win10 vs2019 编译 opencv4.4 + pyhton3 +cuda

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。

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

下载opencv和opencv_contrb 直接从github上下载：

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

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

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/testdatacvface

具体下载参考下面

20191231更新：

FFMPEG: Download: ffmpeg_version.cmake

Try 1 failed

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

cd 到

 XXXopencv-master.cacheffmpeg

发现

2个dll下载好了

但是.cmake文件下载不到

ad57c038ba34b868277ccbe6dd0f9602-ffmpeg_version.cmake

而cmake的下载地址，根据

XXXopencv-masteruildCMakeDownloadLog.txt

#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"

直接用科学方法打开标红的链接，发现只是个纯文本文件

set(FFMPEG_libavcodec_FOUND 1)
set(FFMPEG_libavformat_FOUND 1)
set(FFMPEG_libavutil_FOUND 1)
set(FFMPEG_libswscale_FOUND 1)
set(FFMPEG_libavresample_FOUND 1)

set(FFMPEG_libavcodec_VERSION 58.54.100)
set(FFMPEG_libavformat_VERSION 58.29.100)
set(FFMPEG_libavutil_VERSION 56.31.100)
set(FFMPEG_libswscale_VERSION 5.5.100)
set(FFMPEG_libavresample_VERSION 4.0.0)

直接复制内容，粘贴到 体积为0的cmake文件ad57c038ba34b868277ccbe6dd0f9602-ffmpeg_version.cmake 中，保存完事。

2 confiure

编译选项：

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

cuda：

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

选上

BUILD_opencv_world
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。

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。

然后Generate，然后进vs2017，"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。

然后“INSTALL” “生成”，此时产生

opencv-4.4.0uildinstall 文件夹

把

D:opencvopencv-4.4.0uildinstallx64vc16in

添加到系统环境变量。

保证opencv_world440.dll能被 搜索到（这个直接快300M了。。。）。这步很重要

3手动安装opencv_python

但C:Program FilesPython38Libsite-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:softdevopencvuild）

cd D:softdevopencvuildinstallpython_loader

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

python setup.py develop

如果C:Program FilesPython38Libsite-packages还是没有cv2.pyd 

那就去

D:opencvopencv-4.4.0uildlibpython3Release

下

把cv2.cp38-win_amd64.pyd 手工改名成 cv2.pyd

然后复制到

C:Program FilesPython38Libsite-packages

 然后就能又在py上使用sift了  在python环境里查看信息

>>> import cv2
>>> print(cv2.getBuildInformation())

General configuration for OpenCV 4.4.0 =====================================
Version control: unknown

Extra modules:
Location (extra): D:/opencv/opencv_contrib-4.4.0/modules
Version control (extra): unknown

Platform:
Timestamp: 2020-08-26T01:44:32Z
Host: Windows 10.0.19041 AMD64
CMake: 3.18.2
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 19.27.29111.0)
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 nppicom.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/v10.2/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 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
Disabled: xphoto
Disabled by dependency: -
Unavailable: alphamat cnn_3dobj cvv freetype hdf java js julia matlab ovis python2 python2 sfm viz
Applications: tests perf_tests examples 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 Jasper (ver 1.900.1)
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 (58.54.100)
avformat: YES (58.29.100)
avutil: YES (56.31.100)
swscale: YES (5.5.100)
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-4.4.0/build/3rdparty/ippicv/ippicv_win/icv
Intel IPP IW: sources (2020.0.0)
at: D:/opencv/opencv-4.4.0/build/3rdparty/ippicv/ippicv_win/iw
Lapack: NO
Eigen: NO
OpenVX: NO
Custom HAL: NO
Protobuf: build (3.5.1)

NVIDIA CUDA: YES (ver 10.2, CUFFT CUBLAS)
NVIDIA GPU arch: 52 61
NVIDIA PTX archs:

cuDNN: YES (ver 7.6.5)

OpenCL: YES (NVD3D11)
Include path: D:/opencv/opencv-4.4.0/3rdparty/include/opencl/1.2
Link libraries: Dynamic load

Python 3:
Interpreter: C:/Program Files/Python38/python.exe (ver 3.8.5)
Libraries: C:/Program Files/Python38/libs/python38.lib (ver 3.8.5)
numpy: C:/Program Files/Python38/lib/site-packages/numpy/core/include (ver 1.18.5)
install path: C:/Program Files/Python38/Lib/site-packages/cv2/python-3.8

Python (for build): C:/Program Files/Python38/python.exe

Java:
ant: NO
JNI: NO
Java wrappers: NO
Java tests: NO

Install to: D:/opencv/opencv-4.4.0/build/install
-----------------------------------------------------------------

编译完成。