1068 lines
38 KiB
C#
1068 lines
38 KiB
C#
///////////////////////////////////////////////////////////////////////////////
|
|
// Copyright (C) 2017, Carnegie Mellon University and University of Cambridge,
|
|
// 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 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.
|
|
//
|
|
///////////////////////////////////////////////////////////////////////////////
|
|
|
|
using System;
|
|
using System.Collections.Generic;
|
|
using System.Diagnostics;
|
|
using System.Threading;
|
|
using System.Windows;
|
|
using System.Windows.Threading;
|
|
using System.Windows.Media.Imaging;
|
|
using System.IO;
|
|
using Microsoft.Win32;
|
|
|
|
// Internal libraries
|
|
using OpenCVWrappers;
|
|
using CppInterop;
|
|
using CppInterop.LandmarkDetector;
|
|
using CameraInterop;
|
|
using FaceAnalyser_Interop;
|
|
using System.Globalization;
|
|
using Microsoft.WindowsAPICodePack.Dialogs;
|
|
|
|
namespace OpenFaceOffline
|
|
{
|
|
/// <summary>
|
|
/// Interaction logic for MainWindow.xaml
|
|
/// </summary>
|
|
public partial class MainWindow : Window
|
|
{
|
|
|
|
// Timing for measuring FPS
|
|
#region High-Resolution Timing
|
|
static DateTime startTime;
|
|
static Stopwatch sw = new Stopwatch();
|
|
|
|
static MainWindow()
|
|
{
|
|
startTime = DateTime.Now;
|
|
sw.Start();
|
|
}
|
|
|
|
public static DateTime CurrentTime
|
|
{
|
|
get { return startTime + sw.Elapsed; }
|
|
}
|
|
#endregion
|
|
|
|
// -----------------------------------------------------------------
|
|
// Members
|
|
// -----------------------------------------------------------------
|
|
|
|
Thread processing_thread;
|
|
|
|
// Some members for displaying the results
|
|
private Capture capture;
|
|
private WriteableBitmap latest_img;
|
|
private WriteableBitmap latest_aligned_face;
|
|
private WriteableBitmap latest_HOG_descriptor;
|
|
|
|
// Managing the running of the analysis system
|
|
private volatile bool thread_running;
|
|
private volatile bool thread_paused = false;
|
|
// Allows for going forward in time step by step
|
|
// Useful for visualising things
|
|
private volatile int skip_frames = 0;
|
|
|
|
FpsTracker processing_fps = new FpsTracker();
|
|
|
|
volatile bool detectionSucceeding = false;
|
|
|
|
// For tracking
|
|
FaceModelParameters face_model_params;
|
|
CLNF clnf_model;
|
|
FaceAnalyserManaged face_analyser;
|
|
|
|
// Recording parameters (default values)
|
|
Recorder recorder;
|
|
|
|
public bool RecordAligned { get; set; } = false; // Aligned face images
|
|
public bool RecordHOG { get; set; } = false; // HOG features extracted from face images
|
|
public bool Record2DLandmarks { get; set; } = true; // 2D locations of facial landmarks (in pixels)
|
|
public bool Record3DLandmarks { get; set; } = true; // 3D locations of facial landmarks (in pixels)
|
|
public bool RecordModelParameters { get; set; } = true; // Facial shape parameters (rigid and non-rigid geometry)
|
|
public bool RecordPose { get; set; } = true; // Head pose (position and orientation)
|
|
public bool RecordAUs { get; set; } = true; // Facial action units
|
|
public bool RecordGaze { get; set; } = true; // Eye gaze
|
|
|
|
// Visualisation options
|
|
public bool ShowTrackedVideo { get; set; } = true; // Showing the actual tracking
|
|
public bool ShowAppearance { get; set; } = true; // Showing appeaance features like HOG
|
|
public bool ShowGeometry { get; set; } = true; // Showing geometry features, pose, gaze, and non-rigid
|
|
public bool ShowAUs { get; set; } = true; // Showing Facial Action Units
|
|
|
|
int image_output_size = 112;
|
|
|
|
// Where the recording is done (by default in a record directory, from where the application executed)
|
|
String record_root = "./record";
|
