Examples_001_Classifying ImageNet: using the C++ API

A simple C++ code is proposed in examples/cpp_classification/classification.cpp.

The classification example will be built as examples/classification.bin in your build directory.

In my case, caffe/build/examples/cpp_classification/

go to script folder, run python script to download the model to bvlc_reference_caffenet

~/caffe/scripts$ ./download_model_binary.py ../models/bvlc_reference_caffenet/

(

You may need to install python-yaml,

sudo apt-get install python-yaml
sudo apt-get install libyaml-dev

)

got o ~/caffe/data/ilsvrc12

run ./get_ilsvrc_aux.sh , to obtain ImageNet labels file

classify the cat image (examples/iamges/cat.jpg) using this command:

./build/examples/cpp_classification/classification.bin \

models/bvlc_reference_caffenet/deploy.prototxt \

models/bvlc_reference_caffenet/bvlc_reference_caffenet.caffemodel \

data/ilsvrc12/imagenet_mean.binaryproto \

data/ilsvrc12/synset_words.txt \

examples/images/cat.jpg