Incorporating the threads

This commit is contained in:
Tadas Baltrusaitis 2016-10-05 10:53:58 -04:00
parent f179a67894
commit 0107a56d48
2 changed files with 355 additions and 7 deletions

View file

@ -38,5 +38,16 @@
<local:AxesBorder MinHeight="180" Grid.Row="4" Grid.Column="1" Padding="60 20 30 40" RangeLabel="Eye gaze" Orientation="Horizontal" MinVal="-1" MaxVal="1" NumVertGrid="5"> <local:AxesBorder MinHeight="180" Grid.Row="4" Grid.Column="1" Padding="60 20 30 40" RangeLabel="Eye gaze" Orientation="Horizontal" MinVal="-1" MaxVal="1" NumVertGrid="5">
<local:TimeSeriesPlot x:Name="gazePlot" Orientation="Horizontal" ShowLegend="True"/> <local:TimeSeriesPlot x:Name="gazePlot" Orientation="Horizontal" ShowLegend="True"/>
</local:AxesBorder> </local:AxesBorder>
<local:AxesBorder Grid.Column="2" Grid.Row="1" MinHeight="130" ShowXLabel="False" Padding="60 20 30 10" XTicks="False" RangeLabel="Lips" Orientation="Horizontal" MinVal="0" MaxVal="1" NumVertGrid="5">
<local:TimeSeriesPlot x:Name="smilePlot" Orientation="Horizontal" ShowLegend="True"/>
</local:AxesBorder>
<local:AxesBorder Grid.Column="2" Grid.Row="2" MinHeight="130" ShowXLabel="False" Padding="60 20 30 10" XTicks="False" RangeLabel="Brows" Orientation="Horizontal" MinVal="0" MaxVal="1" NumVertGrid="5">
<local:TimeSeriesPlot x:Name="browPlot" Orientation="Horizontal" ShowLegend="True"/>
</local:AxesBorder>
<local:AxesBorder Grid.Column="2" Grid.Row="3" MinHeight="130" ShowXLabel="False" Padding="60 20 30 10" XTicks="False" RangeLabel="Other" Orientation="Horizontal" MinVal="0" MaxVal="1" NumVertGrid="5">
<local:TimeSeriesPlot x:Name="eyePlot" Orientation="Horizontal" ShowLegend="True"/>
</local:AxesBorder>
</Grid> </Grid>
</Window> </Window>

