win10 vs2019 编译 opencv4.7 + 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。

参考 https://blog.csdn.net/diaodaa/article/details/106122943

1 下载源码

https://github.com/opencv/opencv/archive/master.zip

https://github.com/opencv/opencv_contrib/archive/master.zip

2 cmake configure

右键用管理员权限启动cmake。否则configure会报各种错误，包括找不到Build_opencv_world选项等等等奇怪的错误。

设置源码的路径和编译出的vc++ 工程路径（.sln)。简单用源码路径内build就好。没有会新建。

第二个路径有歧义是build文件夹而不是 build之后的binary

开启迷信上网，因为config过程中可能就会下载一些文件

点击configure

选上

BUILD_opencv_world

设置真正的build之后的binary路径

EXECUTABLE_OUTPUT_PATH 比如 D:/lib/opencv-4.7

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/4.7/opencv_contrib-master/modules

cuda：

参考 https://www.jianshu.com/p/aa8455fcc672

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。

参考 https://www.cnblogs.com/xuanmanstein/p/10082831.html

在这里查看显卡能力 https://developer.nvidia.com/cuda-gpus

我能用到的显卡基本也就是

GeForce GTX 1080 Ti	6.1
GeForce GTX 1080	6.1
GeForce GTX 1070	6.1
GeForce GTX 1060	6.1

GeForce GTX 980M	5.2

所以只保留这2个就可以啦。

MKL lapack

矩阵计算依赖blas，lapack。 opencv2.x时代是包含的，现在不包含了，需要自己外部安装。

lapack和 openblas在win下编译都依赖mingw，和vc八字不合，导致opencv 的 OpenCVFindLAPACK.cmake 产生的测试代码无法编译。

openblas LAPACK(OpenBLAS): Can't build LAPACK check code. This LAPACK version is not supported.

win下lapack最简单的或者唯一的就是mkl。

现在intel mkl免费了，只需要注册就可以下载 https://www.intel.com/content/www/us/en/developer/tools/oneapi/onemkl-download.html

现在叫oneAPI了，而且可以不安装intel的C++编译器。只下载安装mkl和tbb。非常方便，体积1.1G，安装后8G

在cmake里只需要设置MKL_ROOT_DIR 其他都会自动检测

TBB

要下载github的onetbb源码， https://github.com/oneapi-src/oneTBB 而不是和mkl一起的那个tbb。那个缺少include 和cmake，opencv不认？

总之，这样

其他

编译python 无法打开文件“python38_d.lib”

编译debug的时候，产生，发现即使重新安装python时选择下载debug文件，仍然会提示缺这个，主要是Cmake依赖的python lib文件默认就是release版的。

所以只能硬改。

用管理员权限启动vscode或者其他文本编辑器

打开文件夹 C:\Program Files\Python38\include

pyconfig.h

276行，把python38_d.lib改成python38.lib

/* For an MSVC DLL, we can nominate the .lib files used by extensions */
#ifdef MS_COREDLL
#       if !defined(Py_BUILD_CORE) && !defined(Py_BUILD_CORE_BUILTIN)
                /* not building the core - must be an ext */
#               if defined(_MSC_VER)
                        /* So MSVC users need not specify the .lib
                        file in their Makefile (other compilers are
                        generally taken care of by distutils.) */
#                       if defined(_DEBUG)
#                               pragma comment(lib,"python38.lib")
#                       elif defined(Py_LIMITED_API)
#                               pragma comment(lib,"python3.lib")
#                       else
#                               pragma comment(lib,"python38.lib")
#                       endif /* _DEBUG */
#               endif /* _MSC_VER */
#       endif /* Py_BUILD_CORE */
#endif /* MS_COREDLL */

319行

#ifdef _DEBUG
//#       define Py_DEBUG
#endif

object.h

59行

/* Py_DEBUG implies Py_REF_DEBUG. */
#if defined(Py_DEBUG) && !defined(Py_REF_DEBUG)
// #define Py_REF_DEBUG
#endif

保存。

在vs里再次生成 “ALL_BUILD”，就OK了

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。

改host下载文件

参考 https://zhuanlan.zhihu.com/p/337422756

即使迷信上网，也无法下载。发现是dns的问题

ping raw.githubusercontent.com

得到实际ip地址199.232.68.133

用管理员权限打开vscode，打开C:\Windows\System32\drivers\etc\host

添加

199.232.68.133 raw.githubusercontent.com

保存

1 需要迷信下载的缓存文件1：

参考 https://www.cnblogs.com/huluwa508/p/10142718.html

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

https://raw.githubusercontent.com/opencv/opencv_3rdparty/a56b6ac6f030c312b2dce17430eef13aed9af274/ippicv/ippicv_2020_win_intel64_20191018_general.zip

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

https://raw.githubusercontent.com/opencv/opencv_3rdparty/6152e132572dfdaa32887eabeb7199bef49b14dc/ffmpeg/opencv_videoio_ffmpeg.dll

https://raw.githubusercontent.com/opencv/opencv_3rdparty/6152e132572dfdaa32887eabeb7199bef49b14dc/ffmpeg/opencv_videoio_ffmpeg_64.dll

https://raw.githubusercontent.com/opencv/opencv_3rdparty/6152e132572dfdaa32887eabeb7199bef49b14dc/ffmpeg/ffmpeg_version.cmake

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.

https://github.com/opencv/opencv/issues/13202

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

posted @ 2018-11-29 18:32 永远的幻想阅读(6137) 评论(0) 编辑收藏举报

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win10 vs2019 编译 opencv4.7 + pyhton3 +cuda

vs2019

1 下载源码

2 cmake configure

cuda：

修改 CUDA_ARCH_BIN

MKL lapack

TBB

其他

编译python 无法打开文件“python38_d.lib”

python3路径现在已经能自动识别

改host下载文件

1 需要迷信下载的缓存文件1：

1 ippicv

2 ade

3 ffmpeg

4 xfeatures2d

5 testdata

6 nvidia_optical_flow

3 Generate 编译安装

4 备用手动安装opencv_python

5 检查确认安装成功

公告

永远的幻想

这个博客主要保存软件开发中“技”层面的知识点。 “术”、“道”，以及紫微、占星，放在https://xuanmanstein.wordpress.com/

win10 vs2019 编译 opencv4.7 + pyhton3 +cuda

vs2019

1 下载源码

2 cmake configure

cuda：

修改 CUDA_ARCH_BIN

MKL lapack

TBB

其他

编译python 无法打开文件“python38_d.lib”

python3路径现在已经能自动识别

改host下载文件

1 需要迷信下载的缓存文件1：

1 ippicv

2 ade

3 ffmpeg

4 xfeatures2d

5 testdata

6 nvidia_optical_flow

3 Generate 编译安装

4 备用 手动安装opencv_python

5 检查确认安装成功

公告

4 备用手动安装opencv_python