|
|
|
// For AU prediction, if videos are long dynamic models should be used
|
|
public bool DynamicAUModels { get; set; } = true;
|
|
|
|
// Camera calibration parameters
|
|
public double fx = -1, fy = -1, cx = -1, cy = -1;
|
|
bool estimate_camera_parameters = true;
|
|
|
|
public MainWindow()
|
|
{
|
|
InitializeComponent();
|
|
this.DataContext = this; // For WPF data binding
|
|
|
|
// Set the icon
|
|
Uri iconUri = new Uri("logo1.ico", UriKind.RelativeOrAbsolute);
|
|
this.Icon = BitmapFrame.Create(iconUri);
|
|
|
|
String root = AppDomain.CurrentDomain.BaseDirectory;
|
|
|
|
face_model_params = new FaceModelParameters(root, false);
|
|
clnf_model = new CLNF(face_model_params);
|
|
face_analyser = new FaceAnalyserManaged(root, DynamicAUModels, image_output_size);
|
|
|
|
}
|
|
|
|
// ----------------------------------------------------------
|
|
// Actual work gets done here
|
|
|
|
// The main function call for processing images or video files, TODO rename this as it is not a loop
|
|
private void ProcessingLoop(String[] filenames, int cam_id = -1, int width = -1, int height = -1, bool multi_face = false)
|
|
{
|
|
SetupFeatureExtractionMode();
|
|
|
|
thread_running = true;
|
|
|
|
// Create the video capture and call the VideoLoop
|
|
if (filenames != null)
|
|
{
|
|
face_model_params.optimiseForVideo();
|
|
if (cam_id == -2)
|
|
{
|
|
List<String> image_files_all = new List<string>();
|
|
foreach (string image_name in filenames)
|
|
image_files_all.Add(image_name);
|
|
|
|
// Loading an image sequence that represents a video
|
|
capture = new Capture(image_files_all);
|
|
|
|
if (capture.isOpened())
|
|
{
|
|
// Prepare recording if any based on the directory
|
|
String file_no_ext = System.IO.Path.GetDirectoryName(filenames[0]);
|
|
file_no_ext = System.IO.Path.GetFileName(file_no_ext);
|
|
|
|
// Start the actual processing and recording
|
|
FeatureExtractionLoop(file_no_ext);
|
|
|
|
}
|
|
else
|
|
{
|
|
string messageBoxText = "Failed to open an image";
|
|
string caption = "Not valid file";
|
|
MessageBoxButton button = MessageBoxButton.OK;
|
|
MessageBoxImage icon = MessageBoxImage.Warning;
|
|
|
|
// Display message box
|
|
MessageBox.Show(messageBoxText, caption, button, icon);
|
|
}
|
|
}
|
|
else if (cam_id == -3)
|
|
{
|
|
// Process all the provided images
|
|
ProcessImages(filenames);
|
|
|
|
}
|
|
else
|
|
{
|
|
face_model_params.optimiseForVideo();
|
|
// Loading a video file (or a number of them)
|
|
foreach (string filename in filenames)
|
|
{
|
|
if (!thread_running)
|
|
{
|
|
continue;
|
|
}
|
|
|
|
capture = new Capture(filename);
|
|
|
|
if (capture.isOpened())
|
|
{
|
|
String file_no_ext = System.IO.Path.GetFileNameWithoutExtension(filename);
|
|
|
|
// Start the actual processing
|
|
FeatureExtractionLoop(file_no_ext);
|
|
|
|
}
|
|
else
|
|
{
|
|
string messageBoxText = "File is not a video or the codec is not supported.";
|
|
string caption = "Not valid file";
|
|
MessageBoxButton button = MessageBoxButton.OK;
|
|
MessageBoxImage icon = MessageBoxImage.Warning;
|
|
|
|
// Display message box
|
|
MessageBox.Show(messageBoxText, caption, button, icon);
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
EndMode();
|
|
|
|
}
|
|
|
|
//
|
|
private void ProcessImages(string[] filenames)
|
|
{
|
|
// Turn off unneeded visualisations and recording settings
|
|
bool TrackVid = ShowTrackedVideo; ShowTrackedVideo = true;
|
|
bool ShowApp = ShowAppearance; ShowAppearance = false;
|
|
bool ShowGeo = ShowGeometry; ShowGeometry = false;
|
|
bool showAU = ShowAUs; ShowAUs = false;
|
|
bool recAlign = RecordAligned;
|
|
bool recHOG = RecordHOG;
|
|
|
|
// Actually update the GUI accordingly
|
|
Dispatcher.Invoke(DispatcherPriority.Render, new TimeSpan(0, 0, 0, 0, 2000), (Action)(() =>
