Detectron2安装踩坑记录（比较详细版）
目录
第一章 创建一个detectron2的环境
1.1打开Prompt，然后输入
1.2激活环境
第二章 安装pytorch1.9.0
2.1依据自身环境查看版本
2.2安装pytorch的相关命令
2.3报错汇总解决
2.4测试pytorch安装效果
第三章 安装其他的包
3.1安装opencv
3.2安装pycocotools
3.2.1报错参考
3.2.2安装成功实例
第四章 安装Detectron2
4.1 进行剩下的几个pip包的安装
4.2根据自己安装的Pytorch、CUDA版本，选择对应的 detectron2 版本安装
4.3报错与解决
祝大家都可以成功安装，一起加油
参考：利用 Conda 安装深度学习框架 Pytorch (qq.com)
https://mp.weixin.qq.com/s/khV6TdmiQwj0_b7cih5wAQ
第一章 创建一个detectron2的环境
我使用的是AnacondaPrompt（Anaconda3）命令行进行安装以下所有的东西的，首先我们要进行创建一个环境
1.1打开Prompt，然后输入
conda create -n detectron2 python=3.8 -y
1.2激活环境
activate detectron2
如果这里失败了可以再试试。
source activate detectron2
以下的操作都是基于搭建完detectron2的conda环境来进行的
第二章 安装pytorch1.9.0
2.1依据自身环境查看版本
我们首先要看一下自己的GPU版本（当然如若没有GPU或者不用GPU，选择CPU版本也可以）
打开CMD，输入nvcc --version，这里我们看到我们的cuda版本为11.1，故选择cuda 11.1对应的pytorch
此时要去官网看一下Previous Pytorch Versions（先前的pytorch版本）
往下翻——找到我们所需的v1.9.0
然后我们找到cuda11.1这里的命令行
# CUDA 11.1
pip install torch==1.9.0+cu111 torchvision==0.10.0+cu111 torchaudio==0.9.0 -f https://download.pytorch.org/whl/torch_stable.html
当然如果你是最新版本的cuda11.3可以去官网首页查找命令
pytorch官网
2.2安装pytorch的相关命令
最新的cuda11.3以conda方式安装
conda install pytorch torchvision torchaudio cudatoolkit=11.3 -c pytorchcuda11.3以pip3方式安装
pip3 install torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/cu113安装torch1.9.0的其他版本
# CUDA 11.1
pip install torch==1.9.0+cu111 torchvision==0.10.0+cu111 torchaudio==0.9.0 -f https://download.pytorch.org/whl/torch_stable.html# CUDA 10.2
pip install torch==1.9.0+cu102 torchvision==0.10.0+cu102 torchaudio==0.9.0 -f https://download.pytorch.org/whl/torch_stable.html# CPU only
pip install torch==1.9.0+cpu torchvision==0.10.0+cpu torchaudio==0.9.0 -f https://download.pytorch.org/whl/torch_stable.html2.3报错汇总解决
安装pycocotools2.0.2这一块这里我遇到的问题基本上就是各种http error连接失败，这里推荐几种方法进行安装
第一种可以考虑国内清华镜像源进行安装，这种方法可以推荐，但是我自己却失败了。
(76条消息) pytorch+GPU 清华镜像源安装(anaconda)_一念成人的博客-CSDN博客_pytorch清华镜像源https://blog.csdn.net/qq_45871272/article/details/106807642?ops_request_misc=&request_id=&biz_id=102&utm_term=pytorch%E6%9B%B4%E6%8D%A2%E6%B8%85%E5%8D%8E%E9%95%9C%E5%83%8F%E6%BA%90&utm_medium=distribute.pc_search_result.none-task-blog-2~all~sobaiduweb~default-3-106807642.142%5Ev9%5Epc_search_result_control_group,157%5Ev4%5Econtrol&spm=1018.2226.3001.4187
(76条消息) pytorch镜像安装【清华源】_Activewaste的博客-CSDN博客_pytorch清华镜像源https://blog.csdn.net/qq_41375609/article/details/103574507?ops_request_misc=&request_id=&biz_id=102&utm_term=pytorch%E6%9B%B4%E6%8D%A2%E6%B8%85%E5%8D%8E%E9%95%9C%E5%83%8F%E6%BA%90&utm_medium=distribute.pc_search_result.none-task-blog-2~all~sobaiduweb~default-1-103574507.142%5Ev9%5Epc_search_result_control_group,157%5Ev4%5Econtrol&spm=1018.2226.3001.4187
