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Simplification of Recording in WPF through a separate file and data binding (WIP).

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This commit is contained in:
Tadas Baltrusaitis 2016-12-08 16:14:06 -05:00
parent ee48946818
commit 99191fd3c9
10 changed files with 384 additions and 417 deletions
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43
exe/FeatureExtraction/FeatureExtraction.cpp
View file

@ -225,7 +225,7 @@ void visualise_tracking(cv::Mat& captured_image, const LandmarkDetector::CLNF& f
void prepareOutputFile(std::ofstream* output_file, bool output_2D_landmarks, bool output_3D_landmarks, void prepareOutputFile(std::ofstream* output_file, bool output_2D_landmarks, bool output_3D_landmarks,
bool output_model_params, bool output_pose, bool output_AUs, bool output_gaze, bool output_model_params, bool output_pose, bool output_AUs, bool output_gaze,
int num_landmarks, int num_model_modes, vector<string> au_names_class, vector<string> au_names_reg); int num_landmarks, int num_eye_lmks, int num_model_modes, vector<string> au_names_class, vector<string> au_names_reg);
// Output all of the information into one file in one go (quite a few parameters, but simplifies the flow) // Output all of the information into one file in one go (quite a few parameters, but simplifies the flow)
void outputAllFeatures(std::ofstream* output_file, bool output_2D_landmarks, bool output_3D_landmarks, void outputAllFeatures(std::ofstream* output_file, bool output_2D_landmarks, bool output_3D_landmarks,
@ -476,7 +476,8 @@ int main (int argc, char **argv)
if (!output_files.empty()) if (!output_files.empty())
{ {
output_file.open(output_files[f_n], ios_base::out); output_file.open(output_files[f_n], ios_base::out);
prepareOutputFile(&output_file, output_2D_landmarks, output_3D_landmarks, output_model_params, output_pose, output_AUs, output_gaze, face_model.pdm.NumberOfPoints(), face_model.pdm.NumberOfModes(), face_analyser.GetAUClassNames(), face_analyser.GetAURegNames()); prepareOutputFile(&output_file, output_2D_landmarks, output_3D_landmarks, output_model_params, output_pose, output_AUs, output_gaze, face_model.pdm.NumberOfPoints(),
LandmarkDetector::CalculateEyeLandmarks(face_model).size(), face_model.pdm.NumberOfModes(), face_analyser.GetAUClassNames(), face_analyser.GetAURegNames());
} }
// Saving the HOG features // Saving the HOG features
@ -557,6 +558,7 @@ int main (int argc, char **argv)
detection_success = LandmarkDetector::DetectLandmarksInImage(grayscale_image, face_model, det_parameters); detection_success = LandmarkDetector::DetectLandmarksInImage(grayscale_image, face_model, det_parameters);
} }
// Work out the pose of the head from the tracked model // Work out the pose of the head from the tracked model
cv::Vec6d pose_estimate = LandmarkDetector::GetPose(face_model, fx, fy, cx, cy); cv::Vec6d pose_estimate = LandmarkDetector::GetPose(face_model, fx, fy, cx, cy);
@ -842,7 +844,7 @@ void post_process_output_file(FaceAnalysis::FaceAnalyser& face_analyser, string
void prepareOutputFile(std::ofstream* output_file, bool output_2D_landmarks, bool output_3D_landmarks, void prepareOutputFile(std::ofstream* output_file, bool output_2D_landmarks, bool output_3D_landmarks,
bool output_model_params, bool output_pose, bool output_AUs, bool output_gaze, bool output_model_params, bool output_pose, bool output_AUs, bool output_gaze,
int num_landmarks, int num_model_modes, vector<string> au_names_class, vector<string> au_names_reg) int num_landmarks, int num_eye_lmks, int num_model_modes, vector<string> au_names_class, vector<string> au_names_reg)
{ {
*output_file << "frame, timestamp, confidence, success"; *output_file << "frame, timestamp, confidence, success";
@ -850,6 +852,16 @@ void prepareOutputFile(std::ofstream* output_file, bool output_2D_landmarks, boo
if (output_gaze) if (output_gaze)
{ {
*output_file << ", gaze_0_x, gaze_0_y, gaze_0_z, gaze_1_x, gaze_1_y, gaze_1_z, gaze_angle_x, gaze_angle_y"; *output_file << ", gaze_0_x, gaze_0_y, gaze_0_z, gaze_1_x, gaze_1_y, gaze_1_z, gaze_angle_x, gaze_angle_y";
// Also output eye-landmarks as they are needed for gaze visualization etc.
