Created
May 19, 2020 12:18
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Test torchvision tranforms on a bunch of images
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| from torchvision import datasets, models, transforms | |
| from PIL import Image | |
| import torch | |
| import matplotlib.pyplot as plt | |
| from pathlib import Path | |
| images = list(Path('../foo').glob('**/*.*')) | |
| example = images.pop() | |
| img = Image.open(example).convert('RGB') | |
| transform = transforms.ColorJitter(brightness=0.5, contrast=0.4, saturation=0.9, hue=0.15) | |
| plt.subplots(3, 3) | |
| ax = plt.gca() | |
| for i in range(3): | |
| for i in range(3): | |
| transformed = transform(img) | |
| ax[i, j].imshow(transformed) | |
| plt.show() |
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