Open Source Computer Vision Library https://opencv.org/
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/*M///////////////////////////////////////////////////////////////////////////////////////
//
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
//
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// If you do not agree to this license, do not download, install,
// copy or use the software.
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//
// 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.
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// are permitted provided that the following conditions are met:
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#include "test_precomp.hpp"
#ifdef HAVE_CUDA
#include "opencv2/cudaarithm.hpp"
#include "opencv2/cudawarping.hpp"
#include "opencv2/core/private.cuda.hpp"
using namespace testing;
using namespace cv;
using namespace cv::cuda;
struct BufferPoolTest : TestWithParam<DeviceInfo>
{
};
namespace
{
void func1(const GpuMat& src, GpuMat& dst, Stream& stream)
{
BufferPool pool(stream);
GpuMat buf = pool.getBuffer(src.size(), CV_32FC(src.channels()));
src.convertTo(buf, CV_32F, 1.0 / 255.0, stream);
cuda::exp(buf, dst, stream);
}
void func2(const GpuMat& src, GpuMat& dst, Stream& stream)
{
BufferPool pool(stream);
GpuMat buf1 = pool.getBuffer(saturate_cast<int>(src.rows * 0.5), saturate_cast<int>(src.cols * 0.5), src.type());
cuda::resize(src, buf1, Size(), 0.5, 0.5, cv::INTER_NEAREST, stream);
GpuMat buf2 = pool.getBuffer(buf1.size(), CV_32FC(buf1.channels()));
func1(buf1, buf2, stream);
GpuMat buf3 = pool.getBuffer(src.size(), buf2.type());
cuda::resize(buf2, buf3, src.size(), 0, 0, cv::INTER_NEAREST, stream);
buf3.convertTo(dst, CV_8U, stream);
}
}
CUDA_TEST_P(BufferPoolTest, SimpleUsage)
{
DeviceInfo devInfo = GetParam();
setDevice(devInfo.deviceID());
GpuMat src(200, 200, CV_8UC1);
GpuMat dst;
Stream stream;
func2(src, dst, stream);
stream.waitForCompletion();
GpuMat buf, buf1, buf2, buf3;
GpuMat dst_gold;
cuda::resize(src, buf1, Size(), 0.5, 0.5, cv::INTER_NEAREST);
buf1.convertTo(buf, CV_32F, 1.0 / 255.0);
cuda::exp(buf, buf2);
cuda::resize(buf2, buf3, src.size(), 0, 0, cv::INTER_NEAREST);
buf3.convertTo(dst_gold, CV_8U);
ASSERT_MAT_NEAR(dst_gold, dst, 0);
}
INSTANTIATE_TEST_CASE_P(CUDA_Stream, BufferPoolTest, ALL_DEVICES);
#endif // HAVE_CUDA