for (int i = 0; i < num_eye_lmks; ++i)
{
*output_file << ", eye_lmk_x_" << i;
}
for (int i = 0; i < num_eye_lmks; ++i)
{
*output_file << ", eye_lmk_y_" << i;
}
} }
if (output_pose) if (output_pose)
@ -938,6 +950,31 @@ void outputAllFeatures(std::ofstream* output_file, bool output_2D_landmarks, boo
*output_file << ", " << gazeDirection0.x << ", " << gazeDirection0.y << ", " << gazeDirection0.z *output_file << ", " << gazeDirection0.x << ", " << gazeDirection0.y << ", " << gazeDirection0.z
<< ", " << gazeDirection1.x << ", " << gazeDirection1.y << ", " << gazeDirection1.z << ", " << gazeDirection1.x << ", " << gazeDirection1.y << ", " << gazeDirection1.z
<< ", " << gaze_angle[0] << ", " << gaze_angle[1]; << ", " << gaze_angle[0] << ", " << gaze_angle[1];
// Output gaze landmarks
vector<cv::Point2d> eye_lmks = LandmarkDetector::CalculateEyeLandmarks(face_model);
for (size_t i = 0; i < eye_lmks.size(); ++i)
{
if (face_model.tracking_initialised)
{
*output_file << ", " << eye_lmks[i].x;
}
else
{
*output_file << ", 0";
}
}
for (size_t i = 0; i < eye_lmks.size(); ++i)
{
if (face_model.tracking_initialised)
{
*output_file << ", " << eye_lmks[i].y;
}
else
{
*output_file << ", 0";
}
}
} }
*output_file << std::setprecision(4); *output_file << std::setprecision(4);

2
gui/OpenFaceDemo/MainWindow.xaml
View file

@ -34,7 +34,7 @@
<local:AxesTimeSeriesPlot NumVertGrid="5" x:Name="headPosePlot" ShowLegend="True" MinVal="-1" MaxVal="1" MinHeight="180" Grid.Row="4" Grid.Column="0" Padding="60 20 30 40" RangeLabel="Head pose" Orientation="Horizontal"> <local:AxesTimeSeriesPlot NumVertGrid="5" x:Name="headPosePlot" ShowLegend="True" MinVal="-1" MaxVal="1" MinHeight="180" Grid.Row="4" Grid.Column="0" Padding="60 20 30 40" RangeLabel="Head pose" Orientation="Horizontal">
</local:AxesTimeSeriesPlot> </local:AxesTimeSeriesPlot>
<local:AxesTimeSeriesPlot MinHeight="180" Grid.Row="4" Grid.Column="1" Padding="60 20 30 40" x:Name="gazePlot" ShowLegend="True" RangeLabel="Eye gaze" Orientation="Horizontal" MinVal="-1" MaxVal="1" NumVertGrid="5"> <local:AxesTimeSeriesPlot MinHeight="180" Grid.Row="4" Grid.Column="1" Padding="60 20 30 40" x:Name="gazePlot" ShowLegend="True" RangeLabel="Eye gaze" Orientation="Horizontal" MinVal="-20" MaxVal="20" NumVertGrid="5">
</local:AxesTimeSeriesPlot> </local:AxesTimeSeriesPlot>
<local:AxesTimeSeriesPlot Grid.Column="2" Grid.Row="1" MinHeight="130" ShowXLabel="False" Padding="60 20 30 10" x:Name="smilePlot" ShowLegend="True" XTicks="False" RangeLabel="Lips" Orientation="Horizontal" MinVal="0" MaxVal="1" NumVertGrid="5"> <local:AxesTimeSeriesPlot Grid.Column="2" Grid.Row="1" MinHeight="130" ShowXLabel="False" Padding="60 20 30 10" x:Name="smilePlot" ShowLegend="True" XTicks="False" RangeLabel="Lips" Orientation="Horizontal" MinVal="0" MaxVal="1" NumVertGrid="5">

14
gui/OpenFaceDemo/MainWindow.xaml.cs
View file

@ -273,15 +273,7 @@ namespace OpenFaceDemo
List<Tuple<double, double>> landmarks = null; List<Tuple<double, double>> landmarks = null;
List<Tuple<double, double>> eye_landmarks = null; List<Tuple<double, double>> eye_landmarks = null;
List<Tuple<Point, Point>> gaze_lines = null; List<Tuple<Point, Point>> gaze_lines = null;
var gaze = face_analyser.GetGazeCamera(); Tuple<double, double> gaze_angle = face_analyser.GetGazeAngle();
// Get the rough gaze angle
double x_gaze = (Math.Atan2(gaze.Item1.Item1, -gaze.Item1.Item3) + Math.Atan2(gaze.Item2.Item1, -gaze.Item2.Item3))/2.0;
double y_gaze = (Math.Atan2(gaze.Item1.Item2, -gaze.Item1.Item3) + Math.Atan2(gaze.Item2.Item2, -gaze.Item2.Item3)) / 2.0;
// Scaling for clearer vis.
