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dlr/predict: let's try another way
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1 changed files with 3 additions and 5 deletions
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@ -246,14 +246,12 @@ def get_overlay(image, coloured_mask):
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def plot_samples_matplotlib(filepath, display_list, figsize=(5, 3)):
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def plot_samples_matplotlib(filepath, display_list, figsize=(5, 3)):
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_, axes = plt.subplots(nrows=1, ncols=len(display_list), figsize=figsize)
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if not isinstance(axes, list):
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axes = [ axes ]
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for i in range(len(display_list)):
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for i in range(len(display_list)):
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plt.subplot(nrows=1, ncols=len(display_list), index=i)
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if display_list[i].shape[-1] == 3:
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if display_list[i].shape[-1] == 3:
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axes[i].imshow(tf.keras.preprocessing.image.array_to_img(display_list[i]))
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plt.imshow(tf.keras.preprocessing.image.array_to_img(display_list[i]))
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else:
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else:
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axes[i].imshow(display_list[i])
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plt.imshow(display_list[i])
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plt.savefig(filepath)
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plt.savefig(filepath)
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