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
134 lines
4.9 KiB
C++
134 lines
4.9 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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//
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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 "../test_precomp.hpp"
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#include "opencv2/ts/ocl_test.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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///////////////////////////////////////////// matchTemplate //////////////////////////////////////////////////////////
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CV_ENUM(MatchTemplType, CV_TM_CCORR, CV_TM_CCORR_NORMED, CV_TM_SQDIFF, CV_TM_SQDIFF_NORMED, CV_TM_CCOEFF, CV_TM_CCOEFF_NORMED)
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PARAM_TEST_CASE(MatchTemplate, MatDepth, Channels, MatchTemplType, bool)
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{
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int type;
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int depth;
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int method;
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bool use_roi;
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TEST_DECLARE_INPUT_PARAMETER(image);
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TEST_DECLARE_INPUT_PARAMETER(templ);
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TEST_DECLARE_OUTPUT_PARAMETER(result);
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virtual void SetUp()
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{
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type = CV_MAKE_TYPE(GET_PARAM(0), GET_PARAM(1));
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depth = GET_PARAM(0);
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method = GET_PARAM(2);
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use_roi = GET_PARAM(3);
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}
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void generateTestData()
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{
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Size image_roiSize = randomSize(2, 100);
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Size templ_roiSize = Size(randomInt(1, image_roiSize.width), randomInt(1, image_roiSize.height));
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Size result_roiSize = Size(image_roiSize.width - templ_roiSize.width + 1,
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image_roiSize.height - templ_roiSize.height + 1);
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const double upValue = 256;
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Border imageBorder = randomBorder(0, use_roi ? MAX_VALUE : 0);
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randomSubMat(image, image_roi, image_roiSize, imageBorder, type, -upValue, upValue);
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Border templBorder = randomBorder(0, use_roi ? MAX_VALUE : 0);
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randomSubMat(templ, templ_roi, templ_roiSize, templBorder, type, -upValue, upValue);
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Border resultBorder = randomBorder(0, use_roi ? MAX_VALUE : 0);
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randomSubMat(result, result_roi, result_roiSize, resultBorder, CV_32FC1, -upValue, upValue);
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UMAT_UPLOAD_INPUT_PARAMETER(image);
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UMAT_UPLOAD_INPUT_PARAMETER(templ);
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UMAT_UPLOAD_OUTPUT_PARAMETER(result);
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}
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void Near()
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{
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bool isNormed =
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method == TM_CCORR_NORMED ||
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method == TM_SQDIFF_NORMED ||
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method == TM_CCOEFF_NORMED;
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if (isNormed)
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OCL_EXPECT_MATS_NEAR(result, 3e-2);
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else
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OCL_EXPECT_MATS_NEAR_RELATIVE_SPARSE(result, 1.5e-2);
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}
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};
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OCL_TEST_P(MatchTemplate, Mat)
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{
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for (int j = 0; j < test_loop_times; j++)
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{
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generateTestData();
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OCL_OFF(cv::matchTemplate(image_roi, templ_roi, result_roi, method));
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OCL_ON(cv::matchTemplate(uimage_roi, utempl_roi, uresult_roi, method));
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Near();
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}
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}
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OCL_INSTANTIATE_TEST_CASE_P(ImageProc, MatchTemplate, Combine(
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Values(CV_8U, CV_32F),
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Values(1, 2, 3, 4),
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MatchTemplType::all(),
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Bool())
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);
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} } // namespace opencv_test::ocl
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#endif
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