1 # Copyright 2018 The TensorFlow Authors. All Rights Reserved. 2 # 3 # Licensed under the Apache License, Version 2.0 (the "License"); 4 # you may not use this file except in compliance with the License. 5 # You may obtain a copy of the License at 6 # 7 # http://www.apache.org/licenses/LICENSE-2.0 8 # 9 # Unless required by applicable law or agreed to in writing, software 10 # distributed under the License is distributed on an "AS IS" BASIS, 11 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 12 # See the License for the specific language governing permissions and 13 # limitations under the License. 14 # ============================================================================== 15 # pylint: disable=invalid-name 16 """DenseNet models for Keras. 17 """ 18 from __future__ import absolute_import 19 from __future__ import division 20 from __future__ import print_function 21 22 from keras_applications import densenet 23 24 from tensorflow.python.keras.applications import keras_modules_injection 25 from tensorflow.python.util.tf_export import keras_export 26 27 28 @keras_export('keras.applications.densenet.DenseNet121', 29 'keras.applications.DenseNet121') 30 @keras_modules_injection 31 def DenseNet121(*args, **kwargs): 32 return densenet.DenseNet121(*args, **kwargs) 33 34 35 @keras_export('keras.applications.densenet.DenseNet169', 36 'keras.applications.DenseNet169') 37 @keras_modules_injection 38 def DenseNet169(*args, **kwargs): 39 return densenet.DenseNet169(*args, **kwargs) 40 41 42 @keras_export('keras.applications.densenet.DenseNet201', 43 'keras.applications.DenseNet201') 44 @keras_modules_injection 45 def DenseNet201(*args, **kwargs): 46 return densenet.DenseNet201(*args, **kwargs) 47 48 49 @keras_export('keras.applications.densenet.decode_predictions') 50 @keras_modules_injection 51 def decode_predictions(*args, **kwargs): 52 return densenet.decode_predictions(*args, **kwargs) 53 54 55 @keras_export('keras.applications.densenet.preprocess_input') 56 @keras_modules_injection 57 def preprocess_input(*args, **kwargs): 58 return densenet.preprocess_input(*args, **kwargs) 59