(76条消息) 清华源镜像安装pytorch_樊城的博客-CSDN博客https://blog.csdn.net/weixin_44753371/article/details/103145696?ops_request_misc=%257B%2522request%255Fid%2522%253A%2522165012449416780269821658%2522%252C%2522scm%2522%253A%252220140713.130102334.pc%255Fall.%2522%257D&request_id=165012449416780269821658&biz_id=0&utm_medium=distribute.pc_search_result.none-task-blog-2~all~first_rank_ecpm_v1~rank_v31_ecpm-4-103145696.142%5Ev9%5Epc_search_result_control_group,157%5Ev4%5Econtrol&utm_term=pytorch%E6%9B%B4%E6%8D%A2%E6%B8%85%E5%8D%8E%E9%95%9C%E5%83%8F%E6%BA%90&spm=1018.2226.3001.4187
我自己的方法其实是离线下载到本地再使用pip命令进行安装——即为把上面官方的代码
# CUDA 11.1
pip install torch==1.9.0+cu111 torchvision==0.10.0+cu111 torchaudio==0.9.0 -f https://download.pytorch.org/whl/torch_stable.html
其中的地址提取出来
https://download.pytorch.org/whl/torch_stable.html进入其下载主页找到——
torch==1.9.0+cu111
torchaudio==0.9.0
torchvision==0.10.0+cu111
这三个对应的文件，点击下载到本地（可以使用迅雷接管下载）
https://download.csdn.net/download/blink182007/85158206https://download.csdn.net/download/blink182007/85158206将这条代码的三个文件，分别下载，分别独立安装——实现torch==1.9.0+cu111 torchvision==0.10.0+cu111 torchaudio==0.9.0本地离线安装，一共三个文件可以使用迅雷进行接管下载，也可以在浏览器下载。
下载完成以后使用pip install +文件路径名进行安装（实例 pip install E:\anacondalib\torch-1.9.0+cu111-cp38-cp38-win_amd64.whl）即可，如若遇见报错的情况——如安装pytorchvision时，可以改为pip3 install进行安装即可
然后就安装完成了
2.4测试pytorch安装效果
这里我们再测试一下安装效果
第三章 安装其他的包
这里我们再下载detectron2的文件
https://download.csdn.net/download/blink182007/85158248https://download.csdn.net/download/blink182007/85158248conansherry/detectron2: detectron2 windows build (github.com)https://github.com/conansherry/detectron2
3.1安装opencv
pip install opencv-python
我们打开pycharm发现还有很多环境没有装完，于是在pycharm终端开始安装（同样的使用pip命令），当然也可以使用anaconda进入你所创建的detectron2环境 ，然后搜索安装包进行安装
3.2安装pycocotools
3.2.1报错参考
我在安装pycocotools的时候遇见报错了ERROR如下：
ERROR: Command errored out with exit status 1:
command: 'D:\Anaconda3\envs\detectron2\python.exe' -u -c 'import io, os, sys, setuptools, tokenize; sys.argv[0] = '"'"'C:\\Users\\14508\\AppData\\Local\\Temp\\pip-install-45g_9a3k\\
pycocotools_af87afd1e057430c8b5cda64f904bec5\\setup.py'"'"'; __file__='"'"'C:\\Users\\14508\\AppData\\Local\\Temp\\pip-install-45g_9a3k\\pycocotools_af87afd1e057430c8b5cda64f904bec5\\s
etup.py'"'"';f = getattr(tokenize, '"'"'open'"'"', open)(__file__) if os.path.exists(__file__) else io.StringIO('"'"'from setuptools import setup; setup()'"'"');code = f.read().replace('"'"'\r\n'"'"', '"'"'\n'"'"');f.close();exec(compile(code, __file__, '"'"'exec'"'"'))' bdist_wheel -d 'C:\Users\14508\AppData\Local\Temp\pip-wheel-w8o8_8yo'
cwd: C:\Users\14508\AppData\Local\Temp\pip-install-45g_9a3k\pycocotools_af87afd1e057430c8b5cda64f904bec5\
Complete output (18 lines):
D:\Anaconda3\envs\detectron2\lib\site-packages\setuptools\installer.py:27: SetuptoolsDeprecationWarning: setuptools.installer is deprecated. Requirements should be satisfied by a PEP 517 installer.
