feat: 切换后端至PaddleOCR-NCNN,切换工程为CMake
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
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134
3rdparty/opencv-4.5.4/modules/imgproc/perf/opencl/perf_pyramid.cpp
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3rdparty/opencv-4.5.4/modules/imgproc/perf/opencl/perf_pyramid.cpp
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/*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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// 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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///////////// PyrDown //////////////////////
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typedef Size_MatType PyrDownFixture;
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OCL_PERF_TEST_P(PyrDownFixture, PyrDown,
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::testing::Combine(OCL_TEST_SIZES, OCL_TEST_TYPES_134))
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{
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const Size_MatType_t params = GetParam();
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const Size srcSize = get<0>(params);
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const int type = get<1>(params);
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const Size dstSize((srcSize.height + 1) >> 1, (srcSize.width + 1) >> 1);
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const double eps = CV_MAT_DEPTH(type) <= CV_32S ? 1 : 1e-5;
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checkDeviceMaxMemoryAllocSize(srcSize, type);
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checkDeviceMaxMemoryAllocSize(dstSize, type);
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UMat src(srcSize, type), dst(dstSize, type);
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declare.in(src, WARMUP_RNG).out(dst);
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OCL_TEST_CYCLE() cv::pyrDown(src, dst);
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SANITY_CHECK(dst, eps);
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}
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///////////// PyrUp ////////////////////////
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typedef Size_MatType PyrUpFixture;
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OCL_PERF_TEST_P(PyrUpFixture, PyrUp,
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::testing::Combine(OCL_TEST_SIZES, OCL_TEST_TYPES_134))
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{
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const Size_MatType_t params = GetParam();
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const Size srcSize = get<0>(params);
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const int type = get<1>(params);
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const Size dstSize(srcSize.height << 1, srcSize.width << 1);
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const double eps = CV_MAT_DEPTH(type) <= CV_32S ? 1 : 1e-5;
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checkDeviceMaxMemoryAllocSize(srcSize, type);
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checkDeviceMaxMemoryAllocSize(dstSize, type);
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UMat src(srcSize, type), dst(dstSize, type);
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declare.in(src, WARMUP_RNG).out(dst);
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OCL_TEST_CYCLE() cv::pyrUp(src, dst);
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SANITY_CHECK(dst, eps);
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}
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///////////// buildPyramid ////////////////////////
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typedef Size_MatType BuildPyramidFixture;
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OCL_PERF_TEST_P(BuildPyramidFixture, BuildPyramid,
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::testing::Combine(OCL_TEST_SIZES, OCL_TEST_TYPES_134))
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{
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const Size_MatType_t params = GetParam();
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const Size srcSize = get<0>(params);
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const int type = get<1>(params), maxLevel = 5;
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const double eps = CV_MAT_DEPTH(type) <= CV_32S ? 1 : 1e-5;
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checkDeviceMaxMemoryAllocSize(srcSize, type);
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std::vector<UMat> dst(maxLevel);
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UMat src(srcSize, type);
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declare.in(src, WARMUP_RNG);
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OCL_TEST_CYCLE() cv::buildPyramid(src, dst, maxLevel);
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UMat dst0 = dst[0], dst1 = dst[1], dst2 = dst[2], dst3 = dst[3], dst4 = dst[4];
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SANITY_CHECK(dst0, eps);
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SANITY_CHECK(dst1, eps);
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SANITY_CHECK(dst2, eps);
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SANITY_CHECK(dst3, eps);
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SANITY_CHECK(dst4, eps);
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}
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} } // namespace opencv_test::ocl
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#endif // HAVE_OPENCL
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