x_gaze *= 2.5;
y_gaze *= 2.5;
if (detectionSucceeding) if (detectionSucceeding)
{ {
@ -335,9 +327,9 @@ namespace OpenFaceDemo
headPosePlot.AddDataPoint(new DataPointGraph() { Time = CurrentTime, values = poseDict, Confidence = confidence }); headPosePlot.AddDataPoint(new DataPointGraph() { Time = CurrentTime, values = poseDict, Confidence = confidence });
Dictionary<int, double> gazeDict = new Dictionary<int, double>(); Dictionary<int, double> gazeDict = new Dictionary<int, double>();
gazeDict[0] = x_gaze; gazeDict[0] = gaze_angle.Item1 * (180.0 / Math.PI);
gazeDict[0] = 0.5 * old_gaze_x + 0.5 * gazeDict[0]; gazeDict[0] = 0.5 * old_gaze_x + 0.5 * gazeDict[0];
gazeDict[1] = -y_gaze; gazeDict[1] = -gaze_angle.Item2 * (180.0 / Math.PI);
gazeDict[1] = 0.5 * old_gaze_y + 0.5 * gazeDict[1]; gazeDict[1] = 0.5 * old_gaze_y + 0.5 * gazeDict[1];
gazePlot.AddDataPoint(new DataPointGraph() { Time = CurrentTime, values = gazeDict, Confidence = confidence }); gazePlot.AddDataPoint(new DataPointGraph() { Time = CurrentTime, values = gazeDict, Confidence = confidence });

31
gui/OpenFaceOffline/MainWindow.xaml
View file

@ -30,30 +30,27 @@
</MenuItem> </MenuItem>
</MenuItem> </MenuItem>
<MenuItem Name="RecordingMenu" Header="Record"> <MenuItem Name="RecordingMenu" Header="Record">
<MenuItem Name="RecordAUCheckBox" IsCheckable="True" Header="Record AUs" Click="recordCheckBox_click"></MenuItem> <MenuItem IsCheckable="True" Header="Record AUs" IsChecked="{Binding RecordAUs}"/>
<MenuItem Name="RecordPoseCheckBox" IsCheckable="True" Header="Record pose" Click="recordCheckBox_click"></MenuItem> <MenuItem IsCheckable="True" Header="Record pose" IsChecked="{Binding RecordPose}"/>
<MenuItem Name="RecordLandmarks2DCheckBox" IsCheckable="True" Header="Record 2D landmarks" Click="recordCheckBox_click"></MenuItem> <MenuItem IsCheckable="True" Header="Record 2D landmarks" IsChecked="{Binding Record2DLandmarks}" />
<MenuItem Name="RecordGazeCheckBox" IsCheckable="True" Header="Record gaze" Click="recordCheckBox_click"></MenuItem> <MenuItem IsCheckable="True" Header="Record gaze" IsChecked="{Binding RecordGaze}"/>
<MenuItem Name="RecordLandmarks3DCheckBox" IsCheckable="True" Header="Record 3D landmarks" Click="recordCheckBox_click"></MenuItem> <MenuItem IsCheckable="True" Header="Record 3D landmarks" IsChecked="{Binding Record3DLandmarks}"/>
<MenuItem Name="RecordHOGCheckBox" IsCheckable="True" Header="Record HOG" Click="recordCheckBox_click"></MenuItem> <MenuItem IsCheckable="True" Header="Record HOG" IsChecked="{Binding RecordHOG}"/>
<MenuItem Name="RecordParamsCheckBox" IsCheckable="True" Header="Record model parameters" Click="recordCheckBox_click"></MenuItem> <MenuItem IsCheckable="True" Header="Record model parameters" IsChecked="{Binding RecordModelParameters}" />
<MenuItem Name="RecordAlignedCheckBox" IsCheckable="True" Header="Record aligned faces" Click="recordCheckBox_click"></MenuItem> <MenuItem IsCheckable="True" Header="Record aligned faces" IsChecked="{Binding RecordAligned}"/>
<MenuItem Name="RecordTrackedVidCheckBox" IsCheckable="True" Header="Record tracked video" Click="recordCheckBox_click"></MenuItem>
</MenuItem> </MenuItem>
<MenuItem Name="SettingsMenu" Header="Recording settings"> <MenuItem Name="SettingsMenu" Header="Recording settings">
