【使用jupyter快速跑通yolov5】
作者:互联网
不关心yolov5的原理实现,只说怎么跑通代码
第一步 conda install git
就是说没有git,怎么git clone?所以第一步下载git,如果已有可以下一步!
PS:清华源真的下载老是断掉,所以果断换源。
找到conda配置路径直接修改,方便快捷!!!
-
在C盘找到下面的文件,以记事本方式打开
C:\Users[你的用户名].condarc
-
删除里面的内容,贴下的源
北京外国语大学开源软件镜像站
https://mirrors.bfsu.edu.cn/
注:**亲测好用!强烈推荐!!!**2020-05-02 上线,清华大学开源软件镜像站的姐妹站,下载体验极佳,再也不用忍受清华源永远下不完的 pytorch 了。channels: - defaults show_channel_urls: true channel_alias: https://mirrors.bfsu.edu.cn/anaconda default_channels: - https://mirrors.bfsu.edu.cn/anaconda/pkgs/main - https://mirrors.bfsu.edu.cn/anaconda/pkgs/free - https://mirrors.bfsu.edu.cn/anaconda/pkgs/r - https://mirrors.bfsu.edu.cn/anaconda/pkgs/pro - https://mirrors.bfsu.edu.cn/anaconda/pkgs/msys2 custom_channels: conda-forge: https://mirrors.bfsu.edu.cn/anaconda/cloud msys2: https://mirrors.bfsu.edu.cn/anaconda/cloud bioconda: https://mirrors.bfsu.edu.cn/anaconda/cloud menpo: https://mirrors.bfsu.edu.cn/anaconda/cloud pytorch: https://mirrors.bfsu.edu.cn/anaconda/cloud simpleitk: https://mirrors.bfsu.edu.cn/anaconda/cloud
上海交通大学开源软件镜像站
https://mirrors.sjtug.sjtu.edu.cn/
channels: - defaults show_channel_urls: true channel_alias: https://anaconda.mirrors.sjtug.sjtu.edu.cn/ default_channels: - https://anaconda.mirrors.sjtug.sjtu.edu.cn/pkgs/main - https://anaconda.mirrors.sjtug.sjtu.edu.cn/pkgs/free - https://anaconda.mirrors.sjtug.sjtu.edu.cn/pkgs/mro - https://anaconda.mirrors.sjtug.sjtu.edu.cn/pkgs/msys2 - https://anaconda.mirrors.sjtug.sjtu.edu.cn/pkgs/pro - https://anaconda.mirrors.sjtug.sjtu.edu.cn/pkgs/r custom_channels: conda-forge: https://anaconda.mirrors.sjtug.sjtu.edu.cn/conda-forge soumith: https://anaconda.mirrors.sjtug.sjtu.edu.cn/cloud/soumith bioconda: https://anaconda.mirrors.sjtug.sjtu.edu.cn/cloud/bioconda menpo: https://anaconda.mirrors.sjtug.sjtu.edu.cn/cloud/menpo viscid-hub: https://anaconda.mirrors.sjtug.sjtu.edu.cn/cloud/viscid-hub atztogo: https://anaconda.mirrors.sjtug.sjtu.edu.cn/cloud/atztogo
阿里巴巴开源软件镜像站
https://developer.aliyun.com/mirror/
channels: - defaults show_channel_urls: true default_channels: - http://mirrors.aliyun.com/anaconda/pkgs/main - http://mirrors.aliyun.com/anaconda/pkgs/r - http://mirrors.aliyun.com/anaconda/pkgs/msys2 custom_channels: conda-forge: http://mirrors.aliyun.com/anaconda/cloud msys2: http://mirrors.aliyun.com/anaconda/cloud bioconda: http://mirrors.aliyun.com/anaconda/cloud menpo: http://mirrors.aliyun.com/anaconda/cloud pytorch: http://mirrors.aliyun.com/anaconda/cloud simpleitk: http://mirrors.aliyun.com/anaconda/cloud
清华大学开源软件镜像站
https://mirror.tuna.tsinghua.edu.cn/
channels: - defaults show_channel_urls: true channel_alias: https://mirrors.tuna.tsinghua.edu.cn/anaconda default_channels: - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/r - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/pro - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/msys2 custom_channels: conda-forge: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud msys2: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud bioconda: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud menpo: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud pytorch: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud simpleitk: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
-
跟换好源后,在jupyter中新建终端下载
conda install git
(以下执行命令均在terminal中执行)
第二步 git clone yolov5
这里用的也是github镜像(github.com.cnpmjs.org)
git clone https://github.com.cnpmjs.org/Whiffe/yolov5-deepsort.git
切换到克隆的文件夹下
cd yolov5-deepsort
安装需要的环境
pip install -r requirements.txt
运行代码
python demoX.py
其中yolov5-deepsort中test.mp4即为我们要检测的视频,最后会生成result.mp4作为结果。
如需要更换测试视频,只需要在demoX.py文件中cap = cv2.VideoCapture(’./test.mp4’)修改
运行时问题汇总
- RuntimeError: “unfolded2d_copy“ not implemented for ‘Half‘
检测模块中AIDetector_pytorch.py的.half()全部改成.float()
- 错误:OMP: Error #15: Initializing libiomp5md.dll, but found libiomp5md.dll already initialized.
允许副本存在,python程序中添加import os os.environ['KMP_DUPLICATE_LIB_OK'] = 'TRUE'
参考:
[1]: https://blog.csdn.net/weixin_43667077/article/details/106521015
[2]: https://www.cnblogs.com/KdeS/p/14677169.html
[3]: https://blog.csdn.net/m0_50736744/article/details/121799432
[4]: https://blog.csdn.net/WhiffeYF/article/details/121346483
标签:yolov5,jupyter,cn,mirrors,跑通,https,anaconda,edu,cloud 来源: https://blog.csdn.net/weixin_44115102/article/details/122251487