背景
跑一个指标检测模型的baseline，baseline地址为https://github.com/yuantn/MI-AOD
装置mmcv-full时出错
设施版本
baseline要求的版本：GPULinux 开发平台 （举荐应用 Ubuntu 和 CentOS，咱们在 Ubuntu 16.04、Ubuntu 18.04、CentOS 7.6 上测试过。）Anaconda3Python 3.6+ （举荐应用 Python 3.7，咱们用它测试过。）PyTorch 1.3+ （举荐应用 PyTorch 1.6，咱们用它测试过。）CUDA 9.2+ （举荐应用 CUDA 10.2，咱们用它测试过。如果你从源代码来搭建 PyTorch，那么 CUDA 9.0 也能够兼容。）CuDNN （可选项，咱们用 CuDNN 7.6.5 测试过。）GCC 5+ （举荐应用 GCC 4.8.5, 5.5.0 and 7.5.0，咱们用它们测试过。）MMCV （十分举荐应用 MMCV 1.0.5，咱们用它测试过。它是惟一一个和 MMDetection 2.3.0 兼容的 MMCV 版本，这套 MI-AOD 代码是在该版本的 MMDetection 根底上编写的。我这里版本比baseline要求的要高ubuntu16.04，cuda 11.4（实验室备的）pytorch（1.10.0）torchvision（0.11.1）python3.7GCC 5.5.0正确装置步骤
补充我装置pytorch和pytorchvision，cudatoolkit，mmcv-full程序
因为实验室cuda版本已确定,所以我的版本确定程序如下：
cuda（11.4）-->cudatoolkit（11.3）-->pytorch(1.10.0),pytorchvision(0.11.1)-->mmcv-full(1.4.2)
- 创立python3.7的虚拟环境miaod并激活
conda create -n miaod python=3.7 -yconda activate miaod- 装置pytorch ，torchvision和cudatoolkit
不确定版本的话看这个https://pytorch.org/
conda install pytorch cudatoolkit=11.3 torchvision -c pytorch查看装置胜利
然而因为conda下载太慢，常常会断，而且我这里遇到了点问题，不晓得是不是镜像源配置问题（解决：过后把整个虚拟环境删掉，从新建了），所以能够采纳wget形式装置，这里不赘述.
- 装置mmcv-full
这里我执行了
pip install mmcv-full==1.4.2 -f https://download.openmmlab.com/mmcv/dist/cu113/torch1.10.0/index.html官网给出的命令如下：
pip install mmcv-full=={mmcv_version} -f https://download.openmmlab.com/mmcv/dist/{cuda_version}/{torch_version}/index.html其中，{ }中的版本须要替换成对应版本，不晓得的能够查看https://github.com/open-mmlab...
点击标记的中央，关上外面的网址，能够查看更多的mmcv版本
- 查看是否装置胜利
pip list
我的神奇出错步骤
因为要cuda和torch版本要对应，所以参考链接
然而我的cuda是11.4，所以自作聪明把cu114改成了cu114，造孽呀，试了好屡次才发现错在一个版本数字上。
集体输出：
pip install mmcv-full=={mmcv_version} -f https://download.openmmlab.com/mmcv/dist/cu114/torch1.10.0/index.html贴上局部谬误提醒
(miaod)gjs@xaserver:~$ pip install mmcv-fullCollecting mmcv-full Using cached mmcv-full-1.4.6.tar.gz (438 kB)Requirement already satisfied: addict in ./anaconda3/envs/iaod/lib/python3.7/site-packages (from mmcv-full) (2.4.0)Requirement already satisfied: numpy in ./anaconda3/envs/miaod/lib/python3.7/site-packages (from mmcv-full) (1.21.5)Requirement already satisfied: packaging in ./anaconda3/envs/miaod/lib/python3.7/site-packages (from mmcv-fu ll) (21.3)Requirement already satisfied: Pillow in ./anaconda3/envs/miaod/lib/python3.7/site-packages (from mmcv-full) (9.0.1)Requirement already satisfied: pyyaml in ./anaconda3/envs/miaod/lib/python3.7/site-packages (from mmcv-full) (6.0)Requirement already satisfied: yapf in ./anaconda3/envs/miaod/lib/python3.7/site-packages (from mmcv-full) ( 0.32.0)Requirement already satisfied: pyparsing!=3.0.5,>=2.0.2 in ./anaconda3/envs/miaod/lib/python3.7/site-package s (from packaging->mmcv-full) (3.0.7)Building wheels for collected packages: mmcv-full Building wheel for mmcv-full (setup.py) ... error ERROR: Command errored out with exit status 1: command: /home/gjs/anaconda3/envs/miaod/bin/python3 -u -c 'import sys, setuptools, tokenize; sys.argv[0] = '" '"'/tmp/pip-install-j0pjsxbk/mmcv-full_d5394041d9d84b8a8b9d8c96a1f87280/setup.py'"'"'; __file__='"'"'/tmp/pip-in stall-j0pjsxbk/mmcv-full_d5394041d9d84b8a8b9d8c96a1f87280/setup.py'"'"';f=getattr(tokenize, '"'"'open'"'"', open )(__file__);code=f.read().replace('"'"'\r\n'"'"', '"'"'\n'"'"');f.close();exec(compile(code, __file__, '"'"'exec '"'"'))' bdist_wheel -d /tmp/pip-wheel-mxbrufls cwd: /tmp/pip-install-j0pjsxbk/mmcv-full_d5394041d9d84b8a8b9d8c96a1f87280/ Complete output (663 lines): running bdist_wheel /home/gjs/anaconda3/envs/miaod/lib/python3.7/site-packages/torch/utils/cpp_extension.py:381: UserWarning: Atte mpted to use ninja as the BuildExtension backend but we could not find ninja.. Falling back to using the slow di stutils backend. warnings.warn(msg.format('we could not find ninja.')) running build running build_py致谢
感激崔大佬，让我对服务器的意识从0.5到1，之后会缓缓增到到10，甚至100的