/*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" #ifdef HAVE_CUDA using namespace cvtest; CV_ENUM(ThreshOp, cv::THRESH_BINARY, cv::THRESH_BINARY_INV, cv::THRESH_TRUNC, cv::THRESH_TOZERO, cv::THRESH_TOZERO_INV) #define ALL_THRESH_OPS testing::Values(ThreshOp(cv::THRESH_BINARY), ThreshOp(cv::THRESH_BINARY_INV), ThreshOp(cv::THRESH_TRUNC), ThreshOp(cv::THRESH_TOZERO), ThreshOp(cv::THRESH_TOZERO_INV)) PARAM_TEST_CASE(Threshold, cv::gpu::DeviceInfo, cv::Size, MatType, ThreshOp, UseRoi) { cv::gpu::DeviceInfo devInfo; cv::Size size; int type; int threshOp; bool useRoi; virtual void SetUp() { devInfo = GET_PARAM(0); size = GET_PARAM(1); type = GET_PARAM(2); threshOp = GET_PARAM(3); useRoi = GET_PARAM(4); cv::gpu::setDevice(devInfo.deviceID()); } }; GPU_TEST_P(Threshold, Accuracy) { cv::Mat src = randomMat(size, type); double maxVal = randomDouble(20.0, 127.0); double thresh = randomDouble(0.0, maxVal); cv::gpu::GpuMat dst = createMat(src.size(), src.type(), useRoi); cv::gpu::threshold(loadMat(src, useRoi), dst, thresh, maxVal, threshOp); cv::Mat dst_gold; cv::threshold(src, dst_gold, thresh, maxVal, threshOp); EXPECT_MAT_NEAR(dst_gold, dst, 0.0); } INSTANTIATE_TEST_CASE_P(GPU_ImgProc, Threshold, testing::Combine( ALL_DEVICES, DIFFERENT_SIZES, testing::Values(MatType(CV_8UC1), MatType(CV_16SC1), MatType(CV_32FC1)), ALL_THRESH_OPS, WHOLE_SUBMAT)); #endif // HAVE_CUDA