opencv python 编译_win10 vs2019 编译 opencv4.5 + pyhton3 +cuda

20201017更新

前置条件

vs2019

也就是所谓的vc16. 要检测是否安装了完整的C++功能和cmake支持，用vs 的installer可以选上。

否则cmake的configure都会报错。

1 下载源码

2 configure

选上

BUILD_opencv_world

NONFREE必须开，否则即使下载的opencv_contrib也不包含sift等等nonfree库了

注意路径中的分割线，必须是linux的

D:/opencv/opencv_contrib-4.5.0/modules

cuda：

选上

WITH_CUDA

WITH_CUDNN

修改 CUDA_ARCH_BIN

这个针对不同计算能力的GPU，编译不同版本，但是这部分特别慢，只能单线程编译。

只编译自己用到的，或者可能部署用到的就可以。

我能用到的显卡基本也就是

所以只保留这2个就可以啦。

其他

基本上多点几次Configure，直到不报错就OK。

如果报warning:

CMake Warning at cmake/OpenCVGenSetupVars.cmake:54 (message):

CONFIGURATION IS NOT SUPPORTED: validate setupvars script in install directory Call Stack (most recent call first)

去掉这个编译选项，应该没啥用

python3路径现在已经能自动识别

python3的路径一个一个补上：注意library 很迷惑，有python3.lib和 .a的。注意区别

其他要注意的也就是这些了，那个OPENCV_PYTHON3_VERSION没啥用，选上好像就编译cv2.pyd不过了。保持空就可以。

1 需要迷信下载的缓存文件1：

打开 D:/opencv/opencv-4.5.0/build/CMakeDownloadLog.txt

如果正常，应该看到：

#use_cache "D:/opencv/opencv-4.5.0/.cache"

#match_hash_in_cmake_cache "OCV_DOWNLOAD_IPPICV_HASH_3rdparty_ippicv_ippicv_2020_win_intel64_20191018_general_zip"

#match_hash_in_cmake_cache "OCV_DOWNLOAD_ADE_HASH_3rdparty_ade_v0_1_1f_zip"

#match_hash_in_cmake_cache "OCV_DOWNLOAD_FFMPEG_HASH_3rdparty_ffmpeg_opencv_videoio_ffmpeg_dll"

#match_hash_in_cmake_cache "OCV_DOWNLOAD_FFMPEG_HASH_3rdparty_ffmpeg_opencv_videoio_ffmpeg_64_dll"

#match_hash_in_cmake_cache "OCV_DOWNLOAD_FFMPEG_HASH_3rdparty_ffmpeg_ffmpeg_version_cmake"

#match_hash_in_cmake_cache "OCV_DOWNLOAD_XFEATURES2D_BOOSTDESC_HASH_downloads_xfeatures2d_boostdesc_bgm_i"

#match_hash_in_cmake_cache "OCV_DOWNLOAD_XFEATURES2D_BOOSTDESC_HASH_downloads_xfeatures2d_boostdesc_bgm_bi_i"

#match_hash_in_cmake_cache "OCV_DOWNLOAD_XFEATURES2D_BOOSTDESC_HASH_downloads_xfeatures2d_boostdesc_bgm_hd_i"

#match_hash_in_cmake_cache "OCV_DOWNLOAD_XFEATURES2D_BOOSTDESC_HASH_downloads_xfeatures2d_boostdesc_binboost_064_i"

#match_hash_in_cmake_cache "OCV_DOWNLOAD_XFEATURES2D_BOOSTDESC_HASH_downloads_xfeatures2d_boostdesc_binboost_128_i"

#match_hash_in_cmake_cache "OCV_DOWNLOAD_XFEATURES2D_BOOSTDESC_HASH_downloads_xfeatures2d_boostdesc_binboost_256_i"

#match_hash_in_cmake_cache "OCV_DOWNLOAD_XFEATURES2D_BOOSTDESC_HASH_downloads_xfeatures2d_boostdesc_lbgm_i"

#match_hash_in_cmake_cache "OCV_DOWNLOAD_XFEATURES2D_VGG_HASH_downloads_xfeatures2d_vgg_generated_48_i"

#match_hash_in_cmake_cache "OCV_DOWNLOAD_XFEATURES2D_VGG_HASH_downloads_xfeatures2d_vgg_generated_64_i"

#match_hash_in_cmake_cache "OCV_DOWNLOAD_XFEATURES2D_VGG_HASH_downloads_xfeatures2d_vgg_generated_80_i"

#match_hash_in_cmake_cache "OCV_DOWNLOAD_XFEATURES2D_VGG_HASH_downloads_xfeatures2d_vgg_generated_120_i"

#match_hash_in_cmake_cache "OCV_DOWNLOAD_DATA_HASH_testdata_cv_face_face_landmark_model_dat"

