252 lines
8.0 KiB
C++
252 lines
8.0 KiB
C++
/*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-3);
|
|
|
|
#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
|