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https://github.com/opencv/opencv.git
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78be4f66f7
Conflicts: CMakeLists.txt modules/calib3d/src/calibration.cpp modules/ocl/src/cl_programcache.cpp modules/ocl/src/filtering.cpp modules/ocl/src/imgproc.cpp samples/ocl/adaptive_bilateral_filter.cpp samples/ocl/bgfg_segm.cpp samples/ocl/clahe.cpp samples/ocl/facedetect.cpp samples/ocl/pyrlk_optical_flow.cpp samples/ocl/squares.cpp samples/ocl/surf_matcher.cpp samples/ocl/tvl1_optical_flow.cpp
264 lines
6.9 KiB
C++
264 lines
6.9 KiB
C++
#include <iostream>
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#include <iomanip>
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#include <string>
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#include "opencv2/core.hpp"
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#include "opencv2/core/utility.hpp"
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#include "opencv2/highgui.hpp"
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#include "opencv2/imgproc.hpp"
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#include "opencv2/contrib.hpp"
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#include "opencv2/superres.hpp"
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#include "opencv2/superres/optical_flow.hpp"
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#include "opencv2/opencv_modules.hpp"
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#if defined(HAVE_OPENCV_OCL)
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#include "opencv2/ocl/ocl.hpp"
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#endif
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using namespace std;
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using namespace cv;
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using namespace cv::superres;
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bool useOclChanged;
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#define MEASURE_TIME(op) \
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{ \
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TickMeter tm; \
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tm.start(); \
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op; \
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tm.stop(); \
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cout << tm.getTimeSec() << " sec" << endl; \
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}
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static Ptr<DenseOpticalFlowExt> createOptFlow(const string& name, bool useGpu)
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{
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if (name == "farneback")
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{
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if (useGpu)
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return createOptFlow_Farneback_CUDA();
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else
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return createOptFlow_Farneback();
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}
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else if (name == "simple")
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return createOptFlow_Simple();
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else if (name == "tvl1")
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{
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if (useGpu)
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return createOptFlow_DualTVL1_CUDA();
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else
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return createOptFlow_DualTVL1();
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}
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else if (name == "brox")
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return createOptFlow_Brox_CUDA();
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else if (name == "pyrlk")
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return createOptFlow_PyrLK_CUDA();
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else
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{
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cerr << "Incorrect Optical Flow algorithm - " << name << endl;
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}
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return Ptr<DenseOpticalFlowExt>();
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}
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#if defined(HAVE_OPENCV_OCL)
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static Ptr<DenseOpticalFlowExt> createOptFlow(const string& name)
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{
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if (name == "farneback")
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{
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return createOptFlow_Farneback_OCL();
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}
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else if (name == "simple")
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{
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useOclChanged = true;
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std::cout<<"simple on OpenCL has not been implemented. Use CPU instead!\n";
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return createOptFlow_Simple();
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}
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else if (name == "tvl1")
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return createOptFlow_DualTVL1_OCL();
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else if (name == "brox")
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{
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std::cout<<"brox has not been implemented!\n";
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return Ptr<DenseOpticalFlowExt>();
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}
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else if (name == "pyrlk")
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return createOptFlow_PyrLK_OCL();
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else
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{
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cerr << "Incorrect Optical Flow algorithm - " << name << endl;
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}
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return Ptr<DenseOpticalFlowExt>();
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}
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#endif
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int main(int argc, const char* argv[])
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{
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useOclChanged = false;
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CommandLineParser cmd(argc, argv,
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"{ v video | | Input video }"
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"{ o output | | Output video }"
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"{ s scale | 4 | Scale factor }"
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"{ i iterations | 180 | Iteration count }"
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"{ t temporal | 4 | Radius of the temporal search area }"
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"{ f flow | farneback | Optical flow algorithm (farneback, simple, tvl1, brox, pyrlk) }"
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"{ 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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);
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if (cmd.get<bool>("help"))
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{
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cout << "This sample demonstrates Super Resolution algorithms for video sequence" << endl;
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cmd.printMessage();
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return 0;
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}
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const string inputVideoName = cmd.get<string>("video");
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const string outputVideoName = cmd.get<string>("output");
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const int scale = cmd.get<int>("scale");
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const int iterations = cmd.get<int>("iterations");
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const int temporalAreaRadius = cmd.get<int>("temporal");
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const string optFlow = cmd.get<string>("flow");
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string gpuOption = cmd.get<string>("gpu");
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std::transform(gpuOption.begin(), gpuOption.end(), gpuOption.begin(), ::tolower);
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bool useCuda = false;
