125 lines
4.6 KiB
C++
125 lines
4.6 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) 2000-2008, Intel Corporation, all rights reserved.
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// Copyright (C) 2009, Willow Garage 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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// 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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#ifdef HAVE_CUDA
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using namespace cvtest;
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////////////////////////////////////////////////////////////////////////////
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// Blend
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namespace
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{
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template <typename T>
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void blendLinearGold(const cv::Mat& img1, const cv::Mat& img2, const cv::Mat& weights1, const cv::Mat& weights2, cv::Mat& result_gold)
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{
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result_gold.create(img1.size(), img1.type());
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int cn = img1.channels();
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for (int y = 0; y < img1.rows; ++y)
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{
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const float* weights1_row = weights1.ptr<float>(y);
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const float* weights2_row = weights2.ptr<float>(y);
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const T* img1_row = img1.ptr<T>(y);
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const T* img2_row = img2.ptr<T>(y);
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T* result_gold_row = result_gold.ptr<T>(y);
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for (int x = 0; x < img1.cols * cn; ++x)
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{
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float w1 = weights1_row[x / cn];
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float w2 = weights2_row[x / cn];
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result_gold_row[x] = static_cast<T>((img1_row[x] * w1 + img2_row[x] * w2) / (w1 + w2 + 1e-5f));
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}
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}
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}
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}
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PARAM_TEST_CASE(Blend, cv::cuda::DeviceInfo, cv::Size, MatType, UseRoi)
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{
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cv::cuda::DeviceInfo devInfo;
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cv::Size size;
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int type;
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bool useRoi;
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virtual void SetUp()
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{
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devInfo = GET_PARAM(0);
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size = GET_PARAM(1);
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type = GET_PARAM(2);
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useRoi = GET_PARAM(3);
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cv::cuda::setDevice(devInfo.deviceID());
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}
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};
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CUDA_TEST_P(Blend, Accuracy)
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{
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int depth = CV_MAT_DEPTH(type);
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cv::Mat img1 = randomMat(size, type, 0.0, depth == CV_8U ? 255.0 : 1.0);
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cv::Mat img2 = randomMat(size, type, 0.0, depth == CV_8U ? 255.0 : 1.0);
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cv::Mat weights1 = randomMat(size, CV_32F, 0, 1);
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cv::Mat weights2 = randomMat(size, CV_32F, 0, 1);
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cv::cuda::GpuMat result;
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cv::cuda::blendLinear(loadMat(img1, useRoi), loadMat(img2, useRoi), loadMat(weights1, useRoi), loadMat(weights2, useRoi), result);
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cv::Mat result_gold;
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if (depth == CV_8U)
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blendLinearGold<uchar>(img1, img2, weights1, weights2, result_gold);
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else
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blendLinearGold<float>(img1, img2, weights1, weights2, result_gold);
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EXPECT_MAT_NEAR(result_gold, result, CV_MAT_DEPTH(type) == CV_8U ? 1.0 : 1e-5);
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}
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INSTANTIATE_TEST_CASE_P(CUDA_ImgProc, Blend, testing::Combine(
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ALL_DEVICES,
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DIFFERENT_SIZES,
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testing::Values(MatType(CV_8UC1), MatType(CV_8UC3), MatType(CV_8UC4), MatType(CV_32FC1), MatType(CV_32FC3), MatType(CV_32FC4)),
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WHOLE_SUBMAT));
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#endif // HAVE_CUDA
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