Please correct me if I’m wrong: there’s no need to do the mandatory normalization (“The images have to be loaded in to a range of [0, 1] and then normalized using mean=[0.485, 0.456, 0.406] and std=[0.229, 0.224, 0.225]” since it’s already included in the model (as long as transform_input is set to True: https://github.com/pytorch/vision/blob/c1746a252372dc62a73766a5772466690fc1b8a6/torchvision/models/inception.py#L72-L76).