Open Source Computer Vision Library https://opencv.org/
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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
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// * The name of the copyright holders may not be used to endorse or promote products
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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,
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//M*/
#include "../test_precomp.hpp"
#include "opencv2/ts/ocl_test.hpp"
#ifdef HAVE_OPENCL
namespace cvtest {
namespace ocl {
PARAM_TEST_CASE(PyrTestBase, MatDepth, Channels, BorderType, bool)
{
int depth, channels, borderType;
bool use_roi;
TEST_DECLARE_INPUT_PARAMETER(src);
TEST_DECLARE_OUTPUT_PARAMETER(dst);
virtual void SetUp()
{
depth = GET_PARAM(0);
channels = GET_PARAM(1);
borderType = GET_PARAM(2);
use_roi = GET_PARAM(3);
}
void generateTestData(Size src_roiSize, Size dst_roiSize)
{
Border srcBorder = randomBorder(0, use_roi ? MAX_VALUE : 0);
randomSubMat(src, src_roi, src_roiSize, srcBorder, CV_MAKETYPE(depth, channels), -MAX_VALUE, MAX_VALUE);
Border dstBorder = randomBorder(0, use_roi ? MAX_VALUE : 0);
randomSubMat(dst, dst_roi, dst_roiSize, dstBorder, CV_MAKETYPE(depth, channels), -MAX_VALUE, MAX_VALUE);
UMAT_UPLOAD_INPUT_PARAMETER(src);
UMAT_UPLOAD_OUTPUT_PARAMETER(dst);
}
void Near(double threshold = 0.0)
{
OCL_EXPECT_MATS_NEAR(dst, threshold);
}
};
/////////////////////// PyrDown //////////////////////////
typedef PyrTestBase PyrDown;
OCL_TEST_P(PyrDown, Mat)
{
for (int j = 0; j < test_loop_times; j++)
{
Size src_roiSize = randomSize(1, MAX_VALUE);
Size dst_roiSize = Size(randomInt((src_roiSize.width - 1) / 2, (src_roiSize.width + 3) / 2),
randomInt((src_roiSize.height - 1) / 2, (src_roiSize.height + 3) / 2));
dst_roiSize = dst_roiSize.area() == 0 ? Size((src_roiSize.width + 1) / 2, (src_roiSize.height + 1) / 2) : dst_roiSize;
generateTestData(src_roiSize, dst_roiSize);
OCL_OFF(pyrDown(src_roi, dst_roi, dst_roiSize, borderType));
OCL_ON(pyrDown(usrc_roi, udst_roi, dst_roiSize, borderType));
Near(depth == CV_32F ? 1e-4f : 1.0f);
}
}
OCL_INSTANTIATE_TEST_CASE_P(ImgprocPyr, PyrDown, Combine(
Values(CV_8U, CV_16U, CV_16S, CV_32F, CV_64F),
Values(1, 2, 3, 4),
Values((BorderType)BORDER_REPLICATE,
(BorderType)BORDER_REFLECT, (BorderType)BORDER_REFLECT_101),
Bool()
));
/////////////////////// PyrUp //////////////////////////
typedef PyrTestBase PyrUp;
OCL_TEST_P(PyrUp, Mat)
{
for (int j = 0; j < test_loop_times; j++)
{
Size src_roiSize = randomSize(1, MAX_VALUE);
Size dst_roiSize = Size(2 * src_roiSize.width, 2 * src_roiSize.height);
generateTestData(src_roiSize, dst_roiSize);
OCL_OFF(pyrUp(src_roi, dst_roi, dst_roiSize, borderType));
OCL_ON(pyrUp(usrc_roi, udst_roi, dst_roiSize, borderType));
Near(depth == CV_32F ? 1e-4f : 1.0f);
}
}
OCL_INSTANTIATE_TEST_CASE_P(ImgprocPyr, PyrUp, Combine(
Values(CV_8U, CV_16U, CV_16S, CV_32F, CV_64F),
Values(1, 2, 3, 4),
Values((BorderType)BORDER_REFLECT_101),
Bool()
));
} } // namespace cvtest::ocl
#endif // HAVE_OPENCL