#match_hash_in_cmake_cache "OCV_DOWNLOAD_NVIDIA_OPTICAL_FLOW_HASH_3rdparty_NVIDIAOpticalFlowSDK_1_0_Headers_79c6cee80a2df9a196f20afd6b598a9810964c32_zip"

如果有墙，则看到各种错误和网址，形如：

#do_copy "ffmpeg_version.cmake" "ad57c038ba34b868277ccbe6dd0f9602" "https://raw.githubusercontent.com/opencv/opencv_3rdparty/a66a24e9f410ae05da4baeeb8b451912664ce49c/ffmpeg/ffmpeg_version.cmake" "D:/soft/dev/opencv/opencv-master/build/3rdparty/ffmpeg"

#missing "D:/soft/dev/opencv/opencv-master/build/3rdparty/ffmpeg/ffmpeg_version.cmake"

根据 下载地址依次下载，保存到制定地点

建立D:/opencv/opencv-4.5.0/.cache

1 ippicv

保存到

D:/opencv/opencv-4.5.0/.cache/ippicv/879741a7946b814455eee6c6ffde2984-ippicv_2020_win_intel64_20191018_general.zip

2 ade

https://github.com/opencv/ade/archive/v0.1.1f.zip

保存为

D:/opencv/opencv-4.5.0/.cache/ade/b624b995ec9c439cbc2e9e6ee940d3a2-v0.1.1f.zip

3 ffmpeg

创建 D:/opencv/opencv-4.5.0/build/3rdparty/ffmpeg

下载 3个文件 不需要改md5码

4 xfeatures2d

D:\soft\dev\opencv\4.5\downloads\opencv-4.5.0\build\downloads\xfeatures2d

下载

https://raw.githubusercontent.com/opencv/opencv_3rdparty/34e4206aef44d50e6bbcd0ab06354b52e7466d26/boostdesc_bgm.i

https://raw.githubusercontent.com/opencv/opencv_3rdparty/34e4206aef44d50e6bbcd0ab06354b52e7466d26/boostdesc_bgm_bi.i

https://raw.githubusercontent.com/opencv/opencv_3rdparty/34e4206aef44d50e6bbcd0ab06354b52e7466d26/boostdesc_bgm_hd.i

https://raw.githubusercontent.com/opencv/opencv_3rdparty/34e4206aef44d50e6bbcd0ab06354b52e7466d26/boostdesc_binboost_064.i

https://raw.githubusercontent.com/opencv/opencv_3rdparty/34e4206aef44d50e6bbcd0ab06354b52e7466d26/boostdesc_binboost_128.i

https://raw.githubusercontent.com/opencv/opencv_3rdparty/34e4206aef44d50e6bbcd0ab06354b52e7466d26/boostdesc_binboost_256.i

https://raw.githubusercontent.com/opencv/opencv_3rdparty/34e4206aef44d50e6bbcd0ab06354b52e7466d26/boostdesc_lbgm.i

https://raw.githubusercontent.com/opencv/opencv_3rdparty/fccf7cd6a4b12079f73bbfb21745f9babcd4eb1d/vgg_generated_48.i

https://raw.githubusercontent.com/opencv/opencv_3rdparty/fccf7cd6a4b12079f73bbfb21745f9babcd4eb1d/vgg_generated_64.i

https://raw.githubusercontent.com/opencv/opencv_3rdparty/fccf7cd6a4b12079f73bbfb21745f9babcd4eb1d/vgg_generated_80.i

https://raw.githubusercontent.com/opencv/opencv_3rdparty/fccf7cd6a4b12079f73bbfb21745f9babcd4eb1d/vgg_generated_120.i

5 testdata

创建

D:/opencv/opencv-4.5.0/build/testdata/cv/face/

下载

https://raw.githubusercontent.com/opencv/opencv_3rdparty/8afa57abc8229d611c4937165d20e2a2d9fc5a12/face_landmark_model.dat

6 nvidia_optical_flow

创建

D:/opencv/opencv-4.5.0/.cache/nvidia_optical_flow

下载

https://github.com/NVIDIA/NVIDIAOpticalFlowSDK/archive/79c6cee80a2df9a196f20afd6b598a9810964c32.zip

改名

ca5acedee6cb45d0ec610a6732de5c15-79c6cee80a2df9a196f20afd6b598a9810964c32.zip

#------------------------------------

20200826 更新

opencv 4.4 cuda 10.2

小坑仍然若干（迷信下载，python），但总体平顺多了。漫长的编辑 2小时。

遇到下载不了的，就迷信上网:

ffmpeg ippicv xfeatures2d保存到

/build/downloads 相应文件夹里

face_landmark_model.dat 下载到

/build/testdata\cv\face

具体下载参考下面

20191231更新：

FFMPEG: Download: ffmpeg_version.cmake

Try 1 failed

cd 到

XXX\opencv-master\.cache\ffmpeg

发现

3 Generate 编译安装

然后Generate，然后不要直接在cmake里Open Project，

在开始菜单，在vs2019图标上右键，更多->以管理员身份运行 (否则，如果python安装在C盘，win10权限管理会让python安装失败)