warnings.warn(
running bdist_wheel
running build
running build_py
creating build
creating build\lib.win-amd64-3.8
creating build\lib.win-amd64-3.8\pycocotools
copying pycocotools\coco.py -> build\lib.win-amd64-3.8\pycocotools
copying pycocotools\cocoeval.py -> build\lib.win-amd64-3.8\pycocotools
copying pycocotools\mask.py -> build\lib.win-amd64-3.8\pycocotools
copying pycocotools\__init__.py -> build\lib.win-amd64-3.8\pycocotools
running build_ext
cythoning pycocotools/_mask.pyx to pycocotools\_mask.c
c:\users\14508\appdata\local\temp\pip-install-45g_9a3k\pycocotools_af87afd1e057430c8b5cda64f904bec5\.eggs\cython-0.29.28-py3.8.egg\Cython\Compiler\Main.py:369: FutureWarning: Cython
directive 'language_level' not set, using 2 for now (Py2). This will change in a later release! File: C:\Users\14508\AppData\Local\Temp\pip-install-45g_9a3k\pycocotools_af87afd1e057430c8b5cda64f904bec5\pycocotools\_mask.pyx
tree = Parsing.p_module(s, pxd, full_module_name)
building 'pycocotools._mask' extension
error: Microsoft Visual C++ 14.0 or greater is required. Get it with "Microsoft C++ Build Tools": https://visualstudio.microsoft.com/visual-cpp-build-tools/
----------------------------------------
ERROR: Failed building wheel for pycocotools
Running setup.py clean for pycocotools
Failed to build pycocotools
Installing collected packages: cython, pycocotools
Running setup.py install for pycocotools ... error
ERROR: Command errored out with exit status 1:
command: 'D:\Anaconda3\envs\detectron2\python.exe' -u -c 'import io, os, sys, setuptools, tokenize; sys.argv[0] = '"'"'C:\\Users\\14508\\AppData\\Local\\Temp\\pip-install-45g_9a3k
\\pycocotools_af87afd1e057430c8b5cda64f904bec5\\setup.py'"'"'; __file__='"'"'C:\\Users\\14508\\AppData\\Local\\Temp\\pip-install-45g_9a3k\\pycocotools_af87afd1e057430c8b5cda64f904bec5\
\setup.py'"'"';f = getattr(tokenize, '"'"'open'"'"', open)(__file__) if os.path.exists(__file__) else io.StringIO('"'"'from setuptools import setup; setup()'"'"');code = f.read().repla
ce('"'"'\r\n'"'"', '"'"'\n'"'"');f.close();exec(compile(code, __file__, '"'"'exec'"'"'))' install --record 'C:\Users\14508\AppData\Local\Temp\pip-record-o8noxmzx\install-record.txt' --single-version-externally-managed --compile --install-headers 'D:\Anaconda3\envs\detectron2\Include\pycocotools'
cwd: C:\Users\14508\AppData\Local\Temp\pip-install-45g_9a3k\pycocotools_af87afd1e057430c8b5cda64f904bec5\
Complete output (16 lines):
running install
D:\Anaconda3\envs\detectron2\lib\site-packages\setuptools\command\install.py:34: SetuptoolsDeprecationWarning: setup.py install is deprecated. Use build and pip and other standards-based tools.
