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@ -87,8 +87,8 @@ class SbbBinarizer:
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predicted_patches = model.predict(image_patches, verbose=0)
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# We have to manually call garbage collection and clear_session here to avoid memory leaks.
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# Taken from https://medium.com/dive-into-ml-ai/dealing-with-memory-leak-issue-in-keras-model-training-e703907a6501
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#gc.collect()
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#tf.keras.backend.clear_session()
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gc.collect()
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tf.keras.backend.clear_session()
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# The result is a white-on-black image that needs to be inverted to be displayed as black-on-white image
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# We do this by converting the binary values to a boolean numpy-array and then inverting the values
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