windows:Opencv使用Cmake & VS 编译, C++、python、Cuda、Qt 环境详细教学及踩坑 一 :编译篇

Bethxone 2024-08-19 15:05:04 阅读 74

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测试篇:windows:Opencv使用Cmake & VS 编译, C++、python、Cuda、Qt 环境详细教学及踩坑 二 :测试篇-CSDN博客

一、准备:

本文使用的软件版本均是撰写时的最新或次新版,对过旧版本不一定通用

0、环境配置:

Windows Windows 11 专业版 23H2
opencv 4.10
Qt   6.7.2
Cmake 3.3.0
python 3.12.4
cuda 12.5
cudnn 9.2.1
vs studio 2022

1、 Opencv,Opencv_contrib 源码下载     本文版本:4.10

GitHub - opencv/opencv: Open Source Computer Vision Library

GitHub - opencv/opencv_contrib: Repository for OpenCV's extra modules

下载完成后解压opencv 和 opencv_contrib,将opencv_contrib文件夹移入opencv文件夹下,并在opencv文件夹下新建build文件夹。

  软件安装教程引用其他大神的教程,很详细

2、Qt 安装                   本文版本:Qt 6.7.2

Qt下载安装及配置教程(非常详细),从零基础入门到精通,看完这一篇就够了-CSDN博客

3、Cmake 安装:        本文版本:Cmake 3.3.0

Windows下的CMake详细安装教程(2024/1/24)_windows 安装cmake-CSDN博客

4、python 安装:        本文版本:python 3.12.4

 Download Python | Python.org

1、选择自定义安装

2、选择添加python路径到环境变量

3、选择为所有用户安装

其他选项如图所示,如果cmake需要debug版本的一定要勾选debug有关的选项,否则生成过程中会缺少python3xx_d.lib 文件。

  

 5、Cuda 、cudNN 安装:本文版本:Cuda  12.5    cudNN 9.2

 先按该教程安装cuda、cudnn:Cuda和cuDNN安装教程(超级详细)-CSDN博客

 cudnn再按官方文档安装一遍:英伟达官方cudnn安装教程

 注意:cudnn一定要按教程,将cudnn文件复制到cuda文件夹下。

否则:如果只是按照官方文档中的教程,编译成功后,python import cv2 时无法调用cudnn中的dll文件。报错:

ImportError: DLL load failed: The specified module could not be found.

!!注意:Windows下使用cmake编译cuda只能使用VS,否则会无法找到cuda位置

6、VS studio 安装:       

Thank You for Downloading Visual Studio Community Edition

7、上述软件安装完成后重启计算机!!!

二、设置 Cmake 选项

    参考:AMD Customer Community

从“开始”菜单打开 CMake (cmake-gui)将“Where is the source code”设置为提取的 opencv 文件夹。将“Where to build the binaries”设置为提取的 opencv 文件夹,并在末尾附加 /build。这将是编译文件的构建位置,您可以将其设置为所需的任何文件夹点击“configure”弹出窗口选择vs2019作为编译器

generate平台选择x64

注:此处  opencv_cp312_410、opencv_410_cp312_amd64_bulid、opencv_410_cp312_amd64为笔者按习惯重命名。

对应关系为:

                opencv_cp312_410 ——>opencv_x.xx    opencv主文件夹

                opencv_410_cp312_amd64_bulid ——> build

                opencv_410_cp312_amd64  ——> install

此处的目录结构为:

----opencv_x.xx

        ----3rdparty

       ---- .....

       ----build

           ----install

       ---- .....