warnings.warn(
running build
running build_py
creating build
creating build\lib.win-amd64-3.8
creating build\lib.win-amd64-3.8\pycocotools
copying pycocotools\coco.py -> build\lib.win-amd64-3.8\pycocotools
copying pycocotools\cocoeval.py -> build\lib.win-amd64-3.8\pycocotools
copying pycocotools\mask.py -> build\lib.win-amd64-3.8\pycocotools
copying pycocotools\__init__.py -> build\lib.win-amd64-3.8\pycocotools
running build_ext
skipping 'pycocotools\_mask.c' Cython extension (up-to-date)
building 'pycocotools._mask' extension
error: Microsoft Visual C++ 14.0 or greater is required. Get it with "Microsoft C++ Build Tools": https://visualstudio.microsoft.com/visual-cpp-build-tools/
----------------------------------------
第一种采取git方式进行安装方法我失败了，安装完git以后依旧失败
参考如下：
(75条消息) 安装pycocoapi， pip install "git+https://github.com/cocodataset/cocoapi.git#subdirectory=PythonAPI"出错_W.S.Yin的博客-CSDN博客https://blog.csdn.net/qq_36679208/article/details/105070957
参考下面五个攻略，来自：
(76条消息) 安装 detectron2时要求安装pycocotools2.0.2_Andy-Miao的博客-CSDN博客https://blog.csdn.net/mmww1994/article/details/108503168
(76条消息) 【已解决】error: Microsoft Visual C++ 14.0 or greater is required_ViatorSun的博客-CSDN博客https://blog.csdn.net/ViatorSun/article/details/118699938
(76条消息) 解决 ERROR: Command errored out with exit status 128: git clone -q_椰子炖我的博客-CSDN博客https://blog.csdn.net/Peggiehu/article/details/120658066
(76条消息) Visual C++ 2015 build tools 无法安装，提示缺少包_2∧10的博客-CSDN博客https://blog.csdn.net/qq_43412950/article/details/123056804
(76条消息) Windows下安装pycocotools（本人亲测，可以解决）_从现在开始壹并超的博客-CSDN博客_安装pycocotoolshttps://blog.csdn.net/m0_45971439/article/details/118332681?utm_medium=distribute.pc_relevant.none-task-blog-2~default~baidujs_baidulandingword~default-8.pc_relevant_aa&spm=1001.2101.3001.4242.5&utm_relevant_index=11
3.2.2安装成功实例
经历各种以后困难，pycocotools终于安装成功了
第四章 安装Detectron2
接下来我们安装detectron2
4.1 进行剩下的几个pip包的安装
安装hydra-core pip install hydra-core==1.1
安装pip install fvcore==0.1.5.post20220414
安装pip install omegaconf==2.1.0
接下来我们安装detectron2
4.2根据自己安装的Pytorch、CUDA版本，选择对应的 detectron2 版本安装
# CUDA 11.1
python -m pip install detectron2 -f https://dl.fbaipublicfiles.com/detectron2/wheels/cu111/torch1.9/index.html
# CUDA 10.2
python -m pip install detectron2 -f https://dl.fbaipublicfiles.com/detectron2/wheels/cu102/torch1.9/index.html
# CPU
python -m pip install detectron2 -f https://dl.fbaipublicfiles.com/detectron2/wheels/cpu/torch1.9/index.html
(76条消息) Win10下安装Detectron2，超详细教程！_zzy153的博客-CSDN博客_win10安装detectron2https://blog.csdn.net/zzy153/article/details/120693321
(76条消息) Windows10下安装detectron2超详细教程（小白视角）_小白wwj的博客-CSDN博客_detectron2 windows安装https://blog.csdn.net/weixin_42644340/article/details/109178660
首先我们下载detectron的代码
detectron2-master，代码如下，下载以后保存到E盘或者D盘，我个人是新建了一个anacondalib文件夹
https://gitcode.net/mirrors/facebookresearch/detectron2/-/archive/master/detectron2-master.ziphttps://gitcode.net/mirrors/facebookresearch/detectron2/-/archive/master/detectron2-master.zip
然后我们打开anaconda prompt激活环境
activate detectron2
cd E:\anacondalib\detectron2-master\detectron2-master
E:
此时我们已经成功激活了环境——
然后我这里是建议直接进行编译，然后根据报错来逐步解决——
4.3报错与解决
我的报错比较多
nms_rotated_cuda.cu
D:/ProgramData/Anaconda3/envs/det/lib/site-packages/torch/include\c10/util/ThreadLocalDebugInfo.h(12): warning: modifier is ignored on an enum specifier
E:/Code/open-world-ob-gym/OWOD/detectron2/layers/csrc/nms_rotated/nms_rotated_cuda.cu(14): error: name must be a namespace name
E:/Code/open-world-ob-gym/OWOD/detectron2/layers/csrc/nms_rotated/nms_rotated_cuda.cu(68): error: identifier "single_box_iou_rotated" is undefined
