vmirly1:

Another thing to consider, it might be that the two pre-trained models need certain input normalization, for example, the range of pixel values be within [0,1] or [-1,1] instead of [0, 255].


Thanks for your quick reply! With regards to what you said above, is it possible that the normalization that you have to apply would have to be different for each implementation (TF and PyTorch) even though they are implementing the same version of the same model (SqueezeNet 1.1 in this case)?