15AH, San Francisco

California, United States.

Send Your Mail At:

tianyingkejishe@sina.cn

Working Hours

Mon-Sat: 9.30am To 7.00pm

【YOLO11】yolov11基本环境安装

1、安装anaconda

进入官网:https://www.anaconda.com/download/success

下载后一路默认安装就可以

安装完以后,创建yolov11环境:

conda create -n yolov11 python=3.12

激活环境:

conda activate yolov11

2、安装GPU环境

Intel GPU ENV:https://anaconda.org/conda-forge/libopenvino-intel-gpu-plugin

To install this package run one of the following:
conda install conda-forge::libopenvino-intel-gpu-plugin
conda install conda-forge/label/openvino_dev::libopenvino-intel-gpu-plugin

管理员权限打开

NVIDA GPU ENV:

安装cuda及cudnn

3、安装Pytorch

进入pytorh官网:https://pytorch.org/get-started/locally/

选择版本:

4、安装ultralytics库

pip install ultralytics

5、更换源库

conda config –remove-key channels

conda config –add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/

conda config –add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main/

conda config –add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge/

conda config –set show_channel_urls yes

pip config set global.index-url https://mirrors.ustc.edu.cn/pypi/web/simple

anyShare分享到:
本站的文章和资源来自互联网或者站长的原创,按照 CC BY -NC -SA 3.0 CN协议发布和共享,转载或引用本站文章应遵循相同协议。如果有侵犯版权的资源请尽快联系站长,我们会在24h内删除有争议的资源。欢迎大家多多交流,期待共同学习进步。
stormwind