opencv_version_win32

发布于:2025-05-22 ⋅ 阅读:(21) ⋅ 点赞:(0)

很多人发了opencv的编译方法,很少见到启动和关闭了那些模块,现在发个WIN64 opencv编译后的信息。
执行opencv_version_win32.exe
因为显卡较老 2060 super, NVIDIA GPU arch: 75 80 86 87 89 90。至于更高的反本没有显卡因此不知道。
BLAS库使用效率较高的Intel MKL代替
仅编译时长超过了5小时

General configuration for OpenCV 4.12.0-dev =====================================
  Version control:               4.11.0-414-g9d2d927fa9-dirty

  Extra modules:
    Location (extra):            D:/build/opencv/opencv_contrib/modules
    Version control (extra):     4.11.0-43-geebd8977-dirty

  Platform:
    Timestamp:                   2025-05-20T14:46:08Z
    Host:                        Windows 10.0.26100 AMD64
    CMake:                       3.31.6
    CMake generator:             Visual Studio 16 2019
    CMake build tool:            C:/Program Files (x86)/Microsoft Visual Studio/2019/Professional/MSBuild/Current/Bin/MSBuild.exe
    MSVC:                        1929
    Configuration:               Debug Release
    Algorithm Hint:              ALGO_HINT_ACCURATE

  CPU/HW features:
    Baseline:                    SSE SSE2 SSE3
      requested:                 SSE3
    Dispatched code generation:  SSE4_1 SSE4_2 AVX FP16 AVX2 AVX512_SKX
      SSE4_1 (17 files):         + SSSE3 SSE4_1
      SSE4_2 (1 files):          + SSSE3 SSE4_1 POPCNT SSE4_2
      AVX (9 files):             + SSSE3 SSE4_1 POPCNT SSE4_2 AVX
      FP16 (0 files):            + SSSE3 SSE4_1 POPCNT SSE4_2 AVX FP16
      AVX2 (37 files):           + SSSE3 SSE4_1 POPCNT SSE4_2 AVX FP16 AVX2 FMA3
      AVX512_SKX (6 files):      + SSSE3 SSE4_1 POPCNT SSE4_2 AVX FP16 AVX2 FMA3 AVX_512F AVX512_COMMON AVX512_SKX

  C/C++:
    Built as dynamic libs?:      YES
    C++ standard:                17
    C++ Compiler:                C:/Program Files (x86)/Microsoft Visual Studio/2019/Professional/VC/Tools/MSVC/14.29.30133/bin/Hostx64/x64/cl.exe  (ver 19.29.30159.0)
    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:fast    /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:fast    /EHa /wd4127 /wd4251 /wd4324 /wd4275 /wd4512 /wd4589 /wd4819 /MP  /Zi /Ob0 /Od /RTC1
    C Compiler:                  C:/Program Files (x86)/Microsoft Visual Studio/2019/Professional/VC/Tools/MSVC/14.29.30133/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:fast    /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:fast    /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:D:/tools/cuda12/lib/x64
    3rdparty dependencies:

  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 fuzzy gapi hdf hfs highgui img_hash imgcodecs imgproc intensity_transform line_descriptor mcc ml objdetect optflow phase_unwrapping photo plot python3 quality rapid reg rgbd saliency sfm shape signal stereo stitching structured_light superres surface_matching text tracking ts video videoio videostab viz wechat_qrcode world xfeatures2d ximgproc xobjdetect xphoto
    Disabled:                    cvv python_tests
    Disabled by dependency:      -
    Unavailable:                 cannops fastcv freetype java js julia matlab ovis python2 python2
    Applications:                perf_tests examples apps
    Documentation:               js
    Non-free algorithms:         YES

  Windows RT support:            NO

  GUI:
    QT:                          YES (ver 5.15.2 )
      QT OpenGL support:         YES (Qt5::OpenGL 5.15.2)
    Win32 UI:                    YES
    OpenGL support:              YES (opengl32 glu32)
    VTK support:                 YES (ver 9.4.2)

  Media I/O:
    ZLib:                        build (ver 1.3.1)
    JPEG:                        build-libjpeg-turbo (ver 3.1.0-70)
      SIMD Support Request:      YES
      SIMD Support:              YES
    WEBP:                        build (ver decoder: 0x0209, encoder: 0x020f, demux: 0x0107)
    AVIF:                        D:/library/vs/libavif/lib/avif.lib
    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 2.5.3)
    OpenEXR:                     build (ver 2.3.0)
    GIF:                         YES
    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:                   YES (1.26.0)
    DirectShow:                  YES
    Media Foundation:            YES
      DXVA:                      YES
    XIMEA:                       YES

  Parallel framework:            TBB (ver 2022.1 interface 12150)

  Trace:                         YES (with Intel ITT(3.25.4))

