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#!/usr/bin/env python3 |
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# Question: Can a human drive from this data? |
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import cv2 |
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import numpy as np |
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import cereal.messaging as messaging |
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from common.window import Window |
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from common.transformations.model import MEDMODEL_INPUT_SIZE |
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from common.transformations.camera import FULL_FRAME_SIZE, eon_intrinsics |
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from common.transformations.model import get_camera_frame_from_medmodel_frame |
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from tools.replay.lib.ui_helpers import CalibrationTransformsForWarpMatrix |
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if __name__ == "__main__": |
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sm = messaging.SubMaster(['liveCalibration']) |
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frame = messaging.sub_sock('frame', conflate=True) |
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win = Window(MEDMODEL_INPUT_SIZE[0], MEDMODEL_INPUT_SIZE[1], double=True) |
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calibration = None |
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while 1: |
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fpkt = messaging.recv_one(frame) |
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if len(fpkt.frame.image) == 0: |
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continue |
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sm.update(timeout=1) |
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rgb_img_raw = fpkt.frame.image |
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imgff = np.frombuffer(rgb_img_raw, dtype=np.uint8).reshape((FULL_FRAME_SIZE[1], FULL_FRAME_SIZE[0], 3)) |
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imgff = imgff[:, :, ::-1] # Convert BGR to RGB |
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if sm.updated['liveCalibration']: |
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intrinsic_matrix = eon_intrinsics |
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img_transform = np.array(fpkt.frame.transform).reshape(3,3) |
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extrinsic_matrix = np.asarray(sm['liveCalibration'].extrinsicMatrix).reshape(3, 4) |
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ke = intrinsic_matrix.dot(extrinsic_matrix) |
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warp_matrix = get_camera_frame_from_medmodel_frame(ke) |
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calibration = CalibrationTransformsForWarpMatrix(warp_matrix, intrinsic_matrix, extrinsic_matrix) |
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transform = np.dot(img_transform, calibration.model_to_full_frame) |
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if calibration is not None: |
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imgw = cv2.warpAffine(imgff, transform[:2], |
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(MEDMODEL_INPUT_SIZE[0], MEDMODEL_INPUT_SIZE[1]), |
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flags=cv2.WARP_INVERSE_MAP | cv2.INTER_CUBIC) |
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win.draw(imgw) |
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