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from medical_diffusion.data.datasets import SimpleDataset2D | |
import matplotlib.pyplot as plt | |
from pathlib import Path | |
from torchvision.utils import save_image | |
path_out = Path().cwd()/'results'/'test' | |
path_out.mkdir(parents=True, exist_ok=True) | |
# ds = SimpleDataset2D( | |
# crawler_ext='jpg', | |
# image_resize=(352, 528), | |
# image_crop=(192, 288), | |
# path_root='/home/gustav/Documents/datasets/AIROGS/dataset', | |
# ) | |
ds = SimpleDataset2D( | |
crawler_ext='tif', | |
image_resize=None, | |
image_crop=None, | |
path_root='/home/gustav/Documents/datasets/BREAST-DIAGNOSIS/dataset_lr2d/' | |
) | |
images = [ds[n]['source'] for n in range(4)] | |
save_image(images, path_out/'test.png') |