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

409 lines
13 KiB
C++
Raw Normal View History

///////////////////////////////////////////////////////////////////////////////
// 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 Utilities;
2017-11-03 08:34:55 +00:00
#define WARN_STREAM( stream ) \
std::cout << "Warning: " << stream << std::endl
2017-11-02 09:06:53 +00:00
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 << "ERROR: failed to create output directory:" << p.string() << ", do you have permission to create directory" << std::endl;
exit(1);
}
}
}
2017-11-13 09:07:52 +00:00
RecorderOpenFace::RecorderOpenFace(const std::string in_filename, RecorderOpenFaceParameters parameters, std::vector<std::string>& arguments):video_writer(), params(parameters)
{
// From the filename, strip out the name without directory and extension
if (boost::filesystem::is_directory(in_filename))
{
filename = boost::filesystem::canonical(boost::filesystem::path(in_filename)).filename().string();
}
else
{
filename = boost::filesystem::path(in_filename).filename().replace_extension("").string();
}
2017-11-09 18:37:26 +00:00
// Consuming the input arguments
bool* valid = new bool[arguments.size()];
for (size_t i = 0; i < arguments.size(); ++i)
{
valid[i] = true;
}
2017-11-09 18:37:26 +00:00
for (size_t i = 0; i < arguments.size(); ++i)
{
if (arguments[i].compare("-out_dir") == 0)
{
record_root = arguments[i + 1];
}
}
// Determine output directory
bool output_found = false;
for (size_t i = 0; i < arguments.size(); ++i)
{
if (!output_found && arguments[i].compare("-of") == 0)
{
record_root = (boost::filesystem::path(record_root) / boost::filesystem::path(arguments[i + 1])).remove_filename().string();
filename = path(boost::filesystem::path(arguments[i + 1])).replace_extension("").filename().string();
valid[i] = false;
valid[i + 1] = false;
i++;
output_found = true;
}
}
// If recording directory not set, record to default location
if (record_root.empty())
record_root = default_record_directory;
for (int i = (int)arguments.size() - 1; i >= 0; --i)
{
if (!valid[i])
{
arguments.erase(arguments.begin() + i);
2017-11-09 18:37:26 +00:00
}
}
// Construct the directories required for the output
2017-11-02 09:06:53 +00:00
CreateDirectory(record_root);
// Create the filename for the general output file that contains all of the meta information about the recording
path of_det_name(filename);
2017-12-17 12:59:55 +00:00
of_det_name = path(record_root) / path(filename + "_of_details.txt");
// Write in the of file what we are outputing what is the input etc.
metadata_file.open(of_det_name.string(), std::ios_base::out);
2017-11-14 20:19:11 +00:00
if (!metadata_file.is_open())
{
cout << "ERROR: could not open the output file:" << of_det_name << ", either the path of the output directory is wrong or you do not have the permissions to write to it" << endl;
exit(1);
}
// Populate relative and full path names in the meta file, unless it is a webcam
2017-12-12 17:48:46 +00:00
if(!params.isFromWebcam())
{
string input_filename_relative = in_filename;
string input_filename_full = in_filename;
if (!boost::filesystem::path(input_filename_full).is_absolute())
{
input_filename_full = boost::filesystem::canonical(input_filename_relative).string();
}
metadata_file << "Input:" << input_filename_relative << endl;
metadata_file << "Input full path:" << input_filename_full << endl;
}
else
{
// Populate the metadata file
2017-12-12 17:48:46 +00:00
metadata_file << "Input:webcam" << endl;
}
2017-12-12 08:57:07 +00:00
metadata_file << "Camera parameters:" << parameters.getFx() << "," << parameters.getFy() << "," << parameters.getCx() << "," << parameters.getCy() << endl;
// Create the required individual recorders, CSV, HOG, aligned, video
2017-12-17 12:59:55 +00:00
csv_filename = filename + ".csv";
// Consruct HOG recorder here
