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Hello.!
I'm wondering why are the relative poses in pose_train.py and pose_sequence_folder.py and pose_test.py are inconsistent.
For example, exp_pose ,pose_rel , and pose_rel _pd.
exp_pose = torch.matmul(inv(pose[:, j]), noise_pose[:, j]) in pose_train.py
pose_rel = pose_src @ np.linalg.inv(pose_tgt) in pose_sequence_folder.py
pose_rel_pd = pose_src_pd @ np.linalg.inv(pose_tgt_pd) in pose_sequence_folder.py
p_rel_pose[:, j] = torch.matmul(noise_pose[:, j], inv(p_matrix)) in pose_test.py
I think the matrix multiplication to find out relative poses are should be inv(camera_1_pose) X (camera_2_pose).
But Why the multiplication's order is not consistent?
Please answer it. Thanks. :)
The text was updated successfully, but these errors were encountered:
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Hello.!
I'm wondering why are the relative poses in pose_train.py and pose_sequence_folder.py and pose_test.py are inconsistent.
For example, exp_pose ,pose_rel , and pose_rel _pd.
exp_pose = torch.matmul(inv(pose[:, j]), noise_pose[:, j]) in pose_train.py
pose_rel = pose_src @ np.linalg.inv(pose_tgt) in pose_sequence_folder.py
pose_rel_pd = pose_src_pd @ np.linalg.inv(pose_tgt_pd) in pose_sequence_folder.py
p_rel_pose[:, j] = torch.matmul(noise_pose[:, j], inv(p_matrix)) in pose_test.py
I think the matrix multiplication to find out relative poses are should be inv(camera_1_pose) X (camera_2_pose).
But Why the multiplication's order is not consistent?
Please answer it. Thanks. :)
The text was updated successfully, but these errors were encountered: