229 lines
8.8 KiB
C++
229 lines
8.8 KiB
C++
#include <iostream>
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#include <memory>
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#include <chrono>
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#include <fstream>
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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 <boost/algorithm/string.hpp>
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#include "Frame.h"
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#include "Face.h"
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#include "FrameDetector.h"
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#include "AffdexException.h"
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#include "AFaceListener.hpp"
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#include "PlottingImageListener.hpp"
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#include "StatusListener.hpp"
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using namespace std;
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using namespace affdex;
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/// <summary>
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/// Project for demoing the Windows SDK CameraDetector class (grabbing and processing frames from the camera).
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/// </summary>
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int main(int argsc, char ** argsv)
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{
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namespace po = boost::program_options; // abbreviate namespace
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std::cerr << "Hit ESCAPE key to exit app.." << endl;
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shared_ptr<FrameDetector> frameDetector;
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try{
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const std::vector<int> DEFAULT_RESOLUTION{ 1280, 720 };
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affdex::path DATA_FOLDER;
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std::vector<int> resolution;
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int process_framerate = 30;
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int camera_framerate = 15;
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int buffer_length = 2;
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int camera_id = 0;
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unsigned int nFaces = 1;
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bool draw_display = true;
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int faceDetectorMode = (int)FaceDetectorMode::LARGE_FACES;
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float last_timestamp = -1.0f;
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float capture_fps = -1.0f;
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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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po::options_description description("Project for demoing the Affdex SDK CameraDetector class (grabbing and processing frames from the camera).");
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description.add_options()
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("help,h", po::bool_switch()->default_value(false), "Display this help message.")
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#ifdef _WIN32
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("data,d", po::wvalue< affdex::path >(&DATA_FOLDER)->default_value(affdex::path(L"data"), std::string("data")), "Path to the data folder")
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#else // _WIN32
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("data,d", po::value< affdex::path >(&DATA_FOLDER)->default_value(affdex::path("data"), std::string("data")), "Path to the data folder")
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#endif // _WIN32
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("resolution,r", po::value< std::vector<int> >(&resolution)->default_value(DEFAULT_RESOLUTION, "640 480")->multitoken(), "Resolution in pixels (2-values): width height")
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("pfps", po::value< int >(&process_framerate)->default_value(30), "Processing framerate.")
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("cfps", po::value< int >(&camera_framerate)->default_value(30), "Camera capture framerate.")
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("bufferLen", po::value< int >(&buffer_length)->default_value(30), "process buffer size.")
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("cid", po::value< int >(&camera_id)->default_value(0), "Camera ID.")
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("faceMode", po::value< int >(&faceDetectorMode)->default_value((int)FaceDetectorMode::LARGE_FACES), "Face detector mode (large faces vs small faces).")
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("numFaces", po::value< unsigned int >(&nFaces)->default_value(1), "Number of faces to be tracked.")
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("draw", po::value< bool >(&draw_display)->default_value(true), "Draw metrics on screen.")