detected during instantiation of "void nms_rotated_cuda_kernel(int, float, const T *, unsigned long long *) [with T=double]"
(105): here
E:/Code/open-world-ob-gym/OWOD/detectron2/layers/csrc/nms_rotated/nms_rotated_cuda.cu(68): error: type name is not allowed
detected during instantiation of "void nms_rotated_cuda_kernel(int, float, const T *, unsigned long long *) [with T=double]"
(105): here
E:/Code/open-world-ob-gym/OWOD/detectron2/layers/csrc/nms_rotated/nms_rotated_cuda.cu(68): warning: expression has no effect
detected during instantiation of "void nms_rotated_cuda_kernel(int, float, const T *, unsigned long long *) [with T=double]"
(105): here
E:/Code/open-world-ob-gym/OWOD/detectron2/layers/csrc/nms_rotated/nms_rotated_cuda.cu(58): warning: variable "cur_box" was set but never used
detected during instantiation of "void nms_rotated_cuda_kernel(int, float, const T *, unsigned long long *) [with T=double]"
(105): here
E:/Code/open-world-ob-gym/OWOD/detectron2/layers/csrc/nms_rotated/nms_rotated_cuda.cu(68): error: identifier "single_box_iou_rotated" is undefined
detected during instantiation of "void nms_rotated_cuda_kernel(int, float, const T *, unsigned long long *) [with T=float]"
(105): here
E:/Code/open-world-ob-gym/OWOD/detectron2/layers/csrc/nms_rotated/nms_rotated_cuda.cu(68): error: type name is not allowed
detected during instantiation of "void nms_rotated_cuda_kernel(int, float, const T *, unsigned long long *) [with T=float]"
(105): here
E:/Code/open-world-ob-gym/OWOD/detectron2/layers/csrc/nms_rotated/nms_rotated_cuda.cu(68): warning: expression has no effect
detected during instantiation of "void nms_rotated_cuda_kernel(int, float, const T *, unsigned long long *) [with T=float]"
(105): here
E:/Code/open-world-ob-gym/OWOD/detectron2/layers/csrc/nms_rotated/nms_rotated_cuda.cu(58): warning: variable "cur_box" was set but never used
detected during instantiation of "void nms_rotated_cuda_kernel(int, float, const T *, unsigned long long *) [with T=float]"
(105): here
5 errors detected in the compilation of "C:/Users/miclo/AppData/Local/Temp/tmpxft_00000c50_00000000-7_nms_rotated_cuda.cpp1.ii".
error: command 'C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v10.1\\bin\\nvcc.exe' failed with exit status 1可以参考一下博客内容
Window11 安装detectron2记录贴_Easy.miclover的博客-CSDN博客python setup.py build --force develop出现报错：ir.h(1347): error: member "torch::jit::ProfileOptionalOp::Kind" may not be initialized查阅了许多博客的解决办法就是定位到指定位置，注释掉这一句话但是，接下来编译又出现了好多问题：nms_rotated_cuda.cuD:/ProgramData/Anaconda3/envs/det/lib/site-pac..https://blog.csdn.net/miclover_feng/article/details/121693379?ops_request_misc=&request_id=&biz_id=102&utm_term=nms_rotated_cuda.cu(68):%20error&utm_medium=distribute.pc_search_result.none-task-blog-2~all~sobaiduweb~default-1-121693379.142%5Ev9%5Epc_search_result_control_group,157%5Ev4%5Econtrol&spm=1018.2226.3001.4187这位博主的博客写的非常好，其中的LF可以不必添加，原因参考这篇
win10下detectron2编译安装方法及问题汇总_三毛的二哥的博客-CSDN博客_windows 编译detectron2环境硬件硬件：CPU：Intel®Core™i5-10400F CPU @2.90GHz 2.90GHzGPU: NVIDIA GeForce GTX 1660 Ti （6G显存）内存：16.0GB(15.9GB可用)软件：Visual Studio 2019CUDA10.1，cudnnAnaconda3torch 1.6.0+cu101torchvision 0.7.0+cu101python=3.8.0detectron2准备工作Anaconda3,Visual Studhttps://blog.csdn.net/lishiyu93/article/details/116459114?ops_request_misc=&request_id=&biz_id=102&utm_term=nms_rotated_cuda.cu(13):%20error&utm_medium=distribute.pc_search_result.none-task-blog-2~all~sobaiduweb~default-0-116459114.142%5Ev9%5Epc_search_result_control_group,157%5Ev4%5Econtrol&spm=1018.2226.3001.4187然后我解决完报错以后成功安装
Anaconda Prompt输入conda list成功安装
顺便看一下 pycocotools版本为2.0.2
祝大家都可以成功安装，一起加油