207 lines
6.7 KiB
C++
207 lines
6.7 KiB
C++
/*M///////////////////////////////////////////////////////////////////////////////////////
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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, Multicoreware, Inc., 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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// Fangfang Bai, fangfang@multicorewareinc.com
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// Jin Ma, jin@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 "../perf_precomp.hpp"
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#include "opencv2/ts/ocl_perf.hpp"
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#ifdef HAVE_OPENCL
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namespace cvtest {
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namespace ocl {
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///////////// Merge////////////////////////
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typedef tuple<Size, MatDepth, int> MergeParams;
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typedef TestBaseWithParam<MergeParams> MergeFixture;
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OCL_PERF_TEST_P(MergeFixture, Merge,
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::testing::Combine(OCL_TEST_SIZES, OCL_PERF_ENUM(CV_8U, CV_32F), Values(2, 3)))
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{
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const MergeParams params = GetParam();
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const Size srcSize = get<0>(params);
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const int depth = get<1>(params), cn = get<2>(params), dtype = CV_MAKE_TYPE(depth, cn);
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checkDeviceMaxMemoryAllocSize(srcSize, dtype);
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UMat dst(srcSize, dtype);
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vector<UMat> src(cn);
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for (vector<UMat>::iterator i = src.begin(), end = src.end(); i != end; ++i)
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{
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i->create(srcSize, CV_MAKE_TYPE(depth, 1));
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declare.in(*i, WARMUP_RNG);
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}
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declare.out(dst);
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OCL_TEST_CYCLE() cv::merge(src, dst);
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SANITY_CHECK(dst);
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}
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///////////// Split ////////////////////////
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typedef MergeParams SplitParams;
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typedef TestBaseWithParam<SplitParams> SplitFixture;
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OCL_PERF_TEST_P(SplitFixture, Split,
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::testing::Combine(OCL_TEST_SIZES, OCL_PERF_ENUM(CV_8U, CV_32F), Values(2, 3)))
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{
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const SplitParams params = GetParam();
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const Size srcSize = get<0>(params);
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const int depth = get<1>(params), cn = get<2>(params), type = CV_MAKE_TYPE(depth, cn);
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ASSERT_TRUE(cn == 3 || cn == 2);
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checkDeviceMaxMemoryAllocSize(srcSize, type);
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UMat src(srcSize, type);
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std::vector<UMat> dst(cn, UMat(srcSize, CV_MAKE_TYPE(depth, 1)));
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declare.in(src, WARMUP_RNG);
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for (int i = 0; i < cn; ++i)
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declare.in(dst[i]);
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OCL_TEST_CYCLE() cv::split(src, dst);
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ASSERT_EQ(cn, (int)dst.size());
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if (cn == 2)
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{
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UMat & dst0 = dst[0], & dst1 = dst[1];
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SANITY_CHECK(dst0);
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SANITY_CHECK(dst1);
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}
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else
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{
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UMat & dst0 = dst[0], & dst1 = dst[1], & dst2 = dst[2];
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SANITY_CHECK(dst0);
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SANITY_CHECK(dst1);
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SANITY_CHECK(dst2);
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}
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}
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///////////// MixChannels ////////////////////////
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typedef tuple<Size, MatDepth> MixChannelsParams;
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typedef TestBaseWithParam<MixChannelsParams> MixChannelsFixture;
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OCL_PERF_TEST_P(MixChannelsFixture, MixChannels,
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::testing::Combine(Values(OCL_SIZE_1, OCL_SIZE_2, OCL_SIZE_3),
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OCL_PERF_ENUM(CV_8U, CV_32F)))
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{
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const MixChannelsParams params = GetParam();
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const Size srcSize = get<0>(params);
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const int depth = get<1>(params), type = CV_MAKE_TYPE(depth, 2), n = 2;
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checkDeviceMaxMemoryAllocSize(srcSize, type);
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std::vector<UMat> src(n), dst(n);
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for (int i = 0; i < n; ++i)
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{
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src[i] = UMat(srcSize, type);
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dst[i] = UMat(srcSize, type);
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declare.in(src[i], WARMUP_RNG).out(dst[i]);
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}
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int fromTo[] = { 1,2, 2,0, 0,3, 3,1 };
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OCL_TEST_CYCLE() cv::mixChannels(src, dst, fromTo, 4);
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UMat & dst0 = dst[0], & dst1 = dst[1];
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SANITY_CHECK(dst0);
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SANITY_CHECK(dst1);
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}
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///////////// InsertChannel ////////////////////////
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typedef std::tr1::tuple<cv::Size, MatDepth> Size_MatDepth_t;
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typedef TestBaseWithParam<Size_MatDepth_t> Size_MatDepth;
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typedef Size_MatDepth InsertChannelFixture;
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OCL_PERF_TEST_P(InsertChannelFixture, InsertChannel,
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::testing::Combine(Values(OCL_SIZE_1, OCL_SIZE_2, OCL_SIZE_3),
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OCL_PERF_ENUM(CV_8U, CV_32F)))
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{
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const Size_MatDepth_t params = GetParam();
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const Size srcSize = get<0>(params);
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const int depth = get<1>(params), type = CV_MAKE_TYPE(depth, 3);
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checkDeviceMaxMemoryAllocSize(srcSize, type);
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UMat src(srcSize, depth), dst(srcSize, type, Scalar::all(17));
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declare.in(src, WARMUP_RNG).out(dst);
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OCL_TEST_CYCLE() cv::insertChannel(src, dst, 1);
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SANITY_CHECK(dst);
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}
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///////////// ExtractChannel ////////////////////////
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typedef Size_MatDepth ExtractChannelFixture;
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OCL_PERF_TEST_P(ExtractChannelFixture, ExtractChannel,
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::testing::Combine(Values(OCL_SIZE_1, OCL_SIZE_2, OCL_SIZE_3),
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OCL_PERF_ENUM(CV_8U, CV_32F)))
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{
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const Size_MatDepth_t params = GetParam();
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const Size srcSize = get<0>(params);
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const int depth = get<1>(params), type = CV_MAKE_TYPE(depth, 3);
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checkDeviceMaxMemoryAllocSize(srcSize, type);
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UMat src(srcSize, type), dst(srcSize, depth);
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declare.in(src, WARMUP_RNG).out(dst);
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OCL_TEST_CYCLE() cv::extractChannel(src, dst, 1);
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SANITY_CHECK(dst);
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}
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} } // namespace cvtest::ocl
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#endif // HAVE_OPENCL
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