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calibration  #24

@ningerlove

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@ningerlove
def calibration(extrinsic_matrix, cam_intrinsics, device_frame_from_road_frame=None):
    if device_frame_from_road_frame is None:
        device_frame_from_road_frame = np.hstack((np.diag([1, -1, -1]), [[0], [0], [1.51]]))
    med_frame_from_ground = medmodel_intrinsics@view_frame_from_device_frame@device_frame_from_road_frame[:,(0,1,3)]
    ground_from_med_frame  = np.linalg.inv(med_frame_from_ground)


    extrinsic_matrix_eigen = extrinsic_matrix[:3]
    camera_frame_from_road_frame = np.dot(cam_intrinsics, extrinsic_matrix_eigen)
    camera_frame_from_ground = np.zeros((3,3))
    camera_frame_from_ground[:,0] =  camera_frame_from_road_frame[:,0]
    camera_frame_from_ground[:,1] =  camera_frame_from_road_frame[:,1]
    camera_frame_from_ground[:,2] =  camera_frame_from_road_frame[:,3]
    warp_matrix = np.dot(camera_frame_from_ground, ground_from_med_frame)

    return warp_matrix

这个函数能讲解下吗? 我大概明白这是相机到虚拟相机的转换矩阵计算

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