public AdjusterAdapter -{ -public: - /**\param init_thresh the initial threshold to start with, default = 20 - * \param nonmax whether to use non max or not for fast feature detection - * \param min_thresh - * \param max_thresh - */ - FastAdjuster(int init_thresh=20, bool nonmax=true, int min_thresh=1, int max_thresh=200); - - virtual void tooFew(int minv, int n_detected); - virtual void tooMany(int maxv, int n_detected); - virtual bool good() const; - - virtual Ptr clone() const; - -protected: - virtual void detectImpl( const Mat& image, vector& keypoints, const Mat& mask=Mat() ) const; - - int thresh_; - bool nonmax_; - int init_thresh_, min_thresh_, max_thresh_; -}; - - -/** An adjuster for StarFeatureDetector, this one adjusts the responseThreshold for now - * TODO find a faster way to converge the parameters for Star - use CvStarDetectorParams - */ -class CV_EXPORTS StarAdjuster: public AdjusterAdapter -{ -public: - StarAdjuster(double initial_thresh=30.0, double min_thresh=2., double max_thresh=200.); - - virtual void tooFew(int minv, int n_detected); - virtual void tooMany(int maxv, int n_detected); - virtual bool good() const; - - virtual Ptr clone() const; - -protected: - virtual void detectImpl( const Mat& image, vector& keypoints, const Mat& mask=Mat() ) const; - - double thresh_, init_thresh_, min_thresh_, max_thresh_; -}; - -class CV_EXPORTS SurfAdjuster: public AdjusterAdapter -{ -public: - SurfAdjuster( double initial_thresh=400.f, double min_thresh=2, double max_thresh=1000 ); - - virtual void tooFew(int minv, int n_detected); - virtual void tooMany(int maxv, int n_detected); - virtual bool good() const; - - virtual Ptr clone() const; - -protected: - virtual void detectImpl( const Mat& image, vector& keypoints, const Mat& mask=Mat() ) const; - - double thresh_, init_thresh_, min_thresh_, max_thresh_; -}; - -CV_EXPORTS Mat windowedMatchingMask( const vector& keypoints1, const vector& keypoints2, - float maxDeltaX, float maxDeltaY ); - - - -/* - * OpponentColorDescriptorExtractor - * - * Adapts a descriptor extractor to compute descriptors in Opponent Color Space - * (refer to van de Sande et al., CGIV 2008 "Color Descriptors for Object Category Recognition"). - * Input RGB image is transformed in Opponent Color Space. Then unadapted descriptor extractor - * (set in constructor) computes descriptors on each of the three channel and concatenate - * them into a single color descriptor. - */ -class CV_EXPORTS OpponentColorDescriptorExtractor : public DescriptorExtractor -{ -public: - OpponentColorDescriptorExtractor( const Ptr& descriptorExtractor ); - - virtual void read( const FileNode& ); - virtual void write( FileStorage& ) const; - - virtual int descriptorSize() const; - virtual int descriptorType() const; - - virtual bool empty() const; - -protected: - virtual void computeImpl( const Mat& image, vector& keypoints, Mat& descriptors ) const; - - Ptr descriptorExtractor; -}; - -/* - * BRIEF Descriptor - */ -class CV_EXPORTS BriefDescriptorExtractor : public DescriptorExtractor -{ -public: - static const int PATCH_SIZE = 48; - static const int KERNEL_SIZE = 9; - - // bytes is a length of descriptor in bytes. It can be equal 16, 32 or 64 bytes. - BriefDescriptorExtractor( int bytes = 32 ); - - virtual void read( const FileNode& ); - virtual void write( FileStorage& ) const; - - virtual int descriptorSize() const; - virtual int descriptorType() const; - - /// @todo read and write for brief - - AlgorithmInfo* info() const; - -protected: - virtual void computeImpl(const Mat& image, vector& keypoints, Mat& descriptors) const; - - typedef void(*PixelTestFn)(const Mat&, const vector&, Mat&); - - int bytes_; - PixelTestFn test_fn_; -}; - - -/****************************************************************************************\ -* Distance * -\****************************************************************************************/ - -template -struct CV_EXPORTS Accumulator -{ - typedef T Type; -}; - -template<> struct Accumulator { typedef float Type; }; -template<> struct Accumulator { typedef float Type; }; -template<> struct Accumulator { typedef float Type; }; -template<> struct Accumulator { typedef float Type; }; - -/* - * Squared Euclidean distance functor - */ -template -struct CV_EXPORTS SL2 -{ - enum { normType = NORM_L2SQR }; - typedef T ValueType; - typedef typename Accumulator::Type ResultType; - - ResultType operator()( const T* a, const T* b, int size ) const - { - return normL2Sqr(a, b, size); - } -}; - -/* - * Euclidean distance functor - */ -template -struct CV_EXPORTS L2 -{ - enum { normType = NORM_L2 }; - typedef T ValueType; - typedef typename Accumulator::Type ResultType; - - ResultType operator()( const T* a, const T* b, int size ) const - { - return (ResultType)sqrt((double)normL2Sqr(a, b, size)); - } -}; - -/* - * Manhattan distance (city block distance) functor - */ -template -struct CV_EXPORTS L1 -{ - enum { normType = NORM_L1 }; - typedef T ValueType; - typedef typename Accumulator::Type ResultType; - - ResultType operator()( const T* a, const T* b, int size ) const - { - return normL1(a, b, size); - } -}; - -/* - * Hamming distance functor - counts the bit differences between two strings - useful for the Brief descriptor - * bit count of A exclusive XOR'ed with B - */ -struct CV_EXPORTS Hamming -{ - enum { normType = NORM_HAMMING }; - typedef unsigned char ValueType; - typedef int ResultType; - - /** this will count the bits in a ^ b - */ - ResultType operator()( const unsigned char* a, const unsigned char* b, int size ) const - { - return normHamming(a, b, size); - } -}; - -typedef Hamming HammingLUT; - -template struct HammingMultilevel -{ - enum { normType = NORM_HAMMING + (cellsize>1) }; - typedef unsigned char ValueType; - typedef int ResultType; - - ResultType operator()( const unsigned char* a, const unsigned char* b, int size ) const - { - return normHamming(a, b, size, cellsize); - } -}; - -/****************************************************************************************\ -* DMatch * -\****************************************************************************************/ -/* - * Struct for matching: query descriptor index, train descriptor index, train image index and distance between descriptors. - */ -struct CV_EXPORTS_W_SIMPLE DMatch -{ - CV_WRAP DMatch() : queryIdx(-1), trainIdx(-1), imgIdx(-1), distance(FLT_MAX) {} - CV_WRAP DMatch( int _queryIdx, int _trainIdx, float _distance ) : - queryIdx(_queryIdx), trainIdx(_trainIdx), imgIdx(-1), distance(_distance) {} - CV_WRAP DMatch( int _queryIdx, int _trainIdx, int _imgIdx, float _distance ) : - queryIdx(_queryIdx), trainIdx(_trainIdx), imgIdx(_imgIdx), distance(_distance) {} - - CV_PROP_RW int queryIdx; // query descriptor index - CV_PROP_RW int trainIdx; // train descriptor index - CV_PROP_RW int imgIdx; // train image index - - CV_PROP_RW float distance; - - // less is better - bool operator<( const DMatch &m ) const - { - return distance < m.distance; - } -}; - -/****************************************************************************************\ -* DescriptorMatcher * -\****************************************************************************************/ -/* - * Abstract base class for matching two sets of descriptors. - */ -class CV_EXPORTS_W DescriptorMatcher : public Algorithm -{ -public: - virtual ~DescriptorMatcher(); - - /* - * Add descriptors to train descriptor collection. - * descriptors Descriptors to add. Each descriptors[i] is a descriptors set from one image. - */ - CV_WRAP virtual void add( const vector& descriptors ); - /* - * Get train descriptors collection. - */ - CV_WRAP const vector& getTrainDescriptors() const; - /* - * Clear train descriptors collection. - */ - CV_WRAP virtual void clear(); - - /* - * Return true if there are not train descriptors in collection. - */ - CV_WRAP virtual bool empty() const; - /* - * Return true if the matcher supports mask in match methods. - */ - CV_WRAP virtual bool isMaskSupported() const = 0; - - /* - * Train matcher (e.g. train flann index). - * In all methods to match the method train() is run every time before matching. - * Some descriptor matchers (e.g. BruteForceMatcher) have empty implementation - * of this method, other matchers really train their inner structures - * (e.g. FlannBasedMatcher trains flann::Index). So nonempty implementation - * of train() should check the class object state and do traing/retraining - * only if the state requires that (e.g. FlannBasedMatcher trains flann::Index - * if it has not trained yet or if new descriptors have been added to the train - * collection). - */ - CV_WRAP virtual void train(); - /* - * Group of methods to match descriptors from image pair. - * Method train() is run in this methods. - */ - // Find one best match for each query descriptor (if mask is empty). - CV_WRAP void match( const Mat& queryDescriptors, const Mat& trainDescriptors, - CV_OUT vector& matches, const Mat& mask=Mat() ) const; - // Find k best matches for each query descriptor (in increasing order of distances). - // compactResult is used when mask is not empty. If compactResult is false matches - // vector will have the same size as queryDescriptors rows. If compactResult is true - // matches vector will not contain matches for fully masked out query descriptors. - CV_WRAP void knnMatch( const Mat& queryDescriptors, const Mat& trainDescriptors, - CV_OUT vector >& matches, int k, - const Mat& mask=Mat(), bool compactResult=false ) const; - // Find best matches for each query descriptor which have distance less than - // maxDistance (in increasing order of distances). - void radiusMatch( const Mat& queryDescriptors, const Mat& trainDescriptors, - vector >& matches, float maxDistance, - const Mat& mask=Mat(), bool compactResult=false ) const; - /* - * Group of methods to match descriptors from one image to image set. - * See description of similar methods for matching image pair above. - */ - CV_WRAP void match( const Mat& queryDescriptors, CV_OUT vector& matches, - const vector& masks=vector() ); - CV_WRAP void knnMatch( const Mat& queryDescriptors, CV_OUT vector >& matches, int k, - const vector& masks=vector(), bool compactResult=false ); - void radiusMatch( const Mat& queryDescriptors, vector >& matches, float maxDistance, - const vector& masks=vector(), bool compactResult=false ); - - // Reads matcher object from a file node - virtual void read( const FileNode& ); - // Writes matcher object to a file storage - virtual void write( FileStorage& ) const; - - // Clone the matcher. If emptyTrainData is false the method create deep copy of the object, i.e. copies - // both parameters and train data. If emptyTrainData is true the method create object copy with current parameters - // but with empty train data. - virtual Ptr clone( bool emptyTrainData=false ) const = 0; - - CV_WRAP static Ptr create( const string& descriptorMatcherType ); -protected: - /* - * Class to work with descriptors from several images as with one merged matrix. - * It is used e.g. in FlannBasedMatcher. - */ - class CV_EXPORTS DescriptorCollection - { - public: - DescriptorCollection(); - DescriptorCollection( const DescriptorCollection& collection ); - virtual ~DescriptorCollection(); - - // Vector of matrices "descriptors" will be merged to one matrix "mergedDescriptors" here. - void set( const vector& descriptors ); - virtual void clear(); - - const Mat& getDescriptors() const; - const Mat getDescriptor( int imgIdx, int localDescIdx ) const; - const Mat getDescriptor( int globalDescIdx ) const; - void getLocalIdx( int globalDescIdx, int& imgIdx, int& localDescIdx ) const; - - int size() const; - - protected: - Mat mergedDescriptors; - vector startIdxs; - }; - - // In fact the matching is implemented only by the following two methods. These methods suppose - // that the class object has been trained already. Public match methods call these methods - // after calling train(). - virtual void knnMatchImpl( const Mat& queryDescriptors, vector >& matches, int k, - const vector& masks=vector(), bool compactResult=false ) = 0; - virtual void radiusMatchImpl( const Mat& queryDescriptors, vector >& matches, float maxDistance, - const vector& masks=vector(), bool compactResult=false ) = 0; - - static bool isPossibleMatch( const Mat& mask, int queryIdx, int trainIdx ); - static bool isMaskedOut( const vector& masks, int queryIdx ); - - static Mat clone_op( Mat m ) { return m.clone(); } - void checkMasks( const vector& masks, int queryDescriptorsCount ) const; - - // Collection of descriptors from train images. - vector trainDescCollection; -}; - -/* - * Brute-force descriptor matcher. - * - * For each descriptor in the first set, this matcher finds the closest - * descriptor in the second set by trying each one. - * - * For efficiency, BruteForceMatcher is templated on the distance metric. - * For float descriptors, a common choice would be cv::L2. - */ -class CV_EXPORTS_W BFMatcher : public DescriptorMatcher -{ -public: - CV_WRAP BFMatcher( int normType=NORM_L2, bool crossCheck=false ); - virtual ~BFMatcher() {} - - virtual bool isMaskSupported() const { return true; } - - virtual Ptr clone( bool emptyTrainData=false ) const; - - AlgorithmInfo* info() const; -protected: - virtual void knnMatchImpl( const Mat& queryDescriptors, vector >& matches, int k, - const vector& masks=vector(), bool compactResult=false ); - virtual void radiusMatchImpl( const Mat& queryDescriptors, vector >& matches, float maxDistance, - const vector& masks=vector(), bool compactResult=false ); - - int normType; - bool crossCheck; -}; - - -/****************************************************************************************\ -* GenericDescriptorMatcher * -\****************************************************************************************/ -/* - * Abstract interface for a keypoint descriptor and matcher - */ -class GenericDescriptorMatcher; -typedef GenericDescriptorMatcher GenericDescriptorMatch; - -class CV_EXPORTS GenericDescriptorMatcher -{ -public: - GenericDescriptorMatcher(); - virtual ~GenericDescriptorMatcher(); - - /* - * Add train collection: images and keypoints from them. - * images A set of train images. - * ketpoints Keypoint collection that have been detected on train images. - * - * Keypoints for which a descriptor cannot be computed are removed. Such keypoints - * must be filtered in this method befor adding keypoints to train collection "trainPointCollection". - * If inheritor class need perform such prefiltering the method add() must be overloaded. - * In the other class methods programmer has access to the train keypoints by a constant link. - */ - virtual void add( const vector& images, - vector >& keypoints ); - - const vector& getTrainImages() const; - const vector >& getTrainKeypoints() const; - - /* - * Clear images and keypoints storing in train collection. - */ - virtual void clear(); - /* - * Returns true if matcher supports mask to match descriptors. - */ - virtual bool isMaskSupported() = 0; - /* - * Train some inner structures (e.g. flann index or decision trees). - * train() methods is run every time in matching methods. So the method implementation - * should has a check whether these inner structures need be trained/retrained or not. - */ - virtual void train(); - - /* - * Classifies query keypoints. - * queryImage The query image - * queryKeypoints Keypoints from the query image - * trainImage The train image - * trainKeypoints Keypoints from the train image - */ - // Classify keypoints from query image under one train image. - void classify( const Mat& queryImage, vector& queryKeypoints, - const Mat& trainImage, vector& trainKeypoints ) const; - // Classify keypoints from query image under train image collection. - void classify( const Mat& queryImage, vector& queryKeypoints ); - - /* - * Group of methods to match keypoints from image pair. - * Keypoints for which a descriptor cannot be computed are removed. - * train() method is called here. - */ - // Find one best match for each query descriptor (if mask is empty). - void match( const Mat& queryImage, vector& queryKeypoints, - const Mat& trainImage, vector& trainKeypoints, - vector& matches, const Mat& mask=Mat() ) const; - // Find k best matches for each query keypoint (in increasing order of distances). - // compactResult is used when mask is not empty. If compactResult is false matches - // vector will have the same size as queryDescriptors rows. - // If compactResult is true matches vector will not contain matches for fully masked out query descriptors. - void knnMatch( const Mat& queryImage, vector& queryKeypoints, - const Mat& trainImage, vector& trainKeypoints, - vector >& matches, int k, - const Mat& mask=Mat(), bool compactResult=false ) const; - // Find best matches for each query descriptor which have distance less than maxDistance (in increasing order of distances). - void radiusMatch( const Mat& queryImage, vector& queryKeypoints, - const Mat& trainImage, vector& trainKeypoints, - vector >& matches, float maxDistance, - const Mat& mask=Mat(), bool compactResult=false ) const; - /* - * Group of methods to match keypoints from one image to image set. - * See description of similar methods for matching image pair above. - */ - void match( const Mat& queryImage, vector& queryKeypoints, - vector& matches, const vector& masks=vector() ); - void knnMatch( const Mat& queryImage, vector& queryKeypoints, - vector >& matches, int k, - const vector& masks=vector(), bool