Ported from tensorflow implementation of STN can be found at bilinear_pytorch.py.
Usage can be found at bilinear.py. Thanks to @scholltan for the code.
Pytorch implimentation of STN bilinear sampler
Ported from tensorflow implementation of STN can be found at bilinear_pytorch.py.
Usage can be found at bilinear.py. Thanks to @scholltan for the code.
Hi!
Thank you for the code. There is one small correction at the end of the '_interpolate' function - transformed image should be of the same shape as the input image (with the same number of channels), therefore the last lines in the function should be
im_flat = im.contiguous().view(-1, _num_channels)
pix_l = torch.gather(im_flat, 0, idx_l.repeat(_num_channels).view(-1, _num_channels))
pix_r = torch.gather(im_flat, 0, idx_r.repeat(_num_channels).view(-1, _num_channels))
to get the correct transformed image and the rest is the same.
hi,did you try the new function grid_sample in pytorch to implement the same effect?
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