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Open Source Computer Vision Library
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156 lines
4.4 KiB
156 lines
4.4 KiB
#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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using namespace std; |
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using namespace cv; |
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using namespace cv::superres; |
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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_GPU(); |
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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_GPU(); |
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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_GPU(); |
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else if (name == "pyrlk") |
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return createOptFlow_PyrLK_GPU(); |
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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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int main(int argc, const char* argv[]) |
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{ |
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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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"{ gpu | false | Use GPU }" |
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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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const bool useGpu = cmd.get<bool>("gpu"); |
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Ptr<SuperResolution> superRes; |
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if (useGpu) |
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superRes = createSuperResolution_BTVL1_GPU(); |
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else |
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superRes = createSuperResolution_BTVL1(); |
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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<DenseOpticalFlowExt> of = createOptFlow(optFlow, useGpu); |
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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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Ptr<FrameSource> frameSource; |
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if (useGpu) |
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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_GPU(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.empty()) |
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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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cout << "Mode : " << (useGpu ? "GPU" : "CPU") << endl; |
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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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MEASURE_TIME(superRes->nextFrame(result)); |
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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, CV_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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