/*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 src_roi; std::vector 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 dst_roi, dst; std::vector 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 src_roi, dst_roi, dst; std::vector usrc_roi, udst_roi, udst; std::vector 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