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Open Source Computer Vision Library
https://opencv.org/
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33 lines
1.3 KiB
33 lines
1.3 KiB
Custom HAL samples |
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Samples in this folder are intended to demonstrate functionality replacement mechanism in the OpenCV library. |
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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. |
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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. |
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Build custom HAL replacement library |
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1. Create folder for build (for example `<home-dir>/my-hal-build`) |
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2. Go to the created folder and run cmake: `cmake <opencv-src>/samples/hal/slow_hal` |
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3. Run make |
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After build you will find static library in the build folder: `libslow_hal.a` |
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Build OpenCV with HAL replacement |
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1. Create folder for build (for example `<home-dir>/my-opencv-build`) |
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2. Go to the created folder and run cmake: |
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``` |
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cmake \ |
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-DOpenCV_HAL_DIR="<home-dir>/my-hal-build/" \ |
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<opencv-src> |
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``` |
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3. Run make (or `make opencv_perf_core` to build the demonstration test executable only) |
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4. After build you can run the tests and verify that some functions works slower: |
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``` |
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./bin/opencv_perf_core --gtest_filter=*bitwise_and* |
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```
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