Pycharm+OpenCv的Python环境搭建 - Anaconda环境失败解决方案 - 实践
作者:互联网
前言:
机器视觉,构建Pycharm+OpenCv的环境时候,有可能遭遇版本和环境安装的问题。【这个问题,发生了很多次,然后,每次都要花一点时间搞一下,本文,以遇到的问题为思路,从实现的目标、步骤、资源、角度,总结和实践了一下】
小结:【附思维图】
笔者实际应用时候,最主要的遇到的问题是:1个是“python与opencv-python的版本必须要对应”,2个是在Pycharm上构建pytyhon-opencv的环境以便以运行代码 3个是检验的方法和运行opencv代码以确定环境搭建的正确性。正如本节所述。本节比较全面的阐述了版本的配置和检验的方法和遇到的问题的解决。
阐述:
opencv 的python包需要和系统的python版本一致,才能构建环境:
- 首先查找安装的系统python的版本:【在本文1.1小结有介绍】
- 然后,找到对应的opencv-python:本文【Opencv-python资源和选择】小结介绍里面有如何找到对应的版本问题
- 接着就是用Anaconda配置好opencv的环境,并在里面安装opencv
- 最后就是运行:
目标:
1 在Pycharm安装Opencv算法工具
步骤:
1.1 查找已经安装的Python工具包:
英文版:
Setting\Python Interpreter\设定OpenCV的版本:
--------------------------------------------------------------------------------------------------------------
1.2 利用系统自己查找兼容的版本:
在Python Interpreter里面,查询一下,
Pycharm会自动列出当前Python版本的兼容的opencv的版本
【案,同时给出了地址】
目标2,在Pycharm上安装opencv的环境
2.1 Anaconda介绍、安装及使用教程
Anaconda(官方网站)就是可以便捷获取包且对包能够进行管理,同时对环境可以统一管理的发行版本。Anaconda包含了conda、Python在内的超过180个科学包及其依赖项。
上图来自:Anaconda介绍、安装及使用教程 - 知乎 (zhihu.com)https://zhuanlan.zhihu.com/p/32925500
2.2 Anaconda的基础命令和环境查看
- 查看所有的虚拟环境
D:\>conda info -e
# conda environments:
#
base * D:\ProgramData\Anaconda3
- 进入到该虚拟环境中
activate -name(虚拟环境名字)
2.3 实践-查询并安装环境:
D:\>conda info -e
# conda environments:
#
base * D:\ProgramData\Anaconda3
查询,系统一开始,只有conda的基础安装,没有配置环境,
D:\>conda create --name py39 python=3.9
构建一个名称为py39的,python 3.9版本的python环境:
这里【--name】也可以用【-n】来代替
正确的输出如下:
Collecting package metadata (current_repodata.json): done
Solving environment: done## Package Plan ##
environment location: D:\ProgramData\Anaconda3\envs\py39
added / updated specs:
- python=3.9
The following packages will be downloaded:package | build
---------------------------|-----------------
ca-certificates-2022.2.1 | haa95532_0 123 KB defaults
certifi-2021.10.8 | py39haa95532_2 152 KB defaults
openssl-1.1.1m | h2bbff1b_0 4.8 MB defaults
pip-21.2.4 | py39haa95532_0 1.8 MB defaults
python-3.9.7 | h6244533_1 16.5 MB defaults
setuptools-58.0.4 | py39haa95532_0 778 KB defaults
sqlite-3.38.0 | h2bbff1b_0 807 KB defaults
tzdata-2021e | hda174b7_0 112 KB defaults
vc-14.2 | h21ff451_1 8 KB defaults
vs2015_runtime-14.27.29016 | h5e58377_2 1007 KB defaults
wheel-0.37.1 | pyhd3eb1b0_0 33 KB defaults
wincertstore-0.2 | py39haa95532_2 15 KB defaults
------------------------------------------------------------
Total: 26.1 MBThe following NEW packages will be INSTALLED:
ca-certificates anaconda/pkgs/main/win-64::ca-certificates-2022.2.1-haa95532_0
certifi anaconda/pkgs/main/win-64::certifi-2021.10.8-py39haa95532_2
openssl anaconda/pkgs/main/win-64::openssl-1.1.1m-h2bbff1b_0
pip anaconda/pkgs/main/win-64::pip-21.2.4-py39haa95532_0
python anaconda/pkgs/main/win-64::python-3.9.7-h6244533_1
setuptools anaconda/pkgs/main/win-64::setuptools-58.0.4-py39haa95532_0
sqlite anaconda/pkgs/main/win-64::sqlite-3.38.0-h2bbff1b_0
tzdata anaconda/pkgs/main/noarch::tzdata-2021e-hda174b7_0
vc anaconda/pkgs/main/win-64::vc-14.2-h21ff451_1
vs2015_runtime anaconda/pkgs/main/win-64::vs2015_runtime-14.27.29016-h5e58377_2
wheel anaconda/pkgs/main/noarch::wheel-0.37.1-pyhd3eb1b0_0
wincertstore anaconda/pkgs/main/win-64::wincertstore-0.2-py39haa95532_2
Proceed ([y]/n)? y
Downloading and Extracting Packages
openssl-1.1.1m | 4.8 MB | ################################################################################################################ | 100%
setuptools-58.0.4 | 778 KB | ################################################################################################################ | 100%
vc-14.2 | 8 KB | ################################################################################################################ | 100%
ca-certificates-2022 | 123 KB | ################################################################################################################ | 100%
pip-21.2.4 | 1.8 MB | ################################################################################################################ | 100%
vs2015_runtime-14.27 | 1007 KB | ################################################################################################################ | 100%
wincertstore-0.2 | 15 KB | ################################################################################################################ | 100%
certifi-2021.10.8 | 152 KB | ################################################################################################################ | 100%
tzdata-2021e | 112 KB | ################################################################################################################ | 100%
sqlite-3.38.0 | 807 KB | ################################################################################################################ | 100%
wheel-0.37.1 | 33 KB | ################################################################################################################ | 100%
python-3.9.7 | 16.5 MB | ################################################################################################################ | 100%
Preparing transaction: done
Verifying transaction: done
