Open Source Computer Vision Library https://opencv.org/
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/*M///////////////////////////////////////////////////////////////////////////////////////
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// For Open Source Computer Vision Library
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#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