compactResult=false ); - void radiusMatch( const Mat& queryImage, vector& queryKeypoints, - vector >& matches, float maxDistance, - const vector& masks=vector(), bool compactResult=false ); - - // Reads matcher object from a file node - virtual void read( const FileNode& fn ); - // Writes matcher object to a file storage - virtual void write( FileStorage& fs ) const; - - // Return true if matching object is empty (e.g. feature detector or descriptor matcher are empty) - virtual bool empty() const; - - // Clone the matcher. If emptyTrainData is false the method create deep copy of the object, i.e. copies - // both parameters and train data. If emptyTrainData is true the method create object copy with current parameters - // but with empty train data. - virtual Ptr clone( bool emptyTrainData=false ) const = 0; - - static Ptr create( const string& genericDescritptorMatcherType, - const string ¶msFilename=string() ); - -protected: - // In fact the matching is implemented only by the following two methods. These methods suppose - // that the class object has been trained already. Public match methods call these methods - // after calling train(). - virtual void knnMatchImpl( const Mat& queryImage, vector& queryKeypoints, - vector >& matches, int k, - const vector& masks, bool compactResult ) = 0; - virtual void radiusMatchImpl( const Mat& queryImage, vector& queryKeypoints, - vector >& matches, float maxDistance, - const vector& masks, bool compactResult ) = 0; - /* - * A storage for sets of keypoints together with corresponding images and class IDs - */ - class CV_EXPORTS KeyPointCollection - { - public: - KeyPointCollection(); - KeyPointCollection( const KeyPointCollection& collection ); - void add( const vector& images, const vector >& keypoints ); - void clear(); - - // Returns the total number of keypoints in the collection - size_t keypointCount() const; - size_t imageCount() const; - - const vector >& getKeypoints() const; - const vector& getKeypoints( int imgIdx ) const; - const KeyPoint& getKeyPoint( int imgIdx, int localPointIdx ) const; - const KeyPoint& getKeyPoint( int globalPointIdx ) const; - void getLocalIdx( int globalPointIdx, int& imgIdx, int& localPointIdx ) const; - - const vector& getImages() const; - const Mat& getImage( int imgIdx ) const; - - protected: - int pointCount; - - vector images; - vector > keypoints; - // global indices of the first points in each image, startIndices.size() = keypoints.size() - vector startIndices; - - private: - static Mat clone_op( Mat m ) { return m.clone(); } - }; - - KeyPointCollection trainPointCollection; -}; - - -/****************************************************************************************\ -* VectorDescriptorMatcher * -\****************************************************************************************/ - -/* - * A class used for matching descriptors that can be described as vectors in a finite-dimensional space - */ -class VectorDescriptorMatcher; -typedef VectorDescriptorMatcher VectorDescriptorMatch; - -class CV_EXPORTS VectorDescriptorMatcher : public GenericDescriptorMatcher -{ -public: - VectorDescriptorMatcher( const Ptr& extractor, const Ptr& matcher ); - virtual ~VectorDescriptorMatcher(); - - virtual void add( const vector& imgCollection, - vector >& pointCollection ); - - virtual void clear(); - - virtual void train(); - - virtual bool isMaskSupported(); - - virtual void read( const FileNode& fn ); - virtual void write( FileStorage& fs ) const; - virtual bool empty() const; - - virtual Ptr clone( bool emptyTrainData=false ) const; - -protected: - virtual void knnMatchImpl( const Mat& queryImage, vector& queryKeypoints, - vector >& matches, int k, - const vector& masks, bool compactResult ); - virtual void radiusMatchImpl( const Mat& queryImage, vector& queryKeypoints, - vector >& matches, float maxDistance, - const vector& masks, bool compactResult ); - - Ptr extractor; - Ptr matcher; -}; - -/****************************************************************************************\ -* Drawing functions * -\****************************************************************************************/ -struct CV_EXPORTS DrawMatchesFlags -{ - enum{ DEFAULT = 0, // Output image matrix will be created (Mat::create), - // i.e. existing memory of output image may be reused. - // Two source image, matches and single keypoints will be drawn. - // For each keypoint only the center point will be drawn (without - // the circle around keypoint with keypoint size and orientation). - DRAW_OVER_OUTIMG = 1, // Output image matrix will not be created (Mat::create). - // Matches will be drawn on existing content of output image. - NOT_DRAW_SINGLE_POINTS = 2, // Single keypoints will not be drawn. - DRAW_RICH_KEYPOINTS = 4 // For each keypoint the circle around keypoint with keypoint size and - // orientation will be drawn. - }; -}; - -// Draw keypoints. -CV_EXPORTS_W void drawKeypoints( const Mat& image, const vector& keypoints, CV_OUT Mat& outImage, - const Scalar& color=Scalar::all(-1), int flags=DrawMatchesFlags::DEFAULT ); - -// Draws matches of keypints from two images on output image. -CV_EXPORTS void drawMatches( const Mat& img1, const vector& keypoints1, - const Mat& img2, const vector& keypoints2, - const vector& matches1to2, Mat& outImg, - const Scalar& matchColor=Scalar::all(-1), const Scalar& singlePointColor=Scalar::all(-1), - const vector& matchesMask=vector(), int flags=DrawMatchesFlags::DEFAULT ); - -CV_EXPORTS void drawMatches( const Mat& img1, const vector& keypoints1, - const Mat& img2, const vector& keypoints2, - const vector >& matches1to2, Mat& outImg, - const Scalar& matchColor=Scalar::all(-1), const Scalar& singlePointColor=Scalar::all(-1), - const vector >& matchesMask=vector >(), int flags=DrawMatchesFlags::DEFAULT ); - -/****************************************************************************************\ -* Functions to evaluate the feature detectors and [generic] descriptor extractors * -\****************************************************************************************/ - -CV_EXPORTS void evaluateFeatureDetector( const Mat& img1, const Mat& img2, const Mat& H1to2, - vector* keypoints1, vector* keypoints2, - float& repeatability, int& correspCount, - const Ptr& fdetector=Ptr() ); - -CV_EXPORTS void computeRecallPrecisionCurve( const vector >& matches1to2, - const vector >& correctMatches1to2Mask, - vector& recallPrecisionCurve ); - -CV_EXPORTS float getRecall( const vector& recallPrecisionCurve, float l_precision ); -CV_EXPORTS int getNearestPoint( const vector& recallPrecisionCurve, float l_precision ); - -CV_EXPORTS void evaluateGenericDescriptorMatcher( const Mat& img1, const Mat& img2, const Mat& H1to2, - vector& keypoints1, vector& keypoints2, - vector >* matches1to2, vector >* correctMatches1to2Mask, - vector& recallPrecisionCurve, - const Ptr& dmatch=Ptr() ); - - -/****************************************************************************************\ -* Bag of visual words * -\****************************************************************************************/ -/* - * Abstract base class for training of a 'bag of visual words' vocabulary from a set of descriptors - */ -class CV_EXPORTS_W BOWTrainer -{ -public: - BOWTrainer(); - virtual ~BOWTrainer(); - - CV_WRAP void add( const Mat& descriptors ); - CV_WRAP const vector& getDescriptors() const; - CV_WRAP int descripotorsCount() const; - - CV_WRAP virtual void clear(); - - /* - * Train visual words vocabulary, that is cluster training descriptors and - * compute cluster centers. - * Returns cluster centers. - * - * descriptors Training descriptors computed on images keypoints. - */ - CV_WRAP virtual Mat cluster() const = 0; - CV_WRAP virtual Mat cluster( const Mat& descriptors ) const = 0; - -protected: - vector descriptors; - int size; -}; - -/* - * This is BOWTrainer using cv::kmeans to get vocabulary. - */ -class CV_EXPORTS_W BOWKMeansTrainer : public BOWTrainer -{ -public: - CV_WRAP BOWKMeansTrainer( int clusterCount, const TermCriteria& termcrit=TermCriteria(), - int attempts=3, int flags=KMEANS_PP_CENTERS ); - virtual ~BOWKMeansTrainer(); - - // Returns trained vocabulary (i.e. cluster centers). - CV_WRAP virtual Mat cluster() const; - CV_WRAP virtual Mat cluster( const Mat& descriptors ) const; - -protected: - - int clusterCount; - TermCriteria termcrit; - int attempts; - int flags; -}; - -/* - * Class to compute image descriptor using bag of visual words. - */ -class CV_EXPORTS_W BOWImgDescriptorExtractor -{ -public: - CV_WRAP BOWImgDescriptorExtractor( const Ptr& dextractor, - const Ptr& dmatcher ); - virtual ~BOWImgDescriptorExtractor(); - - CV_WRAP void setVocabulary( const Mat& vocabulary ); - CV_WRAP const Mat& getVocabulary() const; - void compute( const Mat& image, vector& keypoints, Mat& imgDescriptor, - vector >* pointIdxsOfClusters=0, Mat* descriptors=0 ); - // compute() is not constant because DescriptorMatcher::match is not constant - - CV_WRAP_AS(compute) void compute2( const Mat& image, vector& keypoints, CV_OUT Mat& imgDescriptor ) - { compute(image,keypoints,imgDescriptor); } - - CV_WRAP int descriptorSize() const; - CV_WRAP int descriptorType() const; - -protected: - Mat vocabulary; - Ptr dextractor; - Ptr dmatcher; -}; - -} /* namespace cv */ - -#endif /* __cplusplus */ - -#endif - -/* End of file. */ diff --git a/phonelibs/opencv/include/opencv2/highgui/cap_ios.h b/phonelibs/opencv/include/opencv2/highgui/cap_ios.h deleted file mode 100644 index 4c931d400f..0000000000 --- a/phonelibs/opencv/include/opencv2/highgui/cap_ios.h +++ /dev/null @@ -1,171 +0,0 @@ -/* For iOS video I/O - * by Eduard Feicho on 29/07/12 - * Copyright 2012. All rights reserved. - * - * Redistribution and use in source and binary forms, with or without - * modification, are permitted provided that the following conditions are met: - * - * 1. Redistributions of source code must retain the above copyright notice, - * this list of conditions and the following disclaimer. - * 2. Redistributions in binary form must reproduce the above copyright notice, - * this list of conditions and the following disclaimer in the documentation - * and/or other materials provided with the distribution. - * 3. The name of the author may not be used to endorse or promote products - * derived from this software without specific prior written permission. - * - * THIS SOFTWARE IS PROVIDED BY THE AUTHOR "AS IS" AND ANY EXPRESS OR IMPLIED - * WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF - * MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO - * EVENT SHALL THE AUTHOR BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, - * SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, - * PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; - * OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, - * WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR - * OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF - * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. - * - */ - -#import -#import -#import -#import -#include "opencv2/core/core.hpp" - -/////////////////////////////////////// CvAbstractCamera ///////////////////////////////////// - -@class CvAbstractCamera; - -@interface CvAbstractCamera : NSObject -{ - AVCaptureSession* captureSession; - AVCaptureConnection* videoCaptureConnection; - AVCaptureVideoPreviewLayer *captureVideoPreviewLayer; - - UIDeviceOrientation currentDeviceOrientation; - - BOOL cameraAvailable; - BOOL captureSessionLoaded; - BOOL running; - BOOL useAVCaptureVideoPreviewLayer; - - AVCaptureDevicePosition defaultAVCaptureDevicePosition; - AVCaptureVideoOrientation defaultAVCaptureVideoOrientation; - NSString *const defaultAVCaptureSessionPreset; - - int defaultFPS; - - UIView* parentView; - - int imageWidth; - int imageHeight; -} - -@property (nonatomic, retain) AVCaptureSession* captureSession; -@property (nonatomic, retain) AVCaptureConnection* videoCaptureConnection; - -@property (nonatomic, readonly) BOOL running; -@property (nonatomic, readonly) BOOL captureSessionLoaded; - -@property (nonatomic, assign) int defaultFPS; -@property (nonatomic, readonly) AVCaptureVideoPreviewLayer *captureVideoPreviewLayer; -@property (nonatomic, assign) AVCaptureDevicePosition defaultAVCaptureDevicePosition; -@property (nonatomic, assign) AVCaptureVideoOrientation defaultAVCaptureVideoOrientation; -@property (nonatomic, assign) BOOL useAVCaptureVideoPreviewLayer; -@property (nonatomic, strong) NSString *const defaultAVCaptureSessionPreset; - -@property (nonatomic, assign) int imageWidth; -@property (nonatomic, assign) int imageHeight; - -@property (nonatomic, retain) UIView* parentView; - -- (void)start; -- (void)stop; -- (void)switchCameras; - -- (id)initWithParentView:(UIView*)parent; - -- (void)createCaptureOutput; -- (void)createVideoPreviewLayer; -- (void)updateOrientation; - -- (void)lockFocus; -- (void)unlockFocus; -- (void)lockExposure; -- (void)unlockExposure; -- (void)lockBalance; -- (void)unlockBalance; - -@end - -///////////////////////////////// CvVideoCamera /////////////////////////////////////////// - -@class CvVideoCamera; - -@protocol CvVideoCameraDelegate - -#ifdef __cplusplus -// delegate method for processing image frames -- (void)processImage:(cv::Mat&)image; -#endif - -@end - -@interface CvVideoCamera : CvAbstractCamera -{ - AVCaptureVideoDataOutput *videoDataOutput; - - dispatch_queue_t videoDataOutputQueue; - CALayer *customPreviewLayer; - - BOOL grayscaleMode; - - BOOL recordVideo; - BOOL rotateVideo; - AVAssetWriterInput* recordAssetWriterInput; - AVAssetWriterInputPixelBufferAdaptor* recordPixelBufferAdaptor; - AVAssetWriter* recordAssetWriter; - - CMTime lastSampleTime; - -} - -@property (nonatomic, assign) id delegate; -@property (nonatomic, assign) BOOL grayscaleMode; - -@property (nonatomic, assign) BOOL recordVideo; -@property (nonatomic, assign) BOOL rotateVideo; -@property (nonatomic, retain) AVAssetWriterInput* recordAssetWriterInput; -@property (nonatomic, retain) AVAssetWriterInputPixelBufferAdaptor* recordPixelBufferAdaptor; -@property (nonatomic, retain) AVAssetWriter* recordAssetWriter; - -- (void)adjustLayoutToInterfaceOrientation:(UIInterfaceOrientation)interfaceOrientation; -- (void)layoutPreviewLayer; -- (void)saveVideo; -- (NSURL *)videoFileURL; -- (NSString *)videoFileString; - - -@end - -///////////////////////////////// CvPhotoCamera /////////////////////////////////////////// - -@class CvPhotoCamera; - -@protocol CvPhotoCameraDelegate - -- (void)photoCamera:(CvPhotoCamera*)photoCamera capturedImage:(UIImage *)image; -- (void)photoCameraCancel:(CvPhotoCamera*)photoCamera; - -@end - -@interface CvPhotoCamera : CvAbstractCamera -{ - AVCaptureStillImageOutput *stillImageOutput; -} - -@property (nonatomic, assign) id delegate; - -- (void)takePicture; - -@end diff --git a/phonelibs/opencv/include/opencv2/highgui/highgui.hpp b/phonelibs/opencv/include/opencv2/highgui/highgui.hpp deleted file mode 100644 index f6f2293042..0000000000 --- a/phonelibs/opencv/include/opencv2/highgui/highgui.hpp +++ /dev/null @@ -1,255 +0,0 @@ -/*M/////////////////////////////////////////////////////////////////////////////////////// -// -// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING. -// -// By downloading, copying, installing or using the software you agree to this license. -// If you do not agree to this license, do not download, install, -// copy or use the software. -// -// -// License Agreement -// For Open Source Computer Vision Library -// -// Copyright (C) 2000-2008, Intel Corporation, all rights reserved. -// Copyright (C) 2009, Willow Garage Inc., all rights reserved. -// Third party copyrights are property of their respective owners. -// -// Redistribution and use in source and binary forms, with or without modification, -// are permitted provided that the following conditions are met: -// -// * Redistribution's of source code must retain the above copyright notice, -// this list of conditions and the following disclaimer. -// -// * Redistribution's in binary form must reproduce the above copyright notice, -// this list of conditions and the following disclaimer in the documentation -// and/or other materials provided with the distribution. -// -// * The name of the copyright holders may not be used to endorse or promote products -// derived from this software without specific prior written permission. -// -// This software is provided by the copyright holders and contributors "as is" and -// any express or implied warranties, including, but not limited to, the implied -// warranties of merchantability and fitness for a particular purpose are disclaimed. -// In no event shall the Intel Corporation or contributors be liable for any direct, -// indirect, incidental, special, exemplary, or consequential damages -// (including, but not limited to, procurement of substitute goods or services; -// loss of use, data, or profits; or business interruption) however caused -// and on any theory of liability, whether in contract, strict liability, -// or tort (including negligence or otherwise) arising in any way out of -// the use of this software, even if advised of the possibility of such damage. -// -//M*/ - -#ifndef __OPENCV_HIGHGUI_HPP__ -#define __OPENCV_HIGHGUI_HPP__ - -#include "opencv2/core/core.hpp" -#include "opencv2/highgui/highgui_c.h" - -#ifdef __cplusplus - -struct CvCapture; -struct CvVideoWriter; - -namespace cv -{ - -enum { - // Flags for namedWindow - WINDOW_NORMAL = CV_WINDOW_NORMAL, // the