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Hi, I think you are right, the code is not doing what is intended there.
The purpose of that snippet was to change the randomly sampled non match if
it is too close to the true match. In the end it will not matter too much
since it is a low probability event to randomly sample the true match (1
out of 307,200). I can look more at it later and see if it makes a
difference to fix it. Thanks!
I have found that the following code may be not right.
pytorch-dense-correspondence/dense_correspondence/correspondence_tools/correspondence_finder.py
Line 269 in c3b068a
Should it be "ones = torch.ones_like (diffs_0_flattened)" ? And I also interesting in why using line 277 ~280 to generate random_vector ?
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