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;
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po::variables_map args;
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try
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{
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po::store(po::command_line_parser(argsc, argsv).options(description).run(), args);
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if (args["help"].as<bool>())
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{
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std::cout << description << std::endl;
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return 0;
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}
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po::notify(args);
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}
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catch (po::error& e)
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{
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std::cerr << "ERROR: " << e.what() << std::endl << std::endl;
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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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if (!boost::filesystem::exists(DATA_FOLDER))
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{
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std::cerr << "Folder doesn't exist: " << std::string(DATA_FOLDER.begin(), DATA_FOLDER.end()) << std::endl << std::endl;;
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std::cerr << "Try specifying the folder through the command line" << std::endl;
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std::cerr << description << std::endl;
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return 1;
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}
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if (resolution.size() != 2)
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{
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std::cerr << "Only two numbers must be specified for resolution." << std::endl;
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return 1;
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}
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else if (resolution[0] <= 0 || resolution[1] <= 0)
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{
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std::cerr << "Resolutions must be positive number." << std::endl;
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return 1;
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}
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std::ofstream csvFileStream;
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std::cerr << "Initializing Affdex FrameDetector" << endl;
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shared_ptr<FaceListener> faceListenPtr(new AFaceListener());
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shared_ptr<PlottingImageListener> listenPtr(new PlottingImageListener(csvFileStream, draw_display)); // Instanciate the ImageListener class
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shared_ptr<StatusListener> videoListenPtr(new StatusListener());
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frameDetector = make_shared<FrameDetector>(buffer_length, process_framerate, nFaces, (affdex::FaceDetectorMode) faceDetectorMode); // Init the FrameDetector Class
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//Initialize detectors
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frameDetector->setDetectAllEmotions(true);
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frameDetector->setDetectAllExpressions(true);
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frameDetector->setDetectAllEmojis(true);
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frameDetector->setDetectAllAppearances(true);
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frameDetector->setClassifierPath(DATA_FOLDER);
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frameDetector->setImageListener(listenPtr.get());
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frameDetector->setFaceListener(faceListenPtr.get());
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frameDetector->setProcessStatusListener(videoListenPtr.get());
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cv::VideoCapture webcam(camera_id); //Connect to the first webcam
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webcam.set(CV_CAP_PROP_FPS, camera_framerate); //Set webcam framerate.
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webcam.set(CV_CAP_PROP_FRAME_WIDTH, resolution[0]);
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webcam.set(CV_CAP_PROP_FRAME_HEIGHT, resolution[1]);
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std::cerr << "Setting the webcam frame rate to: " << camera_framerate << std::endl;
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auto start_time = std::chrono::system_clock::now();
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if (!webcam.isOpened())
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{
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std::cerr << "Error opening webcam!" << std::endl;
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return 1;
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}
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std::cout << "Max num of faces set to: " << frameDetector->getMaxNumberFaces() << std::endl;
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std::string mode;
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switch (frameDetector->getFaceDetectorMode())
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{
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case FaceDetectorMode::LARGE_FACES:
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mode = "LARGE_FACES";
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break;
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case FaceDetectorMode::SMALL_FACES:
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mode = "SMALL_FACES";
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break;
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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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//Start the frame detector thread.
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frameDetector->start();
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do{
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cv::Mat img;
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if (!webcam.read(img)) //Capture an image from the camera
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{
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std::cerr << "Failed to read frame from webcam! " << std::endl;
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break;
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}
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//Calculate the Image timestamp and the capture frame rate;
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const auto milliseconds = std::chrono::duration_cast<std::chrono::milliseconds>(std::chrono::system_clock::now() - start_time);
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const double seconds = milliseconds.count() / 1000.f;
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// Create a frame
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Frame f(img.size().width, img.size().height, img.data, Frame::COLOR_FORMAT::BGR, seconds);
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capture_fps = 1.0f / (seconds - last_timestamp);
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last_timestamp = seconds;
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frameDetector->process(f); //Pass the frame to detector
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// For each frame processed
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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 metrics to 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 the file
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//listenPtr->outputToFile(faces, frame.getTimestamp());
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}
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}
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#ifdef _WIN32
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while (!GetAsyncKeyState(VK_ESCAPE) && videoListenPtr->isRunning());
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#else // _WIN32
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while (videoListenPtr->isRunning());//(cv::waitKey(20) != -1);
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#endif
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std::cerr << "Stopping FrameDetector Thread" << endl;
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frameDetector->stop(); //Stop frame detector thread
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}
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catch (AffdexException ex)
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{
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std::cerr << "Encountered an AffdexException " << ex.what();
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return 1;
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}
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catch (std::runtime_error err)
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{
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std::cerr << "Encountered a runtime error " << err.what();
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return 1;
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}
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catch (std::exception ex)
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{
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std::cerr << "Encountered an exception " << ex.what();
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return 1;
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}
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catch (...)
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{
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std::cerr << "Encountered an unhandled exception ";
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return 1;
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}
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return 0;
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}
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