sustaining_gazes/lib/local/CppInerop/RecorderInterop.h
2018-01-28 10:16:20 +00:00

250 lines
8.8 KiB
C++

///////////////////////////////////////////////////////////////////////////////
// Copyright (C) 2017, Tadas Baltrusaitis.
//
// 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 Baltrušaitis, 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 Baltrušaitis, 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 Baltrušaitis, 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 Baltrušaitis, Peter Robinson, and Louis-Philippe Morency.
// in IEEE Int. Conference on Computer Vision Workshops, 300 Faces in-the-Wild Challenge, 2013.
//
///////////////////////////////////////////////////////////////////////////////
// Camera_Interop.h
#pragma once
#pragma unmanaged
// Include all the unmanaged things we need.
#include "RecorderOpenFace.h"
#pragma managed
#include <msclr\marshal.h>
#include <msclr\marshal_cppstd.h>
namespace UtilitiesOF {
public ref class RecorderOpenFaceParameters
{
private:
Utilities::RecorderOpenFaceParameters *m_params;
public:
RecorderOpenFaceParameters(bool sequence, bool is_from_webcam, 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,
bool output_aligned_faces, float fx, float fy, float cx, float cy, double fps_vid_out)
{
m_params = new Utilities::RecorderOpenFaceParameters(sequence, is_from_webcam,
output_2D_landmarks, output_3D_landmarks, output_model_params, output_pose, output_AUs,
output_gaze, output_hog, output_tracked, output_aligned_faces, fx, fy, cx, cy, fps_vid_out);
}
Utilities::RecorderOpenFaceParameters * GetParams()
{
return m_params;
}
!RecorderOpenFaceParameters()
{
// Automatically closes capture object before freeing memory.
if (m_params != nullptr)
{
delete m_params;
}
}
// Destructor. Called on explicit Dispose() only.
~RecorderOpenFaceParameters()
{
this->!RecorderOpenFaceParameters();
}
};
public ref class RecorderOpenFace
{
private:
// OpenCV based video capture for reading from files
Utilities::RecorderOpenFace* m_recorder;
public:
// Can provide a directory, or a list of files
RecorderOpenFace(System::String^ in_filename, UtilitiesOF::RecorderOpenFaceParameters^ parameters, System::String^ output_directory)
{
std::string in_filename_std = msclr::interop::marshal_as<std::string>(in_filename);
std::string output_directory_std = msclr::interop::marshal_as<std::string>(output_directory);
m_recorder = new Utilities::RecorderOpenFace(in_filename_std, *parameters->GetParams(), output_directory_std);
}
void Close()
{
m_recorder->Close();
}
void WriteObservation()
{
m_recorder->WriteObservation();
}
void SetObservationGaze(System::Tuple<double, double, double>^ gaze_direction0, System::Tuple<double, double, double>^ gaze_direction1, System::Tuple<double, double>^ gaze_angle,
List<System::Tuple<double, double>^>^ landmarks_2D, List<System::Tuple<double,double,double>^>^ landmarks_3D)
{
cv::Point3f gaze_direction0_cv(gaze_direction0->Item1, gaze_direction0->Item2, gaze_direction0->Item3);
cv::Point3f gaze_direction1_cv(gaze_direction1->Item1, gaze_direction1->Item2, gaze_direction1->Item3);
cv::Vec2d gaze_angle_cv(gaze_angle->Item1, gaze_angle->Item2);
// Construct an OpenCV matrix from the landmarks
std::vector<cv::Point2d> landmarks_2D_cv;
for (int i = 0; i < landmarks_2D->Count; ++i)
{
landmarks_2D_cv.push_back(cv::Point2d(landmarks_2D[i]->Item1, landmarks_2D[i]->Item2));
}
// Construct an OpenCV matrix from the landmarks
std::vector<cv::Point3d> landmarks_3D_cv;
for (int i = 0; i < landmarks_3D->Count; ++i)
{
landmarks_3D_cv.push_back(cv::Point3d(landmarks_3D[i]->Item1, landmarks_3D[i]->Item2, landmarks_3D[i]->Item3));
}