Executing transaction: |
done
#
# To activate this environment, use
#
# $ conda activate py39
#
# To deactivate an active environment, use
#
# $ conda deactivate
我们再确认一下:【他的输出,已经提示我们的后续操作了】
D:\BaiduNetdiskWorkspace\3DStructure\MonoCalibration>conda info -e
# conda environments:
#
base * D:\ProgramData\Anaconda3
py39 D:\ProgramData\Anaconda3\envs\py39
这时候,环境搭建就成功了。
2.4 实践-使能环境并安装opencv:
然后,我们使能这个环境,并在这个环境安装opencv,
D:\>activate py39
(py39) D:\>conda info -e
# conda environments:
#
base D:\ProgramData\Anaconda3
py39 * D:\ProgramData\Anaconda3\envs\py39
[案, 成功构建环境后,在命令行前面会出现环境名称,例如py39】
(py39) D:\>conda activate py39
在这里,我们安装一下opencv
(py39) D:\>conda install opencv
正确的结果如下:
Collecting package metadata (current_repodata.json): done
Solving environment: failed with initial frozen solve. Retrying with flexible solve.
Solving environment: failed with repodata from current_repodata.json, will retry with next repodata source.
Collecting package metadata (repodata.json): done
Solving environment: done## Package Plan ##
environment location: D:\ProgramData\Anaconda3\envs\py39
added / updated specs:
- opencv
The following packages will be downloaded:package | build
---------------------------|-----------------
blas-1.0 | mkl 6 KB defaults
eigen-3.3.7 | h59b6b97_1 831 KB defaults
glib-2.69.1 | h5dc1a3c_1 1.6 MB defaults
gst-plugins-base-1.18.5 | h9e645db_0 1.7 MB defaults
gstreamer-1.18.5 | hd78058f_0 1.7 MB defaults
hdf5-1.10.6 | h7ebc959_0 7.9 MB defaults
icc_rt-2019.0.0 | h0cc432a_1 6.0 MB defaults
icu-58.2 | ha925a31_3 9.4 MB defaults
intel-openmp-2021.4.0 | haa95532_3556 2.2 MB defaults
jpeg-9d | h2bbff1b_0 283 KB defaults
libffi-3.4.2 | h604cdb4_1 43 KB defaults
libiconv-1.15 | h1df5818_7 626 KB defaults
libogg-1.3.5 | h2bbff1b_1 33 KB defaults
libpng-1.6.37 | h2a8f88b_0 333 KB defaults
libprotobuf-3.5.1 | he0781b1_0 1.6 MB defaults
libtiff-4.2.0 | hd0e1b90_0 786 KB defaults
libvorbis-1.3.7 | he774522_0 202 KB defaults
libwebp-base-1.2.2 | h2bbff1b_0 304 KB defaults
lz4-c-1.9.3 | h2bbff1b_1 132 KB defaults
mkl-2021.4.0 | haa95532_640 114.9 MB defaults
mkl-service-2.4.0 | py39h2bbff1b_0 51 KB defaults
mkl_fft-1.3.1 | py39h277e83a_0 139 KB defaults
mkl_random-1.2.2 | py39hf11a4ad_0 225 KB defaults
numpy-1.16.6 | py39ha4e8547_3 51 KB defaults
numpy-base-1.16.6 | py39h5bb6eb2_3 3.3 MB defaults
opencv-4.5.4 | py39h4fe8980_1 23.7 MB defaults
pcre-8.45 | hd77b12b_0 382 KB defaults
qt-5.9.7 | vc14h73c81de_0 72.5 MB defaults
six-1.16.0 | pyhd3eb1b0_1 18 KB defaults
xz-5.2.5 | h62dcd97_0 244 KB defaults
zlib-1.2.11 | h8cc25b3_4 112 KB defaults
zstd-1.4.9 | h19a0ad4_0 478 KB defaults
------------------------------------------------------------
Total: 251.7 MBThe following NEW packages will be INSTALLED:
blas anaconda/pkgs/main/win-64::blas-1.0-mkl
eigen anaconda/pkgs/main/win-64::eigen-3.3.7-h59b6b97_1
glib anaconda/pkgs/main/win-64::glib-2.69.1-h5dc1a3c_1
gst-plugins-base anaconda/pkgs/main/win-64::gst-plugins-base-1.18.5-h9e645db_0
gstreamer anaconda/pkgs/main/win-64::gstreamer-1.18.5-hd78058f_0
hdf5 anaconda/pkgs/main/win-64::hdf5-1.10.6-h7ebc959_0
icc_rt anaconda/pkgs/main/win-64::icc_rt-2019.0.0-h0cc432a_1
icu anaconda/pkgs/main/win-64::icu-58.2-ha925a31_3
intel-openmp anaconda/pkgs/main/win-64::intel-openmp-2021.4.0-haa95532_3556
jpeg anaconda/pkgs/main/win-64::jpeg-9d-h2bbff1b_0
libffi anaconda/pkgs/main/win-64::libffi-3.4.2-h604cdb4_1
libiconv anaconda/pkgs/main/win-64::libiconv-1.15-h1df5818_7
libogg anaconda/pkgs/main/win-64::libogg-1.3.5-h2bbff1b_1
libpng anaconda/pkgs/main/win-64::libpng-1.6.37-h2a8f88b_0
libprotobuf anaconda/pkgs/main/win-64::libprotobuf-3.5.1-he0781b1_0
libtiff anaconda/pkgs/main/win-64::libtiff-4.2.0-hd0e1b90_0
libvorbis anaconda/pkgs/main/win-64::libvorbis-1.3.7-he774522_0
libwebp-base anaconda/pkgs/main/win-64::libwebp-base-1.2.2-h2bbff1b_0
lz4-c anaconda/pkgs/main/win-64::lz4-c-1.9.3-h2bbff1b_1
mkl anaconda/pkgs/main/win-64::mkl-2021.4.0-haa95532_640
mkl-service anaconda/pkgs/main/win-64::mkl-service-2.4.0-py39h2bbff1b_0
mkl_fft anaconda/pkgs/main/win-64::mkl_fft-1.3.1-py39h277e83a_0
mkl_random anaconda/pkgs/main/win-64::mkl_random-1.2.2-py39hf11a4ad_0
numpy anaconda/pkgs/main/win-64::numpy-1.16.6-py39ha4e8547_3
numpy-base anaconda/pkgs/main/win-64::numpy-base-1.16.6-py39h5bb6eb2_3
opencv anaconda/pkgs/main/win-64::opencv-4.5.4-py39h4fe8980_1
pcre anaconda/pkgs/main/win-64::pcre-8.45-hd77b12b_0
qt anaconda/pkgs/main/win-64::qt-5.9.7-vc14h73c81de_0
six anaconda/pkgs/main/noarch::six-1.16.0-pyhd3eb1b0_1
xz anaconda/pkgs/main/win-64::xz-5.2.5-h62dcd97_0
zlib anaconda/pkgs/main/win-64::zlib-1.2.11-h8cc25b3_4
zstd anaconda/pkgs/main/win-64::zstd-1.4.9-h19a0ad4_0
Proceed ([y]/n)? y
Downloading and Extracting Packages
hdf5-1.10.6 | 7.9 MB | ################################################################################################################ | 100%
opencv-4.5.4 | 23.7 MB | ################################################################################################################ | 100%
