Testing returns all cases matching with batch size one

[Sumes]

In all the case we are taking L1 distance of siamese fc outputs which leads to negative values. When taking sigmoid on this it always gives 0. eventually leading all values predicted correctly

[fangpin]

@Sumes

In all the case we are taking L1 distance of siamese fc outputs which leads to negative values. When taking sigmoid on this it always gives 0. eventually leading all values predicted correctly

What do you mean? There is no negative value since I use absolute L1 distance. See model.py

siamese-pytorch/model.py

Line 35 in cef7cec

dis = torch.abs(out1 - out2)

[Sumes]

By getting all predictions as 0 means that, even dissimilar images are also getting matched as same

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