<MenuItem Name="OutputLocationItem" Header="Set output location..." Click="OutputLocationItem_Click" ></MenuItem> <MenuItem Name="OutputLocationItem" Header="Set output location..." Click="OutputLocationItem_Click" ></MenuItem>
<MenuItem Header="Set output image size..." Click="setOutputImageSize_Click"></MenuItem> <MenuItem Header="Set output image size..." Click="setOutputImageSize_Click"></MenuItem>
</MenuItem> </MenuItem>
<MenuItem Header="AU settings"> <MenuItem Name="AUSetting" Header="AU settings">
<MenuItem Name="UseDynamicModelsCheckBox" IsChecked="True" IsCheckable="True" Header="Use dynamic models" Click="UseDynamicModelsCheckBox_Click"></MenuItem> <MenuItem IsCheckable="True" Header="Use dynamic models" Click="UseDynamicModelsCheckBox_Click" IsChecked="{Binding DynamicAUModels}"/>
<MenuItem Name="UseDynamicShiftingCheckBox" IsCheckable="True" Header="Use dynamic shifting" Click="UseDynamicModelsCheckBox_Click"></MenuItem>
<MenuItem Name="UseDynamicScalingCheckBox" IsCheckable="True" Header="Use dynamic scaling" Click="UseDynamicModelsCheckBox_Click"></MenuItem>
</MenuItem> </MenuItem>
<MenuItem Header="View"> <MenuItem Header="View">
<MenuItem Name="ShowVideoCheckBox" IsChecked="True" IsCheckable="True" Header="Show Video" Click="VisualisationCheckBox_Click"></MenuItem> <MenuItem IsCheckable="True" Header="Show Video" Click="VisualisationChange" IsChecked="{Binding ShowVideo}"/>
<MenuItem Name="ShowAppearanceFeaturesCheckBox" IsChecked="True" IsCheckable="True" Header="Show Appearance" Click="VisualisationCheckBox_Click"></MenuItem> <MenuItem IsCheckable="True" Header="Show Appearance" Click="VisualisationChange" IsChecked="{Binding ShowAppearance}"/>
<MenuItem Name="ShowGeometryFeaturesCheckBox" IsChecked="True" IsCheckable="True" Header="Show Geometry" Click="VisualisationCheckBox_Click"></MenuItem> <MenuItem IsCheckable="True" Header="Show Geometry" Click="VisualisationChange" IsChecked="{Binding ShowGeometry}"/>
<MenuItem Name="ShowAUsCheckBox" IsChecked="True" IsCheckable="True" Header="Show AUs" Click="VisualisationCheckBox_Click"></MenuItem> <MenuItem IsCheckable="True" Header="Show AUs" Click="VisualisationChange" IsChecked="{Binding ShowAUs}"/>
</MenuItem> </MenuItem>
</Menu> </Menu>

439
gui/OpenFaceOffline/MainWindow.xaml.cs
View file

@ -131,23 +131,22 @@ namespace OpenFaceOffline
FaceAnalyserManaged face_analyser; FaceAnalyserManaged face_analyser;
// Recording parameters (default values) // Recording parameters (default values)
bool record_HOG = false; // HOG features extracted from face images Recorder recorder;
bool record_aligned = false; // aligned face images
bool record_tracked_vid = false;
// Check wich things need to be recorded public bool RecordAligned { get; set; } // Aligned face images
bool record_2D_landmarks = true; public bool RecordHOG { get; set; } // HOG features extracted from face images
bool record_3D_landmarks = false; public bool Record2DLandmarks { get; set; } // 2D locations of facial landmarks (in pixels)
bool record_model_params = true; public bool Record3DLandmarks { get; set; } // 3D locations of facial landmarks (in pixels)
bool record_pose = true; public bool RecordModelParameters { get; set; } // Facial shape parameters (rigid and non-rigid geometry)
bool record_AUs = true; public bool RecordPose { get; set; } // Head pose (position and orientation)
bool record_gaze = true; public bool RecordAUs { get; set; } // Facial action units
