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- /*M///////////////////////////////////////////////////////////////////////////////////////
- //
- // 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.
- // Copyright (C) 2010-2012, Multicoreware, Inc., all rights reserved.
- // Third party copyrights are property of their respective owners.
- //
- // @Authors
- // Jia Haipeng, jiahaipeng95@gmail.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 materials 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.
- //
- // 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,
- // indirect, incidental, special, exemplary, or consequential damages
- // (including, but not limited to, procurement of substitute goods or services;
- // loss of use, data, or profits; or business interruption) however caused
- // and on any theory of liability, whether in contract, strict liability,
- // or tort (including negligence or otherwise) arising in any way out of
- // the use of this software, even if advised of the possibility of such damage.
- //
- //M*/
- #include "../test_precomp.hpp"
- #include "opencv2/ts/ocl_test.hpp"
- #ifdef HAVE_OPENCL
- namespace opencv_test {
- namespace ocl {
- //////////////////////////////////////// Merge ///////////////////////////////////////////////
- PARAM_TEST_CASE(Merge, MatDepth, int, bool)
- {
- int depth, nsrc;
- bool use_roi;
- TEST_DECLARE_INPUT_PARAMETER(src1);
- TEST_DECLARE_INPUT_PARAMETER(src2);
- TEST_DECLARE_INPUT_PARAMETER(src3);
- TEST_DECLARE_INPUT_PARAMETER(src4);
- TEST_DECLARE_OUTPUT_PARAMETER(dst);
- std::vector<Mat> src_roi;
- std::vector<UMat> usrc_roi;
- virtual void SetUp()
- {
- depth = GET_PARAM(0);
- nsrc = GET_PARAM(1);
- use_roi = GET_PARAM(2);
- CV_Assert(nsrc >= 1 && nsrc <= 4);
- }
- int type()
- {
- return CV_MAKE_TYPE(depth, randomInt(1, 3));
- }
- void generateTestData()
- {
- Size roiSize = randomSize(1, MAX_VALUE);
- {
- Border src1Border = randomBorder(0, use_roi ? MAX_VALUE : 0);
- randomSubMat(src1, src1_roi, roiSize, src1Border, type(), 2, 11);
- Border src2Border = randomBorder(0, use_roi ? MAX_VALUE : 0);
- randomSubMat(src2, src2_roi, roiSize, src2Border, type(), -1540, 1740);
- Border src3Border = randomBorder(0, use_roi ? MAX_VALUE : 0);
- randomSubMat(src3, src3_roi, roiSize, src3Border, type(), -1540, 1740);
- Border src4Border = randomBorder(0, use_roi ? MAX_VALUE : 0);
- randomSubMat(src4, src4_roi, roiSize, src4Border, type(), -1540, 1740);
- }
- UMAT_UPLOAD_INPUT_PARAMETER(src1);
- UMAT_UPLOAD_INPUT_PARAMETER(src2);
- UMAT_UPLOAD_INPUT_PARAMETER(src3);
- UMAT_UPLOAD_INPUT_PARAMETER(src4);
- src_roi.clear(); usrc_roi.clear(); // for test_loop_times > 1
- src_roi.push_back(src1_roi), usrc_roi.push_back(usrc1_roi);
- if (nsrc >= 2)
- src_roi.push_back(src2_roi), usrc_roi.push_back(usrc2_roi);
- if (nsrc >= 3)
- src_roi.push_back(src3_roi), usrc_roi.push_back(usrc3_roi);
- if (nsrc >= 4)
- src_roi.push_back(src4_roi), usrc_roi.push_back(usrc4_roi);
- int dcn = 0;
- for (int i = 0; i < nsrc; ++i)
- dcn += src_roi[i].channels();
- Border dstBorder = randomBorder(0, use_roi ? MAX_VALUE : 0);
- randomSubMat(dst, dst_roi, roiSize, dstBorder, CV_MAKE_TYPE(depth, dcn), 5, 16);
- UMAT_UPLOAD_OUTPUT_PARAMETER(dst);
- }
- void Near(double threshold = 0.)
