def nerf_matrix_to_ngp(pose, scale=0.33, offset=[0, 0, 0]): new_pose = np.array([ [pose[1, 0], -pose[1, 1], -pose[1, 2], pose[1, 3] * scale + offset[0]], [pose[2, 0], -pose[2, 1], -pose[2, 2], pose[2, 3] * scale + offset[1]], [pose[0, 0], -pose[0, 1], -pose[0, 2], pose[0, 3] * scale + offset[2]], [0, 0, 0, 1], ], dtype=np.float32) return new_pose。What is the purpose of the above operation in Instant-Ngp, and how to adjust it accordingly based on the camera pose of your own dataset

[wuzuyin]

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