if(params.outputHOG())
2017-11-01 20:03:31 +00:00
{
// Output the data based on record_root, but do not include record_root in the meta file, as it is also in that directory
2017-12-17 12:59:55 +00:00
std::string hog_filename = filename + ".hog";
metadata_file << "Output HOG:" << hog_filename << endl;
hog_filename = (path(record_root) / hog_filename).string();
2017-11-01 20:03:31 +00:00
hog_recorder.Open(hog_filename);
}
// saving the videos
if (params.outputTracked())
2017-11-03 08:34:55 +00:00
{
2017-11-13 09:07:52 +00:00
if(parameters.isSequence())
{
// Output the data based on record_root, but do not include record_root in the meta file, as it is also in that directory
2017-12-17 12:59:55 +00:00
this->media_filename = filename + ".avi";
metadata_file << "Output video:" << this->media_filename << endl;
this->media_filename = (path(record_root) / this->media_filename).string();
2017-11-13 09:07:52 +00:00
}
else
{
2017-12-17 12:59:55 +00:00
this->media_filename = filename + ".jpg";
metadata_file << "Output image:" << this->media_filename << endl;
this->media_filename = (path(record_root) / this->media_filename).string();
2017-11-13 09:07:52 +00:00
}
2017-11-03 08:34:55 +00:00
}
// Prepare image recording
if (params.outputAlignedFaces())
{
2017-12-17 12:59:55 +00:00
aligned_output_directory = filename + "_aligned";
metadata_file << "Output aligned directory:" << this->aligned_output_directory << endl;
this->aligned_output_directory = (path(record_root) / this->aligned_output_directory).string();
CreateDirectory(aligned_output_directory);
}
2017-11-02 20:11:58 +00:00
observation_count = 0;
}
void RecorderOpenFace::SetObservationFaceAlign(const cv::Mat& aligned_face)
{
this->aligned_face = aligned_face;
}
2017-11-03 16:40:07 +00:00
void RecorderOpenFace::SetObservationVisualization(const cv::Mat &vis_track)
2017-11-03 08:34:55 +00:00
{
if (params.outputTracked())
2017-11-03 08:34:55 +00:00
{
// Initialize the video writer if it has not been opened yet
if(params.isSequence() && !video_writer.isOpened())
2017-11-03 08:34:55 +00:00
{
std::string output_codec = params.outputCodec();
2017-11-03 08:34:55 +00:00
try
{
video_writer.open(media_filename, CV_FOURCC(output_codec[0], output_codec[1], output_codec[2], output_codec[3]), params.outputFps(), vis_track.size(), true);
if (!video_writer.isOpened())
{
WARN_STREAM("Could not open VideoWriter, OUTPUT FILE WILL NOT BE WRITTEN.");
}
2017-11-03 08:34:55 +00:00
}
catch (cv::Exception e)
{
WARN_STREAM("Could not open VideoWriter, OUTPUT FILE WILL NOT BE WRITTEN. Currently using codec " << output_codec << ", try using an other one (-oc option)");
}
2017-11-03 08:34:55 +00:00
}
vis_to_out = vis_track;
}
}
2017-11-02 20:11:58 +00:00
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)
if(observation_count == 1)
{
// As we are writing out the header, work out some things like number of landmarks, names of AUs etc.
int num_face_landmarks = landmarks_2D.rows / 2;
int num_eye_landmarks = (int)eye_landmarks2D.size();
2017-11-05 09:30:56 +00:00
int num_model_modes = pdm_params_local.rows;
std::vector<std::string> au_names_class;
for (auto au : au_occurences)
{
au_names_class.push_back(au.first);
}
std::sort(au_names_class.begin(), au_names_class.end());
std::vector<std::string> au_names_reg;
for (auto au : au_intensities)
{
au_names_reg.push_back(au.first);
}
std::sort(au_names_reg.begin(), au_names_reg.end());
metadata_file << "Output csv:" << csv_filename << endl;
metadata_file << "Gaze: " << params.outputGaze() << endl;
metadata_file << "AUs: " << params.outputAUs() << endl;
metadata_file << "Landmarks 2D: " << params.output2DLandmarks() << endl;
metadata_file << "Landmarks 3D: " << params.output3DLandmarks() << endl;
metadata_file << "Pose: " << params.outputPose() << endl;
metadata_file << "Shape parameters: " << params.outputPDMParams() << endl;
2017-12-12 17:48:46 +00:00
