Course project - Language as the adversary for CLIP
Use meta files in data/ folder for get_cifar_classes() function (both cifar10 and cifar100).
Set the data in the directory and set it accordingly when using the code here. You can set download to TRUE for the first time to download the data using pytorch. The data will be in root folder inside data/ folder.
testset = torchvision.datasets.CIFAR10(root='/home/jameel.hassan/Documents/AI701/data/cifar10', train=False, download=False, transform=preprocess
testloader = torch.utils.data.DataLoader(dataset=testset, batch_size=batch_size, shuffle=False, num_workers=2)
To get CLIP evaluation on CIFAR10 and CIFAR100 run eval.py
To get evaluation with text corruption set TEXT_CORRUPT=True in file. For Zero shot set it to False.