public bool RecordGaze { get; set; } // Eye gaze
// Visualisation options // Visualisation options
bool show_tracked_video = true; public bool ShowTrackedVideo { get; set; } // Eye gaze
bool show_appearance = true; public bool ShowAppearance { get; set; } // Eye gaze
bool show_geometry = true; public bool ShowGeometry { get; set; } // Eye gaze
bool show_aus = true; public bool ShowAUs { get; set; } // Eye gaze
int image_output_size = 112; int image_output_size = 112;
@ -155,51 +154,38 @@ namespace OpenFaceOffline
// TODO indication that track is done // TODO indication that track is done
// The recording managers, TODO they should be all one
StreamWriter output_features_file;
// Where the recording is done (by default in a record directory, from where the application executed), TODO maybe the same folder as iput? // Where the recording is done (by default in a record directory, from where the application executed), TODO maybe the same folder as iput?
String record_root = "./record"; String record_root = "./record";
// For AU visualisation and output
List<String> au_class_names;
List<String> au_reg_names;
// For AU prediction // For AU prediction
bool dynamic_AU_shift = true; public bool DynamicAUModels { get; set; }
bool dynamic_AU_scale = false;
bool use_dynamic_models = true;
public MainWindow() public MainWindow()
{ {
InitializeComponent(); InitializeComponent();
this.DataContext = this; // For WPF data binding
// Set the icon // Set the icon
Uri iconUri = new Uri("logo1.ico", UriKind.RelativeOrAbsolute); Uri iconUri = new Uri("logo1.ico", UriKind.RelativeOrAbsolute);
this.Icon = BitmapFrame.Create(iconUri); this.Icon = BitmapFrame.Create(iconUri);
Dispatcher.Invoke(DispatcherPriority.Render, new TimeSpan(0, 0, 0, 0, 2000), (Action)(() => // Setup the default features that will be recorded
{ Record2DLandmarks = true; Record3DLandmarks = true; RecordModelParameters = true; RecordModelParameters = true;
RecordAUCheckBox.IsChecked = record_AUs; RecordGaze = true; RecordAUs = true; RecordPose = true;
RecordAlignedCheckBox.IsChecked = record_aligned; RecordAligned = false; RecordHOG = false;
RecordTrackedVidCheckBox.IsChecked = record_tracked_vid;
RecordHOGCheckBox.IsChecked = record_HOG;
RecordGazeCheckBox.IsChecked = record_gaze;
RecordLandmarks2DCheckBox.IsChecked = record_2D_landmarks;
RecordLandmarks3DCheckBox.IsChecked = record_3D_landmarks;
RecordParamsCheckBox.IsChecked = record_model_params;
RecordPoseCheckBox.IsChecked = record_pose;
UseDynamicModelsCheckBox.IsChecked = use_dynamic_models; ShowTrackedVideo = true;
UseDynamicScalingCheckBox.IsChecked = dynamic_AU_scale; ShowAppearance = true;
UseDynamicShiftingCheckBox.IsChecked = dynamic_AU_shift; ShowGeometry = true;
})); ShowAUs = true;
DynamicAUModels = true;
String root = AppDomain.CurrentDomain.BaseDirectory; String root = AppDomain.CurrentDomain.BaseDirectory;
clnf_params = new FaceModelParameters(root, false); clnf_params = new FaceModelParameters(root, false);
clnf_model = new CLNF(clnf_params); clnf_model = new CLNF(clnf_params);
face_analyser = new FaceAnalyserManaged(root, use_dynamic_models, image_output_size); face_analyser = new FaceAnalyserManaged(root, DynamicAUModels, image_output_size);
} }
@ -212,11 +198,13 @@ namespace OpenFaceOffline
thread_running = true; thread_running = true;