  Other third-party libraries:
    Intel IPP:                   2022.0.0 [2022.0.0]
           at:                   D:/build/opencv/build1/3rdparty/ippicv/ippicv_win/icv
    Intel IPP IW:                sources (2022.0.0)
              at:                D:/build/opencv/build1/3rdparty/ippicv/ippicv_win/iw
    Lapack:                      YES (D:/tools/mkl/lib/mkl_intel_lp64.lib D:/tools/mkl/lib/mkl_sequential.lib D:/tools/mkl/lib/mkl_core.lib)
    Eigen:                       YES (ver ..)
    Custom HAL:                  YES (ipp (ver 0.0.1))
    Protobuf:                    build (3.19.1)
    Flatbuffers:                 builtin/3rdparty (23.5.9)

  NVIDIA CUDA:                   YES (ver 12.6, CUFFT CUBLAS NVCUVID NVCUVENC FAST_MATH)
    NVIDIA GPU arch:             75 80 86 87 89 90
    NVIDIA PTX archs:

  cuDNN:                         YES (ver 9.10.1)

  Vulkan:                        YES
    Include path:                D:/build/opencv/3rdparty/include
    Link libraries:              Dynamic load

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

  Python 3:
    Interpreter:                 D:/tools/anaconda3/python.exe (ver 3.12.7)
    Libraries:                   D:/tools/anaconda3/libs/python3.lib (ver 3.12.7)
    Limited API:                 NO
    numpy:                       D:/tools/anaconda3/Lib/site-packages/numpy/core/include (ver 1.26.4)
    install path:                D:/tools/anaconda3/Lib/site-packages/cv2/python-3.12

  Python (for build):            D:/tools/anaconda3/python.exe

  Java:
    ant:                         NO
    Java:                        YES (ver 1.8.0.311)
    JNI:                         D:/tools/jdk/include D:/tools/jdk/include/win32 D:/tools/jdk/include
    Java wrappers:               NO
    Java tests:                  NO

  Install to:                    D:/library/vs/opencv
-----------------------------------------------------------------


OpenCL Platforms:
    NVIDIA CUDA
        dGPU: NVIDIA GeForce RTX 2060 SUPER (OpenCL 3.0 CUDA)
    Intel(R) OpenCL
        CPU: Intel(R) Core(TM) i9-9900KF CPU @ 3.60GHz (OpenCL 3.0 (Build 0))
Current OpenCL device:
    Type = dGPU
    Name = NVIDIA GeForce RTX 2060 SUPER
    Version = OpenCL 3.0 CUDA
    Driver version = 576.02
    Address bits = 64
    Compute units = 34
    Max work group size = 1024
    Local memory size = 48 KB
    Max memory allocation size = 1 GB 1023 MB 912 KB
    Double support = Yes
    Half support = No
    Host unified memory = No
    Device extensions:
        cl_khr_global_int32_base_atomics
        cl_khr_global_int32_extended_atomics
        cl_khr_local_int32_base_atomics
        cl_khr_local_int32_extended_atomics
        cl_khr_fp64
        cl_khr_3d_image_writes
        cl_khr_byte_addressable_store
        cl_khr_icd
        cl_khr_gl_sharing
        cl_nv_compiler_options
        cl_nv_device_attribute_query
        cl_nv_pragma_unroll
        cl_nv_d3d10_sharing
        cl_khr_d3d10_sharing
        cl_nv_d3d11_sharing
        cl_nv_copy_opts
        cl_nv_create_buffer
        cl_khr_int64_base_atomics
        cl_khr_int64_extended_atomics
        cl_khr_device_uuid
        cl_khr_pci_bus_info
        cl_khr_external_semaphore
        cl_khr_external_memory
        cl_khr_external_semaphore_win32
        cl_khr_external_memory_win32
        cl_khr_semaphore
    Has AMD Blas = No
    Has AMD Fft = No
    Preferred vector width char = 1
    Preferred vector width short = 1
    Preferred vector width int = 1
    Preferred vector width long = 1
    Preferred vector width float = 1
    Preferred vector width double = 1
    Preferred vector width half = 0
OpenCV's HW features list:
    ID=  1 (MMX) -> ON
    ID=  2 (SSE) -> ON
    ID=  3 (SSE2) -> ON
    ID=  4 (SSE3) -> ON
    ID=  5 (SSSE3) -> ON
    ID=  6 (SSE4.1) -> ON
    ID=  7 (SSE4.2) -> ON
    ID=  8 (POPCNT) -> ON
    ID=  9 (FP16) -> ON
    ID= 10 (AVX) -> ON
    ID= 11 (AVX2) -> ON
    ID= 12 (FMA3) -> ON
Total available: 12
Parallel framework: tbb (nthreads=16)

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