OpenCV教學

如何看OpenCV當初編譯的編譯參數設定

本篇介紹如何看 OpenCV 當初編譯 build 的編譯參數設定，有時可能會有這種需求，可能是當初自己build的但原始碼已經刪了，可能是下載別人編譯好的，等等多種情形下想要知道OpenCV當初編譯的參數，以下將列出幾種方式去查詢。

方法一：執行 opencv_version 程式來查看

opencv_version 這隻程式會印出你的opencv版本號之外，還可以令它輸出當初 OpenCV 編譯時編譯參數設定，
opencv_version 這支程式在 apps/version/opencv_version.cpp 下可以找到原始碼，不是samples/cpp/opencv_version.cpp 這支唷！
具體指令為

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$ opencv_version -v

輸出如下︰

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General configuration for OpenCV 3.4.8 =====================================
  Version control:               unknown

  Platform:
    Timestamp:                   2019-12-02T23:50:14Z
    Host:                        Linux 4.10.0-40-generic x86_64
    CMake:                       3.5.1
    CMake generator:             Unix Makefiles
    CMake build tool:            /usr/bin/make
    Configuration:               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 (15 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 (6 files):             + SSSE3 SSE4_1 POPCNT SSE4_2 AVX
      AVX2 (28 files):           + SSSE3 SSE4_1 POPCNT SSE4_2 FP16 FMA3 AVX AVX2
      AVX512_SKX (6 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++ Compiler:                /usr/bin/c++  (ver 5.4.0)
    C++ flags (Release):         -fsigned-char -W -Wall -Werror=return-type -Werror=non-virtual-dtor -Werror=address -Werror=sequence-point -Wformat -Werror=format-security -Wmissing-declarations -Wundef -Winit-self -Wpointer-arith -Wshadow -Wsign-promo -Wuninitialized -Winit-self -Wno-delete-non-virtual-dtor -Wno-comment -fdiagnostics-show-option -Wno-long-long -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections  -msse -msse2 -msse3 -fvisibility=hidden -fvisibility-inlines-hidden -O3 -DNDEBUG  -DNDEBUG
    C++ flags (Debug):           -fsigned-char -W -Wall -Werror=return-type -Werror=non-virtual-dtor -Werror=address -Werror=sequence-point -Wformat -Werror=format-security -Wmissing-declarations -Wundef -Winit-self -Wpointer-arith -Wshadow -Wsign-promo -Wuninitialized -Winit-self -Wno-delete-non-virtual-dtor -Wno-comment -fdiagnostics-show-option -Wno-long-long -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections  -msse -msse2 -msse3 -fvisibility=hidden -fvisibility-inlines-hidden -g  -O0 -DDEBUG -D_DEBUG
    C Compiler:                  /usr/bin/cc
    C flags (Release):           -fsigned-char -W -Wall -Werror=return-type -Werror=non-virtual-dtor -Werror=address -Werror=sequence-point -Wformat -Werror=format-security -Wmissing-declarations -Wmissing-prototypes -Wstrict-prototypes -Wundef -Winit-self -Wpointer-arith -Wshadow -Wuninitialized -Winit-self -Wno-comment -fdiagnostics-show-option -Wno-long-long -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections  -msse -msse2 -msse3 -fvisibility=hidden -O3 -DNDEBUG  -DNDEBUG
    C flags (Debug):             -fsigned-char -W -Wall -Werror=return-type -Werror=non-virtual-dtor -Werror=address -Werror=sequence-point -Wformat -Werror=format-security -Wmissing-declarations -Wmissing-prototypes -Wstrict-prototypes -Wundef -Winit-self -Wpointer-arith -Wshadow -Wuninitialized -Winit-self -Wno-comment -fdiagnostics-show-option -Wno-long-long -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections  -msse -msse2 -msse3 -fvisibility=hidden -g  -O0 -DDEBUG -D_DEBUG
    Linker flags (Release):      -Wl,--gc-sections  
    Linker flags (Debug):        -Wl,--gc-sections  
    ccache:                      NO
    Precompiled headers:         NO
    Extra dependencies:          dl m pthread rt
    3rdparty dependencies:

  OpenCV modules:
    To be built:                 calib3d core dnn features2d flann highgui imgcodecs imgproc ml objdetect photo python2 python3 shape stitching superres ts video videoio videostab
    Disabled:                    world
    Disabled by dependency:      -
    Unavailable:                 cudaarithm cudabgsegm cudacodec cudafeatures2d cudafilters cudaimgproc cudalegacy cudaobjdetect cudaoptflow cudastereo cudawarping cudev java js viz
    Applications:                tests perf_tests apps
    Documentation:               NO
    Non-free algorithms:         NO

  GUI: 
    GTK+:                        YES (ver 2.24.30)
      GThread :                  YES (ver 2.48.2)
      GtkGlExt:                  NO
    VTK support:                 NO

