Affectiva affdex不能正确处理视频

Question

我在Ubuntu 16.04上使用C ++的affectiva affdex。我正在使用的程序如下。作为输入，我提供30分钟的mp4视频。我已按照affectiva网页上的所有步骤进行操作（下载Ubuntu-16.04 x86_64 4.0-75和sudo apt-get install libcurl4-openssl-dev uuid-dev）。

问题是对于某些视频，处理在大约2分钟后终止。对于其他视频，缺少大部分（例如，缺少10分钟的帧）。我没有收到任何错误，控制台上的输出是“[Affectiva]视频处理已完成。”

为什么会这样？

#define _GLIBCXX_USE_CXX11_ABI 0
#include "VideoDetector.h"
#include "FrameDetector.h"

#include <iostream>
#include <fstream>
#include <mutex>
#include <condition_variable>

std::mutex m;
std::condition_variable conditional_variable;
bool processed = false;

class Listener : public affdex::ImageListener {
public:
    Listener(std::ofstream * fout) {
        this->fout = fout;
  }
  virtual void onImageCapture(affdex::Frame image){
  }
  virtual void onImageResults(std::map<affdex::FaceId, affdex::Face> faces, affdex::Frame image){
      for(auto& kv : faces){
        (*this->fout) << image.getTimestamp() << ",";
        (*this->fout) << kv.first << ",";
        (*this->fout) << kv.second.emotions.joy << ",";
        (*this->fout) << kv.second.emotions.fear << ",";
        (*this->fout) << kv.second.emotions.disgust << ",";
        (*this->fout) << kv.second.emotions.sadness << ",";
        (*this->fout) << kv.second.emotions.anger << ",";
        (*this->fout) << kv.second.emotions.surprise << ",";
        (*this->fout) << kv.second.emotions.contempt << ",";
        (*this->fout) << kv.second.emotions.valence << ",";
        (*this->fout) << kv.second.emotions.engagement << ",";
        (*this->fout) << kv.second.measurements.orientation.pitch << ",";
        (*this->fout) << kv.second.measurements.orientation.yaw << ",";
        (*this->fout) << kv.second.measurements.orientation.roll << std::endl;
      }
  }
private:
    std::ofstream * fout;
};

class ProcessListener : public affdex::ProcessStatusListener{
public:
    virtual void onProcessingException (affdex::AffdexException ex){
        std::cerr << "[Error] " << ex.getExceptionMessage();
    }
    virtual void onProcessingFinished (){
        {
            std::lock_guard<std::mutex> lk(m);
            processed = true;
            std::cout << "[Affectiva] Video processing finised." << std::endl;
        }
        conditional_variable.notify_one();
    }
};

int main(int argc, char ** argsv)
{
        affdex::VideoDetector detector(60);
        std::string classifierPath="/home/test/affdex-sdk/data";
        detector.setClassifierPath(classifierPath);
        detector.setDetectAllEmotions(true);

        std::ofstream fout(argsv[2]);
        fout << "timestamp" << ",";
        fout << "faceId" << ",";
        fout << "joy" << ",";
        fout << "fear" << ",";
        fout << "disgust" << ",";
        fout << "sadness" << ",";
        fout << "anger" << ",";
        fout << "surprise" << ",";
        fout << "contempt" << ",";
        fout << "valence" << ",";
        fout << "engagement"  << ",";
        fout << "pitch" << ",";
        fout << "yaw" << ",";
        fout << "roll" << std::endl;

        Listener l(&fout);
        ProcessListener pl;
        detector.setImageListener(&l);
        detector.setProcessStatusListener(&pl);

        detector.start();
        detector.process(argsv[1]);
        {
            std::unique_lock<std::mutex> lk(m);
            conditional_variable.wait(lk, []{return processed;});
        }
        fout.flush();
        fout.close();
}