openpilot is an open source driver assistance system. openpilot performs the functions of Automated Lane Centering and Adaptive Cruise Control for over 200 supported car makes and models.
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import numpy as np
import cv2 # pylint: disable=import-error
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def rot_matrix(roll, pitch, yaw):
cr, sr = np.cos(roll), np.sin(roll)
cp, sp = np.cos(pitch), np.sin(pitch)
cy, sy = np.cos(yaw), np.sin(yaw)
rr = np.array([[1, 0, 0], [0, cr, -sr], [0, sr, cr]])
rp = np.array([[cp, 0, sp], [0, 1, 0], [-sp, 0, cp]])
ry = np.array([[cy, -sy, 0], [sy, cy, 0], [0, 0, 1]])
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return ry.dot(rp.dot(rr))
def draw_pose(img, pose, loc, W=160, H=320, xyoffset=(0, 0), faceprob=0):
rcmat = np.zeros((3, 4))
rcmat[:, :3] = rot_matrix(*pose[0:3]) * 0.5
rcmat[0, 3] = (loc[0]+0.5) * W
rcmat[1, 3] = (loc[1]+0.5) * H
rcmat[2, 3] = 1.0
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# draw nose
p1 = np.dot(rcmat, [0, 0, 0, 1])[0:2]
p2 = np.dot(rcmat, [0, 0, 100, 1])[0:2]
tr = tuple([int(round(x + xyoffset[i])) for i, x in enumerate(p1)])
pr = tuple([int(round(x + xyoffset[i])) for i, x in enumerate(p2)])
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if faceprob > 0.4:
color = (255, 255, 0)
cv2.line(img, tr, pr, color=(255, 255, 0), thickness=3)
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else:
color = (64, 64, 64)
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cv2.circle(img, tr, 7, color=color)