  Media I/O: 
    ZLib:                        /usr/lib/x86_64-linux-gnu/libz.so (ver 1.2.8)
    JPEG:                        /usr/lib/x86_64-linux-gnu/libjpeg.so (ver 80)
    WEBP:                        build (ver encoder: 0x020e)
    PNG:                         /usr/lib/x86_64-linux-gnu/libpng.so (ver 1.2.54)
    TIFF:                        /usr/lib/x86_64-linux-gnu/libtiff.so (ver 42 / 4.0.6)
    JPEG 2000:                   /usr/lib/x86_64-linux-gnu/libjasper.so (ver 1.900.1)
    OpenEXR:                     /usr/lib/x86_64-linux-gnu/libImath.so /usr/lib/x86_64-linux-gnu/libIlmImf.so /usr/lib/x86_64-linux-gnu/libIex.so /usr/lib/x86_64-linux-gnu/libHalf.so /usr/lib/x86_64-linux-gnu/libIlmThread.so (ver 2.2.0)
    HDR:                         YES
    SUNRASTER:                   YES
    PXM:                         YES

  Video I/O:
    DC1394:                      YES (ver 2.2.4)
    FFMPEG:                      YES
      avcodec:                   YES (ver 56.60.100)
      avformat:                  YES (ver 56.40.101)
      avutil:                    YES (ver 54.31.100)
      swscale:                   YES (ver 3.1.101)
      avresample:                NO
    GStreamer:                   NO
    libv4l/libv4l2:              NO
    v4l/v4l2:                    linux/videodev2.h

  Parallel framework:            pthreads

  Trace:                         YES (with Intel ITT)

  Other third-party libraries:
    Intel IPP:                   2019.0.0 Gold [2019.0.0]
           at:                   /home/shengyu/build_opencv348/opencv-3.4.8/build/3rdparty/ippicv/ippicv_lnx/icv
    Intel IPP IW:                sources (2019.0.0)
              at:                /home/shengyu/build_opencv348/opencv-3.4.8/build/3rdparty/ippicv/ippicv_lnx/iw
    Lapack:                      NO
    Eigen:                       YES (ver 3.2.92)
    Custom HAL:                  NO
    Protobuf:                    build (3.5.1)

  OpenCL:                        YES (no extra features)
    Include path:                /home/shengyu/build_opencv348/opencv-3.4.8/3rdparty/include/opencl/1.2
    Link libraries:              Dynamic load

  Python 2:
    Interpreter:                 /usr/bin/python2.7 (ver 2.7.12)
    Libraries:                   /usr/lib/x86_64-linux-gnu/libpython2.7.so (ver 2.7.12)
    numpy:                       /home/shengyu/.local/lib/python2.7/site-packages/numpy/core/include (ver 1.13.3)
    install path:                lib/python2.7/dist-packages/cv2/python-2.7

  Python 3:
    Interpreter:                 /usr/bin/python3 (ver 3.5.2)
    Libraries:                   /usr/lib/x86_64-linux-gnu/libpython3.5m.so (ver 3.5.2)
    numpy:                       /home/shengyu/.local/lib/python3.5/site-packages/numpy/core/include (ver 1.15.4)
    install path:                lib/python3.5/dist-packages/cv2/python-3.5

  Python (for build):            /usr/bin/python2.7

  Java:                          
    ant:                         NO
    JNI:                         /usr/lib/jvm/default-java/include /usr/lib/jvm/default-java/include/linux /usr/lib/jvm/default-java/include
    Java wrappers:               NO
    Java tests:                  NO

  Install to:                    /usr/local
-----------------------------------------------------------------

方法二：寫程式呼叫 getBuildInformation() 函式

C/C++ 的寫法如下所示：

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#include <opencv2/opencv.hpp>

int main(void) {
    std::cout << cv::getBuildInformation() << std::endl;
}

Python 的寫法如下所示：

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import cv2
print(cv2.getBuildInformation())

方法三：查看安裝到系統的 cvconfig.h

查看 opencv2/cvconfig.h
Ubuntu 安裝通常會安裝在 /usr/local/include/ 下
所以可以查看這個路徑下，指令為：

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$ cat /usr/local/include/opencv2/cvconfig.h

輸出如下︰

/usr/local/include/opencv2/cvconfig.h
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#ifndef OPENCV_CVCONFIG_H_INCLUDED
#define OPENCV_CVCONFIG_H_INCLUDED

/* OpenCV compiled as static or dynamic libs */
#define BUILD_SHARED_LIBS

/* OpenCV intrinsics optimized code */
#define CV_ENABLE_INTRINSICS

/* OpenCV additional optimized code */
/* #undef CV_DISABLE_OPTIMIZATION */

/* Compile for 'real' NVIDIA GPU architectures */
#define CUDA_ARCH_BIN ""

/* Create PTX or BIN for 1.0 compute capability */
/* #undef CUDA_ARCH_BIN_OR_PTX_10 */

/* NVIDIA GPU features are used */
#define CUDA_ARCH_FEATURES ""

/* Compile for 'virtual' NVIDIA PTX architectures */
#define CUDA_ARCH_PTX ""

/* AVFoundation video libraries */
/* #undef HAVE_AVFOUNDATION */

/* V4L capturing support */
/* #undef HAVE_CAMV4L */

/* V4L2 capturing support */
#define HAVE_CAMV4L2

//...

#endif // OPENCV_CVCONFIG_H_INCLUDED

參考
[1] How to view OpenCV Build Information - Stack Overflow
https://stackoverflow.com/questions/19106755/how-to-view-opencv-build-information
[2] Get OpenCV Build Information ( getBuildInformation ) | Learn OpenCV
https://www.learnopencv.com/get-opencv-build-information-getbuildinformation/

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