       ---- opencv_contrib

1、通用编译选项:

参考链接:AMD Customer Community

        使用“搜索”框更改以下属性:

BUILD_PROTOBUF:– 取消选中WITH_PROTOBUF:– 取消选中BUILD_TESTS:– 取消选中WITH_OPENEXR:– 取消选中BUILD_OPENEXR:– 取消选中OPENCV_ENABLE_ALLOCATOR_STATS:– 取消选中CMAKE_BUILD_TYPE:– RELEASECMAKE_INSTALL_PREFIX:– 这默认为 build/install 目录,但您可以将其更改为您希望将 OpenCV 库安装到的任何目录。BUILD_opencv_world:建议勾选,build_opencv_world可以将所有opencv的库都打包编译在一起。OPENCV_ENABLE_NONFREE:勾选,否则无法使用sift。WITH_OPENGL :勾选OPENCV_EXTRA_MODULES_PATH – 设置为提取的 opencv_contrib/modules 文件夹的路径。如图所示:

        10、配置完成点击“configure

报错信息1:

CMake Warning (dev) at CMakeLists.txt:127 (enable_language):

  project() should be called prior to this enable_language() call.

This warning is for project developers.  Use -Wno-dev to suppress it.

Selecting Windows SDK version 10.0.22621.0 to target Windows 10.0.22631.

CMake Warning (dev) at C:/Program Files/CMake/share/cmake-3.30/Modules/Platform/Windows-MSVC.cmake:539 (enable_language):

  project() should be called prior to this enable_language() call.

Call Stack (most recent call first):

  C:/Program Files/CMake/share/cmake-3.30/Modules/Platform/Windows-MSVC.cmake:509 (__windows_compiler_msvc_enable_rc)

  C:/Program Files/CMake/share/cmake-3.30/Modules/Platform/Windows-MSVC-CXX.cmake:6 (__windows_compiler_msvc)

  C:/Program Files/CMake/share/cmake-3.30/Modules/CMakeCXXInformation.cmake:48 (include)

  CMakeLists.txt:127 (enable_language)

This warning is for project developers.  Use -Wno-dev to suppress it.

报错信息2: 

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

  CONFIGURATION IS NOT SUPPORTED: validate setupvars script in install

  directory

Call Stack (most recent call first):

  CMakeLists.txt:1180 (include)

解决方案: 

这两类警告,不影响正常编译过程。对此未作处理。

2、cuda 编译选项

参考链接:windows11编译OpenCV4.5.0 with CUDA(附注意事项)-CSDN博客

第一次搜cuda时将带cuda的都勾选,点击“configure

搜索:WITH_NVCUVENC——取消选中

          WITH_NVCUVID——取消选中

注意:第一次搜索时,如图所示的部分选项不存在是正常现象,因为每次"configure"时,cmake都会根据已经勾选的选项重新加载,所以及时的重新"configure"是一个好习惯。

将已经存在的选项按图勾选后,再次点击"configure"后重新搜索,即可出现全部选项。

 配置CUDA_ARCH_BIN中将显卡的算力内容改成自己显卡的算力,显卡算力查看链接查看自己显卡的算力,我的显卡是4060laptop,官网算力为8.9。CUDA_ARCH_BIN中将低于8.9数值的删除。

cuda编译选项按图进行勾选。

报错信息1:WITH_NVCUVENC、WITH_NVCUVID

CMake Warning at opencv_contrib_4_10/modules/cudacodec/CMakeLists.txt:26 (message):

  cudacodec::VideoReader requires Nvidia Video Codec SDK.  Please resolve

  dependency or disable WITH_NVCUVID=OFF

Call Stack (most recent call first):

  modules/world/CMakeLists.txt:13 (include)

  modules/world/CMakeLists.txt:50 (include_one_module)

CMake Warning at opencv_contrib_4_10/modules/cudacodec/CMakeLists.txt:30 (message):

  cudacodec::VideoWriter requires Nvidia Video Codec SDK.  Please resolve

  dependency or disable WITH_NVCUVENC=OFF

Call Stack (most recent call first):

  modules/world/CMakeLists.txt:13 (include)

  modules/world/CMakeLists.txt:50 (include_one_module)

解决方法:       

