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The test code certainly does, since at test time one does not know about (or assume) the presence of objects in the image. The code should also properly handle training images that do not contain any ground truth positive examples, though I haven't tested this case explicitly.
Does this code handle datasets (train or test) in which some of the images have no object of interest in them?
If not, do you have any pointers as to what would need to be modified in order to allow for that?
Thanks in advance for your help!
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