View file

@ -22,6 +22,7 @@ using CppInterop.LandmarkDetector;
using CameraInterop; using CameraInterop;
using FaceAnalyser_Interop; using FaceAnalyser_Interop;
using System.Windows.Threading; using System.Windows.Threading;
using System.Diagnostics;
namespace OpenFaceDemo namespace OpenFaceDemo
{ {
@ -30,24 +31,108 @@ namespace OpenFaceDemo
/// </summary> /// </summary>
public partial class MainWindow : Window public partial class MainWindow : Window
{ {
// ----------------------------------------------------------------- // -----------------------------------------------------------------
// Members // Members
// ----------------------------------------------------------------- // -----------------------------------------------------------------
// 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
Thread processing_thread; Thread processing_thread;
// Some members for displaying the results // Some members for displaying the results
private Capture capture; private Capture capture;
private WriteableBitmap latest_img;
private volatile bool thread_running; private volatile bool thread_running;
FpsTracker processing_fps = new FpsTracker();
volatile bool detectionSucceeding = false;
volatile bool reset = false;
// For selecting webcams // For selecting webcams
CameraSelection cam_sec; CameraSelection cam_sec;
// For tracking
FaceModelParameters clnf_params;
CLNF clnf_model;
FaceAnalyserManaged face_analyser;
public MainWindow() public MainWindow()
{ {
InitializeComponent(); InitializeComponent();
// Set the icon
Uri iconUri = new Uri("logo1.ico", UriKind.RelativeOrAbsolute);
this.Icon = BitmapFrame.Create(iconUri);
String root = AppDomain.CurrentDomain.BaseDirectory;
clnf_params = new FaceModelParameters(root);
clnf_model = new CLNF(clnf_params);
face_analyser = new FaceAnalyserManaged(root, true);
Dispatcher.Invoke(DispatcherPriority.Render, new TimeSpan(0, 0, 0, 0, 200), (Action)(() =>
{
headPosePlot.AssocColor(0, Colors.Blue);
headPosePlot.AssocColor(1, Colors.Red);
headPosePlot.AssocColor(2, Colors.Green);
headPosePlot.AssocName(1, "Turn");
headPosePlot.AssocName(2, "Tilt");
headPosePlot.AssocName(0, "Up/Down");
headPosePlot.AssocThickness(0, 2);
headPosePlot.AssocThickness(1, 2);
headPosePlot.AssocThickness(2, 2);
gazePlot.AssocColor(0, Colors.Red);
gazePlot.AssocColor(1, Colors.Blue);
gazePlot.AssocName(0, "Left-right");
gazePlot.AssocName(1, "Up-down");
gazePlot.AssocThickness(0, 2);
gazePlot.AssocThickness(1, 2);
smilePlot.AssocColor(0, Colors.Green);
smilePlot.AssocColor(1, Colors.Red);
smilePlot.AssocName(0, "Smile");
smilePlot.AssocName(1, "Frown");
smilePlot.AssocThickness(0, 2);
smilePlot.AssocThickness(1, 2);
browPlot.AssocColor(0, Colors.Green);
browPlot.AssocColor(1, Colors.Red);
browPlot.AssocName(0, "Raise");
browPlot.AssocName(1, "Furrow");
browPlot.AssocThickness(0, 2);
browPlot.AssocThickness(1, 2);
eyePlot.AssocColor(0, Colors.Green);
eyePlot.AssocColor(1, Colors.Red);
eyePlot.AssocName(0, "Eye widen");
eyePlot.AssocName(1, "Nose wrinkle");
eyePlot.AssocThickness(0, 2);
eyePlot.AssocThickness(1, 2);
}));
} }
@ -62,6 +147,259 @@ namespace OpenFaceDemo
} }
} }
// The main function call for processing images, video files or webcam feed
private void ProcessingLoop(int cam_id = -1, int width = -1, int height = -1, bool multi_face = false)
{
thread_running = true;
// Create the video capture from a webcam and call the VideoLoop
capture = new Capture(cam_id, width, height);
if (capture.isOpened())
{
// Start the actual processing
VideoLoop();
}
else
{
string messageBoxText = "Failed to open a webcam";
string caption = "Webcam failure";
MessageBoxButton button = MessageBoxButton.OK;
MessageBoxImage icon = MessageBoxImage.Warning;
// Display message box
MessageBox.Show(messageBoxText, caption, button, icon);
}
}
// Capturing and processing the video frame by frame
private void VideoLoop()
{
Thread.CurrentThread.IsBackground = true;
DateTime? startTime = CurrentTime;
var lastFrameTime = CurrentTime;
clnf_model.Reset();
face_analyser.Reset();
double fx, fy, cx, cy;
fx = 500.0;
fy = 500.0;
cx = cy = -1;
int frame_id = 0;
double old_gaze_x = 0;
double old_gaze_y = 0;
double smile_cumm = 0;
double frown_cumm = 0;
double brow_up_cumm = 0;
double brow_down_cumm = 0;
double widen_cumm = 0;
double wrinkle_cumm = 0;
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(true));
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;
}
// This is more ore less guess work, but seems to work well enough
if (cx == -1)
{
fx = fx * (grayFrame.Width / 640.0);
fy = fy * (grayFrame.Height / 480.0);
fx = (fx + fy) / 2.0;
fy = fx;
cx = grayFrame.Width / 2f;
cy = grayFrame.Height / 2f;
}
bool detectionSucceeding = ProcessFrame(clnf_model, clnf_params, frame, grayFrame, fx, fy, cx, cy);
double confidence = (-clnf_model.GetConfidence()) / 2.0 + 0.5;
if (confidence < 0)
confidence = 0;
else if (confidence > 1)
confidence = 1;
List<double> pose = new List<double>();
clnf_model.GetCorrectedPoseCamera(pose, fx, fy, cx, cy);
List<double> non_rigid_params = clnf_model.GetNonRigidParams();