libtiff-4.2.0 | 786 KB | ################################################################################################################ | 100%
libiconv-1.15 | 626 KB | ################################################################################################################ | 100%
numpy-base-1.16.6 | 3.3 MB | ################################################################################################################ | 100%
mkl-service-2.4.0 | 51 KB | ################################################################################################################ | 100%
xz-5.2.5 | 244 KB | ################################################################################################################ | 100%
zstd-1.4.9 | 478 KB | ################################################################################################################ | 100%
intel-openmp-2021.4. | 2.2 MB | ################################################################################################################ | 100%
libprotobuf-3.5.1 | 1.6 MB | ################################################################################################################ | 100%
lz4-c-1.9.3 | 132 KB | ################################################################################################################ | 100%
eigen-3.3.7 | 831 KB | ################################################################################################################ | 100%
libvorbis-1.3.7 | 202 KB | ################################################################################################################ | 100%
libpng-1.6.37 | 333 KB | ################################################################################################################ | 100%
six-1.16.0 | 18 KB | ################################################################################################################ | 100%
gst-plugins-base-1.1 | 1.7 MB | ################################################################################################################ | 100%
numpy-1.16.6 | 51 KB | ################################################################################################################ | 100%
libogg-1.3.5 | 33 KB | ################################################################################################################ | 100%
zlib-1.2.11 | 112 KB | ################################################################################################################ | 100%
libffi-3.4.2 | 43 KB | ################################################################################################################ | 100%
blas-1.0 | 6 KB | ################################################################################################################ | 100%
mkl_random-1.2.2 | 225 KB | ################################################################################################################ | 100%
icc_rt-2019.0.0 | 6.0 MB | ################################################################################################################ | 100%
qt-5.9.7 | 72.5 MB | ################################################################################################################ | 100%
pcre-8.45 | 382 KB | ################################################################################################################ | 100%
icu-58.2 | 9.4 MB | ################################################################################################################ | 100%
jpeg-9d | 283 KB | ################################################################################################################ | 100%
mkl-2021.4.0 | 114.9 MB | ################################################################################################################ | 100%
libwebp-base-1.2.2 | 304 KB | ################################################################################################################ | 100%
mkl_fft-1.3.1 | 139 KB | ################################################################################################################ | 100%
gstreamer-1.18.5 | 1.7 MB | ################################################################################################################ | 100%
glib-2.69.1 | 1.6 MB | ################################################################################################################ | 100%
Preparing transaction: done
Verifying transaction: done
Executing transaction: \
done
【案,其实环境搭建时候,可能遇到不少问题,请参考本章问题小节,有叙述,为了保证博文的思路连续,我这里就略过了】
【案,这里就完成了Opencv的配置】
类似的步骤,安装:
matplotlib
2022/3/21
10:49 Packages installed successfully: Installed packages: 'matplotlib'
3 在pycharm上运行opencv的程序和库
import cv2
import matplotlib.pylab as plt
遇到的问题:
【案,本节提到所有笔者遇到的问题,如果读者没有遇到,可以直接跳过】
1 Conda 创建环境失败:
-
1.1 源的问题,无法访问服务器:
系统已经安装了Anaconda3,然后,想创建一个opencv的python环境,用conda构建一个py36的环境出错如下:
D:\>conda create --name py36 python=3.6
Collecting package metadata (current_repodata.json): failedCondaHTTPError: HTTP 000 CONNECTION FAILED for url <https://repo.anaconda.com/pkgs/main/win-64/current_repodata.json>
Elapsed: -An HTTP error occurred when trying to retrieve this URL.
