Open Source Computer Vision Library https://opencv.org/
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Custom HAL samples

Samples in this folder are intended to demonstrate functionality replacement mechanism in the OpenCV library.

The c_hal is the example of pure C replacement library with all functions returning error. It can be used to verify error handling in the function switching code.

The slow_hal contains naive C++ implementations of the element-wise logical array operations (and, or, xor, not) making them twice slower than the default.

Build custom HAL replacement library

  1. Create folder for build (for example <home-dir>/my-hal-build)
  2. Go to the created folder and run cmake: cmake <opencv-src>/samples/hal/slow_hal
  3. Run make

After build you will find static library in the build folder: libslow_hal.a

Build OpenCV with HAL replacement

  1. Create folder for build (for example <home-dir>/my-opencv-build)
  2. Go to the created folder and run cmake:
    cmake \
        -DOpenCV_HAL_DIR="<home-dir>/my-hal-build/" \
        <opencv-src>
    
  3. Run make (or make opencv_perf_core to build the demonstration test executable only)
  4. After build you can run the tests and verify that some functions works slower:
    ./bin/opencv_perf_core --gtest_filter=*bitwise_and*