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bool useOcl = false;
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if(gpuOption.compare("ocl") == 0)
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useOcl = true;
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else if(gpuOption.compare("cuda") == 0)
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useCuda = true;
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#ifndef HAVE_OPENCV_OCL
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if(useOcl)
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{
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{
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cout<<"OPENCL is not compiled\n";
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return 0;
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}
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}
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#endif
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#if defined(HAVE_OPENCV_OCL)
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if(useCuda)
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{
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CV_Assert(!useOcl);
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}
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#endif
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Ptr<SuperResolution> superRes;
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#if defined(HAVE_OPENCV_OCL)
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if(useOcl)
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{
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Ptr<DenseOpticalFlowExt> of = createOptFlow(optFlow);
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if (of.empty())
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exit(-1);
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if(useOclChanged)
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{
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superRes = createSuperResolution_BTVL1();
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useOcl = !useOcl;
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}else
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superRes = createSuperResolution_BTVL1_OCL();
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superRes->set("opticalFlow", of);
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}
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else
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#endif
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{
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if (useCuda)
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superRes = createSuperResolution_BTVL1_CUDA();
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else
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superRes = createSuperResolution_BTVL1();
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Ptr<DenseOpticalFlowExt> of = createOptFlow(optFlow, useCuda);
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if (of.empty())
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exit(-1);
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superRes->set("opticalFlow", of);
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}
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superRes->set("scale", scale);
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superRes->set("iterations", iterations);
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superRes->set("temporalAreaRadius", temporalAreaRadius);
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Ptr<FrameSource> frameSource;
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if (useCuda)
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{
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// Try to use gpu Video Decoding
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try
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{
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frameSource = createFrameSource_Video_CUDA(inputVideoName);
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Mat frame;
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frameSource->nextFrame(frame);
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}
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catch (const cv::Exception&)
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{
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frameSource.release();
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}
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}
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if (!frameSource)
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frameSource = createFrameSource_Video(inputVideoName);
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// skip first frame, it is usually corrupted
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{
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Mat frame;
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frameSource->nextFrame(frame);
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cout << "Input : " << inputVideoName << " " << frame.size() << endl;
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cout << "Scale factor : " << scale << endl;
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cout << "Iterations : " << iterations << endl;
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cout << "Temporal radius : " << temporalAreaRadius << endl;
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cout << "Optical Flow : " << optFlow << endl;
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#if defined(HAVE_OPENCV_OCL)
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cout << "Mode : " << (useCuda ? "CUDA" : useOcl? "OpenCL" : "CPU") << endl;
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#else
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cout << "Mode : " << (useCuda ? "CUDA" : "CPU") << endl;
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#endif
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}
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superRes->setInput(frameSource);
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VideoWriter writer;
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for (int i = 0;; ++i)
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{
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cout << '[' << setw(3) << i << "] : ";
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Mat result;
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#if defined(HAVE_OPENCV_OCL)
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cv::ocl::oclMat result_;
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if(useOcl)
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{
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MEASURE_TIME(
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{
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superRes->nextFrame(result_);
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ocl::finish();
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});
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}
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else
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#endif
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{
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MEASURE_TIME(superRes->nextFrame(result));
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}
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#ifdef HAVE_OPENCV_OCL
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if(useOcl)
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{
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if(!result_.empty())
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{
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result_.download(result);
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}
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}
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#endif
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if (result.empty())
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break;
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imshow("Super Resolution", result);
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if (waitKey(1000) > 0)
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break;
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if (!outputVideoName.empty())
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{
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if (!writer.isOpened())
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writer.open(outputVideoName, VideoWriter::fourcc('X', 'V', 'I', 'D'), 25.0, result.size());
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writer << result;
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}
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}
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return 0;
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}
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