HTTP errors are often intermittent, and a simple retry will get you on your way.If your current network has https://www.anaconda.com blocked, please file
a support request with your network engineering team.SSLError(MaxRetryError('HTTPSConnectionPool(host=\'repo.anaconda.com\', port=443): Max retries exceeded with url: /pkgs/main/win-64/current_repodata.json (C
aused by SSLError("Can\'t connect to HTTPS URL becausSSLError(MaxRetryError('HTTPSConnectionPool(host=\'repo.anaconda.com\', port=443): Max retries exceeded
SSLError(MaxRetryError('HTTPSConnectionPool(host=\'repo.anaconda.com\', port=443): Max retries exceeded with url: /pkgs/main/win-64/current_repodata.json (Caused by SSLError("Can\'t connect to HTTPS URL because the SSL module is not available."))'))
【解决办法】:
【参考】
anaconda | 镜像站使用帮助 | 清华大学开源软件镜像站 | Tsinghua Open Source Mirror
步骤1:创建【.condarc】文件
在Pycharm中,【Terminal】中执行下面的命令:
conda config --set show_channel_urls yes
将自动生成.condarc文件:
步骤2:修改这个文件:
先打开之前的设置看一下:
ssl_verify: true
channels:
- https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main/
- https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/
show_channel_urls: true
【这是之前按照网上一些配置做的】
现在,清华网站给出的推荐设置如下:
channels: - defaults show_channel_urls: true default_channels: - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/r - 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 pytorch-lts: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud simpleitk: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
把推荐值设定到配置文件,.condarc里面:
-
1.2 SSLError的问题:
D:\>conda create --name py39 python=3.9
Collecting package metadata (current_repodata.json): failedCondaHTTPError: HTTP 000 CONNECTION FAILED for url <https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/win-64/current_repodata.json>
Elapsed: -An HTTP error occurred when trying to retrieve this URL.
HTTP errors are often intermittent, and a simple retry will get you on your way.
SSLError(MaxRetryError('HTTPSConnectionPool(host=\'mirrors.tuna.tsinghua.edu.cn\', port=443): Max retries exceeded with url: /anaconda/pkgs/free/win-64/current_repodata.json (Caused by SSLError("Can\'t connect to HTTPS URL because the SSL module is not available."))'))
【解决办法】
去网站:
【案,笔者下载了最新版本后】
选择了MSI的安装包,直接安装到默认的路径下面。【安装过程,遇到windows的安全阻拦,这个解决相信大家都会处理,略过了】
参考:
win10安装OpenSSL及简单的使用 - 丁双磊 - 博客园 (cnblogs.com)https://www.cnblogs.com/dingshuanglei/p/10237710.html下载地址如下:
2 问题:Shell 没有初始化:
D:\>conda activate py39
CommandNotFoundError: Your shell has not been properly configured to use 'conda activate'.
If using 'conda activate' from a batch script, change your
invocation to 'CALL conda.bat activate'.To initialize your shell, run
$ conda init <SHELL_NAME>
Currently supported shells are:
- bash
- cmd.exe
- fish
- tcsh
- xonsh
- zsh
- powershellSee 'conda init --help' for more information and options.
IMPORTANT: You may need to close and restart your shell after running 'conda init'.
参考:
------------------------------------------------------------------------------
2 PIP 版本太低:
D:\>pip install opencv-python= =3.1.2
WARNING: Ignoring invalid distribution -ip (d:\programs\python\python39\lib\site-packages)
ERROR: Invalid requirement: 'opencv-python='
Hint: = is not a valid operator. Did you mean == ?
You should consider upgrading via the 'd:\programs\python\python39\python.exe -m pip install --upgrade pip' command.