user can resize the window (no constraint) / also use to switch a fullscreen window to a normal size - WINDOW_AUTOSIZE = CV_WINDOW_AUTOSIZE, // the user cannot resize the window, the size is constrainted by the image displayed - WINDOW_OPENGL = CV_WINDOW_OPENGL, // window with opengl support - - // Flags for set / getWindowProperty - WND_PROP_FULLSCREEN = CV_WND_PROP_FULLSCREEN, // fullscreen property - WND_PROP_AUTOSIZE = CV_WND_PROP_AUTOSIZE, // autosize property - WND_PROP_ASPECT_RATIO = CV_WND_PROP_ASPECTRATIO, // window's aspect ration - WND_PROP_OPENGL = CV_WND_PROP_OPENGL // opengl support -}; - -CV_EXPORTS_W void namedWindow(const string& winname, int flags = WINDOW_AUTOSIZE); -CV_EXPORTS_W void destroyWindow(const string& winname); -CV_EXPORTS_W void destroyAllWindows(); - -CV_EXPORTS_W int startWindowThread(); - -CV_EXPORTS_W int waitKey(int delay = 0); - -CV_EXPORTS_W void imshow(const string& winname, InputArray mat); - -CV_EXPORTS_W void resizeWindow(const string& winname, int width, int height); -CV_EXPORTS_W void moveWindow(const string& winname, int x, int y); - -CV_EXPORTS_W void setWindowProperty(const string& winname, int prop_id, double prop_value);//YV -CV_EXPORTS_W double getWindowProperty(const string& winname, int prop_id);//YV - -enum -{ - EVENT_MOUSEMOVE =0, - EVENT_LBUTTONDOWN =1, - EVENT_RBUTTONDOWN =2, - EVENT_MBUTTONDOWN =3, - EVENT_LBUTTONUP =4, - EVENT_RBUTTONUP =5, - EVENT_MBUTTONUP =6, - EVENT_LBUTTONDBLCLK =7, - EVENT_RBUTTONDBLCLK =8, - EVENT_MBUTTONDBLCLK =9 -}; - -enum -{ - EVENT_FLAG_LBUTTON =1, - EVENT_FLAG_RBUTTON =2, - EVENT_FLAG_MBUTTON =4, - EVENT_FLAG_CTRLKEY =8, - EVENT_FLAG_SHIFTKEY =16, - EVENT_FLAG_ALTKEY =32 -}; - -typedef void (*MouseCallback)(int event, int x, int y, int flags, void* userdata); - -//! assigns callback for mouse events -CV_EXPORTS void setMouseCallback(const string& winname, MouseCallback onMouse, void* userdata = 0); - - -typedef void (CV_CDECL *TrackbarCallback)(int pos, void* userdata); - -CV_EXPORTS int createTrackbar(const string& trackbarname, const string& winname, - int* value, int count, - TrackbarCallback onChange = 0, - void* userdata = 0); - -CV_EXPORTS_W int getTrackbarPos(const string& trackbarname, const string& winname); -CV_EXPORTS_W void setTrackbarPos(const string& trackbarname, const string& winname, int pos); - -// OpenGL support - -typedef void (*OpenGlDrawCallback)(void* userdata); -CV_EXPORTS void setOpenGlDrawCallback(const string& winname, OpenGlDrawCallback onOpenGlDraw, void* userdata = 0); - -CV_EXPORTS void setOpenGlContext(const string& winname); - -CV_EXPORTS void updateWindow(const string& winname); - -// < Deperecated -CV_EXPORTS void pointCloudShow(const string& winname, const GlCamera& camera, const GlArrays& arr); -CV_EXPORTS void pointCloudShow(const string& winname, const GlCamera& camera, InputArray points, InputArray colors = noArray()); -// > - -//Only for Qt - -CV_EXPORTS CvFont fontQt(const string& nameFont, int pointSize=-1, - Scalar color=Scalar::all(0), int weight=CV_FONT_NORMAL, - int style=CV_STYLE_NORMAL, int spacing=0); -CV_EXPORTS void addText( const Mat& img, const string& text, Point org, CvFont font); - -CV_EXPORTS void displayOverlay(const string& winname, const string& text, int delayms CV_DEFAULT(0)); -CV_EXPORTS void displayStatusBar(const string& winname, const string& text, int delayms CV_DEFAULT(0)); - -CV_EXPORTS void saveWindowParameters(const string& windowName); -CV_EXPORTS void loadWindowParameters(const string& windowName); -CV_EXPORTS int startLoop(int (*pt2Func)(int argc, char *argv[]), int argc, char* argv[]); -CV_EXPORTS void stopLoop(); - -typedef void (CV_CDECL *ButtonCallback)(int state, void* userdata); -CV_EXPORTS int createButton( const string& bar_name, ButtonCallback on_change, - void* userdata=NULL, int type=CV_PUSH_BUTTON, - bool initial_button_state=0); - -//------------------------- - -enum -{ - // 8bit, color or not - IMREAD_UNCHANGED =-1, - // 8bit, gray - IMREAD_GRAYSCALE =0, - // ?, color - IMREAD_COLOR =1, - // any depth, ? - IMREAD_ANYDEPTH =2, - // ?, any color - IMREAD_ANYCOLOR =4 -}; - -enum -{ - IMWRITE_JPEG_QUALITY =1, - IMWRITE_PNG_COMPRESSION =16, - IMWRITE_PNG_STRATEGY =17, - IMWRITE_PNG_BILEVEL =18, - IMWRITE_PNG_STRATEGY_DEFAULT =0, - IMWRITE_PNG_STRATEGY_FILTERED =1, - IMWRITE_PNG_STRATEGY_HUFFMAN_ONLY =2, - IMWRITE_PNG_STRATEGY_RLE =3, - IMWRITE_PNG_STRATEGY_FIXED =4, - IMWRITE_PXM_BINARY =32 -}; - -CV_EXPORTS_W Mat imread( const string& filename, int flags=1 ); -CV_EXPORTS_W bool imwrite( const string& filename, InputArray img, - const vector& params=vector()); -CV_EXPORTS_W Mat imdecode( InputArray buf, int flags ); -CV_EXPORTS Mat imdecode( InputArray buf, int flags, Mat* dst ); -CV_EXPORTS_W bool imencode( const string& ext, InputArray img, - CV_OUT vector& buf, - const vector& params=vector()); - -#ifndef CV_NO_VIDEO_CAPTURE_CPP_API - -template<> void CV_EXPORTS Ptr::delete_obj(); -template<> void CV_EXPORTS Ptr::delete_obj(); - -class CV_EXPORTS_W VideoCapture -{ -public: - CV_WRAP VideoCapture(); - CV_WRAP VideoCapture(const string& filename); - CV_WRAP VideoCapture(int device); - - virtual ~VideoCapture(); - CV_WRAP virtual bool open(const string& filename); - CV_WRAP virtual bool open(int device); - CV_WRAP virtual bool isOpened() const; - CV_WRAP virtual void release(); - - CV_WRAP virtual bool grab(); - CV_WRAP virtual bool retrieve(CV_OUT Mat& image, int channel=0); - virtual VideoCapture& operator >> (CV_OUT Mat& image); - CV_WRAP virtual bool read(CV_OUT Mat& image); - - CV_WRAP virtual bool set(int propId, double value); - CV_WRAP virtual double get(int propId); - -protected: - Ptr cap; -}; - - -class CV_EXPORTS_W VideoWriter -{ -public: - CV_WRAP VideoWriter(); - CV_WRAP VideoWriter(const string& filename, int fourcc, double fps, - Size frameSize, bool isColor=true); - - virtual ~VideoWriter(); - CV_WRAP virtual bool open(const string& filename, int fourcc, double fps, - Size frameSize, bool isColor=true); - CV_WRAP virtual bool isOpened() const; - CV_WRAP virtual void release(); - virtual VideoWriter& operator << (const Mat& image); - CV_WRAP virtual void write(const Mat& image); - -protected: - Ptr writer; -}; - -#endif - -} - -#endif - -#endif diff --git a/phonelibs/opencv/include/opencv2/highgui/highgui_c.h b/phonelibs/opencv/include/opencv2/highgui/highgui_c.h deleted file mode 100644 index 85a59bb063..0000000000 --- a/phonelibs/opencv/include/opencv2/highgui/highgui_c.h +++ /dev/null @@ -1,660 +0,0 @@ -/*M/////////////////////////////////////////////////////////////////////////////////////// -// -// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING. -// -// By downloading, copying, installing or using the software you agree to this license. -// If you do not agree to this license, do not download, install, -// copy or use the software. -// -// -// Intel License Agreement -// For Open Source Computer Vision Library -// -// Copyright (C) 2000, Intel Corporation, all rights reserved. -// Third party copyrights are property of their respective owners. -// -// Redistribution and use in source and binary forms, with or without modification, -// are permitted provided that the following conditions are met: -// -// * Redistribution's of source code must retain the above copyright notice, -// this list of conditions and the following disclaimer. -// -// * Redistribution's in binary form must reproduce the above copyright notice, -// this list of conditions and the following disclaimer in the documentation -// and/or other materials provided with the distribution. -// -// * The name of Intel Corporation may not be used to endorse or promote products -// derived from this software without specific prior written permission. -// -// This software is provided by the copyright holders and contributors "as is" and -// any express or implied warranties, including, but not limited to, the implied -// warranties of merchantability and fitness for a particular purpose are disclaimed. -// In no event shall the Intel Corporation or contributors be liable for any direct, -// indirect, incidental, special, exemplary, or consequential damages -// (including, but not limited to, procurement of substitute goods or services; -// loss of use, data, or profits; or business interruption) however caused -// and on any theory of liability, whether in contract, strict liability, -// or tort (including negligence or otherwise) arising in any way out of -// the use of this software, even if advised of the possibility of such damage. -// -//M*/ - -#ifndef __OPENCV_HIGHGUI_H__ -#define __OPENCV_HIGHGUI_H__ - -#include "opencv2/core/core_c.h" - -#ifdef __cplusplus -extern "C" { -#endif /* __cplusplus */ - -/****************************************************************************************\ -* Basic GUI functions * -\****************************************************************************************/ -//YV -//-----------New for Qt -/* For font */ -enum { CV_FONT_LIGHT = 25,//QFont::Light, - CV_FONT_NORMAL = 50,//QFont::Normal, - CV_FONT_DEMIBOLD = 63,//QFont::DemiBold, - CV_FONT_BOLD = 75,//QFont::Bold, - CV_FONT_BLACK = 87 //QFont::Black -}; - -enum { CV_STYLE_NORMAL = 0,//QFont::StyleNormal, - CV_STYLE_ITALIC = 1,//QFont::StyleItalic, - CV_STYLE_OBLIQUE = 2 //QFont::StyleOblique -}; -/* ---------*/ - -//for color cvScalar(blue_component, green_component, red\_component[, alpha_component]) -//and alpha= 0 <-> 0xFF (not transparent <-> transparent) -CVAPI(CvFont) cvFontQt(const char* nameFont, int pointSize CV_DEFAULT(-1), CvScalar color CV_DEFAULT(cvScalarAll(0)), int weight CV_DEFAULT(CV_FONT_NORMAL), int style CV_DEFAULT(CV_STYLE_NORMAL), int spacing CV_DEFAULT(0)); - -CVAPI(void) cvAddText(const CvArr* img, const char* text, CvPoint org, CvFont *arg2); - -CVAPI(void) cvDisplayOverlay(const char* name, const char* text, int delayms CV_DEFAULT(0)); -CVAPI(void) cvDisplayStatusBar(const char* name, const char* text, int delayms CV_DEFAULT(0)); - -CVAPI(void) cvSaveWindowParameters(const char* name); -CVAPI(void) cvLoadWindowParameters(const char* name); -CVAPI(int) cvStartLoop(int (*pt2Func)(int argc, char *argv[]), int argc, char* argv[]); -CVAPI(void) cvStopLoop( void ); - -typedef void (CV_CDECL *CvButtonCallback)(int state, void* userdata); -enum {CV_PUSH_BUTTON = 0, CV_CHECKBOX = 1, CV_RADIOBOX = 2}; -CVAPI(int) cvCreateButton( const char* button_name CV_DEFAULT(NULL),CvButtonCallback on_change CV_DEFAULT(NULL), void* userdata CV_DEFAULT(NULL) , int button_type CV_DEFAULT(CV_PUSH_BUTTON), int initial_button_state CV_DEFAULT(0)); -//---------------------- - - -/* this function is used to set some external parameters in case of X Window */ -CVAPI(int) cvInitSystem( int argc, char** argv ); - -CVAPI(int) cvStartWindowThread( void ); - -// --------- YV --------- -enum -{ - //These 3 flags are used by cvSet/GetWindowProperty - CV_WND_PROP_FULLSCREEN = 0, //to change/get window's fullscreen property - CV_WND_PROP_AUTOSIZE = 1, //to change/get window's autosize property - CV_WND_PROP_ASPECTRATIO= 2, //to change/get window's aspectratio property - CV_WND_PROP_OPENGL = 3, //to change/get window's opengl support - - //These 2 flags are used by cvNamedWindow and cvSet/GetWindowProperty - CV_WINDOW_NORMAL = 0x00000000, //the user can resize the window (no constraint) / also use to switch a fullscreen window to a normal size - CV_WINDOW_AUTOSIZE = 0x00000001, //the user cannot resize the window, the size is constrainted by the image displayed - CV_WINDOW_OPENGL = 0x00001000, //window with opengl support - - //Those flags are only for Qt - CV_GUI_EXPANDED = 0x00000000, //status bar and tool bar - CV_GUI_NORMAL = 0x00000010, //old fashious way - - //These 3 flags are used by cvNamedWindow and cvSet/GetWindowProperty - CV_WINDOW_FULLSCREEN = 1,//change the window to fullscreen - CV_WINDOW_FREERATIO = 0x00000100,//the image expends as much as it can (no ratio constraint) - CV_WINDOW_KEEPRATIO = 0x00000000//the ration image is respected. -}; - -/* create window */ -CVAPI(int) cvNamedWindow( const char* name, int flags CV_DEFAULT(CV_WINDOW_AUTOSIZE) ); - -/* Set and Get Property of the window */ -CVAPI(void) cvSetWindowProperty(const char* name, int prop_id, double prop_value); -CVAPI(double) cvGetWindowProperty(const char* name, int prop_id); - -/* display image within window (highgui windows remember their content) */ -CVAPI(void) cvShowImage( const char* name, const CvArr* image ); - -/* resize/move window */ -CVAPI(void) cvResizeWindow( const char* name, int width, int height ); -CVAPI(void) cvMoveWindow( const char* name, int x, int y ); - - -/* destroy window and all the trackers associated with it */ -CVAPI(void) cvDestroyWindow( const char* name ); - -CVAPI(void) cvDestroyAllWindows(void); - -/* get native window handle (HWND in case of Win32 and Widget in case of X Window) */ -CVAPI(void*) cvGetWindowHandle( const char* name ); - -/* get name of highgui window given its native handle */ -CVAPI(const char*) cvGetWindowName( void* window_handle ); - - -typedef void (CV_CDECL *CvTrackbarCallback)(int pos); - -/* create trackbar and display it on top of given window, set callback */ -CVAPI(int) cvCreateTrackbar( const char* trackbar_name, const char* window_name, - int* value, int count, CvTrackbarCallback on_change CV_DEFAULT(NULL)); - -typedef void (CV_CDECL *CvTrackbarCallback2)(int pos, void* userdata); - -CVAPI(int) cvCreateTrackbar2( const char* trackbar_name, const char* window_name, - int* value, int count, CvTrackbarCallback2 on_change, - void* userdata CV_DEFAULT(0)); - -/* retrieve or set trackbar position */ -CVAPI(int) cvGetTrackbarPos( const char* trackbar_name, const char* window_name ); -CVAPI(void) cvSetTrackbarPos( const char* trackbar_name, const char* window_name, int pos ); -CVAPI(void) cvSetTrackbarMax(const char* trackbar_name, const char* window_name, int maxval); - -enum -{ - CV_EVENT_MOUSEMOVE =0, - CV_EVENT_LBUTTONDOWN =1, - CV_EVENT_RBUTTONDOWN =2, - CV_EVENT_MBUTTONDOWN =3, - CV_EVENT_LBUTTONUP =4, - CV_EVENT_RBUTTONUP =5, - CV_EVENT_MBUTTONUP =6, - CV_EVENT_LBUTTONDBLCLK =7, - CV_EVENT_RBUTTONDBLCLK =8, - CV_EVENT_MBUTTONDBLCLK =9 -}; - -enum -{ - CV_EVENT_FLAG_LBUTTON =1, - CV_EVENT_FLAG_RBUTTON =2, - CV_EVENT_FLAG_MBUTTON =4, - CV_EVENT_FLAG_CTRLKEY =8, - CV_EVENT_FLAG_SHIFTKEY =16, - CV_EVENT_FLAG_ALTKEY =32 -}; - -typedef void (CV_CDECL *CvMouseCallback )(int event, int x, int y, int flags, void* param); - -/* assign callback for mouse events */ -CVAPI(void) cvSetMouseCallback( const char* window_name, CvMouseCallback on_mouse, - void* param CV_DEFAULT(NULL)); - -enum -{ -/* 8bit, color or not */ - CV_LOAD_IMAGE_UNCHANGED =-1, -/* 8bit, gray */ - CV_LOAD_IMAGE_GRAYSCALE =0, -/* ?, color */ - CV_LOAD_IMAGE_COLOR =1, -/* any depth, ? */ - CV_LOAD_IMAGE_ANYDEPTH =2, -/* ?, any color */ - CV_LOAD_IMAGE_ANYCOLOR =4 -}; - -/* load image from file - iscolor can be a combination of above flags where CV_LOAD_IMAGE_UNCHANGED - overrides the other flags - using CV_LOAD_IMAGE_ANYCOLOR alone is equivalent to CV_LOAD_IMAGE_UNCHANGED - unless CV_LOAD_IMAGE_ANYDEPTH is specified images are converted to 8bit -*/ -CVAPI(IplImage*) cvLoadImage( const char* filename, int iscolor CV_DEFAULT(CV_LOAD_IMAGE_COLOR)); -CVAPI(CvMat*) cvLoadImageM( const char* filename, int iscolor CV_DEFAULT(CV_LOAD_IMAGE_COLOR)); - -enum -{ - CV_IMWRITE_JPEG_QUALITY =1, - CV_IMWRITE_PNG_COMPRESSION =16, - CV_IMWRITE_PNG_STRATEGY =17, - CV_IMWRITE_PNG_BILEVEL =18, - CV_IMWRITE_PNG_STRATEGY_DEFAULT =0, - CV_IMWRITE_PNG_STRATEGY_FILTERED =1, - CV_IMWRITE_PNG_STRATEGY_HUFFMAN_ONLY =2, - CV_IMWRITE_PNG_STRATEGY_RLE =3, - CV_IMWRITE_PNG_STRATEGY_FIXED =4, - CV_IMWRITE_PXM_BINARY =32 -}; - -/* save image to file */ -CVAPI(int) cvSaveImage( const char* filename, const CvArr* image, - const int* params CV_DEFAULT(0) ); - -/* decode image stored in the buffer */ -CVAPI(IplImage*) cvDecodeImage( const CvMat* buf, int iscolor CV_DEFAULT(CV_LOAD_IMAGE_COLOR)); -CVAPI(CvMat*) cvDecodeImageM( const CvMat* buf, int iscolor CV_DEFAULT(CV_LOAD_IMAGE_COLOR)); - -/* encode image and store the result as a byte vector (single-row 8uC1 matrix) */ -CVAPI(CvMat*) cvEncodeImage( const char* ext, const CvArr* image, - const int* params CV_DEFAULT(0) ); - -enum -{ - CV_CVTIMG_FLIP =1, - CV_CVTIMG_SWAP_RB =2 -}; - -/* utility function: convert one image to another with optional vertical flip */ -CVAPI(void) cvConvertImage( const CvArr* src, CvArr* dst, int flags CV_DEFAULT(0)); - -/* wait for key event infinitely (delay<=0) or for "delay" milliseconds */ -CVAPI(int) cvWaitKey(int delay CV_DEFAULT(0)); - -// OpenGL support - -typedef void (CV_CDECL *CvOpenGlDrawCallback)(void* userdata); -CVAPI(void) cvSetOpenGlDrawCallback(const char* window_name, CvOpenGlDrawCallback callback, void* userdata CV_DEFAULT(NULL)); - -CVAPI(void) cvSetOpenGlContext(const char* window_name); -CVAPI(void) cvUpdateWindow(const char* window_name); - - -/****************************************************************************************\ -* Working with Video Files and Cameras * -\****************************************************************************************/ - -/* "black box" capture structure */ -typedef struct CvCapture CvCapture; - -/* start capturing frames from video file */ -CVAPI(CvCapture*) cvCreateFileCapture( const char* filename ); - -enum -{ - CV_CAP_ANY =0, // autodetect - - CV_CAP_MIL =100, // MIL proprietary drivers - - CV_CAP_VFW =200, // platform native - CV_CAP_V4L =200, - CV_CAP_V4L2 =200, - - CV_CAP_FIREWARE =300, // IEEE 1394 drivers - CV_CAP_FIREWIRE =300, - CV_CAP_IEEE1394 =300, - CV_CAP_DC1394 =300, - CV_CAP_CMU1394 =300, - - CV_CAP_STEREO =400, // TYZX proprietary drivers - CV_CAP_TYZX =400, - CV_TYZX_LEFT =400, - CV_TYZX_RIGHT =401, - CV_TYZX_COLOR =402, - CV_TYZX_Z =403, - - CV_CAP_QT =500, // QuickTime - - CV_CAP_UNICAP =600, // Unicap drivers - - CV_CAP_DSHOW =700, // DirectShow (via videoInput) - CV_CAP_MSMF =1400, // Microsoft Media Foundation (via videoInput) - - CV_CAP_PVAPI =800, // PvAPI, Prosilica GigE SDK - - CV_CAP_OPENNI =900, // OpenNI (for Kinect) - CV_CAP_OPENNI_ASUS =910, // OpenNI (for Asus Xtion) - - CV_CAP_ANDROID =1000, // Android - CV_CAP_ANDROID_BACK =CV_CAP_ANDROID+99, // Android back camera - CV_CAP_ANDROID_FRONT =CV_CAP_ANDROID+98, // Android front camera - - CV_CAP_XIAPI =1100, // XIMEA Camera API - - CV_CAP_AVFOUNDATION = 1200, // AVFoundation framework for iOS (OS X Lion will have the same API) - - CV_CAP_GIGANETIX = 1300, // Smartek Giganetix GigEVisionSDK - - CV_CAP_INTELPERC = 1500 // Intel Perceptual Computing SDK -}; - -/* start capturing frames from camera: index = camera_index + domain_offset (CV_CAP_*) */ -CVAPI(CvCapture*) cvCreateCameraCapture( int index ); - -/* grab a frame, return 1 on success, 0 on fail. - this function is thought to be fast */ -CVAPI(int) cvGrabFrame( CvCapture* capture ); - -/* get the frame grabbed with cvGrabFrame(..) - This function may apply some frame processing like - frame decompression, flipping etc. - !!!DO NOT RELEASE or MODIFY the retrieved frame!!! */ -CVAPI(IplImage*) cvRetrieveFrame( CvCapture* capture, int streamIdx CV_DEFAULT(0) ); - -/* Just a combination of cvGrabFrame and cvRetrieveFrame - !!!DO NOT RELEASE or MODIFY the retrieved frame!!! */ -CVAPI(IplImage*) cvQueryFrame( CvCapture* capture ); - -/* stop capturing/reading and free resources */ -CVAPI(void) cvReleaseCapture( CvCapture** capture ); - -enum -{ - // modes of the controlling registers (can be: auto, manual, auto single push, absolute Latter allowed with any other mode) - // every feature can have only one mode turned on at a time - CV_CAP_PROP_DC1394_OFF = -4, //turn the feature off (not controlled manually nor automatically) - CV_CAP_PROP_DC1394_MODE_MANUAL = -3, //set automatically when a value of the feature is set by the user - CV_CAP_PROP_DC1394_MODE_AUTO = -2, - CV_CAP_PROP_DC1394_MODE_ONE_PUSH_AUTO = -1, - CV_CAP_PROP_POS_MSEC =0, - CV_CAP_PROP_POS_FRAMES =1, - CV_CAP_PROP_POS_AVI_RATIO =2, - CV_CAP_PROP_FRAME_WIDTH =3, - CV_CAP_PROP_FRAME_HEIGHT =4, - CV_CAP_PROP_FPS =5, - CV_CAP_PROP_FOURCC =6, - CV_CAP_PROP_FRAME_COUNT =7, - CV_CAP_PROP_FORMAT =8, - CV_CAP_PROP_MODE =9, - CV_CAP_PROP_BRIGHTNESS =10, - CV_CAP_PROP_CONTRAST =11, - CV_CAP_PROP_SATURATION =12, - CV_CAP_PROP_HUE =13, - CV_CAP_PROP_GAIN =14, - CV_CAP_PROP_EXPOSURE =15, - CV_CAP_PROP_CONVERT_RGB =16, - CV_CAP_PROP_WHITE_BALANCE_U =17, - CV_CAP_PROP_RECTIFICATION =18, - CV_CAP_PROP_MONOCROME =19, - CV_CAP_PROP_SHARPNESS =20, - CV_CAP_PROP_AUTO_EXPOSURE =21, // exposure control done by camera, - // user can adjust refernce level - // using this feature - CV_CAP_PROP_GAMMA =22, - CV_CAP_PROP_TEMPERATURE =23, - CV_CAP_PROP_TRIGGER =24, - CV_CAP_PROP_TRIGGER_DELAY =25, - CV_CAP_PROP_WHITE_BALANCE_V =26, - CV_CAP_PROP_ZOOM =27, - CV_CAP_PROP_FOCUS =28, - CV_CAP_PROP_GUID =29, - CV_CAP_PROP_ISO_SPEED =30, - CV_CAP_PROP_MAX_DC1394 =31, - CV_CAP_PROP_BACKLIGHT =32, - CV_CAP_PROP_PAN =33, - CV_CAP_PROP_TILT =34, - CV_CAP_PROP_ROLL =35, - CV_CAP_PROP_IRIS =36, - CV_CAP_PROP_SETTINGS =37, - CV_CAP_PROP_BUFFERSIZE =38, - - CV_CAP_PROP_AUTOGRAB =1024, // property for highgui class CvCapture_Android only - CV_CAP_PROP_SUPPORTED_PREVIEW_SIZES_STRING=1025, // readonly, tricky property, returns cpnst char* indeed - CV_CAP_PROP_PREVIEW_FORMAT=1026, // readonly, tricky property, returns cpnst char* indeed - - // OpenNI map generators - CV_CAP_OPENNI_DEPTH_GENERATOR = 1 << 31, - CV_CAP_OPENNI_IMAGE_GENERATOR = 1 << 30, - CV_CAP_OPENNI_GENERATORS_MASK = CV_CAP_OPENNI_DEPTH_GENERATOR + CV_CAP_OPENNI_IMAGE_GENERATOR, - - // Properties of cameras available through OpenNI interfaces - CV_CAP_PROP_OPENNI_OUTPUT_MODE = 100, - CV_CAP_PROP_OPENNI_FRAME_MAX_DEPTH = 101, // in mm - CV_CAP_PROP_OPENNI_BASELINE = 102, // in mm - CV_CAP_PROP_OPENNI_FOCAL_LENGTH = 103, // in pixels - CV_CAP_PROP_OPENNI_REGISTRATION = 104, // flag - CV_CAP_PROP_OPENNI_REGISTRATION_ON = CV_CAP_PROP_OPENNI_REGISTRATION, // flag that synchronizes the remapping depth map to image map - // by changing depth generator's view point (if the flag is "on") or - // sets this view point to its normal one (if the flag is "off"). - CV_CAP_PROP_OPENNI_APPROX_FRAME_SYNC = 105, - CV_CAP_PROP_OPENNI_MAX_BUFFER_SIZE = 106, - CV_CAP_PROP_OPENNI_CIRCLE_BUFFER = 107, - CV_CAP_PROP_OPENNI_MAX_TIME_DURATION = 108, - - CV_CAP_PROP_OPENNI_GENERATOR_PRESENT = 109, - - CV_CAP_OPENNI_IMAGE_GENERATOR_PRESENT = CV_CAP_OPENNI_IMAGE_GENERATOR + CV_CAP_PROP_OPENNI_GENERATOR_PRESENT, - CV_CAP_OPENNI_IMAGE_GENERATOR_OUTPUT_MODE = CV_CAP_OPENNI_IMAGE_GENERATOR + CV_CAP_PROP_OPENNI_OUTPUT_MODE, - CV_CAP_OPENNI_DEPTH_GENERATOR_BASELINE = CV_CAP_OPENNI_DEPTH_GENERATOR + CV_CAP_PROP_OPENNI_BASELINE, - CV_CAP_OPENNI_DEPTH_GENERATOR_FOCAL_LENGTH = CV_CAP_OPENNI_DEPTH_GENERATOR + CV_CAP_PROP_OPENNI_FOCAL_LENGTH, - CV_CAP_OPENNI_DEPTH_GENERATOR_REGISTRATION = CV_CAP_OPENNI_DEPTH_GENERATOR + CV_CAP_PROP_OPENNI_REGISTRATION, - CV_CAP_OPENNI_DEPTH_GENERATOR_REGISTRATION_ON = CV_CAP_OPENNI_DEPTH_GENERATOR_REGISTRATION, - - // Properties of cameras available through GStreamer interface - CV_CAP_GSTREAMER_QUEUE_LENGTH = 200, // default is 1 - - // PVAPI - CV_CAP_PROP_PVAPI_MULTICASTIP = 300, // ip for anable multicast master mode. 0 for disable multicast - CV_CAP_PROP_PVAPI_FRAMESTARTTRIGGERMODE = 301, // FrameStartTriggerMode: Determines how a frame is initiated - CV_CAP_PROP_PVAPI_DECIMATIONHORIZONTAL = 302, // Horizontal sub-sampling of the image - CV_CAP_PROP_PVAPI_DECIMATIONVERTICAL = 303, // Vertical sub-sampling of the image - CV_CAP_PROP_PVAPI_BINNINGX = 304, // Horizontal binning factor - CV_CAP_PROP_PVAPI_BINNINGY = 305, // Vertical binning factor - CV_CAP_PROP_PVAPI_PIXELFORMAT = 306, // Pixel format - - // Properties of cameras available through XIMEA SDK interface - CV_CAP_PROP_XI_DOWNSAMPLING = 400, // Change image resolution by binning or skipping. - CV_CAP_PROP_XI_DATA_FORMAT = 401, // Output data format. - CV_CAP_PROP_XI_OFFSET_X = 402, // Horizontal offset from the origin to the area of interest (in pixels). - CV_CAP_PROP_XI_OFFSET_Y = 403, // Vertical offset from the origin to the area of interest (in pixels). - CV_CAP_PROP_XI_TRG_SOURCE = 404, // Defines source of trigger. - CV_CAP_PROP_XI_TRG_SOFTWARE = 405, // Generates an internal trigger. PRM_TRG_SOURCE must be set to TRG_SOFTWARE. - CV_CAP_PROP_XI_GPI_SELECTOR = 406, // Selects general purpose input - CV_CAP_PROP_XI_GPI_MODE = 407, // Set general purpose input mode - CV_CAP_PROP_XI_GPI_LEVEL = 408, // Get general purpose level - CV_CAP_PROP_XI_GPO_SELECTOR = 409, // Selects general purpose output - CV_CAP_PROP_XI_GPO_MODE = 410, // Set general purpose output mode - CV_CAP_PROP_XI_LED_SELECTOR = 411, // Selects camera signalling LED - CV_CAP_PROP_XI_LED_MODE = 412, // Define camera signalling LED functionality - CV_CAP_PROP_XI_MANUAL_WB = 413, // Calculates White Balance(must be called during acquisition) - CV_CAP_PROP_XI_AUTO_WB = 414, // Automatic white balance - CV_CAP_PROP_XI_AEAG = 415, // Automatic exposure/gain - CV_CAP_PROP_XI_EXP_PRIORITY = 416, // Exposure priority (0.5 - exposure 50%, gain 50%). - CV_CAP_PROP_XI_AE_MAX_LIMIT = 417, // Maximum limit of exposure in AEAG procedure - CV_CAP_PROP_XI_AG_MAX_LIMIT = 418, // Maximum limit of gain in AEAG procedure - CV_CAP_PROP_XI_AEAG_LEVEL = 419, // Average intensity of output signal AEAG should achieve(in %) - CV_CAP_PROP_XI_TIMEOUT = 420, // Image capture timeout in milliseconds - - // Properties for Android cameras - CV_CAP_PROP_ANDROID_FLASH_MODE = 8001, - CV_CAP_PROP_ANDROID_FOCUS_MODE = 8002, - CV_CAP_PROP_ANDROID_WHITE_BALANCE = 8003, - CV_CAP_PROP_ANDROID_ANTIBANDING = 8004, - CV_CAP_PROP_ANDROID_FOCAL_LENGTH = 8005, - CV_CAP_PROP_ANDROID_FOCUS_DISTANCE_NEAR = 8006, - CV_CAP_PROP_ANDROID_FOCUS_DISTANCE_OPTIMAL = 8007, - CV_CAP_PROP_ANDROID_FOCUS_DISTANCE_FAR = 8008, - CV_CAP_PROP_ANDROID_EXPOSE_LOCK = 8009, - CV_CAP_PROP_ANDROID_WHITEBALANCE_LOCK = 8010, - - // Properties of cameras available through AVFOUNDATION interface - CV_CAP_PROP_IOS_DEVICE_FOCUS = 9001, - CV_CAP_PROP_IOS_DEVICE_EXPOSURE = 9002, - CV_CAP_PROP_IOS_DEVICE_FLASH = 9003, - CV_CAP_PROP_IOS_DEVICE_WHITEBALANCE = 9004, - CV_CAP_PROP_IOS_DEVICE_TORCH = 9005, - - // Properties of cameras available through Smartek Giganetix Ethernet Vision interface - /* --- Vladimir Litvinenko (litvinenko.vladimir@gmail.com) --- */ - CV_CAP_PROP_GIGA_FRAME_OFFSET_X = 10001, - CV_CAP_PROP_GIGA_FRAME_OFFSET_Y = 10002, - CV_CAP_PROP_GIGA_FRAME_WIDTH_MAX = 10003, - CV_CAP_PROP_GIGA_FRAME_HEIGH_MAX = 10004, - CV_CAP_PROP_GIGA_FRAME_SENS_WIDTH = 10005, - CV_CAP_PROP_GIGA_FRAME_SENS_HEIGH = 10006, - - CV_CAP_PROP_INTELPERC_PROFILE_COUNT = 11001, - CV_CAP_PROP_INTELPERC_PROFILE_IDX = 11002, - CV_CAP_PROP_INTELPERC_DEPTH_LOW_CONFIDENCE_VALUE = 11003, - CV_CAP_PROP_INTELPERC_DEPTH_SATURATION_VALUE = 11004, - CV_CAP_PROP_INTELPERC_DEPTH_CONFIDENCE_THRESHOLD = 11005, - CV_CAP_PROP_INTELPERC_DEPTH_FOCAL_LENGTH_HORZ = 11006, - CV_CAP_PROP_INTELPERC_DEPTH_FOCAL_LENGTH_VERT = 11007, - - // Intel PerC streams - CV_CAP_INTELPERC_DEPTH_GENERATOR = 1 << 29, - CV_CAP_INTELPERC_IMAGE_GENERATOR = 1 << 28, - CV_CAP_INTELPERC_GENERATORS_MASK = CV_CAP_INTELPERC_DEPTH_GENERATOR + CV_CAP_INTELPERC_IMAGE_GENERATOR -}; - -enum -{ - // Data given from depth generator. - CV_CAP_OPENNI_DEPTH_MAP = 0, // Depth values in mm (CV_16UC1) - CV_CAP_OPENNI_POINT_CLOUD_MAP = 1, // XYZ in meters (CV_32FC3) - CV_CAP_OPENNI_DISPARITY_MAP = 2, // Disparity in pixels (CV_8UC1) - CV_CAP_OPENNI_DISPARITY_MAP_32F = 3, // Disparity in pixels (CV_32FC1) - CV_CAP_OPENNI_VALID_DEPTH_MASK = 4, // CV_8UC1 - - // Data given from RGB image generator. - CV_CAP_OPENNI_BGR_IMAGE = 5, - CV_CAP_OPENNI_GRAY_IMAGE = 6 -}; - -// Supported output modes of OpenNI image generator -enum -{ - CV_CAP_OPENNI_VGA_30HZ = 0, - CV_CAP_OPENNI_SXGA_15HZ = 1, - CV_CAP_OPENNI_SXGA_30HZ = 2, - CV_CAP_OPENNI_QVGA_30HZ = 3, - CV_CAP_OPENNI_QVGA_60HZ = 4 -}; - -//supported by Android camera output formats -enum -{ - CV_CAP_ANDROID_COLOR_FRAME_BGR = 0, //BGR - CV_CAP_ANDROID_COLOR_FRAME = CV_CAP_ANDROID_COLOR_FRAME_BGR, - CV_CAP_ANDROID_GREY_FRAME = 1, //Y - CV_CAP_ANDROID_COLOR_FRAME_RGB = 2, - CV_CAP_ANDROID_COLOR_FRAME_BGRA = 3, - CV_CAP_ANDROID_COLOR_FRAME_RGBA = 4 -}; - -// supported Android camera flash modes -enum -{ - CV_CAP_ANDROID_FLASH_MODE_AUTO = 0, - CV_CAP_ANDROID_FLASH_MODE_OFF, - CV_CAP_ANDROID_FLASH_MODE_ON, - CV_CAP_ANDROID_FLASH_MODE_RED_EYE, - CV_CAP_ANDROID_FLASH_MODE_TORCH -}; - -// supported Android camera focus modes -enum -{ - CV_CAP_ANDROID_FOCUS_MODE_AUTO = 0, - CV_CAP_ANDROID_FOCUS_MODE_CONTINUOUS_PICTURE, - CV_CAP_ANDROID_FOCUS_MODE_CONTINUOUS_VIDEO, - CV_CAP_ANDROID_FOCUS_MODE_EDOF, - CV_CAP_ANDROID_FOCUS_MODE_FIXED, - CV_CAP_ANDROID_FOCUS_MODE_INFINITY, - CV_CAP_ANDROID_FOCUS_MODE_MACRO -}; - -// supported Android camera white balance modes -enum -{ - CV_CAP_ANDROID_WHITE_BALANCE_AUTO = 0, - CV_CAP_ANDROID_WHITE_BALANCE_CLOUDY_DAYLIGHT, - CV_CAP_ANDROID_WHITE_BALANCE_DAYLIGHT, - CV_CAP_ANDROID_WHITE_BALANCE_FLUORESCENT, - CV_CAP_ANDROID_WHITE_BALANCE_INCANDESCENT, - CV_CAP_ANDROID_WHITE_BALANCE_SHADE, - CV_CAP_ANDROID_WHITE_BALANCE_TWILIGHT, - CV_CAP_ANDROID_WHITE_BALANCE_WARM_FLUORESCENT -}; - -// supported Android camera antibanding modes -enum -{ - CV_CAP_ANDROID_ANTIBANDING_50HZ = 0, - CV_CAP_ANDROID_ANTIBANDING_60HZ, - CV_CAP_ANDROID_ANTIBANDING_AUTO, - CV_CAP_ANDROID_ANTIBANDING_OFF -}; - -enum -{ - CV_CAP_INTELPERC_DEPTH_MAP = 0, // Each pixel is a 16-bit integer. The value indicates the distance from an object to the camera's XY plane or the Cartesian depth. - CV_CAP_INTELPERC_UVDEPTH_MAP = 1, // Each pixel contains two 32-bit floating point values in the range of 0-1, representing the mapping of depth coordinates to the color coordinates. - CV_CAP_INTELPERC_IR_MAP = 2, // Each pixel is a 16-bit integer. The value indicates the intensity of the reflected laser beam. - CV_CAP_INTELPERC_IMAGE = 3 -}; - -/* retrieve or set capture properties */ -CVAPI(double) cvGetCaptureProperty( CvCapture* capture, int property_id ); -CVAPI(int) cvSetCaptureProperty( CvCapture* capture, int property_id, double value ); - -// Return the type of the capturer (eg, CV_CAP_V4W, CV_CAP_UNICAP), which is unknown if created with CV_CAP_ANY -CVAPI(int) cvGetCaptureDomain( CvCapture* capture); - -/* "black box" video file writer structure */ -typedef struct CvVideoWriter CvVideoWriter; - -#define CV_FOURCC_MACRO(c1, c2, c3, c4) (((c1) & 255) + (((c2) & 255) << 8) + (((c3) & 255) << 16) + (((c4) & 255) << 24)) - -CV_INLINE int CV_FOURCC(char c1, char c2, char c3, char c4) -{ - return CV_FOURCC_MACRO(c1, c2, c3, c4); -} - -#define CV_FOURCC_PROMPT -1 /* Open Codec Selection Dialog (Windows only) */ -#define CV_FOURCC_DEFAULT CV_FOURCC('I', 'Y', 'U', 'V') /* Use default codec for specified filename (Linux only) */ - -/* initialize video file writer */ -CVAPI(CvVideoWriter*) cvCreateVideoWriter( const char* filename, int fourcc, - double fps, CvSize frame_size, - int is_color CV_DEFAULT(1)); - -//CVAPI(CvVideoWriter*) cvCreateImageSequenceWriter( const char* filename, -// int is_color CV_DEFAULT(1)); - -/* write frame to video file */ -CVAPI(int) cvWriteFrame( CvVideoWriter* writer, const IplImage* image ); - -/* close video file writer */ -CVAPI(void) cvReleaseVideoWriter( CvVideoWriter** writer ); - -/****************************************************************************************\ -* Obsolete functions/synonyms * -\****************************************************************************************/ - -#define cvCaptureFromFile cvCreateFileCapture -#define cvCaptureFromCAM cvCreateCameraCapture -#define cvCaptureFromAVI cvCaptureFromFile -#define cvCreateAVIWriter cvCreateVideoWriter -#define cvWriteToAVI cvWriteFrame -#define cvAddSearchPath(path) -#define cvvInitSystem cvInitSystem -#define cvvNamedWindow cvNamedWindow -#define cvvShowImage cvShowImage -#define cvvResizeWindow cvResizeWindow -#define cvvDestroyWindow cvDestroyWindow -#define cvvCreateTrackbar cvCreateTrackbar -#define cvvLoadImage(name) cvLoadImage((name),1) -#define cvvSaveImage cvSaveImage -#define cvvAddSearchPath cvAddSearchPath -#define cvvWaitKey(name) cvWaitKey(0) -#define cvvWaitKeyEx(name,delay) cvWaitKey(delay) -#define cvvConvertImage cvConvertImage -#define HG_AUTOSIZE CV_WINDOW_AUTOSIZE -#define set_preprocess_func cvSetPreprocessFuncWin32 -#define set_postprocess_func cvSetPostprocessFuncWin32 - -#if defined WIN32 || defined _WIN32 - -CVAPI(void) cvSetPreprocessFuncWin32_(const void* callback); -CVAPI(void) cvSetPostprocessFuncWin32_(const void* callback); -#define cvSetPreprocessFuncWin32(callback) cvSetPreprocessFuncWin32_((const void*)(callback)) -#define cvSetPostprocessFuncWin32(callback) cvSetPostprocessFuncWin32_((const void*)(callback)) - -#endif - -#ifdef __cplusplus -} -#endif - -#endif diff --git a/phonelibs/opencv/include/opencv2/highgui/ios.h b/phonelibs/opencv/include/opencv2/highgui/ios.h deleted file mode 100644 index a7f0395d71..0000000000 --- a/phonelibs/opencv/include/opencv2/highgui/ios.h +++ /dev/null @@ -1,49 +0,0 @@ - -/*M/////////////////////////////////////////////////////////////////////////////////////// -// -// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING. -// -// By downloading, copying, installing or using the software you agree to this license. -// If you do not agree to this license, do not download, install, -// copy or use the software. -// -// -// License Agreement -// For Open Source Computer Vision Library -// -// Copyright (C) 2000-2008, Intel Corporation, all rights reserved. -// Copyright (C) 2009, Willow Garage Inc., all rights reserved. -// Third party copyrights are property of their respective owners. -// -// Redistribution and use in source and binary forms, with or without modification, -// are permitted provided that the following conditions are met: -// -// * Redistribution's of source code must retain the above copyright notice, -// this list of conditions and the following disclaimer. -// -// * Redistribution's in binary form must reproduce the above copyright notice, -// this list of conditions and the following disclaimer in the documentation -// and/or other materials provided with the distribution. -// -// * The name of the copyright holders may not be used to endorse or promote products -// derived from this software without specific prior written permission. -// -// This software is provided by the copyright holders and contributors "as is" and -// any express or implied warranties, including, but not limited to, the implied -// warranties of merchantability and fitness for a particular purpose are disclaimed. -// In no event shall the Intel Corporation or contributors be liable for any direct, -// indirect, incidental, special, exemplary, or consequential damages -// (including, but not limited to, procurement of substitute goods or services; -// loss of use, data, or