// Grab the boolean values of the check-boxes
Dispatcher.Invoke(DispatcherPriority.Render, new TimeSpan(0, 0, 0, 0, 200), (Action)(() => Dispatcher.Invoke(DispatcherPriority.Render, new TimeSpan(0, 0, 0, 0, 200), (Action)(() =>
{ {
ResetButton.IsEnabled = true; ResetButton.IsEnabled = true;
PauseButton.IsEnabled = true; PauseButton.IsEnabled = true;
StopButton.IsEnabled = true; StopButton.IsEnabled = true;
})); }));
// Create the video capture and call the VideoLoop // Create the video capture and call the VideoLoop
@ -234,18 +222,13 @@ namespace OpenFaceOffline
if (capture.isOpened()) if (capture.isOpened())
{ {
// Prepare recording if any based on the directory // Prepare recording if any based on the directory, TODO move this
String file_no_ext = System.IO.Path.GetDirectoryName(filenames[0]); String file_no_ext = System.IO.Path.GetDirectoryName(filenames[0]);
file_no_ext = System.IO.Path.GetFileName(file_no_ext); file_no_ext = System.IO.Path.GetFileName(file_no_ext);
SetupRecording(record_root, file_no_ext, capture.width, capture.height, record_2D_landmarks, record_2D_landmarks, record_model_params, record_pose, record_AUs, record_gaze);
// Start the actual processing // Start the actual processing
VideoLoop(); VideoLoop();
// Clear up the recording
StopRecording();
} }
else else
{ {
@ -305,16 +288,12 @@ namespace OpenFaceOffline
if (capture.isOpened()) if (capture.isOpened())
{ {
// Prepare recording if any // Prepare recording if any TODO move this
String file_no_ext = System.IO.Path.GetFileNameWithoutExtension(filename); String file_no_ext = System.IO.Path.GetFileNameWithoutExtension(filename);
SetupRecording(record_root, file_no_ext, capture.width, capture.height, record_2D_landmarks, record_3D_landmarks, record_model_params, record_pose, record_AUs, record_gaze);
// Start the actual processing // Start the actual processing
VideoLoop(); VideoLoop();
// Clear up the recording
StopRecording();
} }
else else
{ {
@ -391,9 +370,9 @@ namespace OpenFaceOffline
} }
// Visualisation // Visualisation
Dispatcher.Invoke(DispatcherPriority.Render, new TimeSpan(0, 0, 0, 0, 200), (Action)(() => if (ShowTrackedVideo)
{ {
if (show_tracked_video) Dispatcher.Invoke(DispatcherPriority.Render, new TimeSpan(0, 0, 0, 0, 200), (Action)(() =>
{ {
if (latest_img == null) if (latest_img == null)
{ {
@ -410,10 +389,9 @@ namespace OpenFaceOffline
video.OverlayLines = new List<Tuple<Point, Point>>(); video.OverlayLines = new List<Tuple<Point, Point>>();
video.OverlayPoints = landmark_points; video.OverlayPoints = landmark_points;
}
})); }));
}
latest_img = null; latest_img = null;
} }
@ -421,6 +399,7 @@ namespace OpenFaceOffline
// Capturing and processing the video frame by frame // Capturing and processing the video frame by frame
private void VideoLoop() private void VideoLoop()
{ {
Thread.CurrentThread.IsBackground = true; Thread.CurrentThread.IsBackground = true;
DateTime? startTime = CurrentTime; DateTime? startTime = CurrentTime;
@ -431,10 +410,18 @@ namespace OpenFaceOffline
face_analyser.Reset(); face_analyser.Reset();
// TODO add an ability to change these through a calibration procedure or setting menu // TODO add an ability to change these through a calibration procedure or setting menu
double fx, fy, cx, cy; double fx = 500.0 * (capture.width / 640.0);
fx = 500.0; double fy = 500.0 * (capture.height / 480.0);
