CIFAR-10 images
You can just clone this repository to use dataset. (like for timm (pytorch-image-models))
issue #2 mentioned the artifacts by jpeg compression, therefore we present a way for generating different image file extensions.
Or you prefer to generate your own image dataset, feel free to modify torch_get_pic.py. For example, if you want to generate resized images, you can add transform to CIFAR10 dataset with torchvision.
To generate images with get_pic.sh, dependencies like torch torchvision tqdm should be satisfied.
sudo chmod +x ./get_pic.sh
./get_pic.sh <1> <2> <optional: 3>- <1>: path to your cifar-10 dataset
- <2>: image file extension: like
png(no dot) - <3>: optional: if you prefer to generate class labels in digits, then set 1 here
The script will make folders if no available output directory found.