profits; or business interruption) however caused -// and on any theory of liability, whether in contract, strict liability, -// or tort (including negligence or otherwise) arising in any way out of -// the use of this software, even if advised of the possibility of such damage. -// -//M*/ - -#include "opencv2/core/core.hpp" -#import "opencv2/highgui/cap_ios.h" - -UIImage* MatToUIImage(const cv::Mat& image); -void UIImageToMat(const UIImage* image, - cv::Mat& m, bool alphaExist = false); diff --git a/phonelibs/opencv/include/opencv2/imgproc/imgproc.hpp b/phonelibs/opencv/include/opencv2/imgproc/imgproc.hpp deleted file mode 100644 index aa6a5f6ca3..0000000000 --- a/phonelibs/opencv/include/opencv2/imgproc/imgproc.hpp +++ /dev/null @@ -1,1299 +0,0 @@ -/*M/////////////////////////////////////////////////////////////////////////////////////// -// -// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING. -// -// By downloading, copying, installing or using the software you agree to this license. -// If you do not agree to this license, do not download, install, -// copy or use the software. -// -// -// License Agreement -// For Open Source Computer Vision Library -// -// Copyright (C) 2000-2008, Intel Corporation, all rights reserved. -// Copyright (C) 2009, Willow Garage Inc., all rights reserved. -// Third party copyrights are property of their respective owners. -// -// Redistribution and use in source and binary forms, with or without modification, -// are permitted provided that the following conditions are met: -// -// * Redistribution's of source code must retain the above copyright notice, -// this list of conditions and the following disclaimer. -// -// * Redistribution's in binary form must reproduce the above copyright notice, -// this list of conditions and the following disclaimer in the documentation -// and/or other materials provided with the distribution. -// -// * The name of the copyright holders may not be used to endorse or promote products -// derived from this software without specific prior written permission. -// -// This software is provided by the copyright holders and contributors "as is" and -// any express or implied warranties, including, but not limited to, the implied -// warranties of merchantability and fitness for a particular purpose are disclaimed. -// In no event shall the Intel Corporation or contributors be liable for any direct, -// indirect, incidental, special, exemplary, or consequential damages -// (including, but not limited to, procurement of substitute goods or services; -// loss of use, data, or profits; or business interruption) however caused -// and on any theory of liability, whether in contract, strict liability, -// or tort (including negligence or otherwise) arising in any way out of -// the use of this software, even if advised of the possibility of such damage. -// -//M*/ - -#ifndef __OPENCV_IMGPROC_HPP__ -#define __OPENCV_IMGPROC_HPP__ - -#include "opencv2/core/core.hpp" -#include "opencv2/imgproc/types_c.h" - -#ifdef __cplusplus - -/*! \namespace cv - Namespace where all the C++ OpenCV functionality resides - */ -namespace cv -{ - -//! various border interpolation methods -enum { BORDER_REPLICATE=IPL_BORDER_REPLICATE, BORDER_CONSTANT=IPL_BORDER_CONSTANT, - BORDER_REFLECT=IPL_BORDER_REFLECT, BORDER_WRAP=IPL_BORDER_WRAP, - BORDER_REFLECT_101=IPL_BORDER_REFLECT_101, BORDER_REFLECT101=BORDER_REFLECT_101, - BORDER_TRANSPARENT=IPL_BORDER_TRANSPARENT, - BORDER_DEFAULT=BORDER_REFLECT_101, BORDER_ISOLATED=16 }; - -//! 1D interpolation function: returns coordinate of the "donor" pixel for the specified location p. -CV_EXPORTS_W int borderInterpolate( int p, int len, int borderType ); - -/*! - The Base Class for 1D or Row-wise Filters - - This is the base class for linear or non-linear filters that process 1D data. - In particular, such filters are used for the "horizontal" filtering parts in separable filters. - - Several functions in OpenCV return Ptr for the specific types of filters, - and those pointers can be used directly or within cv::FilterEngine. -*/ -class CV_EXPORTS BaseRowFilter -{ -public: - //! the default constructor - BaseRowFilter(); - //! the destructor - virtual ~BaseRowFilter(); - //! the filtering operator. Must be overridden in the derived classes. The horizontal border interpolation is done outside of the class. - virtual void operator()(const uchar* src, uchar* dst, - int width, int cn) = 0; - int ksize, anchor; -}; - - -/*! - The Base Class for Column-wise Filters - - This is the base class for linear or non-linear filters that process columns of 2D arrays. - Such filters are used for the "vertical" filtering parts in separable filters. - - Several functions in OpenCV return Ptr for the specific types of filters, - and those pointers can be used directly or within cv::FilterEngine. - - Unlike cv::BaseRowFilter, cv::BaseColumnFilter may have some context information, - i.e. box filter keeps the sliding sum of elements. To reset the state BaseColumnFilter::reset() - must be called (e.g. the method is called by cv::FilterEngine) - */ -class CV_EXPORTS BaseColumnFilter -{ -public: - //! the default constructor - BaseColumnFilter(); - //! the destructor - virtual ~BaseColumnFilter(); - //! the filtering operator. Must be overridden in the derived classes. The vertical border interpolation is done outside of the class. - virtual void operator()(const uchar** src, uchar* dst, int dststep, - int dstcount, int width) = 0; - //! resets the internal buffers, if any - virtual void reset(); - int ksize, anchor; -}; - -/*! - The Base Class for Non-Separable 2D Filters. - - This is the base class for linear or non-linear 2D filters. - - Several functions in OpenCV return Ptr for the specific types of filters, - and those pointers can be used directly or within cv::FilterEngine. - - Similar to cv::BaseColumnFilter, the class may have some context information, - that should be reset using BaseFilter::reset() method before processing the new array. -*/ -class CV_EXPORTS BaseFilter -{ -public: - //! the default constructor - BaseFilter(); - //! the destructor - virtual ~BaseFilter(); - //! the filtering operator. The horizontal and the vertical border interpolation is done outside of the class. - virtual void operator()(const uchar** src, uchar* dst, int dststep, - int dstcount, int width, int cn) = 0; - //! resets the internal buffers, if any - virtual void reset(); - Size ksize; - Point anchor; -}; - -/*! - The Main Class for Image Filtering. - - The class can be used to apply an arbitrary filtering operation to an image. - It contains all the necessary intermediate buffers, it computes extrapolated values - of the "virtual" pixels outside of the image etc. - Pointers to the initialized cv::FilterEngine instances - are returned by various OpenCV functions, such as cv::createSeparableLinearFilter(), - cv::createLinearFilter(), cv::createGaussianFilter(), cv::createDerivFilter(), - cv::createBoxFilter() and cv::createMorphologyFilter(). - - Using the class you can process large images by parts and build complex pipelines - that include filtering as some of the stages. If all you need is to apply some pre-defined - filtering operation, you may use cv::filter2D(), cv::erode(), cv::dilate() etc. - functions that create FilterEngine internally. - - Here is the example on how to use the class to implement Laplacian operator, which is the sum of - second-order derivatives. More complex variant for different types is implemented in cv::Laplacian(). - - \code - void laplace_f(const Mat& src, Mat& dst) - { - CV_Assert( src.type() == CV_32F ); - // make sure the destination array has the proper size and type - dst.create(src.size(), src.type()); - - // get the derivative and smooth kernels for d2I/dx2. - // for d2I/dy2 we could use the same kernels, just swapped - Mat kd, ks; - getSobelKernels( kd, ks, 2, 0, ksize, false, ktype ); - - // let's process 10 source rows at once - int DELTA = std::min(10, src.rows); - Ptr Fxx = createSeparableLinearFilter(src.type(), - dst.type(), kd, ks, Point(-1,-1), 0, borderType, borderType, Scalar() ); - Ptr Fyy = createSeparableLinearFilter(src.type(), - dst.type(), ks, kd, Point(-1,-1), 0, borderType, borderType, Scalar() ); - - int y = Fxx->start(src), dsty = 0, dy = 0; - Fyy->start(src); - const uchar* sptr = src.data + y*src.step; - - // allocate the buffers for the spatial image derivatives; - // the buffers need to have more than DELTA rows, because at the - // last iteration the output may take max(kd.rows-1,ks.rows-1) - // rows more than the input. - Mat Ixx( DELTA + kd.rows - 1, src.cols, dst.type() ); - Mat Iyy( DELTA + kd.rows - 1, src.cols, dst.type() ); - - // inside the loop we always pass DELTA rows to the filter - // (note that the "proceed" method takes care of possibe overflow, since - // it was given the actual image height in the "start" method) - // on output we can get: - // * < DELTA rows (the initial buffer accumulation stage) - // * = DELTA rows (settled state in the middle) - // * > DELTA rows (then the input image is over, but we generate - // "virtual" rows using the border mode and filter them) - // this variable number of output rows is dy. - // dsty is the current output row. - // sptr is the pointer to the first input row in the portion to process - for( ; dsty < dst.rows; sptr += DELTA*src.step, dsty += dy ) - { - Fxx->proceed( sptr, (int)src.step, DELTA, Ixx.data, (int)Ixx.step ); - dy = Fyy->proceed( sptr, (int)src.step, DELTA, d2y.data, (int)Iyy.step ); - if( dy > 0 ) - { - Mat dstripe = dst.rowRange(dsty, dsty + dy); - add(Ixx.rowRange(0, dy), Iyy.rowRange(0, dy), dstripe); - } - } - } - \endcode -*/ -class CV_EXPORTS FilterEngine -{ -public: - //! the default constructor - FilterEngine(); - //! the full constructor. Either _filter2D or both _rowFilter and _columnFilter must be non-empty. - FilterEngine(const Ptr& _filter2D, - const Ptr& _rowFilter, - const Ptr& _columnFilter, - int srcType, int dstType, int bufType, - int _rowBorderType=BORDER_REPLICATE, - int _columnBorderType=-1, - const Scalar& _borderValue=Scalar()); - //! the destructor - virtual ~FilterEngine(); - //! reinitializes the engine. The previously assigned filters are released. - void init(const Ptr& _filter2D, - const Ptr& _rowFilter, - const Ptr& _columnFilter, - int srcType, int dstType, int bufType, - int _rowBorderType=BORDER_REPLICATE, int _columnBorderType=-1, - const Scalar& _borderValue=Scalar()); - //! starts filtering of the specified ROI of an image of size wholeSize. - virtual int start(Size wholeSize, Rect roi, int maxBufRows=-1); - //! starts filtering of the specified ROI of the specified image. - virtual int start(const Mat& src, const Rect& srcRoi=Rect(0,0,-1,-1), - bool isolated=false, int maxBufRows=-1); - //! processes the next srcCount rows of the image. - virtual int proceed(const uchar* src, int srcStep, int srcCount, - uchar* dst, int dstStep); - //! applies filter to the specified ROI of the image. if srcRoi=(0,0,-1,-1), the whole image is filtered. - virtual void apply( const Mat& src, Mat& dst, - const Rect& srcRoi=Rect(0,0,-1,-1), - Point dstOfs=Point(0,0), - bool isolated=false); - //! returns true if the filter is separable - bool isSeparable() const { return (const BaseFilter*)filter2D == 0; } - //! returns the number - int remainingInputRows() const; - int remainingOutputRows() const; - - int srcType, dstType, bufType; - Size ksize; - Point anchor; - int maxWidth; - Size wholeSize; - Rect roi; - int dx1, dx2; - int rowBorderType, columnBorderType; - vector borderTab; - int borderElemSize; - vector ringBuf; - vector srcRow; - vector constBorderValue; - vector constBorderRow; - int bufStep, startY, startY0, endY, rowCount, dstY; - vector rows; - - Ptr filter2D; - Ptr rowFilter; - Ptr columnFilter; -}; - -//! type of the kernel -enum { KERNEL_GENERAL=0, KERNEL_SYMMETRICAL=1, KERNEL_ASYMMETRICAL=2, - KERNEL_SMOOTH=4, KERNEL_INTEGER=8 }; - -//! returns type (one of KERNEL_*) of 1D or 2D kernel specified by its coefficients. -CV_EXPORTS int getKernelType(InputArray kernel, Point anchor); - -//! returns the primitive row filter with the specified kernel -CV_EXPORTS Ptr getLinearRowFilter(int srcType, int bufType, - InputArray kernel, int anchor, - int symmetryType); - -//! returns the primitive column filter with the specified kernel -CV_EXPORTS Ptr getLinearColumnFilter(int bufType, int dstType, - InputArray kernel, int anchor, - int symmetryType, double delta=0, - int bits=0); - -//! returns 2D filter with the specified kernel -CV_EXPORTS Ptr getLinearFilter(int srcType, int dstType, - InputArray kernel, - Point anchor=Point(-1,-1), - double delta=0, int bits=0); - -//! returns the separable linear filter engine -CV_EXPORTS Ptr createSeparableLinearFilter(int srcType, int dstType, - InputArray rowKernel, InputArray columnKernel, - Point anchor=Point(-1,-1), double delta=0, - int rowBorderType=BORDER_DEFAULT, - int columnBorderType=-1, - const Scalar& borderValue=Scalar()); - -//! returns the non-separable linear filter engine -CV_EXPORTS Ptr createLinearFilter(int srcType, int dstType, - InputArray kernel, Point _anchor=Point(-1,-1), - double delta=0, int rowBorderType=BORDER_DEFAULT, - int columnBorderType=-1, const Scalar& borderValue=Scalar()); - -//! returns the Gaussian kernel with the specified parameters -CV_EXPORTS_W Mat getGaussianKernel( int ksize, double sigma, int ktype=CV_64F ); - -//! returns the Gaussian filter engine -CV_EXPORTS Ptr createGaussianFilter( int type, Size ksize, - double sigma1, double sigma2=0, - int borderType=BORDER_DEFAULT); -//! initializes kernels of the generalized Sobel operator -CV_EXPORTS_W void getDerivKernels( OutputArray kx, OutputArray ky, - int dx, int dy, int ksize, - bool normalize=false, int ktype=CV_32F ); -//! returns filter engine for the generalized Sobel operator -CV_EXPORTS Ptr createDerivFilter( int srcType, int dstType, - int dx, int dy, int ksize, - int borderType=BORDER_DEFAULT ); -//! returns horizontal 1D box filter -CV_EXPORTS Ptr getRowSumFilter(int srcType, int sumType, - int ksize, int anchor=-1); -//! returns vertical 1D box filter -CV_EXPORTS Ptr getColumnSumFilter( int sumType, int dstType, - int ksize, int anchor=-1, - double scale=1); -//! returns box filter engine -CV_EXPORTS Ptr createBoxFilter( int srcType, int dstType, Size ksize, - Point anchor=Point(-1,-1), - bool normalize=true, - int borderType=BORDER_DEFAULT); - -//! returns the Gabor kernel with the specified parameters -CV_EXPORTS_W Mat getGaborKernel( Size ksize, double sigma, double theta, double lambd, - double gamma, double psi=CV_PI*0.5, int ktype=CV_64F ); - -//! type of morphological operation -enum { MORPH_ERODE=CV_MOP_ERODE, MORPH_DILATE=CV_MOP_DILATE, - MORPH_OPEN=CV_MOP_OPEN, MORPH_CLOSE=CV_MOP_CLOSE, - MORPH_GRADIENT=CV_MOP_GRADIENT, MORPH_TOPHAT=CV_MOP_TOPHAT, - MORPH_BLACKHAT=CV_MOP_BLACKHAT, MORPH_HITMISS }; - -//! returns horizontal 1D morphological filter -CV_EXPORTS Ptr getMorphologyRowFilter(int op, int type, int ksize, int anchor=-1); -//! returns vertical 1D morphological filter -CV_EXPORTS Ptr getMorphologyColumnFilter(int op, int type, int ksize, int anchor=-1); -//! returns 2D morphological filter -CV_EXPORTS Ptr getMorphologyFilter(int op, int type, InputArray kernel, - Point anchor=Point(-1,-1)); - -//! returns "magic" border value for erosion and dilation. It is automatically transformed to Scalar::all(-DBL_MAX) for dilation. -static inline Scalar morphologyDefaultBorderValue() { return Scalar::all(DBL_MAX); } - -//! returns morphological filter engine. Only MORPH_ERODE and MORPH_DILATE are supported. -CV_EXPORTS Ptr createMorphologyFilter(int op, int type, InputArray kernel, - Point anchor=Point(-1,-1), int rowBorderType=BORDER_CONSTANT, - int columnBorderType=-1, - const Scalar& borderValue=morphologyDefaultBorderValue()); - -//! shape of the structuring element -enum { MORPH_RECT=0, MORPH_CROSS=1, MORPH_ELLIPSE=2 }; -//! returns structuring element of the specified shape and size -CV_EXPORTS_W Mat getStructuringElement(int shape, Size ksize, Point anchor=Point(-1,-1)); - -template<> CV_EXPORTS void Ptr::delete_obj(); - -//! copies 2D array to a larger destination array with extrapolation of the outer part of src using the specified border mode -CV_EXPORTS_W void copyMakeBorder( InputArray src, OutputArray dst, - int top, int bottom, int left, int right, - int borderType, const Scalar& value=Scalar() ); - -//! smooths the image using median filter. -CV_EXPORTS_W void medianBlur( InputArray src, OutputArray dst, int ksize ); -//! smooths the image using Gaussian filter. -CV_EXPORTS_W void GaussianBlur( InputArray src, - OutputArray dst, Size ksize, - double sigmaX, double sigmaY=0, - int borderType=BORDER_DEFAULT ); -//! smooths the image using bilateral filter -CV_EXPORTS_W void bilateralFilter( InputArray src, OutputArray dst, int d, - double sigmaColor, double sigmaSpace, - int borderType=BORDER_DEFAULT ); -//! smooths the image using adaptive bilateral filter -CV_EXPORTS_W void adaptiveBilateralFilter( InputArray src, OutputArray dst, Size ksize, - double sigmaSpace, double maxSigmaColor = 20.0, Point anchor=Point(-1, -1), - int borderType=BORDER_DEFAULT ); -//! smooths the image using the box filter. Each pixel is processed in O(1) time -CV_EXPORTS_W void boxFilter( InputArray src, OutputArray dst, int ddepth, - Size ksize, Point anchor=Point(-1,-1), - bool normalize=true, - int borderType=BORDER_DEFAULT ); -//! a synonym for