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Hi, thanks for your great project! I have a question on the pose conversion in provider. Your function nerf_matrix_to_ngp seems transpose [x,y,z] as [y,z,x], which is not applied in https://github.com/NVlabs/instant-ngp/blob/b76004c8cf478880227401ae763be4c02f80b62f/include/neural-graphics-primitives/nerf_loader.h#L50. I wonder the reason of this.
` def nerf_matrix_to_ngp(pose, scale=0.33, offset=[0, 0, 0]):
# for the fox dataset, 0.33 scales camera radius to ~ 2 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
`
The text was updated successfully, but these errors were encountered:
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Hi, thanks for your great project! I have a question on the pose conversion in provider. Your function nerf_matrix_to_ngp seems transpose [x,y,z] as [y,z,x], which is not applied in https://github.com/NVlabs/instant-ngp/blob/b76004c8cf478880227401ae763be4c02f80b62f/include/neural-graphics-primitives/nerf_loader.h#L50. I wonder the reason of this.
`
def nerf_matrix_to_ngp(pose, scale=0.33, offset=[0, 0, 0]):
`
The text was updated successfully, but these errors were encountered: