sustaining_gazes/lib/local/Recorder/src/RecorderOpenFace.cpp

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///////////////////////////////////////////////////////////////////////////////
// Copyright (C) 2017, Tadas Baltrusaitis, all rights reserved.
//
// ACADEMIC OR NON-PROFIT ORGANIZATION NONCOMMERCIAL RESEARCH USE ONLY
//
// BY USING OR DOWNLOADING THE SOFTWARE, YOU ARE AGREEING TO THE TERMS OF THIS LICENSE AGREEMENT.
// IF YOU DO NOT AGREE WITH THESE TERMS, YOU MAY NOT USE OR DOWNLOAD THE SOFTWARE.
//
// License can be found in OpenFace-license.txt
//
// * Any publications arising from the use of this software, including but
// not limited to academic journal and conference publications, technical
// reports and manuals, must cite at least one of the following works:
//
// OpenFace: an open source facial behavior analysis toolkit
// Tadas Baltru<72>aitis, Peter Robinson, and Louis-Philippe Morency
// in IEEE Winter Conference on Applications of Computer Vision, 2016
//
// Rendering of Eyes for Eye-Shape Registration and Gaze Estimation
// Erroll Wood, Tadas Baltru<72>aitis, Xucong Zhang, Yusuke Sugano, Peter Robinson, and Andreas Bulling
// in IEEE International. Conference on Computer Vision (ICCV), 2015
//
// Cross-dataset learning and person-speci?c normalisation for automatic Action Unit detection
// Tadas Baltru<72>aitis, Marwa Mahmoud, and Peter Robinson
// in Facial Expression Recognition and Analysis Challenge,
// IEEE International Conference on Automatic Face and Gesture Recognition, 2015
//
// Constrained Local Neural Fields for robust facial landmark detection in the wild.
// Tadas Baltru<72>aitis, Peter Robinson, and Louis-Philippe Morency.
// in IEEE Int. Conference on Computer Vision Workshops, 300 Faces in-the-Wild Challenge, 2013.
//
///////////////////////////////////////////////////////////////////////////////
#include "RecorderOpenFace.h"
// For sorting
#include <algorithm>
// File manipulation
#include <fstream>
#include <sstream>
#include <iostream>
// Boost includes for file system manipulation
#include <filesystem.hpp>
#include <filesystem/fstream.hpp>
#include <boost/algorithm/string.hpp>
using namespace boost::filesystem;
using namespace Recorder;
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void CreateDirectory(std::string output_path)
{
// Creating the right directory structure
auto p = path(output_path);
if (!boost::filesystem::exists(p))
{
bool success = boost::filesystem::create_directories(p);
if (!success)
{
std::cout << "Failed to create a directory..." << p.string() << std::endl;
}
}
}
RecorderOpenFace::RecorderOpenFace(const std::string out_directory, const std::string in_filename, bool sequence, bool output_2D_landmarks, bool output_3D_landmarks, bool output_model_params, bool output_pose,
bool output_AUs, bool output_gaze, bool output_hog, bool output_tracked_video, bool output_aligned_faces, int num_face_landmarks, int num_model_modes, int num_eye_landmarks,
const std::vector<std::string>& au_names_class, const std::vector<std::string>& au_names_reg):
is_sequence(sequence), output_2D_landmarks(output_2D_landmarks), output_3D_landmarks(output_3D_landmarks), output_aligned_faces(output_aligned_faces),
output_AUs(output_AUs), output_gaze(output_gaze), output_hog(output_hog), output_model_params(output_model_params),
output_pose(output_pose), output_tracked_video(output_tracked_video)
{
// From the filename, strip out the name without directory and extension
filename = path(in_filename).replace_extension("").filename().string();
record_root = out_directory;
// Construct the directories required for the output
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CreateDirectory(record_root);
// Create the required individual recorders, CSV, HOG, aligned, video
std::string csv_filename = (path(record_root) / path(filename).replace_extension(".csv")).string();
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csv_recorder.Open(csv_filename, output_2D_landmarks, output_3D_landmarks, output_model_params, output_pose,
output_AUs, output_gaze, num_face_landmarks, num_model_modes, num_eye_landmarks, au_names_class, au_names_reg);
// Consruct HOG recorder here
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if(output_hog)
{
std::string hog_filename = (path(record_root) / path(filename).replace_extension(".hog")).string();
hog_recorder.Open(hog_filename);
}
// TODO construct a video recorder
// Prepare image recording
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observation_count = 0;
}
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void RecorderOpenFace::WriteObservation()
{
observation_count++;
// Write out the CSV file (it will always be there, even if not outputting anything more but frame/face numbers)
this->csv_recorder.WriteLine(observation_count, timestamp, landmark_detection_success;
// TODO HOG
}
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void RecorderOpenFace::SetObservationHOG(bool good_frame, const cv::Mat_<double>& hog_descriptor, int num_cols, int num_rows, int num_channels)
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{
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this->hog_recorder.SetObservationHOG(good_frame, hog_descriptor, num_cols, num_rows, num_channels);
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}
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void RecorderOpenFace::SetObservationTimestamp(double timestamp)
{
this->timestamp = timestamp;
}
void RecorderOpenFace::SetObservationLandmarks(const cv::Mat_<double>& landmarks_2D, const cv::Mat_<double>& landmarks_3D,
const cv::Vec6d& params_global, const cv::Mat_<double>& params_local, double confidence, bool success)
{
this->landmarks_2D = landmarks_2D;
this->landmarks_3D = landmarks_3D;
this->params_global = params_global;
this->params_local = params_local;
this->landmark_detection_confidence = confidence;
this->landmark_detection_success = success;
}
void RecorderOpenFace::SetObservationPose(const cv::Vec6d& pose)
{
this->head_pose = pose;
}
void RecorderOpenFace::SetObservationActionUnits(const std::vector<std::pair<std::string, double> >& au_intensities,
const std::vector<std::pair<std::string, double> >& au_occurences)
{
this->au_intensities = au_intensities;
this->au_occurences = au_occurences;
}
void RecorderOpenFace::SetObservationGaze(const cv::Point3f& gazeDirection0, const cv::Point3f& gazeDirection1,
const cv::Vec2d& gaze_angle, const cv::Mat_<double>& eye_landmarks)
{
this->gazeDirection0 = gazeDirection0;
this->gazeDirection1 = gazeDirection1;
this->gaze_angle = gaze_angle;
this->eye_landmarks = eye_landmarks;
}
// TODO the other 4 constructors + destructors?