I see you use pytorch pretrained vgg without correctly normalizing the image (all pytorch pretrained models assume the image was normalized with transforms.Normalize(mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225]) )
Retraining with the correct normalization might give you even better results.
Not an issue per se, more like a suggestion.
I see you use pytorch pretrained vgg without correctly normalizing the image (all pytorch pretrained models assume the image was normalized with transforms.Normalize(mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225]) )
Retraining with the correct normalization might give you even better results.