linux下怎么用caffe

sudo apt-get update
sudo apt-get install -y libprotobuf-dev libleveldb-dev libsnappy-dev libopencv-dev libboost-all-dev libhdf5-serial-dev libgflags-dev libgoogle-glog-dev liblmdb-dev protobuf-compiler

git clone https://github.com/BVLC/caffe.git
cd caffe

cp Makefile.config.example Makefile.config
nano Makefile.config

make all -j$(nproc)
make test -j$(nproc)
make runtest -j$(nproc)

pip install -r python/requirements.txt
make pycaffe -j$(nproc)

import caffe

# 设置网络结构和权重文件
net = caffe.Net('path/to/deploy.prototxt', 'path/to/weights.caffemodel', caffe.TEST)

# 加载并预处理数据
transformer = caffe.io.Transformer({'data': net.blobs['data'].data.shape})
transformer.set_transpose('data', (2,0,1))  # 将图像通道转换为HxWxC
transformer.set_mean('data', np.array([104,117,123]))  # 减去均值
transformer.set_raw_scale('data', 255)  # 将像素值缩放到[0,255]
transformer.set_channel_swap('data', (2,1,0))  # 将RGB转换为BGR

# 运行网络
net.blobs['data'].reshape(1,3,227,227)
net.blobs['data'].data[...] = transformer.preprocess('data', caffe.io.load_image('path/to/image.jpg'))
output = net.forward()

# 处理输出结果
print(output['prob'])