Add to video-demo the ability to process photos as well as images
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0d8c63f959
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1 changed files with 75 additions and 51 deletions
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@ -3,13 +3,14 @@
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#include <chrono>
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#include <fstream>
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#include <opencv2/highgui/highgui.hpp>
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#include <highgui.h>
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#include <opencv2/imgproc/imgproc.hpp>
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#include <boost/filesystem.hpp>
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#include <boost/timer/timer.hpp>
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#include <boost/program_options.hpp>
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#include "VideoDetector.h"
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#include "PhotoDetector.h"
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#include "AffdexException.h"
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#include "AFaceListener.hpp"
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@ -20,13 +21,17 @@
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using namespace std;
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using namespace affdex;
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/// <summary>
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/// Project demos how to use the Affdex Windows SDK VideoDetector
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/// </summary>
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int main(int argsc, char ** argsv)
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{
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//Defaults, overridden by the command line parameters
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std::map<boost::filesystem::path, bool> VIDEO_EXTS = { {boost::filesystem::path(".avi"), 1},
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{boost::filesystem::path(".mov"), 1},
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{boost::filesystem::path(".flv"), 1},
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{boost::filesystem::path(".webm"), 1},
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{boost::filesystem::path(".wmv"), 1},
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{boost::filesystem::path(".mp4"), 1} };
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affdex::path DATA_FOLDER;
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affdex::path LICENSE_PATH;
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affdex::path videoPath;
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@ -34,12 +39,12 @@ int main(int argsc, char ** argsv)
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bool draw_display = true;
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bool loop = false;
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unsigned int nFaces = 1;
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int faceDetectorMode = (int)FaceDetectorMode::SMALL_FACES;
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int faceDetectorMode = (int)FaceDetectorMode::LARGE_FACES;
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const int precision = 2;
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std::cerr.precision(precision);
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std::cout.precision(precision);
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namespace po = boost::program_options; // abbreviate namespace
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po::options_description description("Project for demoing the Windows SDK VideoDetector class (processing video files).");
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description.add_options()
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@ -76,7 +81,7 @@ int main(int argsc, char ** argsv)
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std::cerr << "For help, use the -h option." << std::endl << std::endl;
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return 1;
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}
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// Parse and check the data folder (with assets)
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if (!boost::filesystem::exists(DATA_FOLDER))
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{
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@ -87,25 +92,37 @@ int main(int argsc, char ** argsv)
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}
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try
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{
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//Initialize the video file detector
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VideoDetector videoDetector(process_framerate, nFaces, (affdex::FaceDetectorMode) faceDetectorMode);
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std::shared_ptr<Detector> detector;
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//Initialize out file
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boost::filesystem::path csvPath(videoPath);
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boost::filesystem::path fileExt = csvPath.extension();
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csvPath.replace_extension(".csv");
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std::ofstream csvFileStream(csvPath.c_str());
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if (!csvFileStream.is_open())
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{
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std::cerr << "Unable to open csv file " << csvPath << std::endl;
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return 1;
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}
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std::cout << "Max num of faces set to: " << videoDetector.getMaxNumberFaces() << std::endl;
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if (VIDEO_EXTS[fileExt]) // IF it is a video file.
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{
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detector = std::make_shared<VideoDetector>(process_framerate, nFaces, (affdex::FaceDetectorMode) faceDetectorMode);
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}
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else //Otherwise it's a photo
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{
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detector = std::make_shared<PhotoDetector>(nFaces, (affdex::FaceDetectorMode) faceDetectorMode);
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}
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//VideoDetector videoDetector(process_framerate, nFaces, (affdex::FaceDetectorMode) faceDetectorMode);
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std::cout << "Max num of faces set to: " << detector->getMaxNumberFaces() << std::endl;
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std::string mode;
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switch (videoDetector.getFaceDetectorMode())
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switch (detector->getFaceDetectorMode())
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{
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case FaceDetectorMode::LARGE_FACES:
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mode = "LARGE_FACES";
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@ -116,67 +133,74 @@ int main(int argsc, char ** argsv)
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default:
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break;
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}
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std::cout << "Face detector mode set to: " << mode << std::endl;
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shared_ptr<PlottingImageListener> listenPtr(new PlottingImageListener(csvFileStream, draw_display));
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//Activate all the detectors
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videoDetector.setDetectAllEmotions(true);
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videoDetector.setDetectAllExpressions(true);
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videoDetector.setDetectAllEmojis(true);
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videoDetector.setDetectGender(true);
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videoDetector.setDetectGlasses(true);
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//Set the location of the data folder and license file
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videoDetector.setClassifierPath(DATA_FOLDER);
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videoDetector.setLicensePath(LICENSE_PATH);
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//Add callback functions implementations
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videoDetector.setImageListener(listenPtr.get());
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videoDetector.start(); //Initialize the detectors .. call only once
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detector->setDetectAllEmotions(true);
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detector->setDetectAllExpressions(true);
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detector->setDetectAllEmojis(true);
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detector->setDetectGender(true);
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detector->setDetectGlasses(true);
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detector->setClassifierPath(DATA_FOLDER);
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detector->setLicensePath(LICENSE_PATH);
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detector->setImageListener(listenPtr.get());
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detector->start(); //Initialize the detectors .. call only once
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do
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{
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shared_ptr<StatusListener> videoListenPtr = std::make_shared<StatusListener>();
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videoDetector.setProcessStatusListener(videoListenPtr.get());
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videoDetector.process(videoPath); //Process a video
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//For each frame processed
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while (videoListenPtr->isRunning())
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detector->setProcessStatusListener(videoListenPtr.get());
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if (VIDEO_EXTS[fileExt])
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{
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((VideoDetector *)detector.get())->process(videoPath); //Process a video
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}
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else
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{
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//videoPath is of type std::wstring on windows, but std::string on other platforms.
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cv::Mat img = cv::imread(std::string(videoPath.begin(), videoPath.end()));
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// Create a frame
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Frame frame(img.size().width, img.size().height, img.data, Frame::COLOR_FORMAT::BGR);
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((PhotoDetector *)detector.get())->process(frame); //Process an image
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}
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while (!VIDEO_EXTS[fileExt] || videoListenPtr->isRunning())
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{
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if (listenPtr->getDataSize() > 0)
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{
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std::pair<Frame, std::map<FaceId, Face> > dataPoint = listenPtr->getData();
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Frame frame = dataPoint.first;
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std::map<FaceId, Face> faces = dataPoint.second;
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//Draw on the GUI
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if (draw_display)
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{
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listenPtr->draw(faces, frame);
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}
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std::cerr << "timestamp: " << frame.getTimestamp()
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<< " cfps: " << listenPtr->getCaptureFrameRate()
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<< " pfps: " << listenPtr->getProcessingFrameRate()
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<< " faces: "<< faces.size() << endl;
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//Output metrics to file
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listenPtr->outputToFile(faces, frame.getTimestamp());
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}
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}
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} while(loop);
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videoDetector.stop();
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detector->stop();
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csvFileStream.close();
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std::cout << "Output written to file: " << csvPath << std::endl;
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}
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catch (AffdexException ex)
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{
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std::cerr << ex.what();
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}
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return 0;
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}
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