|
|
{
|
|
VisualisationChange(null, null);
|
|
}));
|
|
|
|
face_model_params.optimiseForImages();
|
|
// Loading an image file (or a number of them)
|
|
foreach (string filename in filenames)
|
|
{
|
|
if (!thread_running)
|
|
{
|
|
continue;
|
|
}
|
|
|
|
capture = new Capture(filename);
|
|
|
|
if (capture.isOpened())
|
|
{
|
|
// Start the actual processing
|
|
ProcessImage();
|
|
|
|
}
|
|
else
|
|
{
|
|
string messageBoxText = "File is not an image or the decoder is not supported.";
|
|
string caption = "Not valid file";
|
|
MessageBoxButton button = MessageBoxButton.OK;
|
|
MessageBoxImage icon = MessageBoxImage.Warning;
|
|
|
|
// Display message box
|
|
MessageBox.Show(messageBoxText, caption, button, icon);
|
|
}
|
|
}
|
|
|
|
// Clear image setup, restore the views
|
|
ShowTrackedVideo = TrackVid;
|
|
ShowAppearance = ShowApp;
|
|
ShowGeometry = ShowGeo;
|
|
ShowAUs = showAU;
|
|
RecordHOG = recHOG;
|
|
RecordAligned = recAlign;
|
|
|
|
// Actually update the GUI accordingly
|
|
Dispatcher.Invoke(DispatcherPriority.Render, new TimeSpan(0, 0, 0, 0, 2000), (Action)(() =>
|
|
{
|
|
VisualisationChange(null, null);
|
|
}));
|
|
}
|
|
|
|
// Capturing and processing the video frame by frame
|
|
private void ProcessImage()
|
|
{
|
|
Thread.CurrentThread.IsBackground = true;
|
|
|
|
clnf_model.Reset();
|
|
face_analyser.Reset();
|
|
|
|
//////////////////////////////////////////////
|
|
// CAPTURE FRAME AND DETECT LANDMARKS FOLLOWED BY THE REQUIRED IMAGE PROCESSING
|
|
//////////////////////////////////////////////
|
|
RawImage frame = null;
|
|
double progress = -1;
|
|
|
|
frame = new RawImage(capture.GetNextFrame(false));
|
|
progress = capture.GetProgress();
|
|
|
|
if (frame.Width == 0)
|
|
{
|
|
// This indicates that we reached the end of the video file
|
|
return;
|
|
}
|
|
|
|
var grayFrame = new RawImage(capture.GetCurrentFrameGray());
|
|
|
|
if (grayFrame == null)
|
|
{
|
|
Console.WriteLine("Gray is empty");
|
|
return;
|
|
}
|
|
|
|
List<List<Tuple<double, double>>> landmark_detections = ProcessImage(clnf_model, face_model_params, frame, grayFrame);
|
|
|
|
List<Point> landmark_points = new List<Point>();
|
|
|
|
for (int i = 0; i < landmark_detections.Count; ++i)
|
|
{
|
|
|
|
List<Tuple<double, double>> landmarks = landmark_detections[i];
|
|
foreach (var p in landmarks)
|
|
{
|
|
landmark_points.Add(new Point(p.Item1, p.Item2));
|
|
}
|
|
}
|
|
|
|
// Visualisation
|
|
if (ShowTrackedVideo)
|
|
{
|
|
Dispatcher.Invoke(DispatcherPriority.Render, new TimeSpan(0, 0, 0, 0, 200), (Action)(() =>
|
|
{
|
|
if (latest_img == null)
|
|
{
|
|
latest_img = frame.CreateWriteableBitmap();
|
|
}
|
|
|
|
frame.UpdateWriteableBitmap(latest_img);
|
|
|
|
video.Source = latest_img;
|
|
video.Confidence = 1;
|
|
video.FPS = processing_fps.GetFPS();
|
|
video.Progress = progress;
|
|
|
|
video.OverlayLines = new List<Tuple<Point, Point>>();
|
|
|
|
video.OverlayPoints = landmark_points;
|
|
|
|
}));
|
|
}
|
|
latest_img = null;
|
|
}
|
|
|
|
|
|
// Capturing and processing the video frame by frame
|
|
private void FeatureExtractionLoop(string output_file_name)
|
|
{
|
|
|
|
DateTime? startTime = CurrentTime;
|
|
|
|
var lastFrameTime = CurrentTime;
|
|
|
|
clnf_model.Reset();
|
|
face_analyser.Reset();
|
|
|
|
// If the camera calibration parameters are not set (indicated by -1), guesstimate them
|
|
if(estimate_camera_parameters || fx == -1 || fy == -1 || cx == -1 || cy == -1)
|
|
{
|
|
fx = 500.0 * (capture.width / 640.0);
|
|
fy = 500.0 * (capture.height / 480.0);
|
|
|
|
fx = (fx + fy) / 2.0;
|
|
fy = fx;
|
|
|
|
cx = capture.width / 2f;
|
|
cy = capture.height / 2f;
|
|
}
|
|
|
|
// Setup the recorder first
|
|
