Comments (2)
Hello JinhaSong,
Did you specify the input image to be 299x299? I think the minimum should be 150x150 but I am not sure on that to be honest.
For reference, I have imported the Inception-ResNet-V2 implementation from Cadene's repository here:
https://github.com/Cadene/pretrained-models.pytorch/blob/master/pretrainedmodels/models/inceptionresnetv2.py
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Hi JinhaSong,
I had similar issue and I managed to fix it by setting AvgPool2d kernel_size to 5. Since the
VGGFace2 images are smaller the current network at that layer ends up with tensor 1536x5x5 instead of 1536x8x8.
Applying pooling with kernel_size 8 which is larger that what is provided by the previous layer causes this issue. Hope that helps !
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