Back to Mxnet

README

cpp-package/example/feature_extract/README.md

1.9.11.3 KB
Original Source
<!-- ~ 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. ~ -->

This example shows how to extract features with a pretrained model.

Execute run.sh to:

  • Download a pretrained model
  • Download sample pictures (dog.jpg and cat.jpg)
  • Compile the files
  • Execute the featurization on dog.jpg and cat.jpg

Note:

  1. The filename of network parameters may vary, line 67 in feature_extract.cpp should be updated accordingly.
  2. You need to build MXNet from source to get access to the lib/libmxnet.so or point LD_LIBRARY_PATH to where it is installed in your system