recorder = new Recorder(record_root, output_file_name, capture.width, capture.height, Record2DLandmarks, Record3DLandmarks, RecordModelParameters, RecordPose,
|
|
RecordAUs, RecordGaze, RecordAligned, RecordHOG, clnf_model, face_analyser, fx, fy, cx, cy, DynamicAUModels);
|
|
|
|
int frame_id = 0;
|
|
|
|
double fps = capture.GetFPS();
|
|
if (fps <= 0) fps = 30;
|
|
|
|
while (thread_running)
|
|
{
|
|
//////////////////////////////////////////////
|
|
// CAPTURE FRAME AND DETECT LANDMARKS FOLLOWED BY THE REQUIRED IMAGE PROCESSING
|
|
//////////////////////////////////////////////
|
|
RawImage frame = null;
|
|
double progress = -1;
|
|
|
|
frame = new RawImage(capture.GetNextFrame(false));
|
|
progress = capture.GetProgress();
|
|
|
|
if (frame.Width == 0)
|
|
{
|
|
// This indicates that we reached the end of the video file
|
|
break;
|
|
}
|
|
|
|
lastFrameTime = CurrentTime;
|
|
processing_fps.AddFrame();
|
|
|
|
var grayFrame = new RawImage(capture.GetCurrentFrameGray());
|
|
|
|
if (grayFrame == null)
|
|
{
|
|
Console.WriteLine("Gray is empty");
|
|
continue;
|
|
}
|
|
|
|
detectionSucceeding = ProcessFrame(clnf_model, face_model_params, frame, grayFrame, fx, fy, cx, cy);
|
|
|
|
// The face analysis step (for AUs and eye gaze)
|
|
face_analyser.AddNextFrame(frame, clnf_model, fx, fy, cx, cy, false, ShowAppearance, false); // TODO change
|
|
|
|
recorder.RecordFrame(clnf_model, face_analyser, detectionSucceeding, frame_id + 1, ((double)frame_id) / fps);
|
|
|
|
List<Tuple<double, double>> landmarks = clnf_model.CalculateLandmarks();
|
|
|
|
VisualizeFeatures(frame, landmarks, fx, fy, cx, cy, progress);
|
|
|
|
while (thread_running & thread_paused && skip_frames == 0)
|
|
{
|
|
Thread.Sleep(10);
|
|
}
|
|
|
|
frame_id++;
|
|
|
|
if (skip_frames > 0)
|
|
skip_frames--;
|
|
|
|
}
|
|
|
|
latest_img = null;
|
|
skip_frames = 0;
|
|
|
|
// Unpause if it's paused
|
|
if (thread_paused)
|
|
{
|
|
Dispatcher.Invoke(DispatcherPriority.Render, new TimeSpan(0, 0, 0, 0, 200), (Action)(() =>
|
|
{
|
|
PauseButton_Click(null, null);
|
|
}));
|
|
}
|
|
|
|
recorder.FinishRecording(clnf_model, face_analyser);
|
|
|
|
}
|
|
|
|
// Replaying the features frame by frame
|
|
private void FeatureVisualizationLoop(string input_feature_file, string input_video_file)
|
|
{
|
|
|
|
DateTime? startTime = CurrentTime;
|
|
|
|
var lastFrameTime = CurrentTime;
|
|
|
|
int frame_id = 0;
|
|
|
|
double fps = capture.GetFPS();
|
|
if (fps <= 0) fps = 30;
|
|
|
|
while (thread_running)
|
|
{
|
|
//////////////////////////////////////////////
|
|
// CAPTURE FRAME AND DETECT LANDMARKS FOLLOWED BY THE REQUIRED IMAGE PROCESSING
|
|
//////////////////////////////////////////////
|
|
RawImage frame = null;
|
|
double progress = -1;
|
|
|
|
frame = new RawImage(capture.GetNextFrame(false));
|
|
progress = capture.GetProgress();
|
|
|
|
if (frame.Width == 0)
|
|
{
|
|
// This indicates that we reached the end of the video file
|
|
break;
|
|
}
|
|
|
|
// TODO stop button should actually clear the video
|
|
lastFrameTime = CurrentTime;
|
|
processing_fps.AddFrame();
|
|
|
|
var grayFrame = new RawImage(capture.GetCurrentFrameGray());
|
|
|
|
if (grayFrame == null)
|
|
{
|
|
Console.WriteLine("Gray is empty");
|
|
continue;
|
|
}
|
|
|
|
detectionSucceeding = ProcessFrame(clnf_model, face_model_params, frame, grayFrame, fx, fy, cx, cy);
|
|
|
|
// The face analysis step (for AUs and eye gaze)
|
|
face_analyser.AddNextFrame(frame, clnf_model, fx, fy, cx, cy, false, ShowAppearance, false); // TODO change
|
|
|
|
recorder.RecordFrame(clnf_model, face_analyser, detectionSucceeding, frame_id + 1, ((double)frame_id) / fps);
|
|
|
|
List<Tuple<double, double>> landmarks = clnf_model.CalculateLandmarks();
|
|
|
|
VisualizeFeatures(frame, landmarks, fx, fy, cx, cy, progress);
