1.测试环境：
ubuntu版本：18.04.1LTS
openvino版本：2020.1.023
模型文档链接：(https://docs.openvinotoolkit.org/latest/_demos_crossroad_camera_demo_README.html)[]
2.下载模型
进入open_model_zoo路径
cd /home/kang/open_model_zoo/tools/downloader
在模型列表中找到要下载的模型并下载：
./downloader.py --name person-vehicle-bike-detection-crossroad-0078
记录xml文件下载路径：
/home/kang/open_model_zoo/tools/downloader/intel/person-vehicle-bike-detection-crossroad-0078/FP32/person-vehicle-bike-detection-crossroad-0078.xml
3.编译
执行下列命令
cd /opt/intel/openvino/deployment_tools/inference_engine/demos
./build_demos.sh
进入crossroad_camera_demo路径，执行make
cd ~/omz_demos_build/crossroad_camera_demo
make -j4
4.运行
cd ~/omz_demos_build/intel64/Release
./crossroad_camera_demo -m /home/kang/open_model_zoo/tools/downloader/intel/person-vehicle-bike-detection-crossroad-0078/FP32/person-vehicle-bike-detection-crossroad-0078.xml -d CPU -i /home/kang/Downloads/test_data/pedestrian.png
得到结果和图像信息。
