2021-08-16 00:53:00 +00:00
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import matplotlib.pyplot as plt
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def plot_img_and_mask(img, mask):
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classes = mask.shape[0] if len(mask.shape) > 2 else 1
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fig, ax = plt.subplots(1, classes + 1)
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ax[0].set_title('Input image')
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ax[0].imshow(img)
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if classes > 1:
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for i in range(classes):
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ax[i + 1].set_title(f'Output mask (class {i + 1})')
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ax[i + 1].imshow(mask[:, :, i])
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else:
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ax[1].set_title(f'Output mask')
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ax[1].imshow(mask)
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plt.xticks([]), plt.yticks([])
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plt.show()
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