在vs解决方案管理器

解决方案OpenCV->CMakeTargets

"ALL_BUILD" 右键"生成"，经过漫长编译，如果正常，应该全都编译成功。之前因为python编译不过，卡了半天。

“INSTALL” “生成”，(debug 也生成一下 难免要调试)

此时产生

opencv-4.5.0\build\install 文件夹

把

D:\opencv\opencv-4.5.0\build\install\x64\vc16\bin

添加到系统环境变量。

保证opencv_world450.dll能被 搜索到（这个直接300M了。。。）。

4 备用 手动安装opencv_python

但C:\Program Files\Python38\Lib\site-packages下仍然没有看见cv2.pyd

想起应该是win10加强了C盘权限的管理，进命令行都得用管理员权限了。

那么：直接用管理员权限启动PowerShell，cd到之前设置的 opencv的build路径（我给设置了D:\soft\dev\opencv\build）

cd D:\soft\dev\opencv\build\python_loader

python setup.py develop

要用develop来安装，不是常用的install否则会报错

ImportError: ERROR: recursion is detected during loading of "cv2" binary extensions. Check OpenCV installation.

如果C:\Program Files\Python38\Lib\site-packages还是没有cv2.pyd

那就去

D:\opencv\opencv-4.4.0\build\lib\python3\Release

下

把cv2.cp38-win_amd64.pyd 手工改名成 cv2.pyd

然后复制到

C:\Program Files\Python38\Lib\site-packages

5 检查确认安装成功

在python环境里查看信息

>>> import cv2

>>> print(cv2.getBuildInformation())

General configuration for OpenCV 4.5.0 =====================================

Version control: unknown

Extra modules:

Location (extra): D:/opencv/opencv_contrib-4.5.0/modules

Version control (extra): unknown

Platform:

Timestamp: 2020-10-28T07:34:00Z

Host: Windows 10.0.19042 AMD64

CMake: 3.18.4

CMake generator: Visual Studio 16 2019

CMake build tool: C:/Program Files (x86)/Microsoft Visual Studio/2019/Professional/MSBuild/Current/Bin/MSBuild.exe

MSVC: 1927

CPU/HW features:

Baseline: SSE SSE2 SSE3

requested: SSE3

Dispatched code generation: SSE4_1 SSE4_2 FP16 AVX AVX2 AVX512_SKX

requested: SSE4_1 SSE4_2 AVX FP16 AVX2 AVX512_SKX

SSE4_1 (17 files): + SSSE3 SSE4_1

SSE4_2 (2 files): + SSSE3 SSE4_1 POPCNT SSE4_2

FP16 (1 files): + SSSE3 SSE4_1 POPCNT SSE4_2 FP16 AVX

AVX (5 files): + SSSE3 SSE4_1 POPCNT SSE4_2 AVX

AVX2 (31 files): + SSSE3 SSE4_1 POPCNT SSE4_2 FP16 FMA3 AVX AVX2

AVX512_SKX (7 files): + SSSE3 SSE4_1 POPCNT SSE4_2 FP16 FMA3 AVX AVX2 AVX_512F AVX512_COMMON AVX512_SKX

C/C++:

Built as dynamic libs?: YES

C++ standard: 11

C++ Compiler: C:/Program Files (x86)/Microsoft Visual Studio/2019/Professional/VC/Tools/MSVC/14.27.29110/bin/Hostx64/x64/cl.exe (ver 19.27.29112.0)

C++ flags (Release): /DWIN32 /D_WINDOWS /W4 /GR /D _CRT_SECURE_NO_DEPRECATE /D _CRT_NONSTDC_NO_DEPRECATE /D _SCL_SECURE_NO_WARNINGS /Gy /bigobj /Oi /fp:precise /EHa /wd4127 /wd4251 /wd4324 /wd4275 /wd4512 /wd4589 /MP /MD /O2 /Ob2 /DNDEBUG

C++ flags (Debug): /DWIN32 /D_WINDOWS /W4 /GR /D _CRT_SECURE_NO_DEPRECATE /D _CRT_NONSTDC_NO_DEPRECATE /D _SCL_SECURE_NO_WARNINGS /Gy /bigobj /Oi /fp:precise /EHa /wd4127 /wd4251 /wd4324 /wd4275 /wd4512 /wd4589 /MP /MDd /Zi /Ob0 /Od /RTC1

