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

It uses opencv for image reading

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
  BufferFile json_data("model/Inception/Inception_BN-symbol.json");
  BufferFile param_data("model/Inception/Inception_BN-0039.params");

2. Edit synset file path if you have it:

  // Synset path for your model, you have to modify it
  std::vector<std::string> synset = LoadSynset("model/Inception/synset.txt");

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

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

4. Simply just use our Makefile to build:

make

• Run:

  ./image-classification-predict apple.jpg

The only parameter is the path of the test image.

• The model used in the sample can be downloaded here: http://pan.baidu.com/s/1sjXKrqX

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

• Xiao Liu

• E-mail: liuxiao@foxmail.com

• Homepage: www.liuxiao.org

• pertusa (for Makefile and image reading check)

• caprice-j (for reading function)

• sofiawu (for sample model)

• piiswrong and tqchen (for useful coding suggestions)