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Open Source Computer Vision Library
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171 lines
6.2 KiB
171 lines
6.2 KiB
/////////////////////////////////////////////////////////////////////////////////////// |
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// |
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// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING. |
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// |
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// By downloading, copying, installing or using the software you agree to this license. |
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// If you do not agree to this license, do not download, install, |
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// copy or use the software. |
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// |
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// |
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// License Agreement |
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// For Open Source Computer Vision Library |
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// |
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// Copyright (C) 2010-2012, Institute Of Software Chinese Academy Of Science, all rights reserved. |
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// Copyright (C) 2010-2012, Advanced Micro Devices, Inc., all rights reserved. |
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// Third party copyrights are property of their respective owners. |
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// |
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// @Authors |
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// Yao Wang yao@multicorewareinc.com |
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// |
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// Redistribution and use in source and binary forms, with or without modification, |
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// are permitted provided that the following conditions are met: |
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// |
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// * Redistribution's of source code must retain the above copyright notice, |
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// this list of conditions and the following disclaimer. |
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// |
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// * Redistribution's in binary form must reproduce the above copyright notice, |
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// this list of conditions and the following disclaimer in the documentation |
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// and/or other materials provided with the distribution. |
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// |
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// * The name of the copyright holders may not be used to endorse or promote products |
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// derived from this software without specific prior written permission. |
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// |
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// This software is provided by the copyright holders and contributors "as is" and |
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// any express or implied warranties, including, but not limited to, the implied |
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// warranties of merchantability and fitness for a particular purpose are disclaimed. |
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// In no event shall the Intel Corporation or contributors be liable for any direct, |
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// indirect, incidental, special, exemplary, or consequential damages |
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// (including, but not limited to, procurement of substitute goods or services; |
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// loss of use, data, or profits; or business interruption) however caused |
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// and on any theory of liability, whether in contract, strict liability, |
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// or tort (including negligence or otherwise) arising in any way out of |
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// the use of this software, even if advised of the possibility of such damage. |
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// |
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//M*/ |
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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 |
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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); |
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TEST_DECLARE_OUTPUT_PARAMETER(dst); |
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virtual void SetUp() |
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{ |
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depth = GET_PARAM(0); |
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channels = GET_PARAM(1); |
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borderType = GET_PARAM(2); |
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use_roi = GET_PARAM(3); |
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} |
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void generateTestData(Size src_roiSize, Size dst_roiSize) |
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{ |
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Border srcBorder = randomBorder(0, use_roi ? MAX_VALUE : 0); |
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randomSubMat(src, src_roi, src_roiSize, srcBorder, CV_MAKETYPE(depth, channels), -MAX_VALUE, MAX_VALUE); |
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Border dstBorder = randomBorder(0, use_roi ? MAX_VALUE : 0); |
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randomSubMat(dst, dst_roi, dst_roiSize, dstBorder, CV_MAKETYPE(depth, channels), -MAX_VALUE, MAX_VALUE); |
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UMAT_UPLOAD_INPUT_PARAMETER(src); |
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UMAT_UPLOAD_OUTPUT_PARAMETER(dst); |
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} |
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void Near(double threshold = 0.0) |
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{ |
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OCL_EXPECT_MATS_NEAR(dst, threshold); |
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} |
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}; |
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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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{ |
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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); |
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Size dst_roiSize = Size(randomInt((src_roiSize.width - 1) / 2, (src_roiSize.width + 3) / 2), |
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randomInt((src_roiSize.height - 1) / 2, (src_roiSize.height + 3) / 2)); |
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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)); |
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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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} |
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OCL_INSTANTIATE_TEST_CASE_P(ImgprocPyr, PyrDown, Combine( |
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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, |
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(BorderType)BORDER_REFLECT, (BorderType)BORDER_REFLECT_101), |
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Bool() |
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)); |
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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); |
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Size dst_roiSize = Size(2 * src_roiSize.width, 2 * src_roiSize.height); |
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generateTestData(src_roiSize, dst_roiSize); |
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OCL_OFF(pyrUp(src_roi, dst_roi, dst_roiSize, borderType)); |
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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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} |
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} |
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typedef PyrTestBase PyrUp_cols2; |
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OCL_TEST_P(PyrUp_cols2, 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); |
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src_roiSize.width += (src_roiSize.width % 2); |
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Size dst_roiSize = Size(2 * src_roiSize.width, 2 * src_roiSize.height); |
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generateTestData(src_roiSize, dst_roiSize); |
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OCL_OFF(pyrUp(src_roi, dst_roi, dst_roiSize, borderType)); |
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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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} |
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} |
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OCL_INSTANTIATE_TEST_CASE_P(ImgprocPyr, PyrUp, Combine( |
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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() |
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)); |
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OCL_INSTANTIATE_TEST_CASE_P(ImgprocPyr, PyrUp_cols2, Combine( |
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Values((MatDepth)CV_8U), |
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Values((Channels)1), |
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Values((BorderType)BORDER_REFLECT_101), |
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Bool() |
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)); |
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} } // namespace opencv_test::ocl |
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#endif // HAVE_OPENCL
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