解决办法,直接按照他提示办。
原因:
1 python与opencv-python的版本必须要对应
2 默认资源地址无法访问
【由于某些原因,Anaconda的默认的访问地址比较慢,或者受限,至少我理解这样,有两种方法,一种就是找到快的网址,手动下,一种就是配置到快的网址,下面就是配到快网址的方法】
2.1 通过Anaconda GUI设置到可以访问的清华资源地址:
打开【Anaconda】
选择【Enviroments】
【案】点击【Channel】
【注意:有时候,点击channel并不会弹出默认的下载连接的访问地址对话框,需要重启一下】
删除这个没用用的默认值,加入,清华的下载镜像
Index of /anaconda/pkgs/free/ | 清华大学开源软件镜像站 | Tsinghua Open Source Mirror
然后,点击【Add】,加入【Index of /anaconda/pkgs/free/ | 清华大学开源软件镜像站 | Tsinghua Open Source Mirror】
然后,我们可以增加其他可以下载的镜像服务器地址:
【案,亲测,可以加到服务器镜像列表的清华地址如下:】
Index of /anaconda/pkgs/free/ | 清华大学开源软件镜像站 | Tsinghua Open Source Mirror
Index of /anaconda/pkgs/main/ | 清华大学开源软件镜像站 | Tsinghua Open Source Mirror
---------------------------------------------------------------------------------------------------------------------
当然,也有可能遇到问题,系统自己会甄别。
【案,这个不行啊。。。】
2.2 通过Anaconda 命令行设置到可以访问的清华资源地址:
conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/
conda config --set show_channel_urls yes
Opencv-python资源和选择:
1 opencv-python各版本对应下载地址【清华】
Links for opencv-python (tsinghua.edu.cn)https://pypi.tuna.tsinghua.edu.cn/simple/opencv-python/
2 opencv-python各版本对应下载地址【UCI】
3 github上的opencv的资源:
- OpenCV: a real time computer vision library.
- opencv_python_headless‑4.5.4+dummy‑py3‑none‑any.whl
- opencv_python‑4.5.5‑pp38‑pypy38_pp73‑win_amd64.whl
- opencv_python‑4.5.5‑cp310‑cp310‑win_amd64.whl
- opencv_python‑4.5.5‑cp310‑cp310‑win32.whl
- opencv_python‑4.5.5‑cp39‑cp39‑win_amd64.whl
- opencv_python‑4.5.5‑cp39‑cp39‑win32.whl
- opencv_python‑4.5.5‑cp38‑cp38‑win_amd64.whl
- opencv_python‑4.5.5‑cp38‑cp38‑win32.whl
- opencv_python‑4.5.5‑cp37‑cp37m‑win_amd64.whl
- opencv_python‑4.5.5‑cp37‑cp37m‑win32.whl
- opencv_python‑4.5.5+mkl‑cp310‑cp310‑win_amd64.whl
- opencv_python‑4.5.5+mkl‑cp39‑cp39‑win_amd64.whl
- opencv_python‑4.5.5+mkl‑cp38‑cp38‑win_amd64.whl
- opencv_python‑4.5.5+mkl‑cp37‑cp37m‑win_amd64.whl
- opencv_python‑4.4.0‑cp36‑cp36m‑win_amd64.whl
- opencv_python‑4.4.0‑cp36‑cp36m‑win32.whl
- opencv_python‑4.1.2‑cp35‑cp35m‑win_amd64.whl
- opencv_python‑4.1.2‑cp35‑cp35m‑win32.whl
- opencv_python‑4.1.2+contrib‑cp35‑cp35m‑win_amd64.whl
- opencv_python‑4.1.2+contrib‑cp35‑cp35m‑win32.whl
- opencv_python‑3.1.0‑cp34‑cp34m‑win_amd64.whl
- opencv_python‑3.1.0‑cp34‑cp34m‑win32.whl
- opencv_python‑2.4.13.7‑cp27‑cp27m‑win_amd64.whl
- opencv_python‑2.4.13.7‑cp27‑cp27m‑win32.whl
- opencv_contrib_python_headless‑4.5.4+dummy‑py3‑none‑any.whl
UCI,只有部分,没有清华的全。
2 资源的选择方法:
附件的清华下载列表框里面,版本都用了一些缩略的字符,他们的大致意义如下:
opencv-python-【opencv的版本】-cp**【对应的python版本】-【对应的编译操作系统】
- cp**
cp表述 opencv-python 支持的python版本号,比如:cp39,对应的python3.9
- win_amd64 表示windows 64位系统
附件:资源列表
-
anaconda 的Pkgs镜像
- Index of /anaconda/pkgs/free/ | 清华大学开源软件镜像站 | Tsinghua Open Source Mirrorhttps://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/
Index of /anaconda/pkgs/free/ | 清华大学开源软件镜像站 | Tsinghua Open Source Mirror
-
opencv-python 安装包镜像
Links for opencv-python
opencv-python-3.4.0.14.tar.gz
opencv-python-3.4.10.37.tar.gz
opencv-python-3.4.11.39.tar.gz
opencv-python-3.4.11.41.tar.gz
opencv-python-3.4.11.43.tar.gz
opencv-python-3.4.11.45.tar.gz
opencv-python-3.4.13.47.tar.gz
opencv-python-3.4.15.55.tar.gz
opencv-python-3.4.16.57.tar.gz
opencv-python-3.4.16.59.tar.gz
opencv-python-3.4.17.61.tar.gz
opencv-python-3.4.17.63.tar.gz
opencv-python-4.3.0.38.tar.gz
opencv-python-4.4.0.40.tar.gz
opencv-python-4.4.0.42.tar.gz
opencv-python-4.4.0.44.tar.gz
opencv-python-4.4.0.46.tar.gz
opencv-python-4.5.1.48.tar.gz
opencv-python-4.5.3.56.tar.gz
opencv-python-4.5.4.58.tar.gz
opencv-python-4.5.4.60.tar.gz
opencv-python-4.5.5.62.tar.gz
