24 lines
530 B
Python
24 lines
530 B
Python
from torchvision.transforms import Compose
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import matplotlib.pyplot as plt
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from numpy import transpose
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import torchvision.datasets as datasets
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from torchvision import models
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from PIL import Image
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print(dir(datasets))
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def show_image(x):
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fig = plt.figure(figsize=(10, 10))
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for s in range(len(x)):
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img = x[s].numpy()
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img = transpose(img, (1, 2, 0))
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ax1 = fig.add_subplot(1, len(x), s + 1)
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plt.axis('off')
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plt.imshow(img)
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model = models.inception_v3(pretrained=True)
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print(model)
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