ros2与深度学习教程-整合openvino kit

ros2与深度学习教程-整合openvino kit

说明：

• 介绍如何在ubuntu 20.04的ros2版本foxy下整合openvino kit
• 测试环境：nuc ubuntu 20.04

安装openvinokit步骤：

• 下载openvino，进入下载申请页面
• 选择离线版本安装

• 再填写邮箱，提交即可下载。
• 或者使用我们这个版本，这个离线安装版本有600多M

wget https://registrationcenter-download.intel.com/akdlm/irc_nas/18319/l_openvino_toolkit_p_2021.4.752.tgz

• 解压包

tar -xvzf l_openvino_toolkit_p_2021.4.752.tgz

• 进入目录

cd l_openvino_toolkit_p_2021.4.752

• 运行界面安装，推荐

sudo ./install_GUI.sh

• 打开界面

• 根据提示，一步步完成安装
• 安装完成界面

• 安装位置

For root or administrator: /opt/intel/openvino_<version>/
For regular users: /home/<USER>/intel/openvino_<version>/

• 安装额外的依赖

cd /opt/intel/openvino_2021/install_dependencies
sudo -E ./install_openvino_dependencies.sh

• 加载环境

source /opt/intel/openvino_2021/bin/setupvars.sh

• 或者增加加载脚本到bashrc

vim ~/.bashrc
source /opt/intel/openvino_2021/bin/setupvars.sh

• 输入:wq 保存

• 配置模型优化

• 可以针对 Caffe, TensorFlow 2.x, MXNet, Kaldi, and ONNX做优化

cd /opt/intel/openvino_2021/deployment_tools/model_optimizer/install_prerequisites
sudo ./install_prerequisites.sh

测试例子：

• 编译demo

# root is required instead of sudo
 source /opt/intel/openvino_2021/bin/setupvars.sh
 cd /opt/intel/openvino_2021/deployment_tools/open_model_zoo/demos
 source build_demos.sh

• 编译后执行文件的位置

/home/ubuntu/omz_demos_build/intel64/Release

• 下载模型
• 进入open_model_zoo路径

cd /opt/intel/openvino_2021/deployment_tools/open_model_zoo/tools/downloader

• 查看所有模型

./downloader.py --print_all

• 下载face-detection模型：

sudo ./downloader.py --name face-detection-retail-0004

• 目录位于：

/opt/intel/openvino_2021.4.752/deployment_tools/open_model_zoo/tools/downloader/intel/face-detection-retail-0004/FP32/face-detection-retail-0004.xml

• 下载视频例子

mkdir -p ~/tools/openvino
cd ~/tools/openvino
git clone https://github.com/intel-iot-devkit/sample-videos.git

• 运行例子

#进入目录
cd ~/omz_demos_build/intel64/Release
#source环境
source /opt/intel/openvino_2021/bin/setupvars.sh
#执行例子
./multi_channel_face_detection_demo -m /opt/intel/openvino_2021.4.752/deployment_tools/open_model_zoo/tools/downloader/intel/face-detection-retail-0004/FP16-INT8/face-detection-retail-0004.xml -d CPU -i ~/tools/openvino/sample-videos/head-pose-face-detection-female-and-male.mp4 -i ~/tools/openvino/sample-videos/head-pose-face-detection-female.mp4 -i ~/tools/openvino/sample-videos/head-pose-face-detection-male.mp4 -i ~/tools/openvino/sample-videos/people-detection.mp4 -i ~/tools/openvino/sample-videos/face-demographics-walking-and-pause.mp4 -i ~/tools/openvino/sample-videos/face-demographics-walking.mp4

• 成功执行之后，显示一个界面，标识人脸。
• 更多例子介绍：https://docs.openvino.ai/latest/omz_demos.html

参考：

• https://docs.openvino.ai/latest/openvino_docs_install_guides_installing_openvino_linux.html#install-openvino

• https://github.com/intel/ros2_openvino_toolkit/blob/master/doc/getting_started_with_Foxy_Ubuntu20.04.md

• https://docs.openvino.ai/latest/model_zoo.html

• https://github.com/openvinotoolkit/open_model_zoo/

• https://docs.openvino.ai/latest/get_started.html