C Compiler: C:/Program Files (x86)/Microsoft Visual Studio/2019/Professional/VC/Tools/MSVC/14.27.29110/bin/Hostx64/x64/cl.exe

C flags (Release): /DWIN32 /D_WINDOWS /W3 /D _CRT_SECURE_NO_DEPRECATE /D _CRT_NONSTDC_NO_DEPRECATE /D _SCL_SECURE_NO_WARNINGS /Gy /bigobj /Oi /fp:precise /MP /MD /O2 /Ob2 /DNDEBUG

C flags (Debug): /DWIN32 /D_WINDOWS /W3 /D _CRT_SECURE_NO_DEPRECATE /D _CRT_NONSTDC_NO_DEPRECATE /D _SCL_SECURE_NO_WARNINGS /Gy /bigobj /Oi /fp:precise /MP /MDd /Zi /Ob0 /Od /RTC1

Linker flags (Release): /machine:x64 /INCREMENTAL:NO

Linker flags (Debug): /machine:x64 /debug /INCREMENTAL

ccache: NO

Precompiled headers: NO

Extra dependencies: cudart_static.lib nppc.lib nppial.lib nppicc.lib nppidei.lib nppif.lib nppig.lib nppim.lib nppist.lib nppisu.lib nppitc.lib npps.lib cublas.lib cudnn.lib cufft.lib -LIBPATH:C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v11.1/lib/x64

3rdparty dependencies:

OpenCV modules:

To be built: aruco bgsegm bioinspired calib3d ccalib core cudaarithm cudabgsegm cudacodec cudafeatures2d cudafilters cudaimgproc cudalegacy cudaobjdetect cudaoptflow cudastereo cudawarping cudev datasets dnn dnn_objdetect dnn_superres dpm face features2d flann fuzzy gapi hfs highgui img_hash imgcodecs imgproc intensity_transform line_descriptor mcc ml objdetect optflow phase_unwrapping photo plot python3 quality rapid reg rgbd saliency shape stereo stitching structured_light superres surface_matching text tracking ts video videoio videostab world xfeatures2d ximgproc xobjdetect xphoto

Disabled: -

Disabled by dependency: -

Unavailable: alphamat cnn_3dobj cvv freetype hdf java js julia matlab ovis python2 python2 sfm viz

Applications: tests perf_tests apps

Documentation: NO

Non-free algorithms: YES

Windows RT support: NO

GUI:

Win32 UI: YES

VTK support: NO

Media I/O:

ZLib: build (ver 1.2.11)

JPEG: build-libjpeg-turbo (ver 2.0.5-62)

WEBP: build (ver encoder: 0x020f)

PNG: build (ver 1.6.37)

TIFF: build (ver 42 - 4.0.10)

JPEG 2000: build (ver 2.3.1)

OpenEXR: build (ver 2.3.0)

HDR: YES

SUNRASTER: YES

PXM: YES

PFM: YES

Video I/O:

DC1394: NO

FFMPEG: YES (prebuilt binaries)

avcodec: YES (58.91.100)

avformat: YES (58.45.100)

avutil: YES (56.51.100)

swscale: YES (5.7.100)

avresample: YES (4.0.0)

GStreamer: NO

DirectShow: YES

Media Foundation: YES

DXVA: YES

Parallel framework: Concurrency

Trace: YES (with Intel ITT)

Other third-party libraries:

Intel IPP: 2020.0.0 Gold [2020.0.0]

at: D:/opencv/opencv-4.5.0/build/3rdparty/ippicv/ippicv_win/icv

Intel IPP IW: sources (2020.0.0)

at: D:/opencv/opencv-4.5.0/build/3rdparty/ippicv/ippicv_win/iw

Lapack: NO

Eigen: NO

Custom HAL: NO

Protobuf: build (3.5.1)

NVIDIA CUDA: YES (ver 11.1, CUFFT CUBLAS)

NVIDIA GPU arch: 61

NVIDIA PTX archs:

cuDNN: YES (ver 8.0.3)

OpenCL: YES (NVD3D11)

Include path: D:/opencv/opencv-4.5.0/3rdparty/include/opencl/1.2

Link libraries: Dynamic load

Python 3:

Interpreter: C:/Program Files/Python39/python.exe (ver 3.9)

Libraries: C:/Program Files/Python39/libs/python39.lib (ver 3.9.0)

numpy: C:/Program Files/Python39/lib/site-packages/numpy/core/include (ver 1.19.2)

install path: C:/Program Files/Python39/Lib/site-packages/cv2/python-3.9

Python (for build): C:/Program Files/Python39/python.exe

Java:

ant: NO

JNI: NO

Java wrappers: NO

Java tests: NO

Install to: D:/opencv/opencv-4.5.0/build/install

-----------------------------------------------------------------

编译完成。

然后就能又在py上使用shift了