/*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 //#define DUMP #define OPTICAL_FLOW_DUMP_FILE "opticalflow/opticalflow_gold.bin" #define OPTICAL_FLOW_DUMP_FILE_CC20 "opticalflow/opticalflow_gold_cc20.bin" #define INTERPOLATE_FRAMES_DUMP_FILE "opticalflow/interpolate_frames_gold.bin" #define INTERPOLATE_FRAMES_DUMP_FILE_CC20 "opticalflow/interpolate_frames_gold_cc20.bin" struct BroxOpticalFlow : testing::TestWithParam< cv::gpu::DeviceInfo > { cv::gpu::DeviceInfo devInfo; cv::Mat frame0; cv::Mat frame1; cv::Mat u_gold; cv::Mat v_gold; virtual void SetUp() { devInfo = GetParam(); cv::gpu::setDevice(devInfo.deviceID()); frame0 = readImage("opticalflow/frame0.png", cv::IMREAD_GRAYSCALE); ASSERT_FALSE(frame0.empty()); frame0.convertTo(frame0, CV_32F, 1.0 / 255.0); frame1 = readImage("opticalflow/frame1.png", cv::IMREAD_GRAYSCALE); ASSERT_FALSE(frame1.empty()); frame1.convertTo(frame1, CV_32F, 1.0 / 255.0); #ifndef DUMP std::string fname(cvtest::TS::ptr()->get_data_path()); if (devInfo.majorVersion() >= 2) fname += OPTICAL_FLOW_DUMP_FILE_CC20; else fname += OPTICAL_FLOW_DUMP_FILE; std::ifstream f(fname.c_str(), std::ios_base::binary); int rows, cols; f.read((char*)&rows, sizeof(rows)); f.read((char*)&cols, sizeof(cols)); u_gold.create(rows, cols, CV_32FC1); for (int i = 0; i < u_gold.rows; ++i) f.read((char*)u_gold.ptr(i), u_gold.cols * sizeof(float)); v_gold.create(rows, cols, CV_32FC1); for (int i = 0; i < v_gold.rows; ++i) f.read((char*)v_gold.ptr(i), v_gold.cols * sizeof(float)); #endif } }; TEST_P(BroxOpticalFlow, Regression) { PRINT_PARAM(devInfo); cv::Mat u; cv::Mat v; cv::gpu::BroxOpticalFlow d_flow(0.197f /*alpha*/, 50.0f /*gamma*/, 0.8f /*scale_factor*/, 10 /*inner_iterations*/, 77 /*outer_iterations*/, 10 /*solver_iterations*/); ASSERT_NO_THROW( cv::gpu::GpuMat d_u; cv::gpu::GpuMat d_v; d_flow(cv::gpu::GpuMat(frame0), cv::gpu::GpuMat(frame1), d_u, d_v); d_u.download(u); d_v.download(v); d_flow.buf.release(); ); #ifndef DUMP EXPECT_MAT_NEAR(u_gold, u, 0); EXPECT_MAT_NEAR(v_gold, v, 0); #else std::string fname(cvtest::TS::ptr()->get_data_path()); if (devInfo.majorVersion() >= 2) fname += OPTICAL_FLOW_DUMP_FILE_CC20; else fname += OPTICAL_FLOW_DUMP_FILE; std::ofstream f(fname.c_str(), std::ios_base::binary); f.write((char*)&u.rows, sizeof(u.rows)); f.write((char*)&u.cols, sizeof(u.cols)); for (int i = 0; i < u.rows; ++i) f.write((char*)u.ptr(i), u.cols * sizeof(float)); for (int i = 0; i < v.rows; ++i) f.write((char*)v.ptr(i), v.cols * sizeof(float)); #endif } INSTANTIATE_TEST_CASE_P(Video, BroxOpticalFlow, testing::ValuesIn(devices())); struct InterpolateFrames : testing::TestWithParam< cv::gpu::DeviceInfo > { cv::gpu::DeviceInfo devInfo; cv::Mat frame0; cv::Mat frame1; cv::Mat newFrame_gold; virtual void SetUp() { devInfo = GetParam(); cv::gpu::setDevice(devInfo.deviceID()); frame0 = readImage("opticalflow/frame0.png", cv::IMREAD_GRAYSCALE); ASSERT_FALSE(frame0.empty()); frame0.convertTo(frame0, CV_32F, 1.0 / 255.0); frame1 = readImage("opticalflow/frame1.png", cv::IMREAD_GRAYSCALE); ASSERT_FALSE(frame1.empty()); frame1.convertTo(frame1, CV_32F, 1.0 / 255.0); #ifndef DUMP std::string fname(cvtest::TS::ptr()->get_data_path()); if (devInfo.majorVersion() >= 2) fname += INTERPOLATE_FRAMES_DUMP_FILE_CC20; else fname += INTERPOLATE_FRAMES_DUMP_FILE; std::ifstream f(fname.c_str(), std::ios_base::binary); int rows, cols; f.read((char*)&rows, sizeof(rows)); f.read((char*)&cols, sizeof(cols)); newFrame_gold.create(rows, cols, CV_32FC1); for (int i = 0; i < newFrame_gold.rows; ++i) f.read((char*)newFrame_gold.ptr(i), newFrame_gold.cols * sizeof(float)); #endif } }; TEST_P(InterpolateFrames, Regression) { PRINT_PARAM(devInfo); cv::Mat newFrame; cv::gpu::BroxOpticalFlow d_flow(0.197f /*alpha*/, 50.0f /*gamma*/, 0.8f /*scale_factor*/, 10 /*inner_iterations*/, 77 /*outer_iterations*/, 10 /*solver_iterations*/); ASSERT_NO_THROW( cv::gpu::GpuMat d_frame0(frame0); cv::gpu::GpuMat d_frame1(frame1); cv::gpu::GpuMat d_fu; cv::gpu::GpuMat d_fv; cv::gpu::GpuMat d_bu; cv::gpu::GpuMat d_bv; cv::gpu::GpuMat d_newFrame; cv::gpu::GpuMat d_buf; d_flow(d_frame0, d_frame1, d_fu, d_fv); d_flow(d_frame1, d_frame0, d_bu, d_bv); cv::gpu::interpolateFrames(d_frame0, d_frame1, d_fu, d_fv, d_bu, d_bv, 0.5f, d_newFrame, d_buf); d_newFrame.download(newFrame); d_flow.buf.release(); ); #ifndef DUMP EXPECT_MAT_NEAR(newFrame_gold, newFrame, 1e-4); #else std::string fname(cvtest::TS::ptr()->get_data_path()); if (devInfo.majorVersion() >= 2) fname += INTERPOLATE_FRAMES_DUMP_FILE_CC20; else fname += INTERPOLATE_FRAMES_DUMP_FILE; std::ofstream f(fname.c_str(), std::ios_base::binary); f.write((char*)&newFrame.rows, sizeof(newFrame.rows)); f.write((char*)&newFrame.cols, sizeof(newFrame.cols)); for (int i = 0; i < newFrame.rows; ++i) f.write((char*)newFrame.ptr(i), newFrame.cols * sizeof(float)); #endif } INSTANTIATE_TEST_CASE_P(Video, InterpolateFrames, testing::ValuesIn(devices())); #endif