Yolov8 windows配置

==视频链接：== https://www.bilibili.com/video/BV1Mu411F7MD/?spm_id_from=333.1007.top_right_bar_window_custom_collection.content.click&vd_source=46e72d06ad7d97bf9b4b0bf11a117863

==文档==

==根据需求配置，不需要全部配置==

1.显卡驱动查看 nvidia-smi

2.yolo源码与模型 https://hub.nuaa.cf/ultralytics/ultralytics https://github.com/ultralytics/ultralytics

3.anaconda https://www.anaconda.com/download https://repo.anaconda.com/miniconda/Miniconda3-latest-Windows-x86_64.exe 环境变量： C:\ProgramData\miniconda3 C:\ProgramData\miniconda3\Scripts C:\ProgramData\miniconda3\Library\bin

4.创建python环境 conda create -n yolo python==3.8 查看现有环境 conda env list 激活环境 conda activate yolo 激活失败 conda init cmd.exe 删除环境 conda env remove -n yolo

5.安装库 pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu118 pip install ultralytics==8.1 -i https://pypi.tuna.tsinghua.edu.cn/simple pip install onnx -i https://pypi.tuna.tsinghua.edu.cn/simple pip install onnxsim -i https://pypi.tuna.tsinghua.edu.cn/simple pip install onnxruntime -i https://pypi.tuna.tsinghua.edu.cn/simple (最新的yolo8改用默认GPU版的onnxruntime，要安装一下下面的库，否则ONNX转换会有警告) pip install onnxruntime-gpu -i https://pypi.tuna.tsinghua.edu.cn/simple

修改输出维度 gitub镜像下载地址:https://hub.nuaa.cf/shouxieai/infer python v8trans.py best.onnx

推理检测 yolo predict model=yolov8n.pt source=4.png