Facial-Similarity-with-Siamese-Networks-in-Pytorch

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Thanks for putting this up for others to look at.

I noticed in the dataset code that if the random.randint(0,1) ends up being 0, the code that runs is img1_tuple = random.choice(self.imageFolderDataset.imgs). This can (though low probability) choose a img from the same folder. This would mis-label the img pairs as not being the same, but indeed they are.

Didn't you see the code below? if img0_tuple[1] !=img1_tuple[1]: break