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

You can first get a pretrained model from https://github.com/dmlc/mxnet-model-gallery/blob/master/imagenet-1k-inception-bn.md, then prepare 2 pictures 1.jpg and 2.jpg to extract by executing run.sh.

Note:

1. The filename of network parameters may vary, line 67 in feature_extract.cpp should be updated accordingly.
2. As the build system has changed a lot, to build this example, you need to put the compiled library libmxnet.so in ../lib/linux.