Win11+Opencv 4.11.0+Cuda12.8+Cudnn 9.8+freetype 2.13.3+harfbuzz 11.1.0+eigen 3.4.0 支持中文编译opencv

1. 下载freetype

2. 下载harfbuzz

3. 下载opencv-4.11.0 和 opencv_contrib-4.11.0

4. 下载cudnn-windows-x86_64-9.8.0.87_cuda12-archive

5. 下载TensorRT-10.8.0.43.Windows.win10.cuda-12.8.zip

4. 编译freetype  系统变量添加变量FREETYPE_DIR,目录为C:/Program Files  (x86)/freetype

5. 编译harfbuzz 初次Configure后，钩选HB_HAVE_FREETYE,再次Configure. 系统变量添加变量HARFBUZZ_DIR,目录为C:/Program Files  (x86)/harfbuzz

 

修改modules/freetype/CMakeLists.txt

 

替换如下内容

set(the_description "FreeType module. It enables to draw strings with outlines and mono-bitmaps/gray-bitmaps.")
 
find_package(Freetype REQUIRED)
 
# find_package(HarfBuzz) is not included in cmake
set(HARFBUZZ_DIR "$ENV{HARFBUZZ_DIR}" CACHE PATH "HarfBuzz directory")
find_path(HARFBUZZ_INCLUDE_DIRS
    NAMES hb-ft.h PATH_SUFFIXES harfbuzz
    HINTS ${HARFBUZZ_DIR}/include)
find_library(HARFBUZZ_LIBRARIES
    NAMES harfbuzz
    HINTS ${HARFBUZZ_DIR}/lib)
find_package_handle_standard_args(HARFBUZZ
    DEFAULT_MSG HARFBUZZ_LIBRARIES HARFBUZZ_INCLUDE_DIRS)
 
if(NOT FREETYPE_FOUND)
  message(STATUS "freetype2:   NO")
else()
  message(STATUS "freetype2:   YES")
endif()
 
if(NOT HARFBUZZ_FOUND)
  message(STATUS "harfbuzz:   NO")
else()
  message(STATUS "harfbuzz:   YES")
endif()
 
if(FREETYPE_FOUND AND HARFBUZZ_FOUND)
  ocv_define_module(freetype opencv_core opencv_imgproc PRIVATE_REQUIRED ${FREETYPE_LIBRARIES} ${HARFBUZZ_LIBRARIES} WRAP python)
  ocv_include_directories(${FREETYPE_INCLUDE_DIRS} ${HARFBUZZ_INCLUDE_DIRS})
else()
  ocv_module_disable(freetype)
endif()

 

 

6. 编译opencv 4.11.0

需要联网下载文件

a) ippicv

https://raw.githubusercontent.com/opencv/opencv_3rdparty/7f55c0c26be418d494615afca15218566775c725/ippicv/ippicv_2021.12.0_win_intel64_20240425_general.zip

b) opencv_videoio_ffmpeg.dll

https://raw.githubusercontent.com/opencv/opencv_3rdparty/d63d7c154c57242bf2283be61166be2bd30ec47e/ffmpeg/opencv_videoio_ffmpeg.dll

c) opencv_videoio_ffmpeg_64.dll

https://raw.githubusercontent.com/opencv/opencv_3rdparty/d63d7c154c57242bf2283be61166be2bd30ec47e/ffmpeg/opencv_videoio_ffmpeg_64.dll

 

关键编译选项

建议勾选:

a. OPENCV_DNN_CUDA     dnn模块使用cuda加速       需要配置CUDNN_LIBRARY 和 CUDNN_INCLUDE_DIR的路径

b. WITH_EIGEN 把EIGEN 编译进去, 需要额外的eigen库

c. WITH_CUDA 启用cuda加速,必选

d. WITH_CUDNN 启用cudnn 加速,必选

e. BUIlD_opencv_world 打包成一个world文件.

f. CUDA_FAST_MAT 和 ENABLE_FAST_MATH   Make use of fast math library.