csv_filename = (path(record_root) / csv_filename).string();
csv_recorder.Open(csv_filename, params.isSequence(), params.output2DLandmarks(), params.output3DLandmarks(), params.outputPDMParams(), params.outputPose(),
params.outputAUs(), params.outputGaze(), num_face_landmarks, num_model_modes, num_eye_landmarks, au_names_class, au_names_reg);
}
2017-11-03 08:34:55 +00:00
this->csv_recorder.WriteLine(observation_count, timestamp, landmark_detection_success,
landmark_detection_confidence, landmarks_2D, landmarks_3D, pdm_params_local, pdm_params_global, head_pose,
gaze_direction0, gaze_direction1, gaze_angle, eye_landmarks2D, eye_landmarks3D, au_intensities, au_occurences);
2017-11-02 20:11:58 +00:00
2017-11-04 20:57:24 +00:00
if(params.outputHOG())
2017-11-03 16:40:07 +00:00
{
this->hog_recorder.Write();
}
2017-11-03 08:34:55 +00:00
// Write aligned faces
if (params.outputAlignedFaces())
{
char name[100];
// Filename is based on frame number
if(params.isSequence())
std::sprintf(name, "frame_det_%06d.bmp", observation_count);
else
std::sprintf(name, "face_det_%06d.bmp", observation_count);
// Construct the output filename
boost::filesystem::path slash("/");
std::string preferredSlash = slash.make_preferred().string();
string out_file = aligned_output_directory + preferredSlash + string(name);
bool write_success = cv::imwrite(out_file, aligned_face);
if (!write_success)
{
WARN_STREAM("Could not output similarity aligned image image");
}
}
if(params.outputTracked())
2017-11-03 08:34:55 +00:00
{
2017-11-03 09:04:00 +00:00
if (vis_to_out.empty())
2017-11-03 08:34:55 +00:00
{
WARN_STREAM("Output tracked video frame is not set");
}
if(params.isSequence() )
{
if(video_writer.isOpened())
{
video_writer.write(vis_to_out);
}
}
else
{
bool out_success = cv::imwrite(media_filename, vis_to_out);
if (!out_success)
{
WARN_STREAM("Could not output tracked image");
}
}
2017-11-03 08:34:55 +00:00
// Clear the output
vis_to_out = cv::Mat();
}
2017-11-02 20:11:58 +00:00
}
2017-11-02 09:06:53 +00:00
void RecorderOpenFace::SetObservationHOG(bool good_frame, const cv::Mat_<double>& hog_descriptor, int num_cols, int num_rows, int num_channels)
2017-11-01 20:03:31 +00:00
{
2017-11-02 09:06:53 +00:00
this->hog_recorder.SetObservationHOG(good_frame, hog_descriptor, num_cols, num_rows, num_channels);
2017-11-01 20:03:31 +00:00
}
2017-11-02 09:06:53 +00:00
void RecorderOpenFace::SetObservationTimestamp(double timestamp)
{
this->timestamp = timestamp;
}
void RecorderOpenFace::SetObservationLandmarks(const cv::Mat_<double>& landmarks_2D, const cv::Mat_<double>& landmarks_3D,
2017-11-03 08:34:55 +00:00
const cv::Vec6d& pdm_params_global, const cv::Mat_<double>& pdm_params_local, double confidence, bool success)
2017-11-02 09:06:53 +00:00
{
this->landmarks_2D = landmarks_2D;
this->landmarks_3D = landmarks_3D;
2017-11-03 08:34:55 +00:00
this->pdm_params_global = pdm_params_global;
this->pdm_params_local = pdm_params_local;
2017-11-02 09:06:53 +00:00
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;
}
2017-11-03 08:34:55 +00:00
void RecorderOpenFace::SetObservationGaze(const cv::Point3f& gaze_direction0, const cv::Point3f& gaze_direction1,
const cv::Vec2d& gaze_angle, const std::vector<cv::Point2d>& eye_landmarks2D, const std::vector<cv::Point3d>& eye_landmarks3D)
2017-11-02 09:06:53 +00:00
{
2017-11-03 08:34:55 +00:00
this->gaze_direction0 = gaze_direction0;
this->gaze_direction1 = gaze_direction1;
2017-11-02 09:06:53 +00:00
this->gaze_angle = gaze_angle;
this->eye_landmarks2D = eye_landmarks2D;
this->eye_landmarks3D = eye_landmarks3D;
2017-11-02 09:06:53 +00:00
}
2017-11-03 16:40:07 +00:00
RecorderOpenFace::~RecorderOpenFace()
{
this->Close();
}
void RecorderOpenFace::Close()
{
hog_recorder.Close();
csv_recorder.Close();
video_writer.release();
metadata_file.close();
2017-11-03 16:40:07 +00:00
}
2017-11-02 09:06:53 +00:00