training error (training on Market-1501)

[surajdonthi]

training error (training on Market-1501)

[SurajDonthi]

@toshalpatel Actually there are only 751 classes for the Market data. While parsing the data, all images are scanned to find the number of classes as well as assigning new class indexes. So the process is dynamic.

Not sure why the issue occurred. I apparently haven't faced this issue.

[toshalpatel]

You can solve it by replacing num_classes with num_classes+1
I guess there are [0, 751] classes (752 in total). I am wondering if you faced any similar issues while training @SurajDonthi

[SurajDonthi]

@toshalpatel The above error occurs because there exists an extra label -1 in the bounding_box_test data. These labels are actually left for the model to guess. Hence a comparison (loss func.) of these with the true label does not actually make sense. Currently, my code doesn't account for this. However, I'll be adding a much more robust testing function very soon.

So setting the classes to 751 is the right thing to do (which will break the current testing code and not the training code). So you can generate your model by training without validation/testing for the time being. However, if you want to test, feel free to write a function of your own for the time being.