/*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. // // // Intel License Agreement // For Open Source Computer Vision Library // // Copyright (C) 2000, Intel Corporation, all rights reserved. // Third party copyrights are property of their respective owners. // // 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 Intel Corporation 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" namespace opencv_test { namespace { typedef testing::TestWithParam > Video_Acc_Cn4; TEST_P(Video_Acc_Cn4, accuracy) { const Size size = get<0>(GetParam()); const int pattern = get<1>(GetParam()); const int srcType = get<2>(GetParam()); RNG& rng = theRNG(); Mat src(size, srcType); Mat dst(size, CV_32FC4); Mat mask(size, CV_8UC1); if (srcType == CV_8UC4) rng.fill(src, RNG::UNIFORM, Scalar::all(0), Scalar::all(256)); else rng.fill(src, RNG::UNIFORM, Scalar::all(-10.0), Scalar::all(10.0)); rng.fill(dst, RNG::UNIFORM, Scalar::all(-1000.0), Scalar::all(1000.0)); for (int y = 0; y < mask.rows; ++y) { uchar* row = mask.ptr(y); for (int x = 0; x < mask.cols; ++x) { switch (pattern) { case 0: row[x] = 0; break; case 1: row[x] = 255; break; case 2: row[x] = ((x + y) % 2) ? 255 : 0; break; case 3: row[x] = ((x * 13 + y * 7) % 5) ? 255 : 0; break; default: row[x] = ((x * 17 + y * 11) % 3) ? 255 : 0; break; } } } Mat dstRef = dst.clone(); if (srcType == CV_32FC4) { for (int y = 0; y < src.rows; ++y) { const Vec4f* srcRow = src.ptr(y); Vec4f* dstRefRow = dstRef.ptr(y); const uchar* maskRow = mask.ptr(y); for (int x = 0; x < src.cols; ++x) { if (maskRow[x]) { for (int c = 0; c < 4; ++c) dstRefRow[x][c] += srcRow[x][c]; } } } } else { CV_Assert(srcType == CV_8UC4); for (int y = 0; y < src.rows; ++y) { const Vec4b* srcRow = src.ptr(y); Vec4f* dstRefRow = dstRef.ptr(y); const uchar* maskRow = mask.ptr(y); for (int x = 0; x < src.cols; ++x) { if (maskRow[x]) { for (int c = 0; c < 4; ++c) dstRefRow[x][c] += static_cast(srcRow[x][c]); } } } } cv::accumulate(src, dst, mask); const double err = cv::norm(dst, dstRef, NORM_INF); EXPECT_EQ(0.0, err) << "size=" << size << ", pattern=" << pattern << ", srcType=" << srcType; } INSTANTIATE_TEST_CASE_P(Accumulate, Video_Acc_Cn4, testing::Combine( testing::Values(Size(1, 1), Size(3, 5), Size(17, 7), Size(37, 19), Size(128, 16), Size(641, 37)), testing::Values(0, 1, 2, 3, 4), testing::Values(CV_32FC4, CV_8UC4))); }} // namespace