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""" 18from __future__ import absolute_import 19from __future__ import division 20from __future__ import print_function 21 22from keras_applications import densenet 23 24from tensorflow.python.keras.applications import keras_modules_injection 25from 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 31def 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 38def 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 45def DenseNet201(*args, **kwargs): 46 return densenet.DenseNet201(*args, **kwargs) 47 48 49@keras_export('keras.applications.densenet.decode_predictions') 50@keras_modules_injection 51def 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 57def preprocess_input(*args, **kwargs): 58 return densenet.preprocess_input(*args, **kwargs) 59