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import jovian
from fastai.vision import *
from pathlib import Path
!ls
data 'Google Images Downloader -- Fastai.ipynb' Untitled2.ipynb downloads 'GoogleImagesDownload --Original.ipynb' Untitled.ipynb env image_downloader
np.random.seed(42)
data = ImageDataBunch.from_folder(Path("data/train"), train=".", test="../test", valid_pct=0.2, bs=4,
                                  ds_tfms=get_transforms(), size=224, num_workers=4).normalize(imagenet_stats)
data.train_ds[0]
(Image (3, 224, 224), Category food)
data.show_batch(rows=2, figsize=(7, 8))
<Figure size 504x576 with 4 Axes>