        搜索:WITH_NVCUVENC——取消选中

                   WITH_NVCUVID——取消选中

报错信息2:OPENCV_DNN_CUDA

CMake Error at modules/dnn/CMakeLists.txt:53 (message):

  DNN: CUDA backend requires cuDNN.  Please resolve dependency or disable

  OPENCV_DNN_CUDA=OFF

Call Stack (most recent call first):

  modules/world/CMakeLists.txt:13 (include)

  modules/world/CMakeLists.txt:50 (include_one_module)

解决方法:

搜索CUDNN_LIBRARY,找到并输入cudnn.lib的安装位置

CUDA 参考配置:

 打开 Advance,配置供参考(不一定要一致,只是提供参考)

3、python 编译选项

参考:【opencv】【GPU】windows10下opencv4.8.0-cuda Python版本源码编译教程_cv2的版本4.8.0-CSDN博客

注意:有的同学即使按图勾选后依然无法出现某些选项。

例如:

        若无法出现BUILD_opencv_python3,(此选项为python编译的必需选项)此时可以进行手动添加。点击 Add Entry ,在Name 中输入BUILD_opencv_python3,点击OK,即可出现该选项。

python的选项设置如图所示,其中numpy需提前进行安装,安装完成python后,打开cmd,输入

pip install numpy

python 参考配置:

4、Qt 编译选项

 参考:基于QT5.14.2的OPENCV4.8.0的cuda11.4开发环境搭建和源码编译_opencv4.8编译-CSDN博客

 1、搜索Qt,设置Qt6_DIR目录为:Qt安装路径/6.7.2/msvc2019_64/lib/cmake/Qt6,如图所示。点击“configure”。 

 2、查找Qt安装路径\6.7.2\msvc2019_64\lib\cmake\Qtest文件夹,将其压缩备份后删除。

 参考:https://github.com/opencv/opencv/issues/23826#issuecomment-2227167370

否则会报错。点击“configure”。 此时搜索 Qt6Test_DIR 为 Qt6Test_DIR-NOTFOUND。

 报错信息:Qtest

CMake Error at C:/Program Files/CMake/share/cmake-3.30/Modules/FindCUDA.cmake:1793 (file):

Error evaluating generator expression:

$<TARGET_PROPERTY:QT_TESTCASE_BUILDDIR>

$<TARGET_PROPERTY:prop> may only be used with binary targets. It may not

be used with add_custom_command or add_custom_target. Specify the target

to read a property from using the $<TARGET_PROPERTY:tgt,prop> signature

instead.

Call Stack (most recent call first):

C:/Program Files/CMake/share/cmake-3.30/Modules/FindCUDA.cmake:2111 (CUDA_WRAP_SRCS)

C:/Program Files/CMake/share/cmake-3.30/Modules/FindCUDA.cmake:2124 (cuda_compile_base)

cmake/OpenCVDetectCUDA.cmake:164 (CUDA_COMPILE)

cmake/OpenCVUtils.cmake:1578 (ocv_cuda_compile)

cmake/OpenCVModule.cmake:989 (ocv_add_library)

cmake/OpenCVModule.cmake:905 (_ocv_create_module)

modules/world/CMakeLists.txt:78 (ocv_create_module)

解决方案:

 查找Qt安装路径\6.7.2\msvc2019_64\lib\cmake\Qtest文件夹,将其压缩备份后删除。

 参考:https://github.com/opencv/opencv/issues/23826#issuecomment-2227167370

Qt 参考配置:

注意:每次点击"configure"都要注意报错信息,除了一开始的两个警告外,其他警告一定要及时解决,否则编译会失败

三、检查配置报告 

!!!检查具有背景色的行,看是否与自己预期一致。

General configuration for OpenCV 4.10.0 =====================================

Version control: unknown

Extra modules:

Location (extra): D:/Program Files/opencv/opencv_cp312_410/opencv_contrib_4_10/modules

Version control (extra): unknown

Platform:

