96 lines
4.4 KiB
C++
96 lines
4.4 KiB
C++
|
/*M///////////////////////////////////////////////////////////////////////////////////////
|
||
|
//
|
||
|
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
|
||
|
//
|
||
|
// By downloading, copying, installing or using the software you agree to this license.
|
||
|
// If you do not agree to this license, do not download, install,
|
||
|
// copy or use the software.
|
||
|
//
|
||
|
//
|
||
|
// Intel License Agreement
|
||
|
// For Open Source Computer Vision Library
|
||
|
//
|
||
|
// Copyright (C) 2000, Intel Corporation, all rights reserved.
|
||
|
// Third party copyrights are property of their respective owners.
|
||
|
//
|
||
|
// Redistribution and use in source and binary forms, with or without modification,
|
||
|
// are permitted provided that the following conditions are met:
|
||
|
//
|
||
|
// * Redistribution's of source code must retain the above copyright notice,
|
||
|
// this list of conditions and the following disclaimer.
|
||
|
//
|
||
|
// * Redistribution's in binary form must reproduce the above copyright notice,
|
||
|
// this list of conditions and the following disclaimer in the documentation
|
||
|
// and/or other materials provided with the distribution.
|
||
|
//
|
||
|
// * The name of Intel Corporation may not be used to endorse or promote products
|
||
|
// derived from this software without specific prior written permission.
|
||
|
//
|
||
|
// This software is provided by the copyright holders and contributors "as is" and
|
||
|
// any express or implied warranties, including, but not limited to, the implied
|
||
|
// warranties of merchantability and fitness for a particular purpose are disclaimed.
|
||
|
// In no event shall the Intel Corporation or contributors be liable for any direct,
|
||
|
// indirect, incidental, special, exemplary, or consequential damages
|
||
|
// (including, but not limited to, procurement of substitute goods or services;
|
||
|
// loss of use, data, or profits; or business interruption) however caused
|
||
|
// and on any theory of liability, whether in contract, strict liability,
|
||
|
// or tort (including negligence or otherwise) arising in any way out of
|
||
|
// the use of this software, even if advised of the possibility of such damage.
|
||
|
//
|
||
|
//M*/
|
||
|
|
||
|
#include "test_precomp.hpp"
|
||
|
|
||
|
using namespace std;
|
||
|
using namespace cv;
|
||
|
using namespace cv::gpu;
|
||
|
|
||
|
TEST(blendLinear, accuracy_on_8U)
|
||
|
{
|
||
|
Size size(607, 1021);
|
||
|
RNG rng(0);
|
||
|
for (int cn = 1; cn <= 4; ++cn)
|
||
|
{
|
||
|
Mat img1 = cvtest::randomMat(rng, size, CV_MAKE_TYPE(CV_8U, cn), 0, 255, false);
|
||
|
Mat img2 = cvtest::randomMat(rng, size, CV_MAKE_TYPE(CV_8U, cn), 0, 255, false);
|
||
|
Mat weights1 = cvtest::randomMat(rng, size, CV_32F, 0, 1, false);
|
||
|
Mat weights2 = cvtest::randomMat(rng, size, CV_32F, 0, 1, false);
|
||
|
Mat result_gold(size, CV_MAKE_TYPE(CV_8U, cn));
|
||
|
for (int y = 0; y < size.height; ++y)
|
||
|
for (int x = 0; x < size.width * cn; ++x)
|
||
|
{
|
||
|
float w1 = weights1.at<float>(y, x / cn);
|
||
|
float w2 = weights2.at<float>(y, x / cn);
|
||
|
result_gold.at<uchar>(y, x) = static_cast<uchar>(
|
||
|
(img1.at<uchar>(y, x) * w1 + img2.at<uchar>(y, x) * w2) / (w1 + w2 + 1e-5f));
|
||
|
}
|
||
|
GpuMat d_result;
|
||
|
blendLinear(GpuMat(img1), GpuMat(img2), GpuMat(weights1), GpuMat(weights2), d_result);
|
||
|
ASSERT_LE(cvtest::norm(result_gold, Mat(d_result), NORM_INF), 1) << ", cn=" << cn;
|
||
|
}
|
||
|
}
|
||
|
|
||
|
TEST(blendLinear, accuracy_on_32F)
|
||
|
{
|
||
|
Size size(607, 1021);
|
||
|
RNG rng(0);
|
||
|
for (int cn = 1; cn <= 4; ++cn)
|
||
|
{
|
||
|
Mat img1 = cvtest::randomMat(rng, size, CV_MAKE_TYPE(CV_32F, cn), 0, 1, false);
|
||
|
Mat img2 = cvtest::randomMat(rng, size, CV_MAKE_TYPE(CV_32F, cn), 0, 1, false);
|
||
|
Mat weights1 = cvtest::randomMat(rng, size, CV_32F, 0, 1, false);
|
||
|
Mat weights2 = cvtest::randomMat(rng, size, CV_32F, 0, 1, false);
|
||
|
Mat result_gold(size, CV_MAKE_TYPE(CV_32F, cn));
|
||
|
for (int y = 0; y < size.height; ++y)
|
||
|
for (int x = 0; x < size.width * cn; ++x)
|
||
|
{
|
||
|
float w1 = weights1.at<float>(y, x / cn);
|
||
|
float w2 = weights2.at<float>(y, x / cn);
|
||
|
result_gold.at<float>(y, x) =
|
||
|
(img1.at<float>(y, x) * w1 + img2.at<float>(y, x) * w2) / (w1 + w2 + 1e-5f);
|
||
|
}
|
||
|
GpuMat d_result;
|
||
|
blendLinear(GpuMat(img1), GpuMat(img2), GpuMat(weights1), GpuMat(weights2), d_result);
|
||
|
ASSERT_LE(cvtest::norm(result_gold, Mat(d_result), NORM_INF), 1e-3) << ", cn=" << cn;
|
||
|
}
|
||
|
}
|