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
127
3rdparty/opencv-4.5.4/modules/imgproc/test/ocl/test_blend.cpp
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3rdparty/opencv-4.5.4/modules/imgproc/test/ocl/test_blend.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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// 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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// Nathan, liujun@multicorewareinc.com
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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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PARAM_TEST_CASE(BlendLinear, MatDepth, Channels, bool)
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{
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int depth, channels;
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bool useRoi;
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TEST_DECLARE_INPUT_PARAMETER(src1);
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TEST_DECLARE_INPUT_PARAMETER(src2);
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TEST_DECLARE_INPUT_PARAMETER(weights2);
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TEST_DECLARE_INPUT_PARAMETER(weights1);
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TEST_DECLARE_OUTPUT_PARAMETER(dst);
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virtual void SetUp()
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{
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depth = GET_PARAM(0);
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channels = GET_PARAM(1);
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useRoi = GET_PARAM(2);
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}
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void random_roi()
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{
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const int type = CV_MAKE_TYPE(depth, channels);
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const double upValue = 256;
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Size roiSize = randomSize(1, MAX_VALUE);
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Border src1Border = randomBorder(0, useRoi ? MAX_VALUE : 0);
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randomSubMat(src1, src1_roi, roiSize, src1Border, type, -upValue, upValue);
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Border src2Border = randomBorder(0, useRoi ? MAX_VALUE : 0);
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randomSubMat(src2, src2_roi, roiSize, src2Border, type, -upValue, upValue);
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Border weights1Border = randomBorder(0, useRoi ? MAX_VALUE : 0);
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randomSubMat(weights1, weights1_roi, roiSize, weights1Border, CV_32FC1, -upValue, upValue);
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Border weights2Border = randomBorder(0, useRoi ? MAX_VALUE : 0);
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randomSubMat(weights2, weights2_roi, roiSize, weights2Border, CV_32FC1, 1e-2, upValue);
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weights2_roi -= weights1_roi;
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CV_Assert(checkNorm2(weights2_roi, weights2(Rect(weights2Border.lef, weights2Border.top,
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roiSize.width, roiSize.height))) < 1e-6);
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Border dstBorder = randomBorder(0, useRoi ? MAX_VALUE : 0);
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randomSubMat(dst, dst_roi, roiSize, dstBorder, type, 5, 16);
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UMAT_UPLOAD_INPUT_PARAMETER(src1);
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UMAT_UPLOAD_INPUT_PARAMETER(src2);
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UMAT_UPLOAD_INPUT_PARAMETER(weights1);
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UMAT_UPLOAD_INPUT_PARAMETER(weights2);
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UMAT_UPLOAD_OUTPUT_PARAMETER(dst);
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}
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void Near(double eps = 0.0)
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{
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OCL_EXPECT_MATS_NEAR(dst, eps);
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}
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};
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OCL_TEST_P(BlendLinear, Accuracy)
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{
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for (int i = 0; i < test_loop_times; ++i)
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{
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random_roi();
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OCL_OFF(cv::blendLinear(src1_roi, src2_roi, weights1_roi, weights2_roi, dst_roi));
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OCL_ON(cv::blendLinear(usrc1_roi, usrc2_roi, uweights1_roi, uweights2_roi, udst_roi));
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Near(depth <= CV_32S ? 1.0 : 0.5);
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}
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}
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OCL_INSTANTIATE_TEST_CASE_P(ImgProc, BlendLinear, Combine(testing::Values(CV_8U, CV_32F), OCL_ALL_CHANNELS, Bool()));
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} } // namespace opencv_test::ocl
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#endif
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