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257 lines
8.2 KiB
C++
257 lines
8.2 KiB
C++
/*M///////////////////////////////////////////////////////////////////////////////////////
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//
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// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
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//
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// By downloading, copying, installing or using the software you agree to this license.
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// If you do not agree to this license, do not download, install,
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// copy or use the software.
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//
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//
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// Intel License Agreement
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// For Open Source Computer Vision Library
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//
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// Copyright (C) 2000, Intel Corporation, all rights reserved.
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// Third party copyrights are property of their respective owners.
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//
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// Redistribution and use in source and binary forms, with or without modification,
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// are permitted provided that the following conditions are met:
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//
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// * Redistribution's of source code must retain the above copyright notice,
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// this list of conditions and the following disclaimer.
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//
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// * Redistribution's in binary form must reproduce the above copyright notice,
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// this list of conditions and the following disclaimer in the documentation
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// and/or other materials provided with the distribution.
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//
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// * The name of Intel Corporation may not be used to endorse or promote products
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// derived from this software without specific prior written permission.
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//
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// This software is provided by the copyright holders and contributors "as is" and
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// any express or implied warranties, including, but not limited to, the implied
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// warranties of merchantability and fitness for a particular purpose are disclaimed.
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// In no event shall the Intel Corporation or contributors be liable for any direct,
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// indirect, incidental, special, exemplary, or consequential damages
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// (including, but not limited to, procurement of substitute goods or services;
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// loss of use, data, or profits; or business interruption) however caused
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// and on any theory of liability, whether in contract, strict liability,
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// or tort (including negligence or otherwise) arising in any way out of
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// the use of this software, even if advised of the possibility of such damage.
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//
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//M*/
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#include "test_precomp.hpp"
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#ifdef HAVE_CUDA
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using namespace cvtest;
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using namespace testing;
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//#define DUMP
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#define OPTICAL_FLOW_DUMP_FILE "opticalflow/opticalflow_gold.bin"
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#define OPTICAL_FLOW_DUMP_FILE_CC20 "opticalflow/opticalflow_gold_cc20.bin"
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#define INTERPOLATE_FRAMES_DUMP_FILE "opticalflow/interpolate_frames_gold.bin"
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#define INTERPOLATE_FRAMES_DUMP_FILE_CC20 "opticalflow/interpolate_frames_gold_cc20.bin"
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/////////////////////////////////////////////////////////////////////////////////////////////////
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// BroxOpticalFlow
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struct BroxOpticalFlow : TestWithParam<cv::gpu::DeviceInfo>
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{
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cv::gpu::DeviceInfo devInfo;
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cv::Mat frame0;
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cv::Mat frame1;
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cv::Mat u_gold;
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cv::Mat v_gold;
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virtual void SetUp()
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{
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devInfo = GetParam();
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cv::gpu::setDevice(devInfo.deviceID());
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frame0 = readImage("opticalflow/frame0.png", cv::IMREAD_GRAYSCALE);
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ASSERT_FALSE(frame0.empty());
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frame0.convertTo(frame0, CV_32F, 1.0 / 255.0);
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frame1 = readImage("opticalflow/frame1.png", cv::IMREAD_GRAYSCALE);
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ASSERT_FALSE(frame1.empty());
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frame1.convertTo(frame1, CV_32F, 1.0 / 255.0);
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#ifndef DUMP
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std::string fname(cvtest::TS::ptr()->get_data_path());
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if (devInfo.majorVersion() >= 2)
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fname += OPTICAL_FLOW_DUMP_FILE_CC20;
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else
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fname += OPTICAL_FLOW_DUMP_FILE;
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std::ifstream f(fname.c_str(), std::ios_base::binary);
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int rows, cols;
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f.read((char*)&rows, sizeof(rows));
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f.read((char*)&cols, sizeof(cols));
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u_gold.create(rows, cols, CV_32FC1);
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for (int i = 0; i < u_gold.rows; ++i)
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f.read((char*)u_gold.ptr(i), u_gold.cols * sizeof(float));
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v_gold.create(rows, cols, CV_32FC1);
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for (int i = 0; i < v_gold.rows; ++i)
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f.read((char*)v_gold.ptr(i), v_gold.cols * sizeof(float));
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#endif
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}
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};
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TEST_P(BroxOpticalFlow, Regression)
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{
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cv::Mat u;
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cv::Mat v;
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cv::gpu::BroxOpticalFlow d_flow(0.197f /*alpha*/, 50.0f /*gamma*/, 0.8f /*scale_factor*/,
