tests/dataset/test_dataset_airogs_prep.py

from medical_diffusion.data.datasets import SimpleDataset2D, AIROGSDataset

import torch.nn.functional as F 

import matplotlib.pyplot as plt 
from pathlib import Path 
from torchvision.utils import save_image


path_out = Path('/mnt/hdd/datasets/eye/AIROGS/data_256x256/')
path_out.mkdir(parents=True, exist_ok=True)

ds = AIROGSDataset(
    crawler_ext='jpg',
    image_resize=256,
    image_crop=(256, 256),
    path_root='/mnt/hdd/datasets/eye/AIROGS/data/', # '/home/gustav/Documents/datasets/AIROGS/dataset', '/mnt/hdd/datasets/eye/AIROGS/data/'
)

weights = ds.get_weights()

for img in ds:
    img['source'].save(path_out/f"{img['uid']}.jpg")