- {
- OCL_EXPECT_MATS_NEAR(dst, threshold);
- }
- };
- OCL_TEST_P(Merge, Accuracy)
- {
- for(int j = 0; j < test_loop_times; j++)
- {
- generateTestData();
- OCL_OFF(cv::merge(src_roi, dst_roi));
- OCL_ON(cv::merge(usrc_roi, udst_roi));
- Near();
- }
- }
- //////////////////////////////////////// Split ///////////////////////////////////////////////
- PARAM_TEST_CASE(Split, MatType, Channels, bool)
- {
- int depth, cn;
- bool use_roi;
- TEST_DECLARE_INPUT_PARAMETER(src);
- TEST_DECLARE_OUTPUT_PARAMETER(dst1);
- TEST_DECLARE_OUTPUT_PARAMETER(dst2);
- TEST_DECLARE_OUTPUT_PARAMETER(dst3);
- TEST_DECLARE_OUTPUT_PARAMETER(dst4);
- std::vector<Mat> dst_roi, dst;
- std::vector<UMat> udst_roi, udst;
- virtual void SetUp()
- {
- depth = GET_PARAM(0);
- cn = GET_PARAM(1);
- use_roi = GET_PARAM(2);
- CV_Assert(cn >= 1 && cn <= 4);
- }
- void generateTestData()
- {
- Size roiSize = randomSize(1, MAX_VALUE);
- Border srcBorder = randomBorder(0, use_roi ? MAX_VALUE : 0);
- randomSubMat(src, src_roi, roiSize, srcBorder, CV_MAKE_TYPE(depth, cn), 5, 16);
- {
- Border dst1Border = randomBorder(0, use_roi ? MAX_VALUE : 0);
- randomSubMat(dst1, dst1_roi, roiSize, dst1Border, depth, 2, 11);
- Border dst2Border = randomBorder(0, use_roi ? MAX_VALUE : 0);
- randomSubMat(dst2, dst2_roi, roiSize, dst2Border, depth, -1540, 1740);
- Border dst3Border = randomBorder(0, use_roi ? MAX_VALUE : 0);
- randomSubMat(dst3, dst3_roi, roiSize, dst3Border, depth, -1540, 1740);
- Border dst4Border = randomBorder(0, use_roi ? MAX_VALUE : 0);
- randomSubMat(dst4, dst4_roi, roiSize, dst4Border, depth, -1540, 1740);
- }
- UMAT_UPLOAD_INPUT_PARAMETER(src);
- UMAT_UPLOAD_OUTPUT_PARAMETER(dst1);
- UMAT_UPLOAD_OUTPUT_PARAMETER(dst2);
- UMAT_UPLOAD_OUTPUT_PARAMETER(dst3);
- UMAT_UPLOAD_OUTPUT_PARAMETER(dst4);
- dst_roi.push_back(dst1_roi), udst_roi.push_back(udst1_roi),
- dst.push_back(dst1), udst.push_back(udst1);
- if (cn >= 2)
- dst_roi.push_back(dst2_roi), udst_roi.push_back(udst2_roi),
- dst.push_back(dst2), udst.push_back(udst2);
- if (cn >= 3)
- dst_roi.push_back(dst3_roi), udst_roi.push_back(udst3_roi),
- dst.push_back(dst3), udst.push_back(udst3);
- if (cn >= 4)
- dst_roi.push_back(dst4_roi), udst_roi.push_back(udst4_roi),
- dst.push_back(dst4), udst.push_back(udst4);
- }
- };
- OCL_TEST_P(Split, Accuracy)
- {
- for (int j = 0; j < test_loop_times; j++)
- {
- generateTestData();
- OCL_OFF(cv::split(src_roi, dst_roi));
- OCL_ON(cv::split(usrc_roi, udst_roi));
- for (int i = 0; i < cn; ++i)
- {
- EXPECT_MAT_NEAR(dst[i], udst[i], 0.0);
- EXPECT_MAT_NEAR(dst_roi[i], udst_roi[i], 0.0);
- }
- }
- }
- //////////////////////////////////////// MixChannels ///////////////////////////////////////////////
- PARAM_TEST_CASE(MixChannels, MatType, bool)
- {
- int depth;
- bool use_roi;
- TEST_DECLARE_INPUT_PARAMETER(src1);
- TEST_DECLARE_INPUT_PARAMETER(src2);
- TEST_DECLARE_INPUT_PARAMETER(src3);
- TEST_DECLARE_INPUT_PARAMETER(src4);
- TEST_DECLARE_OUTPUT_PARAMETER(dst1);
- TEST_DECLARE_OUTPUT_PARAMETER(dst2);
- TEST_DECLARE_OUTPUT_PARAMETER(dst3);
- TEST_DECLARE_OUTPUT_PARAMETER(dst4);
- std::vector<Mat> src_roi, dst_roi, dst;
- std::vector<UMat> usrc_roi, udst_roi, udst;
