I tried to implement it as closely to MATLAB code as possible but it seems I can’t train the model.
- Firstly, original code has a bilinear sampler, I looked into the code and Pytorch’s
F.grid_samplelooked like had what it was trying to implement, but seems there are differences, cause the pytorch model is generating garbage.
- Moreover MATLAB uses
[0..255]range for its input image, unlike
[0..1]for Pytorch, which range should be used for weights converted from matlab to pytorch.
- The original code sets some weights manually but when I do the same for pytorch, it’s training behaviour is different than MATLAB’s.
- What are part of the code should I look for differences, since I’m not well versed in MATLAB.
I appreciate anyone taking the time to look into it and giving some pointer so that can I can implement it correctly. Thanks in advance.