m_recorder->SetObservationGaze(gaze_direction0_cv, gaze_direction1_cv, gaze_angle_cv, landmarks_2D_cv, landmarks_3D_cv);
}
System::String^ GetCSVFile()
{
return gcnew System::String(m_recorder->GetCSVFile().c_str());
}
// Setting the observations
void SetObservationTimestamp(double timestamp)
{
m_recorder->SetObservationTimestamp(timestamp);
}
void SetObservationPose(List<double>^ pose)
{
cv::Vec6d pose_vec(pose[0], pose[1], pose[2], pose[3], pose[4], pose[5]);
m_recorder->SetObservationPose(pose_vec);
}
void SetObservationActionUnits(Dictionary<System::String^, double>^ au_regs, Dictionary<System::String^, double>^ au_class)
{
std::vector<std::pair<std::string, double> > au_regs_std;
auto enum_reg = au_regs->GetEnumerator();
while (enum_reg.MoveNext())
{
std::string au_name = msclr::interop::marshal_as<std::string>(enum_reg.Current.Key);
double value = (double)enum_reg.Current.Value;
au_regs_std.push_back(std::pair<std::string, double>(au_name, value));
}
std::vector<std::pair<std::string, double> > au_class_std;
auto enum_class = au_class->GetEnumerator();
while (enum_class.MoveNext())
{
std::string au_name = msclr::interop::marshal_as<std::string>(enum_class.Current.Key);
double value = (double)enum_class.Current.Value;
au_class_std.push_back(std::pair<std::string, double>(au_name, value));
}
m_recorder->SetObservationActionUnits(au_regs_std, au_class_std);
}
void SetObservationFaceAlign(OpenCVWrappers::RawImage^ aligned_face_image)
{
m_recorder->SetObservationFaceAlign(aligned_face_image->Mat);
}
void SetObservationVisualization(OpenCVWrappers::RawImage^ vis_image)
{
m_recorder->SetObservationVisualization(vis_image->Mat);
}
void SetObservationHOG(bool success, OpenCVWrappers::RawImage^ aligned_face_image, int num_cols, int num_rows, int num_channels)
{
m_recorder->SetObservationHOG(success, aligned_face_image->Mat, num_cols, num_rows, num_channels);
}
void SetObservationLandmarks(List<System::Tuple<double, double>^>^ landmarks_2D, List<System::Tuple<double, double, double>^>^ landmarks_3D, List<double>^ params_global, List<double>^ params_local, double confidence, bool success)
{
// Construct an OpenCV matrix from the landmarks
cv::Mat_<double> landmarks_2D_mat(landmarks_2D->Count * 2, 1, 0.0);
for (int i = 0; i < landmarks_2D->Count; ++i)
{
landmarks_2D_mat.at<double>(i, 0) = landmarks_2D[i]->Item1;
landmarks_2D_mat.at<double>(i + landmarks_2D->Count, 0) = landmarks_2D[i]->Item2;
}
// Construct an OpenCV matrix from the landmarks
cv::Mat_<double> landmarks_3D_mat(landmarks_3D->Count * 3, 1, 0.0);
for (int i = 0; i < landmarks_3D->Count; ++i)
{
landmarks_3D_mat.at<double>(i, 0) = landmarks_3D[i]->Item1;
landmarks_3D_mat.at<double>(i + landmarks_3D->Count, 0) = landmarks_3D[i]->Item2;
landmarks_3D_mat.at<double>(i + 2 * landmarks_3D->Count, 0) = landmarks_3D[i]->Item3;
}
cv::Vec6d params_global_vec(params_global[0], params_global[1], params_global[2], params_global[3], params_global[4], params_global[5]);
cv::Mat_<double> params_local_vec(params_local->Count, 1, 0.0);
for (int i = 0; i < params_local->Count; ++i)
{
params_local_vec.at<double>(i, 0) = params_local[i];
}
m_recorder->SetObservationLandmarks(landmarks_2D_mat, landmarks_3D_mat, params_global_vec, params_local_vec, confidence, success);
}
// Finalizer. Definitely called before Garbage Collection,
// but not automatically called on explicit Dispose().
// May be called multiple times.
!RecorderOpenFace()
{
// Automatically closes capture object before freeing memory.
if (m_recorder != nullptr)
{
delete m_recorder;
}
}
// Destructor. Called on explicit Dispose() only.
~RecorderOpenFace()
{
this->!RecorderOpenFace();
}
};
}