- std::vector<int> fromTo;
- virtual void SetUp()
- {
- depth = GET_PARAM(0);
- use_roi = GET_PARAM(1);
- }
- // generate number of channels and create type
- int type()
- {
- int cn = randomInt(1, 5);
- return CV_MAKE_TYPE(depth, cn);
- }
- void generateTestData()
- {
- src_roi.clear();
- dst_roi.clear();
- dst.clear();
- usrc_roi.clear();
- udst_roi.clear();
- udst.clear();
- fromTo.clear();
- Size roiSize = randomSize(1, MAX_VALUE);
- {
- Border src1Border = randomBorder(0, use_roi ? MAX_VALUE : 0);
- randomSubMat(src1, src1_roi, roiSize, src1Border, type(), 2, 11);
- Border src2Border = randomBorder(0, use_roi ? MAX_VALUE : 0);
- randomSubMat(src2, src2_roi, roiSize, src2Border, type(), -1540, 1740);
- Border src3Border = randomBorder(0, use_roi ? MAX_VALUE : 0);
- randomSubMat(src3, src3_roi, roiSize, src3Border, type(), -1540, 1740);
- Border src4Border = randomBorder(0, use_roi ? MAX_VALUE : 0);
- randomSubMat(src4, src4_roi, roiSize, src4Border, type(), -1540, 1740);
- }
- {
- Border dst1Border = randomBorder(0, use_roi ? MAX_VALUE : 0);
- randomSubMat(dst1, dst1_roi, roiSize, dst1Border, type(), 2, 11);
- Border dst2Border = randomBorder(0, use_roi ? MAX_VALUE : 0);
- randomSubMat(dst2, dst2_roi, roiSize, dst2Border, type(), -1540, 1740);
- Border dst3Border = randomBorder(0, use_roi ? MAX_VALUE : 0);
- randomSubMat(dst3, dst3_roi, roiSize, dst3Border, type(), -1540, 1740);
- Border dst4Border = randomBorder(0, use_roi ? MAX_VALUE : 0);
- randomSubMat(dst4, dst4_roi, roiSize, dst4Border, type(), -1540, 1740);
- }
- UMAT_UPLOAD_INPUT_PARAMETER(src1);
- UMAT_UPLOAD_INPUT_PARAMETER(src2);
- UMAT_UPLOAD_INPUT_PARAMETER(src3);
- UMAT_UPLOAD_INPUT_PARAMETER(src4);
- UMAT_UPLOAD_OUTPUT_PARAMETER(dst1);
- UMAT_UPLOAD_OUTPUT_PARAMETER(dst2);
- UMAT_UPLOAD_OUTPUT_PARAMETER(dst3);
- UMAT_UPLOAD_OUTPUT_PARAMETER(dst4);
- int nsrc = randomInt(1, 5), ndst = randomInt(1, 5);
- src_roi.push_back(src1_roi), usrc_roi.push_back(usrc1_roi);
- if (nsrc >= 2)
- src_roi.push_back(src2_roi), usrc_roi.push_back(usrc2_roi);
- if (nsrc >= 3)
- src_roi.push_back(src3_roi), usrc_roi.push_back(usrc3_roi);
- if (nsrc >= 4)
- src_roi.push_back(src4_roi), usrc_roi.push_back(usrc4_roi);
- dst_roi.push_back(dst1_roi), udst_roi.push_back(udst1_roi),
- dst.push_back(dst1), udst.push_back(udst1);
- if (ndst >= 2)
- dst_roi.push_back(dst2_roi), udst_roi.push_back(udst2_roi),
- dst.push_back(dst2), udst.push_back(udst2);
- if (ndst >= 3)
- dst_roi.push_back(dst3_roi), udst_roi.push_back(udst3_roi),
- dst.push_back(dst3), udst.push_back(udst3);
- if (ndst >= 4)
- dst_roi.push_back(dst4_roi), udst_roi.push_back(udst4_roi),
- dst.push_back(dst4), udst.push_back(udst4);
- int scntotal = 0, dcntotal = 0;
- for (int i = 0; i < nsrc; ++i)
- scntotal += src_roi[i].channels();
- for (int i = 0; i < ndst; ++i)
- dcntotal += dst_roi[i].channels();
- int npairs = randomInt(1, std::min(scntotal, dcntotal) + 1);
- fromTo.resize(npairs << 1);
- for (int i = 0; i < npairs; ++i)
- {
- fromTo[i<<1] = randomInt(0, scntotal);
- fromTo[(i<<1)+1] = randomInt(0, dcntotal);
- }
- }
- };
- OCL_TEST_P(MixChannels, Accuracy)
- {
- for (int j = 0; j < test_loop_times + 10; j++)
- {
- generateTestData();
