caffe python接口 测试分类：

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#coding=utf-8#加载必要的库import numpy as npimport sys,os#设置当前目录caffe_root = '/home/xxx/caffe/' sys.path.insert(0, caffe_root + 'python')import caffeos.chdir(caffe_root)net_file=caffe_root + 'models/bvlc_reference_caffenet/deploy.prototxt'caffe_model=caffe_root + 'models/bvlc_reference_caffenet/bvlc_reference_caffenet.caffemodel'mean_file=caffe_root + 'python/caffe/imagenet/ilsvrc_2012_mean.npy'net = caffe.Net(net_file,caffe_model,caffe.TEST)transformer = caffe.io.Transformer({'data': net.blobs['data'].data.shape})transformer.set_transpose('data', (2,0,1))transformer.set_mean('data', np.load(mean_file).mean(1).mean(1))transformer.set_raw_scale('data', 255) transformer.set_channel_swap('data', (2,1,0))im=caffe.io.load_image(caffe_root+'examples/images/cat.jpg')net.blobs['data'].data[...] = transformer.preprocess('data',im)out = net.forward()imagenet_labels_filename = caffe_root + 'data/ilsvrc12/synset_words.txt'labels = np.loadtxt(imagenet_labels_filename, str, delimiter='\t')top_k = net.blobs['prob'].data[0].flatten().argsort()[-1:-6:-1]for i in np.arange(top_k.size):    print top_k[i], labels[top_k[i]]