Open Source Computer Vision Library https://opencv.org/
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/*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.
// Copyright (C) 2013, OpenCV Foundation, 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.
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// This software is provided by the copyright holders and contributors "as is" and
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// 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,
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//M*/
#include "test_precomp.hpp"
using namespace cv;
using namespace cv::cuda;
using namespace cv::cudev;
using namespace cvtest;
typedef ::testing::Types<uchar, ushort, short, int, float> AllTypes;
typedef ::testing::Types<short, float> Fp16Types;
////////////////////////////////////////////////////////////////////////////////
// CvtTest
template <typename T>
class CvtTest : public ::testing::Test
{
public:
void test_gpumat()
{
const Size size = randomSize(100, 400);
const int type = DataType<T>::type;
Mat src = randomMat(size, type);
GpuMat_<T> d_src(src);
GpuMat_<T> dst = cvt_<T>(cvt_<float>(d_src) * 2.0f - 10.0f);
Mat dst_gold;
src.convertTo(dst_gold, src.depth(), 2, -10);
EXPECT_MAT_NEAR(dst_gold, dst, 0.0);
}
};
// dummy class
template <typename T>
class CvFp16Test : public ::testing::Test
{
public:
void test_gpumat()
{
}
};
template <>
class CvFp16Test <short> : public ::testing::Test
{
public:
void test_gpumat()
{
const Size size = randomSize(100, 400);
const int type = DataType<float>::type;
Mat src = randomMat(size, type), dst, ref;
GpuMat_<float> g_src(src);
GpuMat g_dst;
// Fp32 -> Fp16
cuda::convertFp16(g_src, g_dst);
cv::convertFp16(src, dst);
// Fp16 -> Fp32
cuda::convertFp16(g_dst.clone(), g_dst);
cv::convertFp16(dst, ref);
g_dst.download(dst);
EXPECT_MAT_NEAR(dst, ref, 0.0);
}
};
template <>
class CvFp16Test <float> : public ::testing::Test
{
public:
void test_gpumat()
{
const Size size = randomSize(100, 400);
const int type = DataType<float>::type;
Mat src = randomMat(size, type), dst, ref;
GpuMat_<float> g_src(src);
GpuMat g_dst;
// Fp32 -> Fp16
cuda::convertFp16(g_src, g_dst);
cv::convertFp16(src, ref);
g_dst.download(dst);
EXPECT_MAT_NEAR(dst, ref, 0.0);
}
};
TYPED_TEST_CASE(CvtTest, AllTypes);
TYPED_TEST(CvtTest, GpuMat)
{
CvtTest<TypeParam>::test_gpumat();
}
TYPED_TEST_CASE(CvFp16Test, Fp16Types);
TYPED_TEST(CvFp16Test, GpuMat)
{
CvFp16Test<TypeParam>::test_gpumat();
}