INNER CODE UNIT · Python
tuple_with_path
aangelopoulos/conformal-prediction · generation-scripts/generate-imagenet.py:24
tuple_with_path = (original_tuple + (path,))
return tuple_with_path
if __name__ == "__main__":
with torch.no_grad():
# Transform as in https://github.com/pytorch/examples/blob/42e5b996718797e45c46a25c55b031e6768f8440/imagenet/main.py#L92
transform = torchvision.transforms.Compose([
torchvision.transforms.Resize(256),
torchvision.transforms.CenterCrop(224),
torchvision.transforms.ToTensor(),
torchvision.transforms.Normalize(mean=[0.485, 0.456, 0.406],
std= [0.229, 0.224, 0.225])
])
# Get the Imagenet dataset
imagenet_dataset = ImageFolderWithPaths('~/data/ilsvrc/val', transform)
# Initialize loaders