Timestamp: 2024-07-19T05:23:16Z

Host: Windows 10.0.22631 AMD64

CMake: 3.30.0

CMake generator: Visual Studio 17 2022

CMake build tool: C:/Program Files (x86)/Microsoft Visual Studio/2022/BuildTools/MSBuild/Current/Bin/amd64/MSBuild.exe

MSVC: 1940

Configuration: Debug Release

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 (16 files): + SSSE3 SSE4_1

SSE4_2 (1 files): + SSSE3 SSE4_1 POPCNT SSE4_2

FP16 (0 files): + SSSE3 SSE4_1 POPCNT SSE4_2 FP16 AVX

AVX (8 files): + SSSE3 SSE4_1 POPCNT SSE4_2 AVX

AVX2 (36 files): + SSSE3 SSE4_1 POPCNT SSE4_2 FP16 FMA3 AVX AVX2

AVX512_SKX (5 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/2022/BuildTools/VC/Tools/MSVC/14.40.33807/bin/Hostx64/x64/cl.exe (ver 19.40.33812.0)

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 /wd4819 /MP /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 /wd4819 /MP /Zi /Ob0 /Od /RTC1

C Compiler: C:/Program Files (x86)/Microsoft Visual Studio/2022/BuildTools/VC/Tools/MSVC/14.40.33807/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 /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 /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/v12.5/lib/x64 -LIBPATH:C:/Program Files/NVIDIA GPU Computing Toolkit/CUDNN_9.2/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 mcc ml objdetect optflow phase_unwrapping photo plot python3 quality rapid reg rgbd saliency shape signal stereo stitching structured_light superres surface_matching text tracking ts video videoio videostab wechat_qrcode world xfeatures2d ximgproc xobjdetect xphoto

Disabled: -

Disabled by dependency: -

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

Applications: perf_tests apps

Documentation: NO

Non-free algorithms: YES

Windows RT support: NO

GUI:

QT: NO

Win32 UI: YES

OpenGL support: YES (opengl32 glu32)

VTK support: NO

Media I/O:

ZLib: build (ver 1.3.1)

JPEG: build-libjpeg-turbo (ver 3.0.3-70)

SIMD Support Request: YES

SIMD Support: NO

WEBP: build (ver encoder: 0x020f)

PNG: build (ver 1.6.43)

SIMD Support Request: YES

SIMD Support: YES (Intel SSE)

TIFF: build (ver 42 - 4.6.0)

JPEG 2000: build (ver 2.5.0)

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 (58.134.100)

avformat: YES (58.76.100)

avutil: YES (56.70.100)

swscale: YES (5.9.100)

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: 2021.11.0 [2021.11.0]

at: D:/Program Files/opencv/opencv_cp312_410/opencv_410_cp312_amd64_bulid/3rdparty/ippicv/ippicv_win/icv

Intel IPP IW: sources (2021.11.0)

at: D:/Program Files/opencv/opencv_cp312_410/opencv_410_cp312_amd64_bulid/3rdparty/ippicv/ippicv_win/iw

Lapack: NO

Eigen: NO

Custom HAL: NO

Flatbuffers: builtin/3rdparty (23.5.9)

NVIDIA CUDA: YES (ver 12.5, CUFFT CUBLAS)

NVIDIA GPU arch: 89 90

NVIDIA PTX archs: 90

cuDNN: YES (ver 9.2.1)

OpenCL: YES (NVD3D11)

Include path: D:/Program Files/opencv/opencv_cp312_410/3rdparty/include/opencl/1.2

Link libraries: Dynamic load

Python 3:

Interpreter: C:/Program Files/Python312/python.exe (ver 3.12.4)

Libraries: optimized C:/Program Files/Python312/libs/python312.lib debug C:/Program Files/Python312/libs/python312_d.lib (ver 3.12.4)

