下载meta数据到当前目录：

./get_ilsvrc_aux.sh

下载caffenet模型：

cd ../../models/nclv_reference_caffenet/

wget http://dl.caffe.berkeleyvision.org/bvlc_reference_caffenet.caffemodel

回到根目录 ./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

输出如下所示： ———- Prediction for examples/images/cat.jpg ———- 0.3134 - “n02123045 tabby, tabby cat” 0.2380 - “n02123159 tiger cat” 0.1235 - “n02124075 Egyptian cat” 0.1003 - “n02119022 red fox, Vulpes vulpes” 0.0715 - “n02127052 lynx, catamount”