|
|
|
|
|
|
while (thread_running & thread_paused && skip_frames == 0)
|
|
{
|
|
Thread.Sleep(10);
|
|
}
|
|
|
|
frame_id++;
|
|
|
|
if (skip_frames > 0)
|
|
skip_frames--;
|
|
|
|
}
|
|
|
|
latest_img = null;
|
|
skip_frames = 0;
|
|
|
|
// Unpause if it's paused
|
|
if (thread_paused)
|
|
{
|
|
Dispatcher.Invoke(DispatcherPriority.Render, new TimeSpan(0, 0, 0, 0, 200), (Action)(() =>
|
|
{
|
|
PauseButton_Click(null, null);
|
|
}));
|
|
}
|
|
|
|
recorder.FinishRecording(clnf_model, face_analyser);
|
|
|
|
}
|
|
|
|
|
|
private void VisualizeFeatures(RawImage frame, List<Tuple<double, double>> landmarks, double fx, double fy, double cx, double cy, double progress)
|
|
{
|
|
List<Tuple<Point, Point>> lines = null;
|
|
List<Tuple<double, double>> eye_landmarks = null;
|
|
List<Tuple<Point, Point>> gaze_lines = null;
|
|
Tuple<double, double> gaze_angle = new Tuple<double, double>(0, 0);
|
|
|
|
List<double> pose = new List<double>();
|
|
clnf_model.GetPose(pose, fx, fy, cx, cy);
|
|
List<double> non_rigid_params = clnf_model.GetNonRigidParams();
|
|
|
|
double confidence = (-clnf_model.GetConfidence()) / 2.0 + 0.5;
|
|
|
|
if (confidence < 0)
|
|
confidence = 0;
|
|
else if (confidence > 1)
|
|
confidence = 1;
|
|
|
|
double scale = 0;
|
|
|
|
if (detectionSucceeding)
|
|
{
|
|
|
|
eye_landmarks = clnf_model.CalculateEyeLandmarks();
|
|
lines = clnf_model.CalculateBox((float)fx, (float)fy, (float)cx, (float)cy);
|
|
|
|
scale = clnf_model.GetRigidParams()[0];
|
|
|
|
gaze_lines = face_analyser.CalculateGazeLines(scale, (float)fx, (float)fy, (float)cx, (float)cy);
|
|
gaze_angle = face_analyser.GetGazeAngle();
|
|
}
|
|
|
|
// Visualisation (as a separate function)
|
|
Dispatcher.Invoke(DispatcherPriority.Render, new TimeSpan(0, 0, 0, 0, 200), (Action)(() =>
|
|
{
|
|
if (ShowAUs)
|
|
{
|
|
var au_classes = face_analyser.GetCurrentAUsClass();
|
|
var au_regs = face_analyser.GetCurrentAUsReg();
|
|
|
|
auClassGraph.Update(au_classes);
|
|
|
|
var au_regs_scaled = new Dictionary<String, double>();
|
|
foreach (var au_reg in au_regs)
|
|
{
|
|
au_regs_scaled[au_reg.Key] = au_reg.Value / 5.0;
|
|
if (au_regs_scaled[au_reg.Key] < 0)
|
|
au_regs_scaled[au_reg.Key] = 0;
|
|
|
|
if (au_regs_scaled[au_reg.Key] > 1)
|
|
au_regs_scaled[au_reg.Key] = 1;
|
|
}
|
|
auRegGraph.Update(au_regs_scaled);
|
|
}
|
|
|
|
if (ShowGeometry)
|
|
{
|
|
int yaw = (int)(pose[4] * 180 / Math.PI + 0.5);
|
|
int roll = (int)(pose[5] * 180 / Math.PI + 0.5);
|
|
int pitch = (int)(pose[3] * 180 / Math.PI + 0.5);
|
|
|
|
YawLabel.Content = yaw + "°";
|
|
RollLabel.Content = roll + "°";
|
|
PitchLabel.Content = pitch + "°";
|
|
|
|
XPoseLabel.Content = (int)pose[0] + " mm";
|
|
YPoseLabel.Content = (int)pose[1] + " mm";
|
|
ZPoseLabel.Content = (int)pose[2] + " mm";
|
|
|
|
nonRigidGraph.Update(non_rigid_params);
|
|
|
|
// Update eye gaze
|
|
String x_angle = String.Format("{0:F0}°", gaze_angle.Item1 * (180.0 / Math.PI));
|
|
String y_angle = String.Format("{0:F0}°", gaze_angle.Item2 * (180.0 / Math.PI));
|
|
GazeXLabel.Content = x_angle;
|
|
GazeYLabel.Content = y_angle;
|
|
}
|
|
|
|
if (ShowTrackedVideo)
|
|
{
|
|
if (latest_img == null)
|
|
{
|
|
latest_img = frame.CreateWriteableBitmap();
|
|
}
|
|
|
|
frame.UpdateWriteableBitmap(latest_img);
|
|
|
|
video.Source = latest_img;
|
|
video.Confidence = confidence;
|
|
video.FPS = processing_fps.GetFPS();
|
|
video.Progress = progress;
|
|
video.FaceScale = scale;
|
|
|
|
if (!detectionSucceeding)
|
|
{
|
|
video.OverlayLines.Clear();
|
|
video.OverlayPoints.Clear();
|
|
video.OverlayEyePoints.Clear();
|
|
video.GazeLines.Clear();
|
|
}
|
|
else
|
|
{
|
|
video.OverlayLines = lines;
|
|
|
|
List<Point> landmark_points = new List<Point>();
|
|
foreach (var p in landmarks)
