sustaining_gazes/lib/local/FaceAnalyser/include/FaceAnalyserParameters.h

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///////////////////////////////////////////////////////////////////////////////
// Copyright (C) 2017, Carnegie Mellon University and University of Cambridge,
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// 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
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//
// * 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.
//
///////////////////////////////////////////////////////////////////////////////
// Parameters of the Face analyser
#ifndef __FACE_ANALYSER_PARAM_H
#define __FACE_ANALYSER_PARAM_H
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#include <vector>
#include <opencv2/core/core.hpp>
// Boost includes
#include <filesystem.hpp>
#include <filesystem/fstream.hpp>
using namespace std;
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namespace FaceAnalysis
{
struct FaceAnalyserParameters
{
public:
// Constructors
FaceAnalyserParameters();
FaceAnalyserParameters(string root_exe);
FaceAnalyserParameters(vector<string> &arguments);
// These are the parameters of training and will not change and are fixed
const double sim_scale_au = 0.7;
const int sim_size_au = 112;
// Should the output aligned faces be grayscale
bool grayscale;
// Use getters and setters for these as they might need to reload models and make sure the scale and size ratio makes sense
void setAlignedOutput(int output_size, double scale=-1, bool masked = true);
// This will also change the model location
void OptimizeForVideos();
void OptimizeForImages();
double getAlignMask() const { return sim_align_face_mask; }
double getSimScaleOut() const { return sim_scale_out; }
int getSimSizeOut() const { return sim_size_out; }
bool getDynamic() const { return dynamic; }
string getModelLoc() const { return string(model_location); }
vector<cv::Vec3d> getOrientationBins() const { return vector<cv::Vec3d>(orientation_bins); }
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private:
void init();
// Aligned face output size
double sim_scale_out;
int sim_size_out;
// Should aligned face be masked out from background
bool sim_align_face_mask;
// Should a video stream be assumed
bool dynamic;
// Where to load the models from
string model_location;
// The location of the executable
boost::filesystem::path root;
vector<cv::Vec3d> orientation_bins;
};
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}
#endif // __FACE_ANALYSER_PARAM_H