opencv-python-4.5.5.64.tar.gz
opencv_python-3.1.0.0-cp27-cp27m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl
opencv_python-3.1.0.0-cp27-cp27m-manylinux1_i686.whl
opencv_python-3.1.0.0-cp27-cp27m-manylinux1_x86_64.whl
opencv_python-3.1.0.0-cp27-cp27m-win32.whl
opencv_python-3.1.0.0-cp27-cp27m-win_amd64.whl
opencv_python-3.1.0.0-cp27-cp27mu-manylinux1_i686.whl
opencv_python-3.1.0.0-cp27-cp27mu-manylinux1_x86_64.whl
opencv_python-3.1.0.0-cp33-cp33m-manylinux1_i686.whl
opencv_python-3.1.0.0-cp33-cp33m-manylinux1_x86_64.whl
opencv_python-3.1.0.0-cp34-cp34m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl
opencv_python-3.1.0.0-cp34-cp34m-manylinux1_i686.whl
opencv_python-3.1.0.0-cp34-cp34m-manylinux1_x86_64.whl
opencv_python-3.1.0.0-cp35-cp35m-manylinux1_i686.whl
opencv_python-3.1.0.0-cp35-cp35m-manylinux1_x86_64.whl
opencv_python-3.1.0.0-cp35-cp35m-win32.whl
opencv_python-3.1.0.0-cp35-cp35m-win_amd64.whl
opencv_python-3.1.0.5-cp27-cp27m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl
opencv_python-3.1.0.5-cp27-cp27m-manylinux1_i686.whl
opencv_python-3.1.0.5-cp27-cp27m-manylinux1_x86_64.whl
opencv_python-3.1.0.5-cp27-cp27m-win32.whl
opencv_python-3.1.0.5-cp27-cp27m-win_amd64.whl
opencv_python-3.1.0.5-cp27-cp27mu-manylinux1_i686.whl
opencv_python-3.1.0.5-cp27-cp27mu-manylinux1_x86_64.whl
opencv_python-3.1.0.5-cp33-cp33m-manylinux1_i686.whl
opencv_python-3.1.0.5-cp33-cp33m-manylinux1_x86_64.whl
opencv_python-3.1.0.5-cp34-cp34m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl
opencv_python-3.1.0.5-cp34-cp34m-manylinux1_i686.whl
opencv_python-3.1.0.5-cp34-cp34m-manylinux1_x86_64.whl
opencv_python-3.1.0.5-cp34-cp34m-win32.whl
opencv_python-3.1.0.5-cp34-cp34m-win_amd64.whl
opencv_python-3.1.0.5-cp35-cp35m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl
opencv_python-3.1.0.5-cp35-cp35m-manylinux1_i686.whl
opencv_python-3.1.0.5-cp35-cp35m-manylinux1_x86_64.whl
opencv_python-3.1.0.5-cp35-cp35m-win32.whl
opencv_python-3.1.0.5-cp35-cp35m-win_amd64.whl
opencv_python-3.1.0.5-cp36-cp36m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl
opencv_python-3.1.0.5-cp36-cp36m-manylinux1_i686.whl
opencv_python-3.1.0.5-cp36-cp36m-manylinux1_x86_64.whl
opencv_python-3.1.0.5-cp36-cp36m-win32.whl
opencv_python-3.1.0.5-cp36-cp36m-win_amd64.whl
opencv_python-3.2.0.6-cp27-cp27m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl
opencv_python-3.2.0.6-cp27-cp27m-manylinux1_i686.whl
opencv_python-3.2.0.6-cp27-cp27m-manylinux1_x86_64.whl
opencv_python-3.2.0.6-cp27-cp27m-win32.whl
opencv_python-3.2.0.6-cp27-cp27m-win_amd64.whl
opencv_python-3.2.0.6-cp27-cp27mu-manylinux1_i686.whl
opencv_python-3.2.0.6-cp27-cp27mu-manylinux1_x86_64.whl
opencv_python-3.2.0.6-cp34-cp34m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl
opencv_python-3.2.0.6-cp34-cp34m-manylinux1_i686.whl
opencv_python-3.2.0.6-cp34-cp34m-manylinux1_x86_64.whl
opencv_python-3.2.0.6-cp34-cp34m-win32.whl
opencv_python-3.2.0.6-cp34-cp34m-win_amd64.whl
opencv_python-3.2.0.6-cp35-cp35m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl
opencv_python-3.2.0.6-cp35-cp35m-manylinux1_i686.whl
opencv_python-3.2.0.6-cp35-cp35m-manylinux1_x86_64.whl
opencv_python-3.2.0.6-cp35-cp35m-win32.whl
opencv_python-3.2.0.6-cp35-cp35m-win_amd64.whl
opencv_python-3.2.0.6-cp36-cp36m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl
opencv_python-3.2.0.6-cp36-cp36m-manylinux1_i686.whl
opencv_python-3.2.0.6-cp36-cp36m-manylinux1_x86_64.whl
opencv_python-3.2.0.6-cp36-cp36m-win32.whl
opencv_python-3.2.0.6-cp36-cp36m-win_amd64.whl
