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*
```