normalized box filter -CV_EXPORTS_W void blur( InputArray src, OutputArray dst, - Size ksize, Point anchor=Point(-1,-1), - int borderType=BORDER_DEFAULT ); - -//! applies non-separable 2D linear filter to the image -CV_EXPORTS_W void filter2D( InputArray src, OutputArray dst, int ddepth, - InputArray kernel, Point anchor=Point(-1,-1), - double delta=0, int borderType=BORDER_DEFAULT ); - -//! applies separable 2D linear filter to the image -CV_EXPORTS_W void sepFilter2D( InputArray src, OutputArray dst, int ddepth, - InputArray kernelX, InputArray kernelY, - Point anchor=Point(-1,-1), - double delta=0, int borderType=BORDER_DEFAULT ); - -//! applies generalized Sobel operator to the image -CV_EXPORTS_W void Sobel( InputArray src, OutputArray dst, int ddepth, - int dx, int dy, int ksize=3, - double scale=1, double delta=0, - int borderType=BORDER_DEFAULT ); - -//! applies the vertical or horizontal Scharr operator to the image -CV_EXPORTS_W void Scharr( InputArray src, OutputArray dst, int ddepth, - int dx, int dy, double scale=1, double delta=0, - int borderType=BORDER_DEFAULT ); - -//! applies Laplacian operator to the image -CV_EXPORTS_W void Laplacian( InputArray src, OutputArray dst, int ddepth, - int ksize=1, double scale=1, double delta=0, - int borderType=BORDER_DEFAULT ); - -//! applies Canny edge detector and produces the edge map. -CV_EXPORTS_W void Canny( InputArray image, OutputArray edges, - double threshold1, double threshold2, - int apertureSize=3, bool L2gradient=false ); - -//! computes minimum eigen value of 2x2 derivative covariation matrix at each pixel - the cornerness criteria -CV_EXPORTS_W void cornerMinEigenVal( InputArray src, OutputArray dst, - int blockSize, int ksize=3, - int borderType=BORDER_DEFAULT ); - -//! computes Harris cornerness criteria at each image pixel -CV_EXPORTS_W void cornerHarris( InputArray src, OutputArray dst, int blockSize, - int ksize, double k, - int borderType=BORDER_DEFAULT ); - -// low-level function for computing eigenvalues and eigenvectors of 2x2 matrices -CV_EXPORTS void eigen2x2( const float* a, float* e, int n ); - -//! computes both eigenvalues and the eigenvectors of 2x2 derivative covariation matrix at each pixel. The output is stored as 6-channel matrix. -CV_EXPORTS_W void cornerEigenValsAndVecs( InputArray src, OutputArray dst, - int blockSize, int ksize, - int borderType=BORDER_DEFAULT ); - -//! computes another complex cornerness criteria at each pixel -CV_EXPORTS_W void preCornerDetect( InputArray src, OutputArray dst, int ksize, - int borderType=BORDER_DEFAULT ); - -//! adjusts the corner locations with sub-pixel accuracy to maximize the certain cornerness criteria -CV_EXPORTS_W void cornerSubPix( InputArray image, InputOutputArray corners, - Size winSize, Size zeroZone, - TermCriteria criteria ); - -//! finds the strong enough corners where the cornerMinEigenVal() or cornerHarris() report the local maxima -CV_EXPORTS_W void goodFeaturesToTrack( InputArray image, OutputArray corners, - int maxCorners, double qualityLevel, double minDistance, - InputArray mask=noArray(), int blockSize=3, - bool useHarrisDetector=false, double k=0.04 ); - -//! finds lines in the black-n-white image using the standard or pyramid Hough transform -CV_EXPORTS_W void HoughLines( InputArray image, OutputArray lines, - double rho, double theta, int threshold, - double srn=0, double stn=0 ); - -//! finds line segments in the black-n-white image using probabilistic Hough transform -CV_EXPORTS_W void HoughLinesP( InputArray image, OutputArray lines, - double rho, double theta, int threshold, - double minLineLength=0, double maxLineGap=0 ); - -//! finds circles in the grayscale image using 2+1 gradient Hough transform -CV_EXPORTS_W void HoughCircles( InputArray image, OutputArray circles, - int method, double dp, double minDist, - double param1=100, double param2=100, - int minRadius=0, int maxRadius=0 ); - -enum -{ - GHT_POSITION = 0, - GHT_SCALE = 1, - GHT_ROTATION = 2 -}; - -//! finds arbitrary template in the grayscale image using Generalized Hough Transform -//! Ballard, D.H. (1981). Generalizing the Hough transform to detect arbitrary shapes. Pattern Recognition 13 (2): 111-122. -//! Guil, N., González-Linares, J.M. and Zapata, E.L. (1999). Bidimensional shape detection using an invariant approach. Pattern Recognition 32 (6): 1025-1038. -class CV_EXPORTS GeneralizedHough : public Algorithm -{ -public: - static Ptr create(int method); - - virtual ~GeneralizedHough(); - - //! set template to search - void setTemplate(InputArray templ, int cannyThreshold = 100, Point templCenter = Point(-1, -1)); - void setTemplate(InputArray edges, InputArray dx, InputArray dy, Point templCenter = Point(-1, -1)); - - //! find template on image - void detect(InputArray image, OutputArray positions, OutputArray votes = cv::noArray(), int cannyThreshold = 100); - void detect(InputArray edges, InputArray dx, InputArray dy, OutputArray positions, OutputArray votes = cv::noArray()); - - void release(); - -protected: - virtual void setTemplateImpl(const Mat& edges, const Mat& dx, const Mat& dy, Point templCenter) = 0; - virtual void detectImpl(const Mat& edges, const Mat& dx, const Mat& dy, OutputArray positions, OutputArray votes) = 0; - virtual void releaseImpl() = 0; - -private: - Mat edges_, dx_, dy_; -}; - -//! erodes the image (applies the local minimum operator) -CV_EXPORTS_W void erode( InputArray src, OutputArray dst, InputArray kernel, - Point anchor=Point(-1,-1), int iterations=1, - int borderType=BORDER_CONSTANT, - const Scalar& borderValue=morphologyDefaultBorderValue() ); - -//! dilates the image (applies the local maximum operator) -CV_EXPORTS_W void dilate( InputArray src, OutputArray dst, InputArray kernel, - Point anchor=Point(-1,-1), int iterations=1, - int borderType=BORDER_CONSTANT, - const Scalar& borderValue=morphologyDefaultBorderValue() ); - -//! applies an advanced morphological operation to the image -CV_EXPORTS_W void morphologyEx( InputArray src, OutputArray dst, - int op, InputArray kernel, - Point anchor=Point(-1,-1), int iterations=1, - int borderType=BORDER_CONSTANT, - const Scalar& borderValue=morphologyDefaultBorderValue() ); - -//! interpolation algorithm -enum -{ - INTER_NEAREST=CV_INTER_NN, //!< nearest neighbor interpolation - INTER_LINEAR=CV_INTER_LINEAR, //!< bilinear interpolation - INTER_CUBIC=CV_INTER_CUBIC, //!< bicubic interpolation - INTER_AREA=CV_INTER_AREA, //!< area-based (or super) interpolation - INTER_LANCZOS4=CV_INTER_LANCZOS4, //!< Lanczos interpolation over 8x8 neighborhood - INTER_MAX=7, - WARP_INVERSE_MAP=CV_WARP_INVERSE_MAP -}; - -//! resizes the image -CV_EXPORTS_W void resize( InputArray src, OutputArray dst, - Size dsize, double fx=0, double fy=0, - int interpolation=INTER_LINEAR ); - -//! warps the image using affine transformation -CV_EXPORTS_W void warpAffine( InputArray src, OutputArray dst, - InputArray M, Size dsize, - int flags=INTER_LINEAR, - int borderMode=BORDER_CONSTANT, - const Scalar& borderValue=Scalar()); - -//! warps the image using perspective transformation -CV_EXPORTS_W void warpPerspective( InputArray src, OutputArray dst, - InputArray M, Size dsize, - int flags=INTER_LINEAR, - int borderMode=BORDER_CONSTANT, - const Scalar& borderValue=Scalar()); - -enum -{ - INTER_BITS=5, INTER_BITS2=INTER_BITS*2, - INTER_TAB_SIZE=(1< CV_EXPORTS void Ptr::delete_obj(); - -//! computes the joint dense histogram for a set of images. -CV_EXPORTS void calcHist( const Mat* images, int nimages, - const int* channels, InputArray mask, - OutputArray hist, int dims, const int* histSize, - const float** ranges, bool uniform=true, bool accumulate=false ); - -//! computes the joint sparse histogram for a set of images. -CV_EXPORTS void calcHist( const Mat* images, int nimages, - const int* channels, InputArray mask, - SparseMat& hist, int dims, - const int* histSize, const float** ranges, - bool uniform=true, bool accumulate=false ); - -CV_EXPORTS_W void calcHist( InputArrayOfArrays images, - const vector& channels, - InputArray mask, OutputArray hist, - const vector& histSize, - const vector& ranges, - bool accumulate=false ); - -//! computes back projection for the set of images -CV_EXPORTS void calcBackProject( const Mat* images, int nimages, - const int* channels, InputArray hist, - OutputArray backProject, const float** ranges, - double scale=1, bool uniform=true ); - -//! computes back projection for the set of images -CV_EXPORTS void calcBackProject( const Mat* images, int nimages, - const int* channels, const SparseMat& hist, - OutputArray backProject, const float** ranges, - double scale=1, bool uniform=true ); - -CV_EXPORTS_W void calcBackProject( InputArrayOfArrays images, const vector& channels, - InputArray hist, OutputArray dst, - const vector& ranges, - double scale ); - -/*CV_EXPORTS void calcBackProjectPatch( const Mat* images, int nimages, const int* channels, - InputArray hist, OutputArray dst, Size patchSize, - int method, double factor=1 ); - -CV_EXPORTS_W void calcBackProjectPatch( InputArrayOfArrays images, const vector& channels, - InputArray hist, OutputArray dst, Size patchSize, - int method, double factor=1 );*/ - -//! compares two histograms stored in dense arrays -CV_EXPORTS_W double compareHist( InputArray H1, InputArray H2, int method ); - -//! compares two histograms stored in sparse arrays -CV_EXPORTS double compareHist( const SparseMat& H1, const SparseMat& H2, int method ); - -//! normalizes the grayscale image brightness and contrast by normalizing its histogram -CV_EXPORTS_W void equalizeHist( InputArray src, OutputArray dst ); - -class CV_EXPORTS_W CLAHE : public Algorithm -{ -public: - CV_WRAP virtual void apply(InputArray src, OutputArray dst) = 0; - - CV_WRAP virtual void setClipLimit(double clipLimit) = 0; - CV_WRAP virtual double getClipLimit() const = 0; - - CV_WRAP virtual void setTilesGridSize(Size tileGridSize) = 0; - CV_WRAP virtual Size getTilesGridSize() const = 0; - - CV_WRAP virtual void collectGarbage() = 0; -}; -CV_EXPORTS_W Ptr createCLAHE(double clipLimit = 40.0, Size tileGridSize = Size(8, 8)); - -CV_EXPORTS float EMD( InputArray signature1, InputArray signature2, - int distType, InputArray cost=noArray(), - float* lowerBound=0, OutputArray flow=noArray() ); - -//! segments the image using watershed algorithm -CV_EXPORTS_W void watershed( InputArray image, InputOutputArray markers ); - -//! filters image using meanshift algorithm -CV_EXPORTS_W void pyrMeanShiftFiltering( InputArray src, OutputArray dst, - double sp, double sr, int maxLevel=1, - TermCriteria termcrit=TermCriteria( - TermCriteria::MAX_ITER+TermCriteria::EPS,5,1) ); - -//! class of the pixel in GrabCut algorithm -enum -{ - GC_BGD = 0, //!< background - GC_FGD = 1, //!< foreground - GC_PR_BGD = 2, //!< most probably background - GC_PR_FGD = 3 //!< most probably foreground -}; - -//! GrabCut algorithm flags -enum -{ - GC_INIT_WITH_RECT = 0, - GC_INIT_WITH_MASK = 1, - GC_EVAL = 2 -}; - -//! segments the image using GrabCut algorithm -CV_EXPORTS_W void grabCut( InputArray img, InputOutputArray mask, Rect rect, - InputOutputArray bgdModel, InputOutputArray fgdModel, - int iterCount, int mode = GC_EVAL ); - -enum -{ - DIST_LABEL_CCOMP = 0, - DIST_LABEL_PIXEL = 1 -}; - -//! builds the discrete Voronoi diagram -CV_EXPORTS_AS(distanceTransformWithLabels) void distanceTransform( InputArray src, OutputArray dst, - OutputArray labels, int distanceType, int maskSize, - int labelType=DIST_LABEL_CCOMP ); - -//! computes the distance transform map -CV_EXPORTS_W void distanceTransform( InputArray src, OutputArray dst, - int distanceType, int maskSize ); - -enum { FLOODFILL_FIXED_RANGE = 1 << 16, FLOODFILL_MASK_ONLY = 1 << 17 }; - -//! fills the semi-uniform image region starting from the specified seed point -CV_EXPORTS int floodFill( InputOutputArray image, - Point seedPoint, Scalar newVal, CV_OUT Rect* rect=0, - Scalar loDiff=Scalar(), Scalar upDiff=Scalar(), - int flags=4 ); - -//! fills the semi-uniform image region and/or the mask starting from the specified seed point -CV_EXPORTS_W int floodFill( InputOutputArray image, InputOutputArray mask, - Point seedPoint, Scalar newVal, CV_OUT Rect* rect=0, - Scalar loDiff=Scalar(), Scalar upDiff=Scalar(), - int flags=4 ); - - -enum -{ - COLOR_BGR2BGRA =0, - COLOR_RGB2RGBA =COLOR_BGR2BGRA, - - COLOR_BGRA2BGR =1, - COLOR_RGBA2RGB =COLOR_BGRA2BGR, - - COLOR_BGR2RGBA =2, - COLOR_RGB2BGRA =COLOR_BGR2RGBA, - - COLOR_RGBA2BGR =3, - COLOR_BGRA2RGB =COLOR_RGBA2BGR, - - COLOR_BGR2RGB =4, - COLOR_RGB2BGR =COLOR_BGR2RGB, - - COLOR_BGRA2RGBA =5, - COLOR_RGBA2BGRA =COLOR_BGRA2RGBA, - - COLOR_BGR2GRAY =6, - COLOR_RGB2GRAY =7, - COLOR_GRAY2BGR =8, - COLOR_GRAY2RGB =COLOR_GRAY2BGR, - COLOR_GRAY2BGRA =9, - COLOR_GRAY2RGBA =COLOR_GRAY2BGRA, - COLOR_BGRA2GRAY =10, - COLOR_RGBA2GRAY =11, - - COLOR_BGR2BGR565 =12, - COLOR_RGB2BGR565 =13, - COLOR_BGR5652BGR =14, - COLOR_BGR5652RGB =15, - COLOR_BGRA2BGR565 =16, - COLOR_RGBA2BGR565 =17, - COLOR_BGR5652BGRA =18, - COLOR_BGR5652RGBA =19, - - COLOR_GRAY2BGR565 =20, - COLOR_BGR5652GRAY =21, - - COLOR_BGR2BGR555 =22, - COLOR_RGB2BGR555 =23, - COLOR_BGR5552BGR =24, - COLOR_BGR5552RGB =25, - COLOR_BGRA2BGR555 =26, - COLOR_RGBA2BGR555 =27, - COLOR_BGR5552BGRA =28, - COLOR_BGR5552RGBA =29, - - COLOR_GRAY2BGR555 =30, - COLOR_BGR5552GRAY =31, - - COLOR_BGR2XYZ =32, - COLOR_RGB2XYZ =33, - COLOR_XYZ2BGR =34, - COLOR_XYZ2RGB =35, - - COLOR_BGR2YCrCb =36, - COLOR_RGB2YCrCb =37, - COLOR_YCrCb2BGR =38, - COLOR_YCrCb2RGB =39, - - COLOR_BGR2HSV =40, - COLOR_RGB2HSV =41, - - COLOR_BGR2Lab =44, - COLOR_RGB2Lab =45, - - COLOR_BayerBG2BGR =46, - COLOR_BayerGB2BGR =47, - COLOR_BayerRG2BGR =48, - COLOR_BayerGR2BGR =49, - - COLOR_BayerBG2RGB =COLOR_BayerRG2BGR, - COLOR_BayerGB2RGB =COLOR_BayerGR2BGR, - COLOR_BayerRG2RGB =COLOR_BayerBG2BGR, - COLOR_BayerGR2RGB =COLOR_BayerGB2BGR, - - COLOR_BGR2Luv =50, - COLOR_RGB2Luv =51, - COLOR_BGR2HLS =52, - COLOR_RGB2HLS =53, - - COLOR_HSV2BGR =54, - COLOR_HSV2RGB =55, - - COLOR_Lab2BGR =56, - COLOR_Lab2RGB =57, - COLOR_Luv2BGR =58, - COLOR_Luv2RGB =59, - COLOR_HLS2BGR =60, - COLOR_HLS2RGB =61, - - COLOR_BayerBG2BGR_VNG =62, - COLOR_BayerGB2BGR_VNG =63, - COLOR_BayerRG2BGR_VNG =64, - COLOR_BayerGR2BGR_VNG =65, - - COLOR_BayerBG2RGB_VNG =COLOR_BayerRG2BGR_VNG, - COLOR_BayerGB2RGB_VNG =COLOR_BayerGR2BGR_VNG, - COLOR_BayerRG2RGB_VNG =COLOR_BayerBG2BGR_VNG, - COLOR_BayerGR2RGB_VNG =COLOR_BayerGB2BGR_VNG, - - COLOR_BGR2HSV_FULL = 66, - COLOR_RGB2HSV_FULL = 67, - COLOR_BGR2HLS_FULL = 68, - COLOR_RGB2HLS_FULL = 69, - - COLOR_HSV2BGR_FULL = 70, - COLOR_HSV2RGB_FULL = 71, - COLOR_HLS2BGR_FULL = 72, - COLOR_HLS2RGB_FULL = 73, - - COLOR_LBGR2Lab = 74, - COLOR_LRGB2Lab = 75, - COLOR_LBGR2Luv = 76, - COLOR_LRGB2Luv = 77, - - COLOR_Lab2LBGR = 78, - COLOR_Lab2LRGB = 79, - COLOR_Luv2LBGR = 80, - COLOR_Luv2LRGB = 81, - - COLOR_BGR2YUV = 82, - COLOR_RGB2YUV = 83, - COLOR_YUV2BGR = 84, - COLOR_YUV2RGB = 85, - - COLOR_BayerBG2GRAY = 86, - COLOR_BayerGB2GRAY = 87, - COLOR_BayerRG2GRAY = 88, - COLOR_BayerGR2GRAY = 89, - - //YUV 4:2:0 formats family - COLOR_YUV2RGB_NV12 = 90, - COLOR_YUV2BGR_NV12 = 91, - COLOR_YUV2RGB_NV21 = 92, - COLOR_YUV2BGR_NV21 = 93, - COLOR_YUV420sp2RGB = COLOR_YUV2RGB_NV21, - COLOR_YUV420sp2BGR = COLOR_YUV2BGR_NV21, - - COLOR_YUV2RGBA_NV12 = 94, - COLOR_YUV2BGRA_NV12 = 95, - COLOR_YUV2RGBA_NV21 = 96, - COLOR_YUV2BGRA_NV21 = 97, - COLOR_YUV420sp2RGBA = COLOR_YUV2RGBA_NV21, - COLOR_YUV420sp2BGRA = COLOR_YUV2BGRA_NV21, - - COLOR_YUV2RGB_YV12 = 98, - COLOR_YUV2BGR_YV12 = 99, - COLOR_YUV2RGB_IYUV = 100, - COLOR_YUV2BGR_IYUV = 101, - COLOR_YUV2RGB_I420 = COLOR_YUV2RGB_IYUV, - COLOR_YUV2BGR_I420 = COLOR_YUV2BGR_IYUV, - COLOR_YUV420p2RGB = COLOR_YUV2RGB_YV12, - COLOR_YUV420p2BGR = COLOR_YUV2BGR_YV12, - - COLOR_YUV2RGBA_YV12 = 102, - COLOR_YUV2BGRA_YV12 = 103, - COLOR_YUV2RGBA_IYUV = 104, - COLOR_YUV2BGRA_IYUV = 105, - COLOR_YUV2RGBA_I420 = COLOR_YUV2RGBA_IYUV, - COLOR_YUV2BGRA_I420 = COLOR_YUV2BGRA_IYUV, - COLOR_YUV420p2RGBA = COLOR_YUV2RGBA_YV12, - COLOR_YUV420p2BGRA = COLOR_YUV2BGRA_YV12, - - COLOR_YUV2GRAY_420 = 106, - COLOR_YUV2GRAY_NV21 = COLOR_YUV2GRAY_420, - COLOR_YUV2GRAY_NV12 = COLOR_YUV2GRAY_420, - COLOR_YUV2GRAY_YV12 = COLOR_YUV2GRAY_420, - COLOR_YUV2GRAY_IYUV = COLOR_YUV2GRAY_420, - COLOR_YUV2GRAY_I420 = COLOR_YUV2GRAY_420, - COLOR_YUV420sp2GRAY = COLOR_YUV2GRAY_420, - COLOR_YUV420p2GRAY = COLOR_YUV2GRAY_420, - - //YUV 4:2:2 formats family - COLOR_YUV2RGB_UYVY = 107, - COLOR_YUV2BGR_UYVY = 108, - //COLOR_YUV2RGB_VYUY = 109, - //COLOR_YUV2BGR_VYUY = 110, - COLOR_YUV2RGB_Y422 = COLOR_YUV2RGB_UYVY, - COLOR_YUV2BGR_Y422 = COLOR_YUV2BGR_UYVY, - COLOR_YUV2RGB_UYNV = COLOR_YUV2RGB_UYVY, - COLOR_YUV2BGR_UYNV = COLOR_YUV2BGR_UYVY, - - COLOR_YUV2RGBA_UYVY = 111, - COLOR_YUV2BGRA_UYVY = 112, - //COLOR_YUV2RGBA_VYUY = 113, - //COLOR_YUV2BGRA_VYUY = 114, - COLOR_YUV2RGBA_Y422 = COLOR_YUV2RGBA_UYVY, - COLOR_YUV2BGRA_Y422 = COLOR_YUV2BGRA_UYVY, - COLOR_YUV2RGBA_UYNV = COLOR_YUV2RGBA_UYVY, - COLOR_YUV2BGRA_UYNV = COLOR_YUV2BGRA_UYVY, - - COLOR_YUV2RGB_YUY2 = 115, - COLOR_YUV2BGR_YUY2 = 116, - COLOR_YUV2RGB_YVYU = 117, - COLOR_YUV2BGR_YVYU = 118, - COLOR_YUV2RGB_YUYV = COLOR_YUV2RGB_YUY2, - COLOR_YUV2BGR_YUYV = COLOR_YUV2BGR_YUY2, - COLOR_YUV2RGB_YUNV = COLOR_YUV2RGB_YUY2, - COLOR_YUV2BGR_YUNV = COLOR_YUV2BGR_YUY2, - - COLOR_YUV2RGBA_YUY2 = 119, - COLOR_YUV2BGRA_YUY2 = 120, - COLOR_YUV2RGBA_YVYU = 121, - COLOR_YUV2BGRA_YVYU = 122, - COLOR_YUV2RGBA_YUYV = COLOR_YUV2RGBA_YUY2, - COLOR_YUV2BGRA_YUYV = COLOR_YUV2BGRA_YUY2, - COLOR_YUV2RGBA_YUNV = COLOR_YUV2RGBA_YUY2, - COLOR_YUV2BGRA_YUNV = COLOR_YUV2BGRA_YUY2, - - COLOR_YUV2GRAY_UYVY = 123, - COLOR_YUV2GRAY_YUY2 = 124, - //COLOR_YUV2GRAY_VYUY = COLOR_YUV2GRAY_UYVY, - COLOR_YUV2GRAY_Y422 = COLOR_YUV2GRAY_UYVY, - COLOR_YUV2GRAY_UYNV = COLOR_YUV2GRAY_UYVY, - COLOR_YUV2GRAY_YVYU = COLOR_YUV2GRAY_YUY2, - COLOR_YUV2GRAY_YUYV = COLOR_YUV2GRAY_YUY2, - COLOR_YUV2GRAY_YUNV = COLOR_YUV2GRAY_YUY2, - - // alpha premultiplication - COLOR_RGBA2mRGBA = 125, - COLOR_mRGBA2RGBA = 126, - - COLOR_RGB2YUV_I420 = 127, - COLOR_BGR2YUV_I420 = 128, - COLOR_RGB2YUV_IYUV = COLOR_RGB2YUV_I420, - COLOR_BGR2YUV_IYUV = COLOR_BGR2YUV_I420, - - COLOR_RGBA2YUV_I420 = 129, - COLOR_BGRA2YUV_I420 = 130, - COLOR_RGBA2YUV_IYUV = COLOR_RGBA2YUV_I420, - COLOR_BGRA2YUV_IYUV = COLOR_BGRA2YUV_I420, - COLOR_RGB2YUV_YV12 = 131, - COLOR_BGR2YUV_YV12 = 132, - COLOR_RGBA2YUV_YV12 = 133, - COLOR_BGRA2YUV_YV12 = 134, - - COLOR_COLORCVT_MAX = 135 -}; - - -//! converts image from one color space to another -CV_EXPORTS_W void cvtColor( InputArray src, OutputArray dst, int code, int dstCn=0 ); - -//! raster image moments -class CV_EXPORTS_W_MAP Moments -{ -public: - //! the default constructor - Moments(); - //! the full constructor - Moments(double m00, double m10, double m01, double m20, double m11, - double m02, double m30, double m21, double m12, double m03 ); - //! the conversion from CvMoments - Moments( const CvMoments& moments ); - //! the conversion to CvMoments - operator CvMoments() const; - - //! spatial moments - CV_PROP_RW double m00, m10, m01, m20, m11, m02, m30, m21, m12, m03; - //! central moments - CV_PROP_RW double mu20, mu11, mu02, mu30, mu21, mu12, mu03; - //! central normalized moments - CV_PROP_RW double nu20, nu11, nu02, nu30, nu21, nu12, nu03; -}; - -//! computes moments of the rasterized shape or a vector of points -CV_EXPORTS_W Moments moments( InputArray array, bool binaryImage=false ); - -//! computes 7 Hu invariants from the moments -CV_EXPORTS void HuMoments( const Moments& moments, double hu[7] ); -CV_EXPORTS_W void HuMoments( const Moments& m, CV_OUT OutputArray hu ); - -//! type of the template matching operation -enum { TM_SQDIFF=0, TM_SQDIFF_NORMED=1, TM_CCORR=2, TM_CCORR_NORMED=3, TM_CCOEFF=4, TM_CCOEFF_NORMED=5 }; - -//! computes the proximity map for the raster template and the image where the template is searched for -CV_EXPORTS_W void matchTemplate( InputArray image, InputArray templ, - OutputArray result, int method ); - -//! mode of the contour retrieval algorithm -enum -{ - RETR_EXTERNAL=CV_RETR_EXTERNAL, //!