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* Compute triangulated data with pose_estimation_pytorch * Make correct MultiIndex with unique bodyparts * adapt to DataFrame.to_hdf() changes
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thanks so much for your contribution! This is super helpful! |
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Thanks @Zelin2001, this looks great! Just suggested a few changes, let me know if you want to discuss anything.
One the changes are made this looks good to me :)
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Thank you a lot for the advice @n-poulsen . I've learned more about deeplabcut from these changes. |
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Looks good to me! Thanks @Zelin2001!
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Rationality
I proceeded with my project, and then found the triangulate() function dependent on TensorFlow modules. Further debugging revealed more problems relating to the 'single' individual, who has a different bodypart dimension from common individuals.
Finally, I made minor changes to make triangulation work on my dataset. These changes might also help with other 3D MA users.
Changes
Compute triangulated data with pose_estimation_pytorch
Make correct MultiIndex with unique bodyparts
adapt to DataFrame.to_hdf() changes