- OCL_OFF(cv::mixChannels(src_roi, dst_roi, fromTo));
- OCL_ON(cv::mixChannels(usrc_roi, udst_roi, fromTo));
- for (size_t i = 0, size = dst_roi.size(); i < size; ++i)
- {
- EXPECT_MAT_NEAR(dst[i], udst[i], 0.0);
- EXPECT_MAT_NEAR(dst_roi[i], udst_roi[i], 0.0);
- }
- }
- }
- //////////////////////////////////////// InsertChannel ///////////////////////////////////////////////
- PARAM_TEST_CASE(InsertChannel, MatDepth, Channels, bool)
- {
- int depth, cn, coi;
- bool use_roi;
- TEST_DECLARE_INPUT_PARAMETER(src);
- TEST_DECLARE_OUTPUT_PARAMETER(dst);
- virtual void SetUp()
- {
- depth = GET_PARAM(0);
- cn = GET_PARAM(1);
- use_roi = GET_PARAM(2);
- }
- void generateTestData()
- {
- Size roiSize = randomSize(1, MAX_VALUE);
- coi = randomInt(0, cn);
- Border srcBorder = randomBorder(0, use_roi ? MAX_VALUE : 0);
- randomSubMat(src, src_roi, roiSize, srcBorder, depth, 2, 11);
- Border dstBorder = randomBorder(0, use_roi ? MAX_VALUE : 0);
- randomSubMat(dst, dst_roi, roiSize, dstBorder, CV_MAKE_TYPE(depth, cn), 5, 16);
- UMAT_UPLOAD_INPUT_PARAMETER(src);
- UMAT_UPLOAD_OUTPUT_PARAMETER(dst);
- }
- };
- OCL_TEST_P(InsertChannel, Accuracy)
- {
- for(int j = 0; j < test_loop_times; j++)
- {
- generateTestData();
- OCL_OFF(cv::insertChannel(src_roi, dst_roi, coi));
- OCL_ON(cv::insertChannel(usrc_roi, udst_roi, coi));
- OCL_EXPECT_MATS_NEAR(dst, 0);
- }
- }
- //////////////////////////////////////// ExtractChannel ///////////////////////////////////////////////
- PARAM_TEST_CASE(ExtractChannel, MatDepth, Channels, bool)
- {
- int depth, cn, coi;
- bool use_roi;
- TEST_DECLARE_INPUT_PARAMETER(src);
- TEST_DECLARE_OUTPUT_PARAMETER(dst);
- virtual void SetUp()
- {
- depth = GET_PARAM(0);
- cn = GET_PARAM(1);
- use_roi = GET_PARAM(2);
- }
- void generateTestData()
- {
- Size roiSize = randomSize(1, MAX_VALUE);
- coi = randomInt(0, cn);
- Border srcBorder = randomBorder(0, use_roi ? MAX_VALUE : 0);
- randomSubMat(src, src_roi, roiSize, srcBorder, CV_MAKE_TYPE(depth, cn), 2, 11);
- Border dstBorder = randomBorder(0, use_roi ? MAX_VALUE : 0);
- randomSubMat(dst, dst_roi, roiSize, dstBorder, depth, 5, 16);
- UMAT_UPLOAD_INPUT_PARAMETER(src);
- UMAT_UPLOAD_OUTPUT_PARAMETER(dst);
- }
- };
- OCL_TEST_P(ExtractChannel, Accuracy)
- {
- for(int j = 0; j < test_loop_times; j++)
- {
- generateTestData();
- OCL_OFF(cv::extractChannel(src_roi, dst_roi, coi));
- OCL_ON(cv::extractChannel(usrc_roi, udst_roi, coi));
- OCL_EXPECT_MATS_NEAR(dst, 0);
- }
- }
- //////////////////////////////////////// Instantiation ///////////////////////////////////////////////
- OCL_INSTANTIATE_TEST_CASE_P(Channels, Merge, Combine(OCL_ALL_DEPTHS, Values(1, 2, 3, 4), Bool()));
- OCL_INSTANTIATE_TEST_CASE_P(Channels, Split, Combine(OCL_ALL_DEPTHS, OCL_ALL_CHANNELS, Bool()));
- OCL_INSTANTIATE_TEST_CASE_P(Channels, MixChannels, Combine(OCL_ALL_DEPTHS, Bool()));
- OCL_INSTANTIATE_TEST_CASE_P(Channels, InsertChannel, Combine(OCL_ALL_DEPTHS, OCL_ALL_CHANNELS, Bool()));
- OCL_INSTANTIATE_TEST_CASE_P(Channels, ExtractChannel, Combine(OCL_ALL_DEPTHS, OCL_ALL_CHANNELS, Bool()));
- } } // namespace opencv_test::ocl
- #endif // HAVE_OPENCL
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