qurator-spk/sbb_binarization
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cleanup

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Clemens Neudecker 2022-04-25 15:10:08 +02:00 • committed by GitHub
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commit 83c60d7b26
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1 changed files with 5 additions and 5 deletions
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sbb_binarize/sbb_binarize.py
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@ -15,8 +15,8 @@ environ['TF_CPP_MIN_LOG_LEVEL'] = '3'
stderr = sys.stderr stderr = sys.stderr
sys.stderr = open(devnull, 'w') sys.stderr = open(devnull, 'w')
import tensorflow as tf import tensorflow as tf
from tensorflow.keras.models import load_model, Model from tensorflow.keras.models import load_model
from tensorflow.python.keras import backend as K from tensorflow.python.keras import backend as tensorflow_backend
sys.stderr = stderr sys.stderr = stderr
@ -44,10 +44,10 @@ class SbbBinarizer:
config.gpu_options.allow_growth = True config.gpu_options.allow_growth = True
self.session = tf.compat.v1.Session(config=config) # tf.InteractiveSession() self.session = tf.compat.v1.Session(config=config) # tf.InteractiveSession()
K.set_session(self.session) tensorflow_backend.set_session(self.session)
def end_session(self): def end_session(self):
K.clear_session() tensorflow_backend.clear_session()
self.session.close() self.session.close()
del self.session del self.session
@ -59,7 +59,7 @@ class SbbBinarizer:
return model, model_height, model_width, n_classes return model, model_height, model_width, n_classes
def predict(self, model_in, img, use_patches): def predict(self, model_in, img, use_patches):
K.set_session(self.session) tensorflow_backend.set_session(self.session)
model, model_height, model_width, n_classes = model_in model, model_height, model_width, n_classes = model_in
img_org_h = img.shape[0] img_org_h = img.shape[0]