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# Downloading the data and model
mkdir -p model
wget -nc -O model/Inception-BN-symbol.json \
    http://data.mxnet.io/mxnet/models/imagenet/inception-bn/Inception-BN-symbol.json
wget -nc -O model/synset.txt \
    http://data.mxnet.io/mxnet/models/imagenet/synset.txt
wget -nc -O model/Inception-BN-0126.params \
    http://data.mxnet.io/mxnet/models/imagenet/inception-bn/Inception-BN-0126.params?raw=true 
wget -nc -O cat.jpg https://github.com/dmlc/web-data/blob/master/mxnet/doc/tutorials/python/predict_image/cat.jpg?raw=true
wget -nc -O dog.jpg https://github.com/dmlc/web-data/blob/master/mxnet/doc/tutorials/python/predict_image/dog.jpg?raw=true
wget -nc -O model/mean_224.nd https://github.com/dmlc/web-data/raw/master/mxnet/example/feature_extract/mean_224.nd
tar -xvzf inception-bn.tar.gz -C model --skip-old-files

# Building
make

# Preparing the data
./prepare_data_with_opencv

# Running the featurization
LD_LIBRARY_PATH=../../../lib ./feature_extract