|
|
{
|
|
landmark_points.Add(new Point(p.Item1, p.Item2));
|
|
}
|
|
|
|
List<Point> eye_landmark_points = new List<Point>();
|
|
foreach (var p in eye_landmarks)
|
|
{
|
|
eye_landmark_points.Add(new Point(p.Item1, p.Item2));
|
|
}
|
|
|
|
|
|
video.OverlayPoints = landmark_points;
|
|
video.OverlayEyePoints = eye_landmark_points;
|
|
video.GazeLines = gaze_lines;
|
|
}
|
|
}
|
|
|
|
if (ShowAppearance)
|
|
{
|
|
RawImage aligned_face = face_analyser.GetLatestAlignedFace();
|
|
RawImage hog_face = face_analyser.GetLatestHOGDescriptorVisualisation();
|
|
|
|
if (latest_aligned_face == null)
|
|
{
|
|
latest_aligned_face = aligned_face.CreateWriteableBitmap();
|
|
latest_HOG_descriptor = hog_face.CreateWriteableBitmap();
|
|
}
|
|
|
|
aligned_face.UpdateWriteableBitmap(latest_aligned_face);
|
|
hog_face.UpdateWriteableBitmap(latest_HOG_descriptor);
|
|
|
|
AlignedFace.Source = latest_aligned_face;
|
|
AlignedHOG.Source = latest_HOG_descriptor;
|
|
}
|
|
}));
|
|
|
|
|
|
}
|
|
|
|
private void StopTracking()
|
|
{
|
|
// First complete the running of the thread
|
|
if (processing_thread != null)
|
|
{
|
|
// Tell the other thread to finish
|
|
thread_running = false;
|
|
processing_thread.Join();
|
|
}
|
|
}
|
|
|
|
|
|
|
|
// ----------------------------------------------------------
|
|
// Interacting with landmark detection and face analysis
|
|
|
|
private bool ProcessFrame(CLNF clnf_model, FaceModelParameters clnf_params, RawImage frame, RawImage grayscale_frame, double fx, double fy, double cx, double cy)
|
|
{
|
|
detectionSucceeding = clnf_model.DetectLandmarksInVideo(grayscale_frame, clnf_params);
|
|
return detectionSucceeding;
|
|
|
|
}
|
|
|
|
private List<List<Tuple<double, double>>> ProcessImage(CLNF clnf_model, FaceModelParameters clnf_params, RawImage frame, RawImage grayscale_frame)
|
|
{
|
|
List<List<Tuple<double, double>>> landmark_detections = clnf_model.DetectMultiFaceLandmarksInImage(grayscale_frame, clnf_params);
|
|
return landmark_detections;
|
|
|
|
}
|
|
|
|
|
|
// ----------------------------------------------------------
|
|
// Mode handling (image, video)
|
|
// ----------------------------------------------------------
|
|
|
|
// Disable GUI components that should not be active during processing
|
|
private void SetupFeatureExtractionMode()
|
|
{
|
|
Dispatcher.Invoke((Action)(() =>
|
|
{
|
|
SettingsMenu.IsEnabled = false;
|
|
RecordingMenu.IsEnabled = false;
|
|
AUSetting.IsEnabled = false;
|
|
|
|
PauseButton.IsEnabled = true;
|
|
StopButton.IsEnabled = true;
|
|
NextFiveFramesButton.IsEnabled = false;
|
|
NextFrameButton.IsEnabled = false;
|
|
}));
|
|
}
|
|
|
|
// When the processing is done re-enable the components
|
|
private void EndMode()
|
|
{
|
|
Dispatcher.Invoke(DispatcherPriority.Render, new TimeSpan(0, 0, 0, 1, 0), (Action)(() =>
|
|
{
|
|
|
|
SettingsMenu.IsEnabled = true;
|
|
RecordingMenu.IsEnabled = true;
|
|
AUSetting.IsEnabled = true;
|
|
|
|
PauseButton.IsEnabled = false;
|
|
StopButton.IsEnabled = false;
|
|
NextFiveFramesButton.IsEnabled = false;
|
|
NextFrameButton.IsEnabled = false;
|
|
|
|
// Clean up the interface itself
|
|
video.Source = null;
|
|
|
|
auClassGraph.Update(new Dictionary<string, double>());
|
|
auRegGraph.Update(new Dictionary<string, double>());
|
|
YawLabel.Content = "0°";
|
|
RollLabel.Content = "0°";
|
|
PitchLabel.Content = "0°";
|
|
|
|
XPoseLabel.Content = "0 mm";
|
|
YPoseLabel.Content = "0 mm";
|
|
ZPoseLabel.Content = "0 mm";
|
|
|
|
nonRigidGraph.Update(new List<double>());
|
|
|
|
GazeXLabel.Content = "0°";
|
|
GazeYLabel.Content = "0°";
|
|
|
|
AlignedFace.Source = null;
|
|
AlignedHOG.Source = null;
|
|
|
|
}));
|
|
}
|
|
|
|
// ----------------------------------------------------------