< retrieve only the most external (top-level) contours - RETR_LIST=CV_RETR_LIST, //!< retrieve all the contours without any hierarchical information - RETR_CCOMP=CV_RETR_CCOMP, //!< retrieve the connected components (that can possibly be nested) - RETR_TREE=CV_RETR_TREE, //!< retrieve all the contours and the whole hierarchy - RETR_FLOODFILL=CV_RETR_FLOODFILL -}; - -//! the contour approximation algorithm -enum -{ - CHAIN_APPROX_NONE=CV_CHAIN_APPROX_NONE, - CHAIN_APPROX_SIMPLE=CV_CHAIN_APPROX_SIMPLE, - CHAIN_APPROX_TC89_L1=CV_CHAIN_APPROX_TC89_L1, - CHAIN_APPROX_TC89_KCOS=CV_CHAIN_APPROX_TC89_KCOS -}; - -//! retrieves contours and the hierarchical information from black-n-white image. -CV_EXPORTS_W void findContours( InputOutputArray image, OutputArrayOfArrays contours, - OutputArray hierarchy, int mode, - int method, Point offset=Point()); - -//! retrieves contours from black-n-white image. -CV_EXPORTS void findContours( InputOutputArray image, OutputArrayOfArrays contours, - int mode, int method, Point offset=Point()); - -//! draws contours in the image -CV_EXPORTS_W void drawContours( InputOutputArray image, InputArrayOfArrays contours, - int contourIdx, const Scalar& color, - int thickness=1, int lineType=8, - InputArray hierarchy=noArray(), - int maxLevel=INT_MAX, Point offset=Point() ); - -//! approximates contour or a curve using Douglas-Peucker algorithm -CV_EXPORTS_W void approxPolyDP( InputArray curve, - OutputArray approxCurve, - double epsilon, bool closed ); - -//! computes the contour perimeter (closed=true) or a curve length -CV_EXPORTS_W double arcLength( InputArray curve, bool closed ); -//! computes the bounding rectangle for a contour -CV_EXPORTS_W Rect boundingRect( InputArray points ); -//! computes the contour area -CV_EXPORTS_W double contourArea( InputArray contour, bool oriented=false ); -//! computes the minimal rotated rectangle for a set of points -CV_EXPORTS_W RotatedRect minAreaRect( InputArray points ); -//! computes the minimal enclosing circle for a set of points -CV_EXPORTS_W void minEnclosingCircle( InputArray points, - CV_OUT Point2f& center, CV_OUT float& radius ); -//! matches two contours using one of the available algorithms -CV_EXPORTS_W double matchShapes( InputArray contour1, InputArray contour2, - int method, double parameter ); -//! computes convex hull for a set of 2D points. -CV_EXPORTS_W void convexHull( InputArray points, OutputArray hull, - bool clockwise=false, bool returnPoints=true ); -//! computes the contour convexity defects -CV_EXPORTS_W void convexityDefects( InputArray contour, InputArray convexhull, OutputArray convexityDefects ); - -//! returns true if the contour is convex. Does not support contours with self-intersection -CV_EXPORTS_W bool isContourConvex( InputArray contour ); - -//! finds intersection of two convex polygons -CV_EXPORTS_W float intersectConvexConvex( InputArray _p1, InputArray _p2, - OutputArray _p12, bool handleNested=true ); - -//! fits ellipse to the set of 2D points -CV_EXPORTS_W RotatedRect fitEllipse( InputArray points ); - -//! fits line to the set of 2D points using M-estimator algorithm -CV_EXPORTS_W void fitLine( InputArray points, OutputArray line, int distType, - double param, double reps, double aeps ); -//! checks if the point is inside the contour. Optionally computes the signed distance from the point to the contour boundary -CV_EXPORTS_W double pointPolygonTest( InputArray contour, Point2f pt, bool measureDist ); - - -class CV_EXPORTS_W Subdiv2D -{ -public: - enum - { - PTLOC_ERROR = -2, - PTLOC_OUTSIDE_RECT = -1, - PTLOC_INSIDE = 0, - PTLOC_VERTEX = 1, - PTLOC_ON_EDGE = 2 - }; - - enum - { - NEXT_AROUND_ORG = 0x00, - NEXT_AROUND_DST = 0x22, - PREV_AROUND_ORG = 0x11, - PREV_AROUND_DST = 0x33, - NEXT_AROUND_LEFT = 0x13, - NEXT_AROUND_RIGHT = 0x31, - PREV_AROUND_LEFT = 0x20, - PREV_AROUND_RIGHT = 0x02 - }; - - CV_WRAP Subdiv2D(); - CV_WRAP Subdiv2D(Rect rect); - CV_WRAP void initDelaunay(Rect rect); - - CV_WRAP int insert(Point2f pt); - CV_WRAP void insert(const vector& ptvec); - CV_WRAP int locate(Point2f pt, CV_OUT int& edge, CV_OUT int& vertex); - - CV_WRAP int findNearest(Point2f pt, CV_OUT Point2f* nearestPt=0); - CV_WRAP void getEdgeList(CV_OUT vector& edgeList) const; - CV_WRAP void getTriangleList(CV_OUT vector& triangleList) const; - CV_WRAP void getVoronoiFacetList(const vector& idx, CV_OUT vector >& facetList, - CV_OUT vector& facetCenters); - - CV_WRAP Point2f getVertex(int vertex, CV_OUT int* firstEdge=0) const; - - CV_WRAP int getEdge( int edge, int nextEdgeType ) const; - CV_WRAP int nextEdge(int edge) const; - CV_WRAP int rotateEdge(int edge, int rotate) const; - CV_WRAP int symEdge(int edge) const; - CV_WRAP int edgeOrg(int edge, CV_OUT Point2f* orgpt=0) const; - CV_WRAP int edgeDst(int edge, CV_OUT Point2f* dstpt=0) const; - -protected: - int newEdge(); - void deleteEdge(int edge); - int newPoint(Point2f pt, bool isvirtual, int firstEdge=0); - void deletePoint(int vtx); - void setEdgePoints( int edge, int orgPt, int dstPt ); - void splice( int edgeA, int edgeB ); - int connectEdges( int edgeA, int edgeB ); - void swapEdges( int edge ); - int isRightOf(Point2f pt, int edge) const; - void calcVoronoi(); - void clearVoronoi(); - void checkSubdiv() const; - - struct CV_EXPORTS Vertex - { - Vertex(); - Vertex(Point2f pt, bool _isvirtual, int _firstEdge=0); - bool isvirtual() const; - bool isfree() const; - int firstEdge; - int type; - Point2f pt; - }; - struct CV_EXPORTS QuadEdge - { - QuadEdge(); - QuadEdge(int edgeidx); - bool isfree() const; - int next[4]; - int pt[4]; - }; - - vector vtx; - vector qedges; - int freeQEdge; - int freePoint; - bool validGeometry; - - int recentEdge; - Point2f topLeft; - Point2f bottomRight; -}; - -} - -#endif /* __cplusplus */ - -#endif - -/* End of file. */ diff --git a/phonelibs/opencv/include/opencv2/imgproc/imgproc_c.h b/phonelibs/opencv/include/opencv2/imgproc/imgproc_c.h deleted file mode 100644 index 46d9f01393..0000000000 --- a/phonelibs/opencv/include/opencv2/imgproc/imgproc_c.h +++ /dev/null @@ -1,623 +0,0 @@ -/*M/////////////////////////////////////////////////////////////////////////////////////// -// -// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING. -// -// By downloading, copying, installing or using the software you agree to this license. -// If you do not agree to this license, do not download, install, -// copy or use the software. -// -// -// License Agreement -// For Open Source Computer Vision Library -// -// Copyright (C) 2000-2008, Intel Corporation, all rights reserved. -// Copyright (C) 2009, Willow Garage Inc., all rights reserved. -// Third party copyrights are property of their respective owners. -// -// Redistribution and use in source and binary forms, with or without modification, -// are permitted provided that the following conditions are met: -// -// * Redistribution's of source code must retain the above copyright notice, -// this list of conditions and the following disclaimer. -// -// * Redistribution's in binary form must reproduce the above copyright notice, -// this list of conditions and the following disclaimer in the documentation -// and/or other materials provided with the distribution. -// -// * The name of the copyright holders may not be used to endorse or promote products -// derived from this software without specific prior written permission. -// -// This software is provided by the copyright holders and contributors "as is" and -// any express or implied warranties, including, but not limited to, the implied -// warranties of merchantability and fitness for a particular purpose are disclaimed. -// In no event shall the Intel Corporation or contributors be liable for any direct, -// indirect, incidental, special, exemplary, or consequential damages -// (including, but not limited to, procurement of substitute goods or services; -// loss of use, data, or profits; or business interruption) however caused -// and on any theory of liability, whether in contract, strict liability, -// or tort (including negligence or otherwise) arising in any way out of -// the use of this software, even if advised of the possibility of such damage. -// -//M*/ - -#ifndef __OPENCV_IMGPROC_IMGPROC_C_H__ -#define __OPENCV_IMGPROC_IMGPROC_C_H__ - -#include "opencv2/core/core_c.h" -#include "opencv2/imgproc/types_c.h" - -#ifdef __cplusplus -extern "C" { -#endif - -/*********************** Background statistics accumulation *****************************/ - -/* Adds image to accumulator */ -CVAPI(void) cvAcc( const CvArr* image, CvArr* sum, - const CvArr* mask CV_DEFAULT(NULL) ); - -/* Adds squared image to accumulator */ -CVAPI(void) cvSquareAcc( const CvArr* image, CvArr* sqsum, - const CvArr* mask CV_DEFAULT(NULL) ); - -/* Adds a product of two images to accumulator */ -CVAPI(void) cvMultiplyAcc( const CvArr* image1, const CvArr* image2, CvArr* acc, - const CvArr* mask CV_DEFAULT(NULL) ); - -/* Adds image to accumulator with weights: acc = acc*(1-alpha) + image*alpha */ -CVAPI(void) cvRunningAvg( const CvArr* image, CvArr* acc, double alpha, - const CvArr* mask CV_DEFAULT(NULL) ); - -/****************************************************************************************\ -* Image Processing * -\****************************************************************************************/ - -/* Copies source 2D array inside of the larger destination array and - makes a border of the specified type (IPL_BORDER_*) around the copied area. */ -CVAPI(void) cvCopyMakeBorder( const CvArr* src, CvArr* dst, CvPoint offset, - int bordertype, CvScalar value CV_DEFAULT(cvScalarAll(0))); - -/* Smoothes array (removes noise) */ -CVAPI(void) cvSmooth( const CvArr* src, CvArr* dst, - int smoothtype CV_DEFAULT(CV_GAUSSIAN), - int size1 CV_DEFAULT(3), - int size2 CV_DEFAULT(0), - double sigma1 CV_DEFAULT(0), - double sigma2 CV_DEFAULT(0)); - -/* Convolves the image with the kernel */ -CVAPI(void) cvFilter2D( const CvArr* src, CvArr* dst, const CvMat* kernel, - CvPoint anchor CV_DEFAULT(cvPoint(-1,-1))); - -/* Finds integral image: SUM(X,Y) = sum(x. - After that sum of histogram bins is equal to */ -CVAPI(void) cvNormalizeHist( CvHistogram* hist, double factor ); - - -/* Clear all histogram bins that are below the threshold */ -CVAPI(void) cvThreshHist( CvHistogram* hist, double threshold ); - - -/* Compares two histogram */ -CVAPI(double) cvCompareHist( const CvHistogram* hist1, - const CvHistogram* hist2, - int method); - -/* Copies one histogram to another. Destination histogram is created if - the destination pointer is NULL */ -CVAPI(void) cvCopyHist( const CvHistogram* src, CvHistogram** dst ); - - -/* Calculates bayesian probabilistic histograms - (each or src and dst is an array of histograms */ -CVAPI(void) cvCalcBayesianProb( CvHistogram** src, int number, - CvHistogram** dst); - -/* Calculates array histogram */ -CVAPI(void) cvCalcArrHist( CvArr** arr, CvHistogram* hist, - int accumulate CV_DEFAULT(0), - const CvArr* mask CV_DEFAULT(NULL) ); - -CV_INLINE void cvCalcHist( IplImage** image, CvHistogram* hist, - int accumulate CV_DEFAULT(0), - const CvArr* mask CV_DEFAULT(NULL) ) -{ - cvCalcArrHist( (CvArr**)image, hist, accumulate, mask ); -} - -/* Calculates back project */ -CVAPI(void) cvCalcArrBackProject( CvArr** image, CvArr* dst, - const CvHistogram* hist ); -#define cvCalcBackProject(image, dst, hist) cvCalcArrBackProject((CvArr**)image, dst, hist) - - -/* Does some sort of template matching but compares histograms of - template and each window location */ -CVAPI(void) cvCalcArrBackProjectPatch( CvArr** image, CvArr* dst, CvSize range, - CvHistogram* hist, int method, - double factor ); -#define cvCalcBackProjectPatch( image, dst, range, hist, method, factor ) \ - cvCalcArrBackProjectPatch( (CvArr**)image, dst, range, hist, method, factor ) - - -/* calculates probabilistic density (divides one histogram by another) */ -CVAPI(void) cvCalcProbDensity( const CvHistogram* hist1, const CvHistogram* hist2, - CvHistogram* dst_hist, double scale CV_DEFAULT(255) ); - -/* equalizes histogram of 8-bit single-channel image */ -CVAPI(void) cvEqualizeHist( const CvArr* src, CvArr* dst ); - - -/* Applies distance transform to binary image */ -CVAPI(void) cvDistTransform( const CvArr* src, CvArr* dst, - int distance_type CV_DEFAULT(CV_DIST_L2), - int mask_size CV_DEFAULT(3), - const float* mask CV_DEFAULT(NULL), - CvArr* labels CV_DEFAULT(NULL), - int labelType CV_DEFAULT(CV_DIST_LABEL_CCOMP)); - - -/* Applies fixed-level threshold to grayscale image. - This is a basic operation applied before retrieving contours */ -CVAPI(double) cvThreshold( const CvArr* src, CvArr* dst, - double threshold, double max_value, - int threshold_type ); - -/* Applies adaptive threshold to grayscale image. - The two parameters for methods CV_ADAPTIVE_THRESH_MEAN_C and - CV_ADAPTIVE_THRESH_GAUSSIAN_C are: - neighborhood size (3, 5, 7 etc.), - and a constant subtracted from mean (...,-3,-2,-1,0,1,2,3,...) */ -CVAPI(void) cvAdaptiveThreshold( const CvArr* src, CvArr* dst, double max_value, - int adaptive_method CV_DEFAULT(CV_ADAPTIVE_THRESH_MEAN_C), - int threshold_type CV_DEFAULT(CV_THRESH_BINARY), - int block_size CV_DEFAULT(3), - double param1 CV_DEFAULT(5)); - -/* Fills the connected component until the color difference gets large enough */ -CVAPI(void) cvFloodFill( CvArr* image, CvPoint seed_point, - CvScalar new_val, CvScalar lo_diff CV_DEFAULT(cvScalarAll(0)), - CvScalar up_diff CV_DEFAULT(cvScalarAll(0)), - CvConnectedComp* comp CV_DEFAULT(NULL), - int flags CV_DEFAULT(4), - CvArr* mask CV_DEFAULT(NULL)); - -/****************************************************************************************\ -* Feature detection * -\****************************************************************************************/ - -/* Runs canny edge detector */ -CVAPI(void) cvCanny( const CvArr* image, CvArr* edges, double threshold1, - double threshold2, int aperture_size CV_DEFAULT(3) ); - -/* Calculates constraint image for corner detection - Dx^2 * Dyy + Dxx * Dy^2 - 2 * Dx * Dy * Dxy. - Applying threshold to the result gives coordinates of corners */ -CVAPI(void) cvPreCornerDetect( const CvArr* image, CvArr* corners, - int aperture_size CV_DEFAULT(3) ); - -/* Calculates eigen values and vectors of 2x2 - gradient covariation matrix at every image pixel */ -CVAPI(void) cvCornerEigenValsAndVecs( const CvArr* image, CvArr* eigenvv, - int block_size, int aperture_size CV_DEFAULT(3) ); - -/* Calculates minimal eigenvalue for 2x2 gradient covariation matrix at - every image pixel */ -CVAPI(void) cvCornerMinEigenVal( const CvArr* image, CvArr* eigenval, - int block_size, int aperture_size CV_DEFAULT(3) ); - -/* Harris corner detector: - Calculates det(M) - k*(trace(M)^2), where M is 2x2 gradient covariation matrix for each pixel */ -CVAPI(void) cvCornerHarris( const CvArr* image, CvArr* harris_response, - int block_size, int aperture_size CV_DEFAULT(3), - double k CV_DEFAULT(0.04) ); - -/* Adjust