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