g. 配置opencv_contrib路径;  OPENCV_EXTRA_MODULES_PATH=E:\HW-Traffic\5_Source\Source\opencv_contrib-4.11.0\modules

i. 配置freetype

 

最后freetype 再To be built里面就行

 j. 勾选OPENCV_ENABLE_NONFREE

k. 启用Nvidia Video Codec SDK 编解码: WITH_NVCUVENC WITH_NVCUVID

 

 

 

ARCH对应表可以通过网址查询:

https://developer.nvidia.com/cuda-gpus

修改 ARCH:

5.0;5.2;6.0;6.1;7.0;7.5;8.0;8.6;8.9;9.0

7.5;8.6;8.9;12.0

常用的几款列举:

NVIDIA T4 Quadro RTX Geforce RTX 20 7.5

NVIDIA A10  RTX Geforce RTX 30 8.6

Geforce RTX 40 NVIDIA L40 8.9

Geforce RTX 50 12.0

 

建议取消勾选:

a. OPENCV_GENERATE_SETUPVARS  若build目录是不是子目录,会有警告

b. BUILD_TESTS 编译测试工程

c. BUILD_opencv_ts 编译测试模块

d. BUILD_EXAMPLES 编译例子工程

e. BUILD_JAVA java工程

 

部分报错:

 

2. harfbuzz报错的话

18>harfbuzz.lib(harfbuzz.obj) : error LNK2038: 检测到“_ITERATOR_DEBUG_LEVEL”的不匹配项: 值“0”不匹配值“2”(algorithm.obj 中)
18>harfbuzz.lib(harfbuzz.obj) : error LNK2038: 检测到“RuntimeLibrary”的不匹配项: 值“MD_DynamicRelease”不匹配值“MDd_DynamicDebug”(algorithm.obj 中)

debug 和release 不匹配. 

 

OpenCV modules:

To be built: alphamat 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 freetype fuzzy gapi hfs highgui img_hash imgcodecs imgproc intensity_transform line_descriptor mcc ml objdetect optflow phase_unwrapping photo plot quality rapid reg rgbd saliency shape signal stereo stitching structured_light superres surface_matching text tracking video videoio videostab wechat_qrcode world xfeatures2d ximgproc xobjdetect xphoto

Disabled: java_bindings_generator python_bindings_generator python_tests ts

Disabled by dependency: -

Unavailable: cannops cvv fastcv hdf java julia matlab ovis python2 python3 sfm viz

Applications: apps

Documentation: NO

Non-free algorithms: YES

 

Windows RT support: NO

 

GUI:

Win32 UI: YES

VTK support: NO

 

Media I/O:

ZLib: build (ver 1.3.1)

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

SIMD Support Request: YES

SIMD Support: NO

WEBP: build (ver decoder: 0x0209, encoder: 0x020f, demux: 0x0107)

AVIF: NO

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)

GIF: NO

HDR: YES

SUNRASTER: YES

PXM: YES

PFM: YES

 

Video I/O:

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: 2021.12.0 [2021.12.0]

at: E:/HW-Traffic/5_Source/Source/opencv-4.11.0/build/3rdparty/ippicv/ippicv_win/icv

Intel IPP IW: sources (2021.12.0)

at: E:/HW-Traffic/5_Source/Source/opencv-4.11.0/build/3rdparty/ippicv/ippicv_win/iw

Lapack: NO

Eigen: YES (ver ..)

Custom HAL: NO

Protobuf: build (3.19.1)

Flatbuffers: builtin/3rdparty (23.5.9)

 

NVIDIA CUDA: YES (ver 12.8, CUFFT CUBLAS NVCUVID NVCUVENC FAST_MATH)

NVIDIA GPU arch: 75 86 89 120

NVIDIA PTX archs: 90

 

cuDNN: YES (ver 9.8.0)

 

OpenCL: YES (NVD3D11)

Include path: E:/HW-Traffic/5_Source/Source/opencv-4.11.0/3rdparty/include/opencl/1.2

Link libraries: Dynamic load

 

Python (for build): NO

 

Install to: E:/HW-Traffic/5_Source/Source/opencv-4.11.0/build/install

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Configuring done (8.6s)