cpp-package/example/inference/unit_test_inception_inference.sh

#!/usr/bin/env bash

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# Downloading the data and model
mkdir -p model
wget -nc http://data.mxnet.io/models/imagenet/inception-bn.tar.gz
wget -nc -O model/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


# Running the example with dog image.
if [ "$(uname)" == "Darwin" ]; then
    DYLD_LIBRARY_PATH=${DYLD_LIBRARY_PATH}:../../../lib ./inception_inference --symbol "./model/Inception-BN-symbol.json" --params "./model/Inception-BN-0126.params" --synset "./model/synset.txt" --mean "./model/mean_224.nd" --image "./model/dog.jpg" 2&> inception_inference.log
else
    LD_LIBRARY_PATH=${LD_LIBRARY_PATH}:../../../lib ./inception_inference --symbol "./model/Inception-BN-symbol.json" --params "./model/Inception-BN-0126.params" --synset "./model/synset.txt" --mean "./model/mean_224.nd" --image "./model/dog.jpg" 2&> inception_inference.log
fi
result=`grep -c "pug-dog" inception_inference.log`
if [ $result == 1 ];
then
    echo "PASS: inception_inference correctly identified the image."
    exit 0
else
    echo "FAIL: inception_inference FAILED to identify the image."
    exit 1
fi