mirror of
https://github.com/opencv/opencv.git
synced 2024-12-05 09:49:12 +08:00
125 lines
4.6 KiB
C++
125 lines
4.6 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.
|
|
//
|
|
//
|
|
// License Agreement
|
|
// For Open Source Computer Vision Library
|
|
//
|
|
// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
|
|
// Copyright (C) 2009, Willow Garage Inc., 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 the copyright holders 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"
|
|
|
|
#ifdef HAVE_CUDA
|
|
|
|
using namespace cvtest;
|
|
|
|
////////////////////////////////////////////////////////////////////////////
|
|
// Blend
|
|
|
|
namespace
|
|
{
|
|
template <typename T>
|
|
void blendLinearGold(const cv::Mat& img1, const cv::Mat& img2, const cv::Mat& weights1, const cv::Mat& weights2, cv::Mat& result_gold)
|
|
{
|
|
result_gold.create(img1.size(), img1.type());
|
|
|
|
int cn = img1.channels();
|
|
|
|
for (int y = 0; y < img1.rows; ++y)
|
|
{
|
|
const float* weights1_row = weights1.ptr<float>(y);
|
|
const float* weights2_row = weights2.ptr<float>(y);
|
|
const T* img1_row = img1.ptr<T>(y);
|
|
const T* img2_row = img2.ptr<T>(y);
|
|
T* result_gold_row = result_gold.ptr<T>(y);
|
|
|
|
for (int x = 0; x < img1.cols * cn; ++x)
|
|
{
|
|
float w1 = weights1_row[x / cn];
|
|
float w2 = weights2_row[x / cn];
|
|
result_gold_row[x] = static_cast<T>((img1_row[x] * w1 + img2_row[x] * w2) / (w1 + w2 + 1e-5f));
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
PARAM_TEST_CASE(Blend, cv::gpu::DeviceInfo, cv::Size, MatType, UseRoi)
|
|
{
|
|
cv::gpu::DeviceInfo devInfo;
|
|
cv::Size size;
|
|
int type;
|
|
bool useRoi;
|
|
|
|
virtual void SetUp()
|
|
{
|
|
devInfo = GET_PARAM(0);
|
|
size = GET_PARAM(1);
|
|
type = GET_PARAM(2);
|
|
useRoi = GET_PARAM(3);
|
|
|
|
cv::gpu::setDevice(devInfo.deviceID());
|
|
}
|
|
};
|
|
|
|
GPU_TEST_P(Blend, Accuracy)
|
|
{
|
|
int depth = CV_MAT_DEPTH(type);
|
|
|
|
cv::Mat img1 = randomMat(size, type, 0.0, depth == CV_8U ? 255.0 : 1.0);
|
|
cv::Mat img2 = randomMat(size, type, 0.0, depth == CV_8U ? 255.0 : 1.0);
|
|
cv::Mat weights1 = randomMat(size, CV_32F, 0, 1);
|
|
cv::Mat weights2 = randomMat(size, CV_32F, 0, 1);
|
|
|
|
cv::gpu::GpuMat result;
|
|
cv::gpu::blendLinear(loadMat(img1, useRoi), loadMat(img2, useRoi), loadMat(weights1, useRoi), loadMat(weights2, useRoi), result);
|
|
|
|
cv::Mat result_gold;
|
|
if (depth == CV_8U)
|
|
blendLinearGold<uchar>(img1, img2, weights1, weights2, result_gold);
|
|
else
|
|
blendLinearGold<float>(img1, img2, weights1, weights2, result_gold);
|
|
|
|
EXPECT_MAT_NEAR(result_gold, result, CV_MAT_DEPTH(type) == CV_8U ? 1.0 : 1e-5);
|
|
}
|
|
|
|
INSTANTIATE_TEST_CASE_P(GPU_ImgProc, Blend, testing::Combine(
|
|
ALL_DEVICES,
|
|
DIFFERENT_SIZES,
|
|
testing::Values(MatType(CV_8UC1), MatType(CV_8UC3), MatType(CV_8UC4), MatType(CV_32FC1), MatType(CV_32FC3), MatType(CV_32FC4)),
|
|
WHOLE_SUBMAT));
|
|
|
|
#endif // HAVE_CUDA
|