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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wangzhengyang
140
3rdparty/opencv-4.5.4/modules/imgproc/test/ocl/test_canny.cpp
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3rdparty/opencv-4.5.4/modules/imgproc/test/ocl/test_canny.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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// Peng Xiao, pengxiao@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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//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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////////////////////////////////////////////////////////
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// Canny
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IMPLEMENT_PARAM_CLASS(ApertureSize, int)
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IMPLEMENT_PARAM_CLASS(L2gradient, bool)
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IMPLEMENT_PARAM_CLASS(UseRoi, bool)
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PARAM_TEST_CASE(Canny, Channels, ApertureSize, L2gradient, UseRoi)
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{
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int cn, aperture_size;
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bool useL2gradient, use_roi;
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TEST_DECLARE_INPUT_PARAMETER(src);
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TEST_DECLARE_OUTPUT_PARAMETER(dst);
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virtual void SetUp()
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{
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cn = GET_PARAM(0);
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aperture_size = GET_PARAM(1);
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useL2gradient = 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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Mat img = readImageType("shared/fruits.png", CV_8UC(cn));
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ASSERT_FALSE(img.empty()) << "can't load shared/fruits.png";
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Size roiSize = img.size();
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int type = img.type();
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Border srcBorder = randomBorder(0, use_roi ? MAX_VALUE : 0);
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randomSubMat(src, src_roi, roiSize, srcBorder, type, 2, 100);
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img.copyTo(src_roi);
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Border dstBorder = randomBorder(0, use_roi ? MAX_VALUE : 0);
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randomSubMat(dst, dst_roi, roiSize, dstBorder, type, 5, 16);
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UMAT_UPLOAD_INPUT_PARAMETER(src);
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UMAT_UPLOAD_OUTPUT_PARAMETER(dst);
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}
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};
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OCL_TEST_P(Canny, Accuracy)
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{
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generateTestData();
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const double low_thresh = 50.0, high_thresh = 100.0;
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double eps = 0.03;
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OCL_OFF(cv::Canny(src_roi, dst_roi, low_thresh, high_thresh, aperture_size, useL2gradient));
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OCL_ON(cv::Canny(usrc_roi, udst_roi, low_thresh, high_thresh, aperture_size, useL2gradient));
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EXPECT_MAT_SIMILAR(dst_roi, udst_roi, eps);
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EXPECT_MAT_SIMILAR(dst, udst, eps);
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}
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OCL_TEST_P(Canny, AccuracyCustomGradient)
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{
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generateTestData();
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const double low_thresh = 50.0, high_thresh = 100.0;
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double eps = 0.03;
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OCL_OFF(cv::Canny(src_roi, dst_roi, low_thresh, high_thresh, aperture_size, useL2gradient));
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OCL_ON(
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UMat dx, dy;
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Sobel(usrc_roi, dx, CV_16S, 1, 0, aperture_size, 1, 0, BORDER_REPLICATE);
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Sobel(usrc_roi, dy, CV_16S, 0, 1, aperture_size, 1, 0, BORDER_REPLICATE);
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cv::Canny(dx, dy, udst_roi, low_thresh, high_thresh, useL2gradient);
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);
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EXPECT_MAT_SIMILAR(dst_roi, udst_roi, eps);
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EXPECT_MAT_SIMILAR(dst, udst, eps);
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}
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OCL_INSTANTIATE_TEST_CASE_P(ImgProc, Canny, testing::Combine(
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testing::Values(1, 3),
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testing::Values(ApertureSize(3), ApertureSize(5)),
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testing::Values(L2gradient(false), L2gradient(true)),
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testing::Values(UseRoi(false), UseRoi(true))));
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} // namespace ocl
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} // namespace opencv_test
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#endif // HAVE_OPENCL
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