opencv_python-3.2.0.7-cp27-cp27m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl
opencv_python-3.2.0.7-cp27-cp27m-manylinux1_i686.whl
opencv_python-3.2.0.7-cp27-cp27m-manylinux1_x86_64.whl
opencv_python-3.2.0.7-cp27-cp27m-win32.whl
opencv_python-3.2.0.7-cp27-cp27m-win_amd64.whl
opencv_python-3.2.0.7-cp27-cp27mu-manylinux1_i686.whl
opencv_python-3.2.0.7-cp27-cp27mu-manylinux1_x86_64.whl
opencv_python-3.2.0.7-cp34-cp34m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl
opencv_python-3.2.0.7-cp34-cp34m-manylinux1_i686.whl
opencv_python-3.2.0.7-cp34-cp34m-manylinux1_x86_64.whl
opencv_python-3.2.0.7-cp34-cp34m-win32.whl
opencv_python-3.2.0.7-cp34-cp34m-win_amd64.whl
opencv_python-3.2.0.7-cp35-cp35m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl
opencv_python-3.2.0.7-cp35-cp35m-manylinux1_i686.whl
opencv_python-3.2.0.7-cp35-cp35m-manylinux1_x86_64.whl
opencv_python-3.2.0.7-cp35-cp35m-win32.whl
opencv_python-3.2.0.7-cp35-cp35m-win_amd64.whl
opencv_python-3.2.0.7-cp36-cp36m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl
opencv_python-3.2.0.7-cp36-cp36m-manylinux1_i686.whl
opencv_python-3.2.0.7-cp36-cp36m-manylinux1_x86_64.whl
opencv_python-3.2.0.7-cp36-cp36m-win32.whl
opencv_python-3.2.0.7-cp36-cp36m-win_amd64.whl
opencv_python-3.2.0.8-cp27-cp27m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl
opencv_python-3.2.0.8-cp27-cp27m-manylinux1_i686.whl
opencv_python-3.2.0.8-cp27-cp27m-manylinux1_x86_64.whl
opencv_python-3.2.0.8-cp27-cp27m-win32.whl
opencv_python-3.2.0.8-cp27-cp27m-win_amd64.whl
opencv_python-3.2.0.8-cp27-cp27mu-manylinux1_i686.whl
opencv_python-3.2.0.8-cp27-cp27mu-manylinux1_x86_64.whl
opencv_python-3.2.0.8-cp34-cp34m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl
opencv_python-3.2.0.8-cp34-cp34m-manylinux1_i686.whl
opencv_python-3.2.0.8-cp34-cp34m-manylinux1_x86_64.whl
opencv_python-3.2.0.8-cp34-cp34m-win32.whl
opencv_python-3.2.0.8-cp34-cp34m-win_amd64.whl
opencv_python-3.2.0.8-cp35-cp35m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl
opencv_python-3.2.0.8-cp35-cp35m-manylinux1_i686.whl
opencv_python-3.2.0.8-cp35-cp35m-manylinux1_x86_64.whl
opencv_python-3.2.0.8-cp35-cp35m-win32.whl
opencv_python-3.2.0.8-cp35-cp35m-win_amd64.whl
opencv_python-3.2.0.8-cp36-cp36m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl
opencv_python-3.2.0.8-cp36-cp36m-manylinux1_i686.whl
opencv_python-3.2.0.8-cp36-cp36m-manylinux1_x86_64.whl
opencv_python-3.2.0.8-cp36-cp36m-win32.whl
opencv_python-3.2.0.8-cp36-cp36m-win_amd64.whl
opencv_python-3.3.0.10-cp27-cp27m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl
opencv_python-3.3.0.10-cp27-cp27m-manylinux1_i686.whl
opencv_python-3.3.0.10-cp27-cp27m-manylinux1_x86_64.whl
opencv_python-3.3.0.10-cp27-cp27m-win32.whl
opencv_python-3.3.0.10-cp27-cp27m-win_amd64.whl
opencv_python-3.3.0.10-cp27-cp27mu-manylinux1_i686.whl
opencv_python-3.3.0.10-cp27-cp27mu-manylinux1_x86_64.whl
opencv_python-3.3.0.10-cp34-cp34m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl
opencv_python-3.3.0.10-cp34-cp34m-manylinux1_i686.whl
opencv_python-3.3.0.10-cp34-cp34m-manylinux1_x86_64.whl
opencv_python-3.3.0.10-cp34-cp34m-win32.whl
opencv_python-3.3.0.10-cp34-cp34m-win_amd64.whl
opencv_python-3.3.0.10-cp35-cp35m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl
opencv_python-3.3.0.10-cp35-cp35m-manylinux1_i686.whl
opencv_python-3.3.0.10-cp35-cp35m-manylinux1_x86_64.whl
opencv_python-3.3.0.10-cp35-cp35m-win32.whl
opencv_python-3.3.0.10-cp35-cp35m-win_amd64.whl
opencv_python-3.3.0.10-cp36-cp36m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl
