Windows下配置yolo环境，亲测有效

github上有源文件，以及配置说明 ，地址为：https://github.com/AlexeyAB/darknet

我装环境采用的是这个视频指导：

https://www.bilibili.com/video/BV1HZ4y1s7YF?from=search&seid=3520113328573922934，但是github上的是经常更新的，所以当你安装的时候github上的要求已经和视频里的有出入，而且我不太认同他的安装顺序，因为按照他的顺序装了之后还是会报错，可能多种因素影响吧，视频下面有很多评论，都是前人踩过的坑，可以参考。

Requirements

• Windows or Linux
• CMake >= 3.12: https://cmake.org/download/
• CUDA >= 10.2: https://developer.nvidia.com/cuda-toolkit-archive (on Linux do Post-installation Actions)
• OpenCV >= 2.4: use your preferred package manager (brew, apt), build from source using vcpkg or download from OpenCV official site (on Windows set system variable OpenCV_DIR = C:\opencv\build - where are the include and x64 folders image)
• cuDNN >= 8.0.2 https://developer.nvidia.com/rdp/cudnn-archive (on Linux copy cudnn.h,libcudnn.so... as desribed here https://docs.nvidia.com/deeplearning/sdk/cudnn-install/index.html#installlinux-tar , on Windows copy cudnn.h,cudnn64_7.dll, cudnn64_7.lib as desribed here https://docs.nvidia.com/deeplearning/sdk/cudnn-install/index.