安装pytorch+yolov5+opencv-python+opecv-cpp

1. 安装Pytorch 

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1	pip install torch==1.8.2 torchvision==0.9.2 --extra-index-url https://download.pytorch.org/whl/lts/1.8/cpu

 运行Python

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1 2	import torch print(torch.__version__)

2. 安装YOLOv5 

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$ git clone https://github.com/ultralytics/yolov5.git $ cd yolov5 $ pip install -r requirements.txt   python detect.py --weights yolov5s.pt --img 640 --conf 0.25 --source data/images   pip install onnx   python export.py --weights outputs/weights/yolov5s.pt --img 640 --batch 1   pip install netron   import netron netron.start('yolov5s.onnx')

 3. 安装opencv-python 

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pip install opencv-python   import cv2 print(cv2.__version__)

 4. 安装opencv-c++

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conda deactivate #退出anaconda环境，否则会出在编译时出现冲突   # Install minimal prerequisites (Ubuntu 18.04 as reference) sudo apt update && sudo apt install -y cmake g++ wget unzip # Download and unpack sources wget -O opencv.zip https://github.com/opencv/opencv/archive/4.x.zip unzip opencv.zip # Create build directory mkdir -p build && cd build # Configure cmake  ../opencv-4.x # Build cmake --build .   sudo make install

添加环境路径

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vim .bashrc export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/lib export CPLUS_INCLUDE_PATH=$CPLUS_INCLUDE_PATH:/usr/local/include/opencv4

参考：

https://docs.opencv.org/4.x/d7/d9f/tutorial_linux_install.html

https://docs.opencv.org/4.x/db/df5/tutorial_linux_gcc_cmake.html

https://www.it610.com/article/1295232669759643648.htm

https://blog.csdn.net/qq_16792139/article/details/124079537

https://blog.csdn.net/qq_57841179/article/details/120652873