opencv_python-3.3.0.10-cp36-cp36m-manylinux1_i686.whl
opencv_python-3.3.0.10-cp36-cp36m-manylinux1_x86_64.whl
opencv_python-3.3.0.10-cp36-cp36m-win32.whl
opencv_python-3.3.0.10-cp36-cp36m-win_amd64.whl
opencv_python-3.3.0.9-cp27-cp27m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl
opencv_python-3.3.0.9-cp27-cp27m-manylinux1_i686.whl
opencv_python-3.3.0.9-cp27-cp27m-manylinux1_x86_64.whl
opencv_python-3.3.0.9-cp27-cp27m-win32.whl
opencv_python-3.3.0.9-cp27-cp27m-win_amd64.whl
opencv_python-3.3.0.9-cp27-cp27mu-manylinux1_i686.whl
opencv_python-3.3.0.9-cp27-cp27mu-manylinux1_x86_64.whl
opencv_python-3.3.0.9-cp34-cp34m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl
opencv_python-3.3.0.9-cp34-cp34m-manylinux1_i686.whl
opencv_python-3.3.0.9-cp34-cp34m-manylinux1_x86_64.whl
opencv_python-3.3.0.9-cp34-cp34m-win32.whl
opencv_python-3.3.0.9-cp34-cp34m-win_amd64.whl
opencv_python-3.3.0.9-cp35-cp35m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl
opencv_python-3.3.0.9-cp35-cp35m-manylinux1_i686.whl
opencv_python-3.3.0.9-cp35-cp35m-manylinux1_x86_64.whl
opencv_python-3.3.0.9-cp35-cp35m-win32.whl
opencv_python-3.3.0.9-cp35-cp35m-win_amd64.whl
opencv_python-3.3.0.9-cp36-cp36m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl
opencv_python-3.3.0.9-cp36-cp36m-manylinux1_i686.whl
opencv_python-3.3.0.9-cp36-cp36m-manylinux1_x86_64.whl
opencv_python-3.3.0.9-cp36-cp36m-win32.whl
opencv_python-3.3.0.9-cp36-cp36m-win_amd64.whl
opencv_python-3.3.1.11-cp27-cp27m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl
opencv_python-3.3.1.11-cp27-cp27m-manylinux1_i686.whl
opencv_python-3.3.1.11-cp27-cp27m-manylinux1_x86_64.whl
opencv_python-3.3.1.11-cp27-cp27m-win32.whl
opencv_python-3.3.1.11-cp27-cp27m-win_amd64.whl
opencv_python-3.3.1.11-cp27-cp27mu-manylinux1_i686.whl
opencv_python-3.3.1.11-cp27-cp27mu-manylinux1_x86_64.whl
opencv_python-3.3.1.11-cp34-cp34m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl
opencv_python-3.3.1.11-cp34-cp34m-manylinux1_i686.whl
opencv_python-3.3.1.11-cp34-cp34m-manylinux1_x86_64.whl
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opencv_python-4.5.4.60-cp37-cp37m-win32.whl
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opencv_python-4.5.4.60-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
opencv_python-4.5.4.60-cp38-cp38-win32.whl
opencv_python-4.5.4.60-cp38-cp38-win_amd64.whl
opencv_python-4.5.4.60-cp39-cp39-macosx_10_15_x86_64.whl
opencv_python-4.5.4.60-cp39-cp39-macosx_11_0_arm64.whl
opencv_python-4.5.4.60-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
opencv_python-4.5.4.60-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
opencv_python-4.5.4.60-cp39-cp39-win32.whl
opencv_python-4.5.4.60-cp39-cp39-win_amd64.whl
opencv_python-4.5.5.62-cp36-abi3-macosx_10_15_x86_64.whl
opencv_python-4.5.5.62-cp36-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
opencv_python-4.5.5.62-cp36-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
opencv_python-4.5.5.62-cp36-abi3-win32.whl
opencv_python-4.5.5.62-cp36-abi3-win_amd64.whl
opencv_python-4.5.5.62-cp37-abi3-macosx_11_0_arm64.whl
opencv_python-4.5.5.64-cp36-abi3-macosx_10_15_x86_64.whl
opencv_python-4.5.5.64-cp36-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
opencv_python-4.5.5.64-cp36-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
opencv_python-4.5.5.64-cp36-abi3-win32.whl
opencv_python-4.5.5.64-cp36-abi3-win_amd64.whl
opencv_python-4.5.5.64-cp37-abi3-macosx_11_0_arm64.whl
参考:
标签:10,x86,Python,macosx,python,OpenCv,64,whlopencv,Anaconda 来源: https://blog.csdn.net/yellow_hill/article/details/123592345