Image Classification Example of C++

This is a simple predictor which shows how to use c api for image classfication.

It uses opencv for image reading

How to Use

Build

1. Edit image-classification-predict.cc file, change the following lines to your model paths:

  // Models path for your model, you have to modify it
  std::string json_file = "model/Inception/Inception-BN-symbol.json";
  std::string param_file = "model/Inception/Inception-BN-0126.params";
  std::string synset_file = "model/Inception/synset.txt";
  std::string nd_file = "model/Inception/mean_224.nd";

2. You may also want to change the image size and channels:

  // Image size and channels
  int width = 224;
  int height = 224;
  int channels = 3;

3. Simply just use our Makefile to build:

make

Usage

Run:

./image-classification-predict apple.jpg

The only parameter is the path of the test image.

Tips

• The model used in the sample can be downloaded here: http://pan.baidu.com/s/1sjXKrqX or here: http://data.mxnet.io/mxnet/models/imagenet/

• If you don't run it in the mxnet root path, maybe you will need to copy lib folder here.

Author

• Xiao Liu

• E-mail: liuxiao@foxmail.com

• Homepage: www.liuxiao.org

Thanks

• pertusa (for Makefile and image reading check)

• caprice-j (for reading function)

• sofiawu (for sample model)

• piiswrong and tqchen (for useful coding suggestions)