sudo apt-get update
# sudo apt-get clean
# sudo nano / etc/ apt/ sources.list 把国内清华源加里面：https://www.louishe.com/2021/12/08/doc-11364.html
# 如果要换DNS：sudo vi /etc/resolv.conf

sudo apt install libopencv-dev
pip install opencv-python

# 如果pip无法安装，则通过编译安装：https://linuxize.com/post/how-to-install-opencv-on-ubuntu-20-04/

pip3 install torch==1.10.1+cu113 torchvision==0.11.2+cu113 torchaudio==0.10.1+cu113 -f https://download.pytorch.org/whl/cu113/torch_stable.html

python3.9 -m pip install openvino-dev pytorch

3.安装openvino

Install and Configure Intel® Distribution of OpenVINO™ Toolkit for Linux — OpenVINO™ documentation

pip install openvino
# sudo cp -r /opt/intel/openvino_2021/python/python3.9/openvino/ /home/suanfa/anaconda3/lib/python3.9/site-packages/

sudo cp ./anaconda3/lib/libpython3.9.so.1.0 /usr/lib #resolve the problem of libpython3.9.so.1.0  
sudo cp -r ~/Documents/Fonts/ /usr/share/fonts/Fonts  #复制Windows字体到Ubuntu
#source /opt/intel/openvino_2021/bin/setupvars.sh # 首次安装openvino后，需执行该环境设置脚本

4.安装tkinter

sudo apt-get install python3-tk

5.安装face_recognition

pip install face-recognition

6.安装dlib

https://github.com/davisking/dlib

若在虚拟环境安装，可参考以下安装方式：

sudo apt-get install libboost-all-dev cmake
sudo apt-get install libx11-dev
sudo apt-get install build-essential
git clone https://github.com/davisking/dlib.git
cd dlib
mkdir build; cd build; cmake .. -DDLIB_USE_CUDA=0 -DUSE_AVX_INSTRUCTIONS=1; cmake --build .
cd ..
python3 setup.py install  --no DLIB_USE_CUDA