double time_stamp = (DateTime.Now - (DateTime)startTime).TotalMilliseconds;
// The face analysis step (only done if recording AUs, HOGs or video)
face_analyser.AddNextFrame(frame, clnf_model, fx, fy, cx, cy, true, false, false);
List<Tuple<Point, Point>> lines = null;
List<Tuple<double, double>> landmarks = null;
List<Tuple<Point, Point>> gaze_lines = null;
var gaze = face_analyser.GetGazeCamera();
double x_gaze = (gaze.Item1.Item1 + gaze.Item2.Item1) / 2.0;
double y_gaze = (gaze.Item1.Item2 + gaze.Item2.Item2) / 2.0;
if (detectionSucceeding)
{
landmarks = clnf_model.CalculateLandmarks();
lines = clnf_model.CalculateBox((float)fx, (float)fy, (float)cx, (float)cy);
gaze_lines = face_analyser.CalculateGazeLines((float)fx, (float)fy, (float)cx, (float)cy);
}
// Visualisation
Dispatcher.Invoke(DispatcherPriority.Render, new TimeSpan(0, 0, 0, 0, 200), (Action)(() =>
{
var au_regs = face_analyser.GetCurrentAUsReg();
double smile = (au_regs["AU12"] + au_regs["AU06"]) / 7.5 + 0.05;
double frown = (au_regs["AU15"] + au_regs["AU17"] + au_regs["AU04"]) / 10.0 + 0.05;
double brow_up = (au_regs["AU01"] + au_regs["AU02"]) / 7.5 + 0.05;
double brow_down = au_regs["AU04"] / 5.0 + 0.05;
double eye_widen = au_regs["AU05"] / 2.5 + 0.05;
double nose_wrinkle = au_regs["AU09"] / 4.0 + 0.05;
Dictionary<int, double> smileDict = new Dictionary<int, double>();
smileDict[0] = 0.5 * smile_cumm + 0.5 * smile;
smileDict[1] = 0.5 * frown_cumm + 0.5 * frown;
smilePlot.AddDataPoint(new DataPoint() { Time = CurrentTime, values = smileDict, Confidence = confidence });
Dictionary<int, double> browDict = new Dictionary<int, double>();
browDict[0] = 0.5 * brow_up_cumm + 0.5 * brow_up;
browDict[1] = 0.5 * brow_down_cumm + 0.5 * brow_down;
browPlot.AddDataPoint(new DataPoint() { Time = CurrentTime, values = browDict, Confidence = confidence });
Dictionary<int, double> eyeDict = new Dictionary<int, double>();
eyeDict[0] = 0.5 * widen_cumm + 0.5 * eye_widen;
eyeDict[1] = 0.5 * wrinkle_cumm + 0.5 * nose_wrinkle;
eyePlot.AddDataPoint(new DataPoint() { Time = CurrentTime, values = eyeDict, Confidence = confidence });
smile_cumm = smileDict[0];
frown_cumm = smileDict[1];
brow_up_cumm = browDict[0];
brow_down_cumm = browDict[1];
widen_cumm = eyeDict[0];
wrinkle_cumm = eyeDict[1];
Dictionary<int, double> poseDict = new Dictionary<int, double>();
poseDict[0] = -pose[3] / 2.0 + 0.5;// (face_analyser.GetRapport() - 1.0) / 6.5;
poseDict[1] = pose[4] / 2.0 + 0.5;// (rapport_fixed - 1.0) / 6.0;
poseDict[2] = pose[5] / 2.0 + 0.5;
headPosePlot.AddDataPoint(new DataPoint() { Time = CurrentTime, values = poseDict, Confidence = confidence });
Dictionary<int, double> gazeDict = new Dictionary<int, double>();
gazeDict[0] = x_gaze * 2.5;
gazeDict[0] = 0.5 * old_gaze_x + 0.5 * gazeDict[0] + 0.5;
gazeDict[1] = -y_gaze * 2.0;
gazeDict[1] = 0.5 * old_gaze_y + 0.5 * gazeDict[1] + 0.5;
//gazeDict[2] = face_analyser.GetEyeAttention();
//Console.WriteLine("{0}, {1}", x_gaze, y_gaze);
gazePlot.AddDataPoint(new DataPoint() { Time = CurrentTime, values = gazeDict, Confidence = confidence });
old_gaze_x = gazeDict[0] - 0.5;
old_gaze_y = gazeDict[1] - 0.5;
//Dictionary<int, double> valenceDict = new Dictionary<int, double>();
//valenceDict[0] = (face_analyser.GetValence() - 1.0) / 6.5;
//valenceDict[1] = face_analyser.GetArousal();
//valencePlot.AddDataPoint(new DataPoint() { Time = CurrentTime, values = valenceDict, Confidence = confidence });
//Dictionary<int, double> avDict = new Dictionary<int, double>();
//avDict[0] = (face_analyser.GetArousal() - 0.5) * 2.0;
//avDict[1] = ((face_analyser.GetValence() - 1.0) / 6.5 - 0.5)*2;
//avPlot.AddDataPoint(new DataPoint() { Time = CurrentTime, values = avDict, Confidence = confidence });
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;
if (!detectionSucceeding)
{
video.OverlayLines.Clear();
video.OverlayPoints.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));
}
video.OverlayPoints = landmark_points;
video.GazeLines = gaze_lines;
}
}));
if (reset)
{
clnf_model.Reset();
face_analyser.Reset();
reset = false;
}
frame_id++;
}
latest_img = null;
}
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;
}
// -------------------------------------------------------- // --------------------------------------------------------
// Button handling // Button handling
// -------------------------------------------------------- // --------------------------------------------------------
@ -105,10 +443,9 @@ namespace OpenFaceDemo
int cam_id = cam_sec.selected_camera.Item1; int cam_id = cam_sec.selected_camera.Item1;
int width = cam_sec.selected_camera.Item2; int width = cam_sec.selected_camera.Item2;
int height = cam_sec.selected_camera.Item3; int height = cam_sec.selected_camera.Item3;
// TODO add processing_thread = new Thread(() => ProcessingLoop(cam_id, width, height));
//processing_thread = new Thread(() => ProcessingLoop(null, cam_id, width, height)); processing_thread.Start();
//processing_thread.Start();
} }
})); }));
@ -127,8 +464,8 @@ namespace OpenFaceDemo
capture.Dispose(); capture.Dispose();
} }
// TODO add
//face_analyser.Dispose(); face_analyser.Dispose();
} }
} }