|
|
// Opening Videos/Images
|
|
// ----------------------------------------------------------
|
|
|
|
private void videoFileOpenClick(object sender, RoutedEventArgs e)
|
|
{
|
|
new Thread(() => openVideoFile()).Start();
|
|
}
|
|
|
|
private void openVideoFile()
|
|
{
|
|
StopTracking();
|
|
|
|
Dispatcher.Invoke(DispatcherPriority.Render, new TimeSpan(0, 0, 0, 2, 0), (Action)(() =>
|
|
{
|
|
var d = new OpenFileDialog();
|
|
d.Multiselect = true;
|
|
d.Filter = "Video files|*.avi;*.wmv;*.mov;*.mpg;*.mpeg;*.mp4";
|
|
|
|
if (d.ShowDialog(this) == true)
|
|
{
|
|
|
|
string[] video_files = d.FileNames;
|
|
|
|
processing_thread = new Thread(() => ProcessingLoop(video_files));
|
|
processing_thread.Start();
|
|
|
|
}
|
|
}));
|
|
}
|
|
|
|
|
|
private void imageFileOpenClick(object sender, RoutedEventArgs e)
|
|
{
|
|
new Thread(() => imageOpen()).Start();
|
|
}
|
|
|
|
private void imageOpen()
|
|
{
|
|
StopTracking();
|
|
|
|
Dispatcher.Invoke(DispatcherPriority.Render, new TimeSpan(0, 0, 0, 2, 0), (Action)(() =>
|
|
{
|
|
var d = new OpenFileDialog();
|
|
d.Multiselect = true;
|
|
d.Filter = "Image files|*.jpg;*.jpeg;*.bmp;*.png;*.gif";
|
|
|
|
if (d.ShowDialog(this) == true)
|
|
{
|
|
|
|
string[] image_files = d.FileNames;
|
|
|
|
processing_thread = new Thread(() => ProcessingLoop(image_files, -3));
|
|
processing_thread.Start();
|
|
|
|
}
|
|
}));
|
|
}
|
|
|
|
private void imageSequenceFileOpenClick(object sender, RoutedEventArgs e)
|
|
{
|
|
new Thread(() => imageSequenceOpen()).Start();
|
|
}
|
|
|
|
private void imageSequenceOpen()
|
|
{
|
|
StopTracking();
|
|
|
|
Dispatcher.Invoke(DispatcherPriority.Render, new TimeSpan(0, 0, 0, 2, 0), (Action)(() =>
|
|
{
|
|
var d = new OpenFileDialog();
|
|
d.Multiselect = true;
|
|
d.Filter = "Image files|*.jpg;*.jpeg;*.bmp;*.png;*.gif";
|
|
|
|
if (d.ShowDialog(this) == true)
|
|
{
|
|
|
|
string[] image_files = d.FileNames;
|
|
|
|
processing_thread = new Thread(() => ProcessingLoop(image_files, -2));
|
|
processing_thread.Start();
|
|
|
|
}
|
|
}));
|
|
}
|
|
|
|
// --------------------------------------------------------
|
|
// Button handling
|
|
// --------------------------------------------------------
|
|
|
|
// Cleanup stuff when closing the window
|
|
private void Window_Closing(object sender, System.ComponentModel.CancelEventArgs e)
|
|
{
|
|
if (processing_thread != null)
|
|
{
|
|
// Stop capture and tracking
|
|
thread_running = false;
|
|
processing_thread.Join();
|
|
|
|
capture.Dispose();
|
|
}
|
|
face_analyser.Dispose();
|
|
}
|
|
|
|
// Stopping the tracking
|
|
private void StopButton_Click(object sender, RoutedEventArgs e)
|
|
{
|
|
if (processing_thread != null)
|
|
{
|
|
// Stop capture and tracking
|
|
thread_paused = false;
|
|
thread_running = false;
|
|
// Let the processing thread finish
|
|
processing_thread.Join();
|
|
|
|
// Clean up the interface
|
|
EndMode();
|
|
}
|
|
}
|
|
|
|
private void PauseButton_Click(object sender, RoutedEventArgs e)
|
|
{
|
|
if (processing_thread != null)
|
|
{
|
|
// Stop capture and tracking
|
|
thread_paused = !thread_paused;
|
|
|
|
NextFrameButton.IsEnabled = thread_paused;
|
|
NextFiveFramesButton.IsEnabled = thread_paused;
|
|
|
|
if (thread_paused)
|
|
{
|
|
PauseButton.Content = "Resume";
|
|
}
|
|
else
|
|
{
|
|
PauseButton.Content = "Pause";
|
|
}
|
|
}
|
|
}
|
|
|
|
private void SkipButton_Click(object sender, RoutedEventArgs e)
|
|
{
|
|
if (sender.Equals(NextFrameButton))
|
|
{
|
|
skip_frames += 1;
|
|
}
|
|
else if (sender.Equals(NextFiveFramesButton))
|
|
{
|
|
skip_frames += 5;
|
|
}
|
|
}
|
|
|
|
|
|
private void VisualisationChange(object sender, RoutedEventArgs e)
|
|
{
|
|
// Collapsing or restoring the windows here
|
|
if (!ShowTrackedVideo)
|
|
{