fy = 500.0;
cx = cy = -1; fx = (fx + fy) / 2.0;
fy = fx;
double cx = capture.width / 2f;
double cy = capture.height / 2f;
// Setup the recorder first, TODO change
recorder = new Recorder(record_root, "test.txt", capture.width, capture.height, Record2DLandmarks, Record3DLandmarks, RecordModelParameters, RecordPose,
RecordAUs, RecordGaze, RecordAligned, RecordHOG, clnf_model, face_analyser, fx, fy, cx, cy);
int frame_id = 0; int frame_id = 0;
@ -470,19 +457,6 @@ namespace OpenFaceOffline
continue; 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); bool detectionSucceeding = ProcessFrame(clnf_model, clnf_params, frame, grayFrame, fx, fy, cx, cy);
double scale = clnf_model.GetRigidParams()[0]; double scale = clnf_model.GetRigidParams()[0];
@ -498,11 +472,8 @@ namespace OpenFaceOffline
clnf_model.GetPose(pose, fx, fy, cx, cy); clnf_model.GetPose(pose, fx, fy, cx, cy);
List<double> non_rigid_params = clnf_model.GetNonRigidParams(); List<double> non_rigid_params = clnf_model.GetNonRigidParams();
// The face analysis step (only done if recording AUs, HOGs or video) // The face analysis step (for AUs and eye gaze)
if (record_AUs || record_HOG || record_aligned || show_aus || show_appearance || record_tracked_vid || record_gaze) face_analyser.AddNextFrame(frame, clnf_model, fx, fy, cx, cy, false, ShowAppearance, false); // TODO change
{
face_analyser.AddNextFrame(frame, clnf_model, fx, fy, cx, cy, false, show_appearance, record_tracked_vid);
}
List<Tuple<Point, Point>> lines = null; List<Tuple<Point, Point>> lines = null;
List<Tuple<double, double>> landmarks = null; List<Tuple<double, double>> landmarks = null;
@ -522,7 +493,7 @@ namespace OpenFaceOffline
// Visualisation // Visualisation
Dispatcher.Invoke(DispatcherPriority.Render, new TimeSpan(0, 0, 0, 0, 200), (Action)(() => Dispatcher.Invoke(DispatcherPriority.Render, new TimeSpan(0, 0, 0, 0, 200), (Action)(() =>
{ {
if (show_aus) if (ShowAUs)
{ {
var au_classes = face_analyser.GetCurrentAUsClass(); var au_classes = face_analyser.GetCurrentAUsClass();
var au_regs = face_analyser.GetCurrentAUsReg(); var au_regs = face_analyser.GetCurrentAUsReg();
@ -542,7 +513,7 @@ namespace OpenFaceOffline
auRegGraph.Update(au_regs_scaled); auRegGraph.Update(au_regs_scaled);
} }
if (show_geometry) if (ShowGeometry)
{ {
int yaw = (int)(pose[4] * 180 / Math.PI + 0.5); int yaw = (int)(pose[4] * 180 / Math.PI + 0.5);
int roll = (int)(pose[5] * 180 / Math.PI + 0.5); int roll = (int)(pose[5] * 180 / Math.PI + 0.5);
@ -565,7 +536,7 @@ namespace OpenFaceOffline
GazeYLabel.Content = y_angle; GazeYLabel.Content = y_angle;
} }
if (show_tracked_video) if (ShowTrackedVideo)
{ {
if (latest_img == null) if (latest_img == null)
{ {
@ -609,7 +580,7 @@ namespace OpenFaceOffline
} }
} }
if (show_appearance) if (ShowAppearance)
{ {
RawImage aligned_face = face_analyser.GetLatestAlignedFace(); RawImage aligned_face = face_analyser.GetLatestAlignedFace();
RawImage hog_face = face_analyser.GetLatestHOGDescriptorVisualisation(); RawImage hog_face = face_analyser.GetLatestHOGDescriptorVisualisation();
@ -628,9 +599,7 @@ namespace OpenFaceOffline
} }
})); }));
// Recording the tracked model recorder.RecordFrame(clnf_model, face_analyser, detectionSucceeding, frame_id + 1, ((double)frame_id) / fps);
RecordFrame(clnf_model, detectionSucceeding, frame_id + 1, frame, grayFrame, ((double)frame_id) / fps,
