718c41634f
1.项目后端整体迁移至PaddleOCR-NCNN算法，已通过基本的兼容性测试 2.工程改为使用CMake组织，后续为了更好地兼容第三方库，不再提供QMake工程 3.重整权利声明文件，重整代码工程，确保最小化侵权风险 Log: 切换后端至PaddleOCR-NCNN，切换工程为CMake Change-Id: I4d5d2c5d37505a4a24b389b1a4c5d12f17bfa38c
34 lines
1.3 KiB
Markdown
34 lines
1.3 KiB
Markdown
Custom HAL samples
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==================
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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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------------------------------------
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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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---------------------------------
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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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