|
|
VideoBorder.Visibility = System.Windows.Visibility.Collapsed;
|
|
MainGrid.ColumnDefinitions[0].Width = new GridLength(0, GridUnitType.Star);
|
|
}
|
|
else
|
|
{
|
|
VideoBorder.Visibility = System.Windows.Visibility.Visible;
|
|
MainGrid.ColumnDefinitions[0].Width = new GridLength(2.1, GridUnitType.Star);
|
|
}
|
|
|
|
if (!ShowAppearance)
|
|
{
|
|
AppearanceBorder.Visibility = System.Windows.Visibility.Collapsed;
|
|
MainGrid.ColumnDefinitions[1].Width = new GridLength(0, GridUnitType.Star);
|
|
}
|
|
else
|
|
{
|
|
AppearanceBorder.Visibility = System.Windows.Visibility.Visible;
|
|
MainGrid.ColumnDefinitions[1].Width = new GridLength(0.8, GridUnitType.Star);
|
|
}
|
|
|
|
// Collapsing or restoring the windows here
|
|
if (!ShowGeometry)
|
|
{
|
|
GeometryBorder.Visibility = System.Windows.Visibility.Collapsed;
|
|
MainGrid.ColumnDefinitions[2].Width = new GridLength(0, GridUnitType.Star);
|
|
}
|
|
else
|
|
{
|
|
GeometryBorder.Visibility = System.Windows.Visibility.Visible;
|
|
MainGrid.ColumnDefinitions[2].Width = new GridLength(1.0, GridUnitType.Star);
|
|
}
|
|
|
|
// Collapsing or restoring the windows here
|
|
if (!ShowAUs)
|
|
{
|
|
ActionUnitBorder.Visibility = System.Windows.Visibility.Collapsed;
|
|
MainGrid.ColumnDefinitions[3].Width = new GridLength(0, GridUnitType.Star);
|
|
}
|
|
else
|
|
{
|
|
ActionUnitBorder.Visibility = System.Windows.Visibility.Visible;
|
|
MainGrid.ColumnDefinitions[3].Width = new GridLength(1.6, GridUnitType.Star);
|
|
}
|
|
|
|
}
|
|
|
|
private void UseDynamicModelsCheckBox_Click(object sender, RoutedEventArgs e)
|
|
{
|
|
// Change the face analyser, this should be safe as the model is only allowed to change when not running
|
|
String root = AppDomain.CurrentDomain.BaseDirectory;
|
|
face_analyser = new FaceAnalyserManaged(root, DynamicAUModels, image_output_size);
|
|
}
|
|
|
|
private void setOutputImageSize_Click(object sender, RoutedEventArgs e)
|
|
{
|
|
|
|
NumberEntryWindow number_entry_window = new NumberEntryWindow(image_output_size);
|
|
number_entry_window.Icon = this.Icon;
|
|
|
|
number_entry_window.WindowStartupLocation = WindowStartupLocation.CenterScreen;
|
|
|
|
if (number_entry_window.ShowDialog() == true)
|
|
{
|
|
image_output_size = number_entry_window.OutputInt;
|
|
String root = AppDomain.CurrentDomain.BaseDirectory;
|
|
face_analyser = new FaceAnalyserManaged(root, DynamicAUModels, image_output_size);
|
|
|
|
}
|
|
}
|
|
|
|
private void setCameraParameters_Click(object sender, RoutedEventArgs e)
|
|
{
|
|
CameraParametersEntry camera_params_entry_window = new CameraParametersEntry(fx, fy, cx, cy);
|
|
camera_params_entry_window.Icon = this.Icon;
|
|
|
|
camera_params_entry_window.WindowStartupLocation = WindowStartupLocation.CenterScreen;
|
|
|
|
if (camera_params_entry_window.ShowDialog() == true)
|
|
{
|
|
fx = camera_params_entry_window.Fx;
|
|
fy = camera_params_entry_window.Fy;
|
|
cx = camera_params_entry_window.Cx;
|
|
cy = camera_params_entry_window.Cy;
|
|
if(fx == -1 || fy == -1 || cx == -1 || cy == -1)
|
|
{
|
|
estimate_camera_parameters = true;
|
|
}
|
|
else
|
|
{
|
|
estimate_camera_parameters = false;
|
|
}
|
|
}
|
|
}
|
|
|
|
private void OutputLocationItem_Click(object sender, RoutedEventArgs e)
|
|
{
|
|
var dlg = new CommonOpenFileDialog();
|
|
dlg.Title = "Select output directory";
|
|
dlg.IsFolderPicker = true;
|
|
dlg.AllowNonFileSystemItems = false;
|
|
dlg.EnsureFileExists = true;
|
|
dlg.EnsurePathExists = true;
|
|
dlg.EnsureReadOnly = false;
|
|
dlg.EnsureValidNames = true;
|
|
dlg.Multiselect = false;
|
|
dlg.ShowPlacesList = true;
|
|
|
|
if (dlg.ShowDialog() == CommonFileDialogResult.Ok)
|
|
{
|
|
var folder = dlg.FileName;
|
|
record_root = folder;
|
|
}
|
|
}
|
|
|
|
}
|
|
}
|