| #!/usr/bin/env python3 |
| # -*- coding: utf-8 -*- |
| |
| # Licensed to the Apache Software Foundation (ASF) under one |
| # or more contributor license agreements. See the NOTICE file |
| # distributed with this work for additional information |
| # regarding copyright ownership. The ASF licenses this file |
| # to you under the Apache License, Version 2.0 (the |
| # "License"); you may not use this file except in compliance |
| # with the License. You may obtain a copy of the License at |
| # |
| # http://www.apache.org/licenses/LICENSE-2.0 |
| # |
| # Unless required by applicable law or agreed to in writing, |
| # software distributed under the License is distributed on an |
| # "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY |
| # KIND, either express or implied. See the License for the |
| # specific language governing permissions and limitations |
| # under the License. |
| |
| tmp_dir = "./model_data/" |
| dload_models = [] |
| |
| # Keras : Resnet50 |
| try: |
| from tensorflow.keras.applications.resnet50 import ResNet50 |
| |
| model_file_name = "{}/{}".format(tmp_dir + "keras-resnet50", "resnet50.h5") |
| model = ResNet50(include_top=True, weights="imagenet", input_shape=(224, 224, 3), classes=1000) |
| model.save(model_file_name) |
| dload_models.append(model_file_name) |
| except ImportError: |
| LOG.warning("Keras is not installed, skipping Keras models") |
| |
| |
| print("Models:", dload_models) |
