opencv/modules/ocl/test/test_pyramids.cpp

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///////////////////////////////////////////////////////////////////////////////////////
//
// 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) 2010-2012, Institute Of Software Chinese Academy Of Science, all rights reserved.
// Copyright (C) 2010-2012, Advanced Micro Devices, Inc., all rights reserved.
// Third party copyrights are property of their respective owners.
//
// @Authors
// Yao Wang yao@multicorewareinc.com
//
// 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 oclMaterials 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
// 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,
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// (including, but not limited to, procurement of substitute goods or services;
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//M*/
#include "test_precomp.hpp"
#include <iomanip>
#ifdef HAVE_OPENCL
using namespace cv;
using namespace cv::ocl;
using namespace cvtest;
using namespace testing;
using namespace std;
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PARAM_TEST_CASE(PyrBase, MatType, int)
{
int type;
int channels;
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Mat dst_cpu;
oclMat gdst;
virtual void SetUp()
{
type = GET_PARAM(0);
channels = GET_PARAM(1);
}
};
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/////////////////////// PyrDown //////////////////////////
struct PyrDown : PyrBase {};
TEST_P(PyrDown, Mat)
{
for(int j = 0; j < LOOP_TIMES; j++)
{
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Size size(MWIDTH, MHEIGHT);
Mat src = randomMat(size, CV_MAKETYPE(type, channels));
oclMat gsrc(src);
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pyrDown(src, dst_cpu);
pyrDown(gsrc, gdst);
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EXPECT_MAT_NEAR(dst_cpu, Mat(gdst), type == CV_32F ? 1e-4f : 1.0f);
}
}
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INSTANTIATE_TEST_CASE_P(OCL_ImgProc, PyrDown, Combine(
Values(CV_8U, CV_32F), Values(1, 3, 4)));
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/////////////////////// PyrUp //////////////////////////
struct PyrUp : PyrBase {};
TEST_P(PyrUp, Accuracy)
{
for(int j = 0; j < LOOP_TIMES; j++)
{
Size size(MWIDTH, MHEIGHT);
Mat src = randomMat(size, CV_MAKETYPE(type, channels));
oclMat gsrc(src);
pyrUp(src, dst_cpu);
pyrUp(gsrc, gdst);
EXPECT_MAT_NEAR(dst_cpu, Mat(gdst), (type == CV_32F ? 1e-4f : 1.0));
}
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}
INSTANTIATE_TEST_CASE_P(OCL_ImgProc, PyrUp, testing::Combine(
Values(CV_8U, CV_32F), Values(1, 3, 4)));
#endif // HAVE_OPENCL