CPU 基本信息 最好支持 avx512 指令集

# 查看物理CPU个数
cpu_count=$(cat /proc/cpuinfo| grep "physical id"| sort| uniq| wc -l)
echo "物理CPU个数: "$cpu_count

# 查看每个物理CPU中core的个数(即核数)
cpu_cores=$(cat /proc/cpuinfo| grep "cpu cores"| uniq)
echo "物理CPU中core的个数 "$cpu_cores

# 查看逻辑CPU的个数
cpu_logic=$(cat /proc/cpuinfo| grep "processor"| wc -l)
echo "逻辑CPU的个数: "$cpu_logic

cpu_avx512=$(cat /proc/cpuinfo | grep "avx512" | wc -l)
echo "avx512 指令集 CPU的个数: "$cpu_avx512

# 查看CPU信息（型号）
cat /proc/cpuinfo | grep name | cut -f2 -d: | uniq -c

# 查看内 存信息
# cat /proc/meminfo

安装配置 zsh & oh-my-zsh

$ sudo apt-get install -y zsh
$ sudo apt-get install -y git
$ wget "https://raw.github.com/robbyrussell/oh-my-zsh/master/tools/install.sh"
$ sh install.sh -O -
$ chsh -s /bin/zsh sijiu.duan
$ vi ~/.zshrc
# 设置不同样式
#ZSH_THEME="robbyrussell"
#ZSH_THEME="bira"
#ZSH_THEME="amuse"
#ZSH_THEME="frisk"
#ZSH_THEME="agnoster"
ZSH_THEME="bureau"

安装OpenVINO

Download and Install OpenVINO

https://software.intel.com/en-us/openvino-toolkit/choose-download/free-download-linux

Install External Software Dependencies

Manual install Dependencies

1. CMake 2.4 or higher

# sudo su
# apt-get install cmake

2. Intel® Graphics Compute Runtime for OpenCL™ Driver
   OpenCL™ Runtimes for Intel® Processors
   https://software.intel.com/en-us/articles/opencl-drivers#proc-graph-section

a. Create temporary directory

# mkdir neo

b. Download all *.deb packages

# cd neo
# wget https://github.com/intel/compute-runtime/releases/download/19.36.14103/intel-gmmlib_19.2.3_amd64.deb
# wget https://github.com/intel/compute-runtime/releases/download/19.36.14103/intel-igc-core_1.0.11-2500_amd64.deb
# wget https://github.com/intel/compute-runtime/releases/download/19.36.14103/intel-igc-opencl_1.0.11-2500_amd64.deb
# wget https://github.com/intel/compute-runtime/releases/download/19.36.14103/intel-opencl_19.36.14103_amd64.deb
# wget https://github.com/intel/compute-runtime/releases/download/19.36.14103/intel-ocloc_19.36.14103_amd64.deb 

c. Verify sha256 sums for packages

# wget https://github.com/intel/compute-runtime/releases/download/19.36.14103/ww36.sum
# sha256sum -c ww36.sum

d. Install all packages as root

# sudo dpkg -i *.deb

3. Install the following libraries or packages required for Intel-optimized OpenCV,
   the Inference Engine, and the Model Optimizer tools: - libcairo2-dev
   • libpango1.0-dev
   • libglib2.0-dev
   • libgtk2.0-dev
   • libgstreamer1.0-0
   • libswscale-dev
   • libavcodec-dev
   • libavformat-dev
   • gstreamer1.0-plugins-base

# apt-get install libpango1.0-dev
# apt-get install libglib2.0-dev
# apt-get install libgtk2.0-dev
# apt-get install libgstreamer1.0-0
# apt-get install libswscale-dev
# apt-get install libavcodec-dev
# apt-get install libavformat-dev
# apt-get install gstreamer1.0-plugins-base

Other Dependents

# cd /opt/intel/openvino/install_dependencies
# sudo -E ./install_openvino_dependencies.sh

Set the Environment Variables

Add this line to the end of the file.

# vi ~/.bashrc
source /opt/intel/openvino/bin/setupvars.sh

Configure the Model Optimizer

1. Go to the Model Optimizer prerequisites directory:

cd /opt/intel/openvino/deployment_tools/model_optimizer/install_prerequisites

2. Run the script to configure the Model Optimizer for Caffe, TensorFlow, MXNet, Kaldi*, and ONNX:

sudo ./install_prerequisites.sh

Run the Verification Scripts to Verify Installation

1. Go to the Inference Engine demo directory:

cd /opt/intel/openvino/deployment_tools/demo

2. Run the Image Classification verification script:

./demo_squeezenet_download_convert_run.sh

3. Run the Inference Pipeline verification script:

./demo_security_barrier_camera.sh