opencv/modules/imgproc/test/ocl/test_pyramids.cpp

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///////////////////////////////////////////////////////////////////////////////////////
//
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//
// 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
//
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#include "../test_precomp.hpp"
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#include "opencv2/ts/ocl_test.hpp"
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#ifdef HAVE_OPENCL
namespace opencv_test {
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namespace ocl {
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PARAM_TEST_CASE(PyrTestBase, MatDepth, Channels, BorderType, bool)
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{
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int depth, channels, borderType;
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bool use_roi;
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TEST_DECLARE_INPUT_PARAMETER(src);
TEST_DECLARE_OUTPUT_PARAMETER(dst);
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virtual void SetUp()
{
depth = GET_PARAM(0);
channels = GET_PARAM(1);
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borderType = GET_PARAM(2);
use_roi = GET_PARAM(3);
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}
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);
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}
void Near(double threshold = 0.0)
{
OCL_EXPECT_MATS_NEAR(dst, threshold);
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}
};
/////////////////////// PyrDown //////////////////////////
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typedef PyrTestBase PyrDown;
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OCL_TEST_P(PyrDown, Mat)
{
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for (int j = 0; j < test_loop_times; j++)
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{
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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.empty() ? Size((src_roiSize.width + 1) / 2, (src_roiSize.height + 1) / 2) : dst_roiSize;
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generateTestData(src_roiSize, dst_roiSize);
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OCL_OFF(pyrDown(src_roi, dst_roi, dst_roiSize, borderType));
OCL_ON(pyrDown(usrc_roi, udst_roi, dst_roiSize, borderType));
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Near(depth == CV_32F ? 1e-4f : 1.0f);
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}
}
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OCL_INSTANTIATE_TEST_CASE_P(ImgprocPyr, PyrDown, Combine(
Values(CV_8U, CV_16U, CV_16S, CV_32F, CV_64F),
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Values(1, 2, 3, 4),
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Values((BorderType)BORDER_REPLICATE,
(BorderType)BORDER_REFLECT, (BorderType)BORDER_REFLECT_101),
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Bool()
));
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/////////////////////// PyrUp //////////////////////////
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typedef PyrTestBase PyrUp;
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OCL_TEST_P(PyrUp, Mat)
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{
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for (int j = 0; j < test_loop_times; j++)
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{
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Size src_roiSize = randomSize(1, MAX_VALUE);
Size dst_roiSize = Size(2 * src_roiSize.width, 2 * src_roiSize.height);
generateTestData(src_roiSize, dst_roiSize);
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OCL_OFF(pyrUp(src_roi, dst_roi, dst_roiSize, borderType));
OCL_ON(pyrUp(usrc_roi, udst_roi, dst_roiSize, borderType));
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Near(depth == CV_32F ? 1e-4f : 1.0f);
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}
}
typedef PyrTestBase PyrUp_cols2;
OCL_TEST_P(PyrUp_cols2, Mat)
{
for (int j = 0; j < test_loop_times; j++)
{
Size src_roiSize = randomSize(1, MAX_VALUE);
src_roiSize.width += (src_roiSize.width % 2);
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);
}
}
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OCL_INSTANTIATE_TEST_CASE_P(ImgprocPyr, PyrUp, Combine(
Values(CV_8U, CV_16U, CV_16S, CV_32F, CV_64F),
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Values(1, 2, 3, 4),
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Values((BorderType)BORDER_REFLECT_101),
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Bool()
));
OCL_INSTANTIATE_TEST_CASE_P(ImgprocPyr, PyrUp_cols2, Combine(
Values((MatDepth)CV_8U),
Values((Channels)1),
Values((BorderType)BORDER_REFLECT_101),
Bool()
));
} } // namespace opencv_test::ocl
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#endif // HAVE_OPENCL