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10 /*inner_iterations*/, 77 /*outer_iterations*/, 10 /*solver_iterations*/);
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ASSERT_NO_THROW(
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cv::gpu::GpuMat d_u;
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cv::gpu::GpuMat d_v;
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d_flow(cv::gpu::GpuMat(frame0), cv::gpu::GpuMat(frame1), d_u, d_v);
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d_u.download(u);
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d_v.download(v);
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d_flow.buf.release();
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);
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#ifndef DUMP
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EXPECT_MAT_NEAR(u_gold, u, 0);
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EXPECT_MAT_NEAR(v_gold, v, 0);
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#else
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std::string fname(cvtest::TS::ptr()->get_data_path());
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if (devInfo.majorVersion() >= 2)
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fname += OPTICAL_FLOW_DUMP_FILE_CC20;
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else
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fname += OPTICAL_FLOW_DUMP_FILE;
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std::ofstream f(fname.c_str(), std::ios_base::binary);
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f.write((char*)&u.rows, sizeof(u.rows));
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f.write((char*)&u.cols, sizeof(u.cols));
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for (int i = 0; i < u.rows; ++i)
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f.write((char*)u.ptr(i), u.cols * sizeof(float));
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for (int i = 0; i < v.rows; ++i)
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f.write((char*)v.ptr(i), v.cols * sizeof(float));
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#endif
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}
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INSTANTIATE_TEST_CASE_P(Video, BroxOpticalFlow, ALL_DEVICES);
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/////////////////////////////////////////////////////////////////////////////////////////////////
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// InterpolateFrames
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struct InterpolateFrames : TestWithParam<cv::gpu::DeviceInfo>
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{
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cv::gpu::DeviceInfo devInfo;
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cv::Mat frame0;
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cv::Mat frame1;
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cv::Mat newFrame_gold;
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virtual void SetUp()
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{
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devInfo = GetParam();
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cv::gpu::setDevice(devInfo.deviceID());
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frame0 = readImage("opticalflow/frame0.png", cv::IMREAD_GRAYSCALE);
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ASSERT_FALSE(frame0.empty());
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frame0.convertTo(frame0, CV_32F, 1.0 / 255.0);
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frame1 = readImage("opticalflow/frame1.png", cv::IMREAD_GRAYSCALE);
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ASSERT_FALSE(frame1.empty());
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frame1.convertTo(frame1, CV_32F, 1.0 / 255.0);
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#ifndef DUMP
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std::string fname(cvtest::TS::ptr()->get_data_path());
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if (devInfo.majorVersion() >= 2)
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fname += INTERPOLATE_FRAMES_DUMP_FILE_CC20;
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else
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fname += INTERPOLATE_FRAMES_DUMP_FILE;
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std::ifstream f(fname.c_str(), std::ios_base::binary);
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int rows, cols;
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f.read((char*)&rows, sizeof(rows));
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f.read((char*)&cols, sizeof(cols));
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newFrame_gold.create(rows, cols, CV_32FC1);
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for (int i = 0; i < newFrame_gold.rows; ++i)
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f.read((char*)newFrame_gold.ptr(i), newFrame_gold.cols * sizeof(float));
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#endif
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}
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};
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TEST_P(InterpolateFrames, Regression)
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{
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cv::Mat newFrame;
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cv::gpu::BroxOpticalFlow d_flow(0.197f /*alpha*/, 50.0f /*gamma*/, 0.8f /*scale_factor*/,
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10 /*inner_iterations*/, 77 /*outer_iterations*/, 10 /*solver_iterations*/);
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ASSERT_NO_THROW(
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cv::gpu::GpuMat d_frame0(frame0);
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cv::gpu::GpuMat d_frame1(frame1);
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cv::gpu::GpuMat d_fu;
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cv::gpu::GpuMat d_fv;
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cv::gpu::GpuMat d_bu;
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cv::gpu::GpuMat d_bv;
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cv::gpu::GpuMat d_newFrame;
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cv::gpu::GpuMat d_buf;
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d_flow(d_frame0, d_frame1, d_fu, d_fv);
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d_flow(d_frame1, d_frame0, d_bu, d_bv);
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cv::gpu::interpolateFrames(d_frame0, d_frame1, d_fu, d_fv, d_bu, d_bv, 0.5f, d_newFrame, d_buf);
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d_newFrame.download(newFrame);
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d_flow.buf.release();
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);
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#ifndef DUMP
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EXPECT_MAT_NEAR(newFrame_gold, newFrame, 1e-3);
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#else
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std::string fname(cvtest::TS::ptr()->get_data_path());
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if (devInfo.majorVersion() >= 2)
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fname += INTERPOLATE_FRAMES_DUMP_FILE_CC20;
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else
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fname += INTERPOLATE_FRAMES_DUMP_FILE;
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std::ofstream f(fname.c_str(), std::ios_base::binary);
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f.write((char*)&newFrame.rows, sizeof(newFrame.rows));
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f.write((char*)&newFrame.cols, sizeof(newFrame.cols));
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for (int i = 0; i < newFrame.rows; ++i)
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f.write((char*)newFrame.ptr(i), newFrame.cols * sizeof(float));
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#endif
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}
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INSTANTIATE_TEST_CASE_P(Video, InterpolateFrames, ALL_DEVICES);
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#endif
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