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
112 lines
4.5 KiB
C++
112 lines
4.5 KiB
C++
/*M///////////////////////////////////////////////////////////////////////////////////////
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//
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// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
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//
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// By downloading, copying, installing or using the software you agree to this license.
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// If you do not agree to this license, do not download, install,
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// copy or use the software.
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//
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//
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// License Agreement
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// For Open Source Computer Vision Library
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//
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// Copyright (C) 2010-2012, Multicoreware, Inc., all rights reserved.
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// Copyright (C) 2010-2012, Advanced Micro Devices, Inc., all rights reserved.
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// Third party copyrights are property of their respective owners.
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//
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// @Authors
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// Fangfang Bai, fangfang@multicorewareinc.com
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// Jin Ma, jin@multicorewareinc.com
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//
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// Redistribution and use in source and binary forms, with or without modification,
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// are permitted provided that the following conditions are met:
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//
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// * Redistribution's of source code must retain the above copyright notice,
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// this list of conditions and the following disclaimer.
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//
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// * Redistribution's in binary form must reproduce the above copyright notice,
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// this list of conditions and the following disclaimer in the documentation
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// and/or other materials provided with the distribution.
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//
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// * The name of the copyright holders may not be used to endorse or promote products
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// derived from this software without specific prior written permission.
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//
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// This software is provided by the copyright holders and contributors as is and
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// any express or implied warranties, including, but not limited to, the implied
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// warranties of merchantability and fitness for a particular purpose are disclaimed.
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// In no event shall the Intel Corporation or contributors be liable for any direct,
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// indirect, incidental, special, exemplary, or consequential damages
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// (including, but not limited to, procurement of substitute goods or services;
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// loss of use, data, or profits; or business interruption) however caused
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// and on any theory of liability, whether in contract, strict liability,
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// or tort (including negligence or otherwise) arising in any way out of
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// the use of this software, even if advised of the possibility of such damage.
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//
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//M*/
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#include "../perf_precomp.hpp"
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#include "opencv2/ts/ocl_perf.hpp"
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#ifdef HAVE_OPENCL
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namespace opencv_test {
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namespace ocl {
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///////////// FarnebackOpticalFlow ////////////////////////
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CV_ENUM(farneFlagType, 0, OPTFLOW_FARNEBACK_GAUSSIAN)
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typedef tuple< tuple<int, double>, farneFlagType, bool > FarnebackOpticalFlowParams;
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typedef TestBaseWithParam<FarnebackOpticalFlowParams> FarnebackOpticalFlowFixture;
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OCL_PERF_TEST_P(FarnebackOpticalFlowFixture, FarnebackOpticalFlow,
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::testing::Combine(
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::testing::Values(
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make_tuple<int, double>(5, 1.1),
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make_tuple<int, double>(7, 1.5)
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),
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farneFlagType::all(),
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::testing::Bool()
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)
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)
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{
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Mat frame0 = imread(getDataPath("gpu/opticalflow/rubberwhale1.png"), cv::IMREAD_GRAYSCALE);
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ASSERT_FALSE(frame0.empty()) << "can't load rubberwhale1.png";
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Mat frame1 = imread(getDataPath("gpu/opticalflow/rubberwhale2.png"), cv::IMREAD_GRAYSCALE);
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ASSERT_FALSE(frame1.empty()) << "can't load rubberwhale2.png";
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const Size srcSize = frame0.size();
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const int numLevels = 5;
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const int winSize = 13;
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const int numIters = 10;
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const FarnebackOpticalFlowParams params = GetParam();
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const tuple<int, double> polyParams = get<0>(params);
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const int polyN = get<0>(polyParams);
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const double polySigma = get<1>(polyParams);
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const double pyrScale = 0.5;
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int flags = get<1>(params);
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const bool useInitFlow = get<2>(params);
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const double eps = 0.1;
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UMat uFrame0; frame0.copyTo(uFrame0);
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UMat uFrame1; frame1.copyTo(uFrame1);
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UMat uFlow(srcSize, CV_32FC2);
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declare.in(uFrame0, uFrame1, WARMUP_READ).out(uFlow, WARMUP_READ);
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if (useInitFlow)
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{
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cv::calcOpticalFlowFarneback(uFrame0, uFrame1, uFlow, pyrScale, numLevels, winSize, numIters, polyN, polySigma, flags);
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flags |= OPTFLOW_USE_INITIAL_FLOW;
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}
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OCL_TEST_CYCLE()
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cv::calcOpticalFlowFarneback(uFrame0, uFrame1, uFlow, pyrScale, numLevels, winSize, numIters, polyN, polySigma, flags);
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SANITY_CHECK(uFlow, eps, ERROR_RELATIVE);
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}
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} } // namespace opencv_test::ocl
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#endif // HAVE_OPENCL
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