corner position using some sort of gradient search */ -CVAPI(void) cvFindCornerSubPix( const CvArr* image, CvPoint2D32f* corners, - int count, CvSize win, CvSize zero_zone, - CvTermCriteria criteria ); - -/* Finds a sparse set of points within the selected region - that seem to be easy to track */ -CVAPI(void) cvGoodFeaturesToTrack( const CvArr* image, CvArr* eig_image, - CvArr* temp_image, CvPoint2D32f* corners, - int* corner_count, double quality_level, - double min_distance, - const CvArr* mask CV_DEFAULT(NULL), - int block_size CV_DEFAULT(3), - int use_harris CV_DEFAULT(0), - double k CV_DEFAULT(0.04) ); - -/* Finds lines on binary image using one of several methods. - line_storage is either memory storage or 1 x CvMat, its - number of columns is changed by the function. - method is one of CV_HOUGH_*; - rho, theta and threshold are used for each of those methods; - param1 ~ line length, param2 ~ line gap - for probabilistic, - param1 ~ srn, param2 ~ stn - for multi-scale */ -CVAPI(CvSeq*) cvHoughLines2( CvArr* image, void* line_storage, int method, - double rho, double theta, int threshold, - double param1 CV_DEFAULT(0), double param2 CV_DEFAULT(0)); - -/* Finds circles in the image */ -CVAPI(CvSeq*) cvHoughCircles( CvArr* image, void* circle_storage, - int method, double dp, double min_dist, - double param1 CV_DEFAULT(100), - double param2 CV_DEFAULT(100), - int min_radius CV_DEFAULT(0), - int max_radius CV_DEFAULT(0)); - -/* Fits a line into set of 2d or 3d points in a robust way (M-estimator technique) */ -CVAPI(void) cvFitLine( const CvArr* points, int dist_type, double param, - double reps, double aeps, float* line ); - -#ifdef __cplusplus -} -#endif - -#endif diff --git a/phonelibs/opencv/include/opencv2/imgproc/types_c.h b/phonelibs/opencv/include/opencv2/imgproc/types_c.h deleted file mode 100644 index 4aba0a8748..0000000000 --- a/phonelibs/opencv/include/opencv2/imgproc/types_c.h +++ /dev/null @@ -1,640 +0,0 @@ -/*M/////////////////////////////////////////////////////////////////////////////////////// -// -// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING. -// -// By downloading, copying, installing or using the software you agree to this license. -// If you do not agree to this license, do not download, install, -// copy or use the software. -// -// -// License Agreement -// For Open Source Computer Vision Library -// -// Copyright (C) 2000-2008, Intel Corporation, all rights reserved. -// Copyright (C) 2009, Willow Garage Inc., all rights reserved. -// Third party copyrights are property of their respective owners. -// -// Redistribution and use in source and binary forms, with or without modification, -// are permitted provided that the following conditions are met: -// -// * Redistribution's of source code must retain the above copyright notice, -// this list of conditions and the following disclaimer. -// -// * Redistribution's in binary form must reproduce the above copyright notice, -// this list of conditions and the following disclaimer in the documentation -// and/or other materials provided with the distribution. -// -// * The name of the copyright holders may not be used to endorse or promote products -// derived from this software without specific prior written permission. -// -// This software is provided by the copyright holders and contributors "as is" and -// any express or implied warranties, including, but not limited to, the implied -// warranties of merchantability and fitness for a particular purpose are disclaimed. -// In no event shall the Intel Corporation or contributors be liable for any direct, -// indirect, incidental, special, exemplary, or consequential damages -// (including, but not limited to, procurement of substitute goods or services; -// loss of use, data, or profits; or business interruption) however caused -// and on any theory of liability, whether in contract, strict liability, -// or tort (including negligence or otherwise) arising in any way out of -// the use of this software, even if advised of the possibility of such damage. -// -//M*/ - -#ifndef __OPENCV_IMGPROC_TYPES_C_H__ -#define __OPENCV_IMGPROC_TYPES_C_H__ - -#include "opencv2/core/core_c.h" - -#ifdef __cplusplus -extern "C" { -#endif - -/* Connected component structure */ -typedef struct CvConnectedComp -{ - double area; /* area of the connected component */ - CvScalar value; /* average color of the connected component */ - CvRect rect; /* ROI of the component */ - CvSeq* contour; /* optional component boundary - (the contour might have child contours corresponding to the holes)*/ -} -CvConnectedComp; - -/* Image smooth methods */ -enum -{ - CV_BLUR_NO_SCALE =0, - CV_BLUR =1, - CV_GAUSSIAN =2, - CV_MEDIAN =3, - CV_BILATERAL =4 -}; - -/* Filters used in pyramid decomposition */ -enum -{ - CV_GAUSSIAN_5x5 = 7 -}; - -/* Special filters */ -enum -{ - CV_SCHARR =-1, - CV_MAX_SOBEL_KSIZE =7 -}; - -/* Constants for color conversion */ -enum -{ - CV_BGR2BGRA =0, - CV_RGB2RGBA =CV_BGR2BGRA, - - CV_BGRA2BGR =1, - CV_RGBA2RGB =CV_BGRA2BGR, - - CV_BGR2RGBA =2, - CV_RGB2BGRA =CV_BGR2RGBA, - - CV_RGBA2BGR =3, - CV_BGRA2RGB =CV_RGBA2BGR, - - CV_BGR2RGB =4, - CV_RGB2BGR =CV_BGR2RGB, - - CV_BGRA2RGBA =5, - CV_RGBA2BGRA =CV_BGRA2RGBA, - - CV_BGR2GRAY =6, - CV_RGB2GRAY =7, - CV_GRAY2BGR =8, - CV_GRAY2RGB =CV_GRAY2BGR, - CV_GRAY2BGRA =9, - CV_GRAY2RGBA =CV_GRAY2BGRA, - CV_BGRA2GRAY =10, - CV_RGBA2GRAY =11, - - CV_BGR2BGR565 =12, - CV_RGB2BGR565 =13, - CV_BGR5652BGR =14, - CV_BGR5652RGB =15, - CV_BGRA2BGR565 =16, - CV_RGBA2BGR565 =17, - CV_BGR5652BGRA =18, - CV_BGR5652RGBA =19, - - CV_GRAY2BGR565 =20, - CV_BGR5652GRAY =21, - - CV_BGR2BGR555 =22, - CV_RGB2BGR555 =23, - CV_BGR5552BGR =24, - CV_BGR5552RGB =25, - CV_BGRA2BGR555 =26, - CV_RGBA2BGR555 =27, - CV_BGR5552BGRA =28, - CV_BGR5552RGBA =29, - - CV_GRAY2BGR555 =30, - CV_BGR5552GRAY =31, - - CV_BGR2XYZ =32, - CV_RGB2XYZ =33, - CV_XYZ2BGR =34, - CV_XYZ2RGB =35, - - CV_BGR2YCrCb =36, - CV_RGB2YCrCb =37, - CV_YCrCb2BGR =38, - CV_YCrCb2RGB =39, - - CV_BGR2HSV =40, - CV_RGB2HSV =41, - - CV_BGR2Lab =44, - CV_RGB2Lab =45, - - CV_BayerBG2BGR =46, - CV_BayerGB2BGR =47, - CV_BayerRG2BGR =48, - CV_BayerGR2BGR =49, - - CV_BayerBG2RGB =CV_BayerRG2BGR, - CV_BayerGB2RGB =CV_BayerGR2BGR, - CV_BayerRG2RGB =CV_BayerBG2BGR, - CV_BayerGR2RGB =CV_BayerGB2BGR, - - CV_BGR2Luv =50, - CV_RGB2Luv =51, - CV_BGR2HLS =52, - CV_RGB2HLS =53, - - CV_HSV2BGR =54, - CV_HSV2RGB =55, - - CV_Lab2BGR =56, - CV_Lab2RGB =57, - CV_Luv2BGR =58, - CV_Luv2RGB =59, - CV_HLS2BGR =60, - CV_HLS2RGB =61, - - CV_BayerBG2BGR_VNG =62, - CV_BayerGB2BGR_VNG =63, - CV_BayerRG2BGR_VNG =64, - CV_BayerGR2BGR_VNG =65, - - CV_BayerBG2RGB_VNG =CV_BayerRG2BGR_VNG, - CV_BayerGB2RGB_VNG =CV_BayerGR2BGR_VNG, - CV_BayerRG2RGB_VNG =CV_BayerBG2BGR_VNG, - CV_BayerGR2RGB_VNG =CV_BayerGB2BGR_VNG, - - CV_BGR2HSV_FULL = 66, - CV_RGB2HSV_FULL = 67, - CV_BGR2HLS_FULL = 68, - CV_RGB2HLS_FULL = 69, - - CV_HSV2BGR_FULL = 70, - CV_HSV2RGB_FULL = 71, - CV_HLS2BGR_FULL = 72, - CV_HLS2RGB_FULL = 73, - - CV_LBGR2Lab = 74, - CV_LRGB2Lab = 75, - CV_LBGR2Luv = 76, - CV_LRGB2Luv = 77, - - CV_Lab2LBGR = 78, - CV_Lab2LRGB = 79, - CV_Luv2LBGR = 80, - CV_Luv2LRGB = 81, - - CV_BGR2YUV = 82, - CV_RGB2YUV = 83, - CV_YUV2BGR = 84, - CV_YUV2RGB = 85, - - CV_BayerBG2GRAY = 86, - CV_BayerGB2GRAY = 87, - CV_BayerRG2GRAY = 88, - CV_BayerGR2GRAY = 89, - - //YUV 4:2:0 formats family - CV_YUV2RGB_NV12 = 90, - CV_YUV2BGR_NV12 = 91, - CV_YUV2RGB_NV21 = 92, - CV_YUV2BGR_NV21 = 93, - CV_YUV420sp2RGB = CV_YUV2RGB_NV21, - CV_YUV420sp2BGR = CV_YUV2BGR_NV21, - - CV_YUV2RGBA_NV12 = 94, - CV_YUV2BGRA_NV12 = 95, - CV_YUV2RGBA_NV21 = 96, - CV_YUV2BGRA_NV21 = 97, - CV_YUV420sp2RGBA = CV_YUV2RGBA_NV21, - CV_YUV420sp2BGRA = CV_YUV2BGRA_NV21, - - CV_YUV2RGB_YV12 = 98, - CV_YUV2BGR_YV12 = 99, - CV_YUV2RGB_IYUV = 100, - CV_YUV2BGR_IYUV = 101, - CV_YUV2RGB_I420 = CV_YUV2RGB_IYUV, - CV_YUV2BGR_I420 = CV_YUV2BGR_IYUV, - CV_YUV420p2RGB = CV_YUV2RGB_YV12, - CV_YUV420p2BGR = CV_YUV2BGR_YV12, - - CV_YUV2RGBA_YV12 = 102, - CV_YUV2BGRA_YV12 = 103, - CV_YUV2RGBA_IYUV = 104, - CV_YUV2BGRA_IYUV = 105, - CV_YUV2RGBA_I420 = CV_YUV2RGBA_IYUV, - CV_YUV2BGRA_I420 = CV_YUV2BGRA_IYUV, - CV_YUV420p2RGBA = CV_YUV2RGBA_YV12, - CV_YUV420p2BGRA = CV_YUV2BGRA_YV12, - - CV_YUV2GRAY_420 = 106, - CV_YUV2GRAY_NV21 = CV_YUV2GRAY_420, - CV_YUV2GRAY_NV12 = CV_YUV2GRAY_420, - CV_YUV2GRAY_YV12 = CV_YUV2GRAY_420, - CV_YUV2GRAY_IYUV = CV_YUV2GRAY_420, - CV_YUV2GRAY_I420 = CV_YUV2GRAY_420, - CV_YUV420sp2GRAY = CV_YUV2GRAY_420, - CV_YUV420p2GRAY = CV_YUV2GRAY_420, - - //YUV 4:2:2 formats family - CV_YUV2RGB_UYVY = 107, - CV_YUV2BGR_UYVY = 108, - //CV_YUV2RGB_VYUY = 109, - //CV_YUV2BGR_VYUY = 110, - CV_YUV2RGB_Y422 = CV_YUV2RGB_UYVY, - CV_YUV2BGR_Y422 = CV_YUV2BGR_UYVY, - CV_YUV2RGB_UYNV = CV_YUV2RGB_UYVY, - CV_YUV2BGR_UYNV = CV_YUV2BGR_UYVY, - - CV_YUV2RGBA_UYVY = 111, - CV_YUV2BGRA_UYVY = 112, - //CV_YUV2RGBA_VYUY = 113, - //CV_YUV2BGRA_VYUY = 114, - CV_YUV2RGBA_Y422 = CV_YUV2RGBA_UYVY, - CV_YUV2BGRA_Y422 = CV_YUV2BGRA_UYVY, - CV_YUV2RGBA_UYNV = CV_YUV2RGBA_UYVY, - CV_YUV2BGRA_UYNV = CV_YUV2BGRA_UYVY, - - CV_YUV2RGB_YUY2 = 115, - CV_YUV2BGR_YUY2 = 116, - CV_YUV2RGB_YVYU = 117, - CV_YUV2BGR_YVYU = 118, - CV_YUV2RGB_YUYV = CV_YUV2RGB_YUY2, - CV_YUV2BGR_YUYV = CV_YUV2BGR_YUY2, - CV_YUV2RGB_YUNV = CV_YUV2RGB_YUY2, - CV_YUV2BGR_YUNV = CV_YUV2BGR_YUY2, - - CV_YUV2RGBA_YUY2 = 119, - CV_YUV2BGRA_YUY2 = 120, - CV_YUV2RGBA_YVYU = 121, - CV_YUV2BGRA_YVYU = 122, - CV_YUV2RGBA_YUYV = CV_YUV2RGBA_YUY2, - CV_YUV2BGRA_YUYV = CV_YUV2BGRA_YUY2, - CV_YUV2RGBA_YUNV = CV_YUV2RGBA_YUY2, - CV_YUV2BGRA_YUNV = CV_YUV2BGRA_YUY2, - - CV_YUV2GRAY_UYVY = 123, - CV_YUV2GRAY_YUY2 = 124, - //CV_YUV2GRAY_VYUY = CV_YUV2GRAY_UYVY, - CV_YUV2GRAY_Y422 = CV_YUV2GRAY_UYVY, - CV_YUV2GRAY_UYNV = CV_YUV2GRAY_UYVY, - CV_YUV2GRAY_YVYU = CV_YUV2GRAY_YUY2, - CV_YUV2GRAY_YUYV = CV_YUV2GRAY_YUY2, - CV_YUV2GRAY_YUNV = CV_YUV2GRAY_YUY2, - - // alpha premultiplication - CV_RGBA2mRGBA = 125, - CV_mRGBA2RGBA = 126, - - CV_RGB2YUV_I420 = 127, - CV_BGR2YUV_I420 = 128, - CV_RGB2YUV_IYUV = CV_RGB2YUV_I420, - CV_BGR2YUV_IYUV = CV_BGR2YUV_I420, - - CV_RGBA2YUV_I420 = 129, - CV_BGRA2YUV_I420 = 130, - CV_RGBA2YUV_IYUV = CV_RGBA2YUV_I420, - CV_BGRA2YUV_IYUV = CV_BGRA2YUV_I420, - CV_RGB2YUV_YV12 = 131, - CV_BGR2YUV_YV12 = 132, - CV_RGBA2YUV_YV12 = 133, - CV_BGRA2YUV_YV12 = 134, - - CV_COLORCVT_MAX = 135 -}; - - -/* Sub-pixel interpolation methods */ -enum -{ - CV_INTER_NN =0, - CV_INTER_LINEAR =1, - CV_INTER_CUBIC =2, - CV_INTER_AREA =3, - CV_INTER_LANCZOS4 =4 -}; - -/* ... and other image warping flags */ -enum -{ - CV_WARP_FILL_OUTLIERS =8, - CV_WARP_INVERSE_MAP =16 -}; - -/* Shapes of a structuring element for morphological operations */ -enum -{ - CV_SHAPE_RECT =0, - CV_SHAPE_CROSS =1, - CV_SHAPE_ELLIPSE =2, - CV_SHAPE_CUSTOM =100 -}; - -/* Morphological operations */ -enum -{ - CV_MOP_ERODE =0, - CV_MOP_DILATE =1, - CV_MOP_OPEN =2, - CV_MOP_CLOSE =3, - CV_MOP_GRADIENT =4, - CV_MOP_TOPHAT =5, - CV_MOP_BLACKHAT =6 -}; - -/* Spatial and central moments */ -typedef struct CvMoments -{ - double m00, m10, m01, m20, m11, m02, m30, m21, m12, m03; /* spatial moments */ - double mu20, mu11, mu02, mu30, mu21, mu12, mu03; /* central moments */ - double inv_sqrt_m00; /* m00 != 0 ? 1/sqrt(m00) : 0 */ -} -CvMoments; - -/* Hu invariants */ -typedef struct CvHuMoments -{ - double hu1, hu2, hu3, hu4, hu5, hu6, hu7; /* Hu invariants */ -} -CvHuMoments; - -/* Template matching methods */ -enum -{ - CV_TM_SQDIFF =0, - CV_TM_SQDIFF_NORMED =1, - CV_TM_CCORR =2, - CV_TM_CCORR_NORMED =3, - CV_TM_CCOEFF =4, - CV_TM_CCOEFF_NORMED =5 -}; - -typedef float (CV_CDECL * CvDistanceFunction)( const float* a, const float* b, void* user_param ); - -/* Contour retrieval modes */ -enum -{ - CV_RETR_EXTERNAL=0, - CV_RETR_LIST=1, - CV_RETR_CCOMP=2, - CV_RETR_TREE=3, - CV_RETR_FLOODFILL=4 -}; - -/* Contour approximation methods */ -enum -{ - CV_CHAIN_CODE=0, - CV_CHAIN_APPROX_NONE=1, - CV_CHAIN_APPROX_SIMPLE=2, - CV_CHAIN_APPROX_TC89_L1=3, - CV_CHAIN_APPROX_TC89_KCOS=4, - CV_LINK_RUNS=5 -}; - -/* -Internal structure that is used for sequental retrieving contours from the image. -It supports both hierarchical and plane variants of Suzuki algorithm. -*/ -typedef struct _CvContourScanner* CvContourScanner; - -/* Freeman chain reader state */ -typedef struct CvChainPtReader -{ - CV_SEQ_READER_FIELDS() - char code; - CvPoint pt; - schar deltas[8][2]; -} -CvChainPtReader; - -/* initializes 8-element array for fast access to 3x3 neighborhood of a pixel */ -#define CV_INIT_3X3_DELTAS( deltas, step, nch ) \ - ((deltas)[0] = (nch), (deltas)[1] = -(step) + (nch), \ - (deltas)[2] = -(step), (deltas)[3] = -(step) - (nch), \ - (deltas)[4] = -(nch), (deltas)[5] = (step) - (nch), \ - (deltas)[6] = (step), (deltas)[7] = (step) + (nch)) - - -/****************************************************************************************\ -* Planar subdivisions * -\****************************************************************************************/ - -typedef size_t CvSubdiv2DEdge; - -#define CV_QUADEDGE2D_FIELDS() \ - int flags; \ - struct CvSubdiv2DPoint* pt[4]; \ - CvSubdiv2DEdge next[4]; - -#define CV_SUBDIV2D_POINT_FIELDS()\ - int flags; \ - CvSubdiv2DEdge first; \ - CvPoint2D32f pt; \ - int id; - -#define CV_SUBDIV2D_VIRTUAL_POINT_FLAG (1 << 30) - -typedef struct CvQuadEdge2D -{ - CV_QUADEDGE2D_FIELDS() -} -CvQuadEdge2D; - -typedef struct CvSubdiv2DPoint -{ - CV_SUBDIV2D_POINT_FIELDS() -} -CvSubdiv2DPoint; - -#define CV_SUBDIV2D_FIELDS() \ - CV_GRAPH_FIELDS() \ - int quad_edges; \ - int is_geometry_valid; \ - CvSubdiv2DEdge recent_edge; \ - CvPoint2D32f topleft; \ - CvPoint2D32f bottomright; - -typedef struct CvSubdiv2D -{ - CV_SUBDIV2D_FIELDS() -} -CvSubdiv2D; - - -typedef enum CvSubdiv2DPointLocation -{ - CV_PTLOC_ERROR = -2, - CV_PTLOC_OUTSIDE_RECT = -1, - CV_PTLOC_INSIDE = 0, - CV_PTLOC_VERTEX = 1, - CV_PTLOC_ON_EDGE = 2 -} -CvSubdiv2DPointLocation; - -typedef enum CvNextEdgeType -{ - CV_NEXT_AROUND_ORG = 0x00, - CV_NEXT_AROUND_DST = 0x22, - CV_PREV_AROUND_ORG = 0x11, - CV_PREV_AROUND_DST = 0x33, - CV_NEXT_AROUND_LEFT = 0x13, - CV_NEXT_AROUND_RIGHT = 0x31, - CV_PREV_AROUND_LEFT = 0x20, - CV_PREV_AROUND_RIGHT = 0x02 -} -CvNextEdgeType; - -/* get the next edge with the same origin point (counterwise) */ -#define CV_SUBDIV2D_NEXT_EDGE( edge ) (((CvQuadEdge2D*)((edge) & ~3))->next[(edge)&3]) - - -/* Contour approximation algorithms */ -enum -{ - CV_POLY_APPROX_DP = 0 -}; - -/* Shape matching methods */ -enum -{ - CV_CONTOURS_MATCH_I1 =1, - CV_CONTOURS_MATCH_I2 =2, - CV_CONTOURS_MATCH_I3 =3 -}; - -/* Shape orientation */ -enum -{ - CV_CLOCKWISE =1, - CV_COUNTER_CLOCKWISE =2 -}; - - -/* Convexity defect */ -typedef struct CvConvexityDefect -{ - CvPoint* start; /* point of the contour where the defect begins */ - CvPoint* end; /* point of the contour where the defect ends */ - CvPoint* depth_point; /* the farthest from the convex hull point within the defect */ - float depth; /* distance between the farthest point and the convex hull */ -} CvConvexityDefect; - - -/* Histogram comparison methods */ -enum -{ - CV_COMP_CORREL =0, - CV_COMP_CHISQR =1, - CV_COMP_INTERSECT =2, - CV_COMP_BHATTACHARYYA =3, - CV_COMP_HELLINGER =CV_COMP_BHATTACHARYYA -}; - -/* Mask size for distance transform */ -enum -{ - CV_DIST_MASK_3 =3, - CV_DIST_MASK_5 =5, - CV_DIST_MASK_PRECISE =0 -}; - -/* Content of output label array: connected components or pixels */ -enum -{ - CV_DIST_LABEL_CCOMP = 0, - CV_DIST_LABEL_PIXEL = 1 -}; - -/* Distance types for Distance Transform and M-estimators */ -enum -{ - CV_DIST_USER =-1, /* User defined distance */ - CV_DIST_L1 =1, /* distance = |x1-x2| + |y1-y2| */ - CV_DIST_L2 =2, /* the simple euclidean distance */ - CV_DIST_C =3, /* distance = max(|x1-x2|,|y1-y2|) */ - CV_DIST_L12 =4, /* L1-L2 metric: distance = 2(sqrt(1+x*x/2) - 1)) */ - CV_DIST_FAIR =5, /* distance = c^2(|x|/c-log(1+|x|/c)), c = 1.3998 */ - CV_DIST_WELSCH =6, /* distance = c^2/2(1-exp(-(x/c)^2)), c = 2.9846 */ - CV_DIST_HUBER =7 /* distance = |x| threshold ? max_value : 0 */ - CV_THRESH_BINARY_INV =1, /* value = value > threshold ? 0 : max_value */ - CV_THRESH_TRUNC =2, /* value = value > threshold ? threshold : value */ - CV_THRESH_TOZERO =3, /* value = value > threshold ? value : 0 */ - CV_THRESH_TOZERO_INV =4, /* value = value > threshold ? 0 : value */ - CV_THRESH_MASK =7, - CV_THRESH_OTSU =8 /* use Otsu algorithm to choose the optimal threshold value; - combine the flag with one of the above CV_THRESH_* values */ -}; - -/* Adaptive threshold methods */ -enum -{ - CV_ADAPTIVE_THRESH_MEAN_C =0, - CV_ADAPTIVE_THRESH_GAUSSIAN_C =1 -}; - -/* FloodFill flags */ -enum -{ - CV_FLOODFILL_FIXED_RANGE =(1 << 16), - CV_FLOODFILL_MASK_ONLY =(1 << 17) -}; - - -/* Canny edge detector flags */ -enum -{ - CV_CANNY_L2_GRADIENT =(1 << 31) -}; - -/* Variants of a Hough transform */ -enum -{ - CV_HOUGH_STANDARD =0, - CV_HOUGH_PROBABILISTIC =1, - CV_HOUGH_MULTI_SCALE =2, - CV_HOUGH_GRADIENT =3 -}; - - -/* Fast search data structures */ -struct CvFeatureTree; -struct CvLSH; -struct CvLSHOperations; - -#ifdef __cplusplus -} -#endif - -#endif diff --git a/selfdrive/camerad/SConscript b/selfdrive/camerad/SConscript index 18754ca811..7a81b76c8d 100644 --- a/selfdrive/camerad/SConscript +++ b/selfdrive/camerad/SConscript @@ -24,8 +24,8 @@ else: env.Append(CFLAGS = '-DWEBCAM') env.Append(CPPPATH = '/usr/local/include/opencv4') else: - libs += [] cameras = ['cameras/camera_frame_stream.cc'] + if arch == "Darwin": del libs[libs.index('OpenCL')] env = env.Clone()