mirror of
https://github.com/opencv/opencv.git
synced 2026-07-29 07:13:02 +04:00
Prasad Ayush Kumar
b022a9b321
Extracting IPP integaration as HAL for Canny #29434 Backport of : https://github.com/opencv/opencv/pull/29433 **Performance Numbers on Intel(R) Core(TM) i9-11900K:** https://docs.google.com/spreadsheets/d/1RMvUZP1tSQtdjuNQY9JasYmlx1L5iN9XWGhXtG5u1uI/edit?usp=sharing ### Pull Request Readiness Checklist See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request - [x] I agree to contribute to the project under Apache 2 License. - [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV - [x] The PR is proposed to the proper branch - [x] There is a reference to the original bug report and related work - [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable Patch to opencv_extra has the same branch name. - [x] The feature is well documented and sample code can be built with the project CMake
96 lines
3.1 KiB
C++
96 lines
3.1 KiB
C++
// This file is part of OpenCV project.
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// It is subject to the license terms in the LICENSE file found in the top-level directory
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// of this distribution and at http://opencv.org/license.html
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// Copyright (C) 2026, BigVision LLC, all rights reserved.
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// Third party copyrights are property of their respective owners.
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#include "ipp_hal_imgproc.hpp"
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#ifdef HAVE_IPP_IW
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#include <opencv2/core.hpp>
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#include "precomp_ipp.hpp"
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int ipp_hal_canny(const uchar* src_data, size_t src_step, uchar* dst_data, size_t dst_step,
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int width, int height, int cn,
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double lowThreshold, double highThreshold, int ksize, bool L2gradient)
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{
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CV_HAL_CHECK_USE_IPP();
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#if IPP_DISABLE_PERF_CANNY_MT
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if(cv::getNumThreads() > 1)
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return CV_HAL_ERROR_NOT_IMPLEMENTED;
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#endif
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if(width <= 3 || height <= 3)
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return CV_HAL_ERROR_NOT_IMPLEMENTED;
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if(cn != 1)
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return CV_HAL_ERROR_NOT_IMPLEMENTED;
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IppiMaskSize kernel;
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if(ksize == 3)
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kernel = ippMskSize3x3;
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else if(ksize == 5)
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kernel = ippMskSize5x5;
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else
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return CV_HAL_ERROR_NOT_IMPLEMENTED;
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IppNormType norm = L2gradient ? ippNormL2 : ippNormL1;
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try
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{
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::ipp::IwiImage iwSrc, iwDst;
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iwSrc.Init(IwiSize{width, height}, ipp8u, cn, ::ipp::IwiBorderSize(), (void*)src_data, IwSize(src_step));
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iwDst.Init(IwiSize{width, height}, ipp8u, cn, ::ipp::IwiBorderSize(), dst_data, IwSize(dst_step));
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CV_INSTRUMENT_FUN_IPP(::ipp::iwiFilterCanny, iwSrc, iwDst, (float)lowThreshold, (float)highThreshold,
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::ipp::IwiFilterCannyParams(ippFilterSobel, kernel, norm), ippBorderRepl);
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}
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catch (const ::ipp::IwException &)
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{
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return CV_HAL_ERROR_NOT_IMPLEMENTED;
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}
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return CV_HAL_ERROR_OK;
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}
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int ipp_hal_canny_deriv(const short* dx_data, size_t dx_step, const short* dy_data, size_t dy_step,
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uchar* dst_data, size_t dst_step, int width, int height, int cn,
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double lowThreshold, double highThreshold, bool L2gradient)
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{
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CV_HAL_CHECK_USE_IPP();
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#if IPP_DISABLE_PERF_CANNY_MT
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if(cv::getNumThreads() > 1)
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return CV_HAL_ERROR_NOT_IMPLEMENTED;
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#endif
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if(width <= 3 || height <= 3)
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return CV_HAL_ERROR_NOT_IMPLEMENTED;
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if(cn != 1)
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return CV_HAL_ERROR_NOT_IMPLEMENTED;
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IppNormType norm = L2gradient ? ippNormL2 : ippNormL1;
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try
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{
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::ipp::IwiImage iwSrcDx, iwSrcDy, iwDst;
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iwSrcDx.Init(IwiSize{width, height}, ipp16s, cn, ::ipp::IwiBorderSize(), (void*)dx_data, IwSize(dx_step));
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iwSrcDy.Init(IwiSize{width, height}, ipp16s, cn, ::ipp::IwiBorderSize(), (void*)dy_data, IwSize(dy_step));
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iwDst.Init(IwiSize{width, height}, ipp8u, cn, ::ipp::IwiBorderSize(), dst_data, IwSize(dst_step));
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CV_INSTRUMENT_FUN_IPP(::ipp::iwiFilterCannyDeriv, iwSrcDx, iwSrcDy, iwDst, (float)lowThreshold, (float)highThreshold,
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::ipp::IwiFilterCannyDerivParams(norm));
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}
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catch (const ::ipp::IwException &)
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{
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return CV_HAL_ERROR_NOT_IMPLEMENTED;
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}
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return CV_HAL_ERROR_OK;
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}
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#endif
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