samplecode.cpp

  caffe::BlobProto blob_proto;
    blob_proto.set_num(1);
    blob_proto.set_channels(3);
    blob_proto.set_height(224);
    blob_proto.set_width(224);
    blob_proto.clear_data();

    for (int c = 0; c < 3; ++c) {
      for (int h = 0; h < 224; ++h) {
        for (int w = 0; w < 224; ++w) {
            cv::Vec3f& vec = conv.at<cv::Vec3f>(h,w);
            blob_proto.add_data(conv.at<cv::Vec3b>(h, w)[c]);
        }
      }
    }

    input_layer->FromProto(blob_proto);



    std::vector<boost::shared_ptr<caffe::Blob<float> > >& layer = net_.layer_by_name("data")->blobs();


    net_.Forward();

    std::vector<std::string> layerNames = net_.layer_names();
    for(int i=0; i<layerNames.size(); i++){
        cout << layerNames[i] << endl;
        std::vector<boost::shared_ptr<caffe::Blob<float> > >& layer = net_.layer_by_name(layerNames[i])->blobs();
        cout << layer.size() << endl;
    }