Limited API: NO

numpy: C:/Program Files/Python312/Lib/site-packages/numpy/_core/include (ver 2.0.0)

install path: C:/Program Files/Python312/Lib/site-packages/cv2/python-3.12

Python (for build): C:/Program Files/Python312/python.exe

Java:

ant: NO

Java: NO

JNI: NO

Java wrappers: NO

Java tests: NO

Install to: D:/Program Files/opencv/opencv_cp312_410/opencv_410_cp312_amd64_bulid/install

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

Configuring done (10.3s)

Generating done (13.0s)

 四、使用VS Studio 进行编译

1、点击open project 自动打开vs studio

注意:该opencv_python3 是不可或缺的。没有的话检查是否勾选BUILD_opencv_python3

 2、点击选择Release

 3、右键Install,点击生成

时间大概1个小时-2个小时左右,按cpu性能而定。若没有失败,则编译成功。

至此编译完成!!!

五、添加环境变量,修改config.py文件

1、修改config.py文件

 编译完成后只有opencv/build/Install 文件夹(本文命名为opencv_cp312_410\opencv_410_cp312_amd64_bulid\opencv_410_cp312_amd64 文件夹)是我们所需要的,将Install 文件夹移动到你所需的位置后,需要进行如下更改:

1、打开python 安装路径,或者在 cmake配置信息中取得,打开安装路径中的cv2文件夹(本文 install path 为C:/Program Files/Python312/Lib/site-packages/cv2/python-3.12,则打开C:/Program Files/Python312/Lib/site-packages/cv2 

 2、打开cv2文件夹下的config.py下的

 3、编辑该路径为install的文件路径

2、修改环境变量

 1、打开系统变量中的Path

 2、将*(install的文件路径)*/install/x64/vc17/bin 添加到系统变量中

 3、修改环境变量后重启计算机!!!!

编译完成文件下载链接:(仅参考)

百度云链接opencv_cp312_410_win64 提取码:toi4 

下一篇:测试篇

windows:Opencv使用Cmake & VS 编译, C++、python、Cuda、Qt 环境详细教学及踩坑 二 :测试篇-CSDN博客

参考链接:

AMD Customer Community

最新 | OpenCV4.8 + CUDA + 扩展模块支持编译指南-腾讯云开发者社区-腾讯云

https://www.cnblogs.com/guojin-blogs/p/17939955#4-%E9%A1%B9%E7%9B%AE%E6%B5%8B%E8%AF%95

基于QT5.14.2的OPENCV4.8.0的cuda11.4开发环境搭建和源码编译_opencv4.8编译-CSDN博客

Windows下配置CMake(入门级教程,适合新人收藏学习)-阿里云开发者社区

windows下cmake的安装与环境变量配置教程_win10配置 cmake环境变量-CSDN博客

windows下 C++ openCV配置及x86编译(傻瓜式教程)_opencv x86-CSDN博客

opencv源码编译及配置完整版教程(win10+vs2019+opencv-4.4.0+opencv_contrib-4.4.0)_、 .4 ,vcvedv-CSDN博客

WIN10下使用MinGW编译安装运行OpenCV_mingw编译opencv-CSDN博客

https://www.cnblogs.com/liushuiruobing/p/17695059.html

【opencv】【GPU】windows10下opencv4.8.0-cuda Python版本源码编译教程_cv2的版本4.8.0-CSDN博客

OpenCV4.8 GPU版本CMake编译详细步骤 与CUDA代码演示-CSDN博客

【opencv】【GPU】windows10下opencv4.8.0-cuda Python版本源码编译教程_opencv_牙牙要健康-开放原子开发者工作坊

在windows上编译并使用opencv的正确姿势 | Aynakeya's Blog

Windows下Visual Studio 编译OpenCV详细教程(win10+vs2017+opencv4.5.2)(OpenCV最新版)(特别适合无法科学上网的童鞋们)_windows环境下vsstudio编译opencv-CSDN博客

Windows编译OpenCV及扩展模块-CSDN博客



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