opencv/samples/gpu/super_resolution.cpp

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#include <iostream>
#include <iomanip>
#include <string>
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#include "opencv2/core.hpp"
#include "opencv2/core/utility.hpp"
#include "opencv2/highgui.hpp"
#include "opencv2/imgproc.hpp"
#include "opencv2/contrib.hpp"
#include "opencv2/superres.hpp"
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#include "opencv2/superres/optical_flow.hpp"
#include "opencv2/opencv_modules.hpp"
#if defined(HAVE_OPENCV_OCL)
#include "opencv2/ocl/ocl.hpp"
#endif
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using namespace std;
using namespace cv;
using namespace cv::superres;
bool useOclChanged;
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#define MEASURE_TIME(op) \
{ \
TickMeter tm; \
tm.start(); \
op; \
tm.stop(); \
cout << tm.getTimeSec() << " sec" << endl; \
}
static Ptr<DenseOpticalFlowExt> createOptFlow(const string& name, bool useGpu)
{
if (name == "farneback")
{
if (useGpu)
return createOptFlow_Farneback_GPU();
else
return createOptFlow_Farneback();
}
else if (name == "simple")
return createOptFlow_Simple();
else if (name == "tvl1")
{
if (useGpu)
return createOptFlow_DualTVL1_GPU();
else
return createOptFlow_DualTVL1();
}
else if (name == "brox")
return createOptFlow_Brox_GPU();
else if (name == "pyrlk")
return createOptFlow_PyrLK_GPU();
else
{
cerr << "Incorrect Optical Flow algorithm - " << name << endl;
}
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return Ptr<DenseOpticalFlowExt>();
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}
#if defined(HAVE_OPENCV_OCL)
static Ptr<DenseOpticalFlowExt> createOptFlow(const string& name)
{
if (name == "farneback")
{
return createOptFlow_Farneback_OCL();
}
else if (name == "simple")
{
useOclChanged = true;
std::cout<<"simple on OpenCL has not been implemented. Use CPU instead!\n";
return createOptFlow_Simple();
}
else if (name == "tvl1")
return createOptFlow_DualTVL1_OCL();
else if (name == "brox")
{
std::cout<<"brox has not been implemented!\n";
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return Ptr<DenseOpticalFlowExt>();
}
else if (name == "pyrlk")
return createOptFlow_PyrLK_OCL();
else
{
cerr << "Incorrect Optical Flow algorithm - " << name << endl;
}
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return Ptr<DenseOpticalFlowExt>();
}
#endif
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int main(int argc, const char* argv[])
{
useOclChanged = false;
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CommandLineParser cmd(argc, argv,
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"{ v video | | Input video }"
"{ o output | | Output video }"
"{ s scale | 4 | Scale factor }"
"{ i iterations | 180 | Iteration count }"
"{ t temporal | 4 | Radius of the temporal search area }"
"{ f flow | farneback | Optical flow algorithm (farneback, simple, tvl1, brox, pyrlk) }"
"{ g | false | CPU as default device, cuda for CUDA and ocl for OpenCL }"
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"{ h help | false | Print help message }"
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);
if (cmd.get<bool>("help"))
{
cout << "This sample demonstrates Super Resolution algorithms for video sequence" << endl;
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cmd.printMessage();
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return 0;
}
const string inputVideoName = cmd.get<string>("video");
const string outputVideoName = cmd.get<string>("output");
const int scale = cmd.get<int>("scale");
const int iterations = cmd.get<int>("iterations");
const int temporalAreaRadius = cmd.get<int>("temporal");
const string optFlow = cmd.get<string>("flow");
string gpuOption = cmd.get<string>("gpu");
std::transform(gpuOption.begin(), gpuOption.end(), gpuOption.begin(), ::tolower);
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bool useCuda = false;
bool useOcl = false;
if(gpuOption.compare("ocl") == 0)
useOcl = true;
else if(gpuOption.compare("cuda") == 0)
useCuda = true;
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#ifndef HAVE_OPENCV_OCL
if(useOcl)
{
{
cout<<"OPENCL is not compiled\n";
return 0;
}
}
#endif
#if defined(HAVE_OPENCV_OCL)
std::vector<cv::ocl::Info>info;
if(useCuda)
{
CV_Assert(!useOcl);
info.clear();
}
if(useOcl)
{
CV_Assert(!useCuda);
cv::ocl::getDevice(info);
}
#endif
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Ptr<SuperResolution> superRes;
#if defined(HAVE_OPENCV_OCL)
if(useOcl)
{
Ptr<DenseOpticalFlowExt> of = createOptFlow(optFlow);
if (of.empty())
exit(-1);
if(useOclChanged)
{
superRes = createSuperResolution_BTVL1();
useOcl = !useOcl;
}else
superRes = createSuperResolution_BTVL1_OCL();
superRes->set("opticalFlow", of);
}
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else
#endif
{
if (useCuda)
superRes = createSuperResolution_BTVL1_GPU();
else
superRes = createSuperResolution_BTVL1();
Ptr<DenseOpticalFlowExt> of = createOptFlow(optFlow, useCuda);
if (of.empty())
exit(-1);
superRes->set("opticalFlow", of);
}
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superRes->set("scale", scale);
superRes->set("iterations", iterations);
superRes->set("temporalAreaRadius", temporalAreaRadius);
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Ptr<FrameSource> frameSource;
if (useCuda)
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{
// Try to use gpu Video Decoding
try
{
frameSource = createFrameSource_Video_GPU(inputVideoName);
Mat frame;
frameSource->nextFrame(frame);
}
catch (const cv::Exception&)
{
frameSource.release();
}
}
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if (!frameSource)
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frameSource = createFrameSource_Video(inputVideoName);
// skip first frame, it is usually corrupted
{
Mat frame;
frameSource->nextFrame(frame);
cout << "Input : " << inputVideoName << " " << frame.size() << endl;
cout << "Scale factor : " << scale << endl;
cout << "Iterations : " << iterations << endl;
cout << "Temporal radius : " << temporalAreaRadius << endl;
cout << "Optical Flow : " << optFlow << endl;
#if defined(HAVE_OPENCV_OCL)
cout << "Mode : " << (useCuda ? "CUDA" : useOcl? "OpenCL" : "CPU") << endl;
#else
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cout << "Mode : " << (useCuda ? "CUDA" : "CPU") << endl;
#endif
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}
superRes->setInput(frameSource);
VideoWriter writer;
for (int i = 0;; ++i)
{
cout << '[' << setw(3) << i << "] : ";
Mat result;
#if defined(HAVE_OPENCV_OCL)
cv::ocl::oclMat result_;
if(useOcl)
{
MEASURE_TIME(superRes->nextFrame(result_));
}
else
#endif
{
MEASURE_TIME(superRes->nextFrame(result));
}
#ifdef HAVE_OPENCV_OCL
if(useOcl)
{
if(!result_.empty())
{
result_.download(result);
}
}
#endif
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if (result.empty())
break;
imshow("Super Resolution", result);
if (waitKey(1000) > 0)
break;
if (!outputVideoName.empty())
{
if (!writer.isOpened())
writer.open(outputVideoName, VideoWriter::fourcc('X', 'V', 'I', 'D'), 25.0, result.size());
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writer << result;
}
}
return 0;
}