record_2D_landmarks, record_2D_landmarks, record_model_params, record_pose, record_AUs, record_gaze, fx, fy, cx, cy);
if (reset) if (reset)
{ {
@ -662,6 +631,8 @@ namespace OpenFaceOffline
PauseButton_Click(null, null); PauseButton_Click(null, null);
})); }));
} }
recorder.FinishRecording(clnf_model, face_analyser);
} }
private void StopTracking() private void StopTracking()
@ -695,265 +666,25 @@ namespace OpenFaceOffline
} }
// ----------------------------------------------------------
// Recording helpers
private void SetupRecording(String root, String filename, int width, int height, bool output_2D_landmarks, bool output_3D_landmarks,
bool output_model_params, bool output_pose, bool output_AUs, bool output_gaze)
{
// Disallow changing recording settings when the recording starts, TODO move this up a bit
Dispatcher.Invoke(DispatcherPriority.Render, new TimeSpan(0, 0, 0, 0, 200), (Action)(() =>
{
RecordingMenu.IsEnabled = false;
UseDynamicModelsCheckBox.IsEnabled = false;
}));
if (!System.IO.Directory.Exists(root))
{
System.IO.Directory.CreateDirectory(root);
}
output_features_file = new StreamWriter(root + "/" + filename + ".txt");
output_features_file.Write("frame, timestamp, confidence, success");
if (output_gaze)
output_features_file.Write(", gaze_0_x, gaze_0_y, gaze_0_z, gaze_1_x, gaze_1_y, gaze_1_z");
if (output_pose)
output_features_file.Write(", pose_Tx, pose_Ty, pose_Tz, pose_Rx, pose_Ry, pose_Rz");
if (output_2D_landmarks)
{
for (int i = 0; i < clnf_model.GetNumPoints(); ++i)
{
output_features_file.Write(", x_" + i);
}
for (int i = 0; i < clnf_model.GetNumPoints(); ++i)
{
output_features_file.Write(", y_" + i);
}
}
if (output_3D_landmarks)
{
for (int i = 0; i < clnf_model.GetNumPoints(); ++i)
{
output_features_file.Write(", X_" + i);
}
for (int i = 0; i < clnf_model.GetNumPoints(); ++i)
{
output_features_file.Write(", Y_" + i);
}
for (int i = 0; i < clnf_model.GetNumPoints(); ++i)
{
output_features_file.Write(", Z_" + i);
}
}
if (output_model_params)
{
output_features_file.Write(", p_scale, p_rx, p_ry, p_rz, p_tx, p_ty");
for (int i = 0; i < clnf_model.GetNumModes(); ++i)
{
output_features_file.Write(", p_" + i);
}
}
if (output_AUs)
{
au_reg_names = face_analyser.GetRegActionUnitsNames();
au_reg_names.Sort();
foreach (var name in au_reg_names)
{
output_features_file.Write(", " + name + "_r");
}
au_class_names = face_analyser.GetClassActionUnitsNames();
au_class_names.Sort();
foreach (var name in au_class_names)
{
output_features_file.Write(", " + name + "_c");
}
}
output_features_file.WriteLine();
if (record_aligned)
{
String aligned_root = root + "/" + filename + "_aligned/";
System.IO.Directory.CreateDirectory(aligned_root);
face_analyser.SetupAlignedImageRecording(aligned_root);
}
if (record_tracked_vid)
{
String vid_loc = root + "/" + filename + ".avi";
System.IO.Directory.CreateDirectory(root);
face_analyser.SetupTrackingRecording(vid_loc, width, height, 30);
}
if (record_HOG)
{
String filename_HOG = root + "/" + filename + ".hog";
face_analyser.SetupHOGRecording(filename_HOG);
}
}
private void StopRecording()
{
if (output_features_file != null)
output_features_file.Close();
if (record_HOG)
face_analyser.StopHOGRecording();
if (record_tracked_vid)
face_analyser.StopTrackingRecording();
Dispatcher.Invoke(DispatcherPriority.Render, new TimeSpan(0, 0, 0, 0, 200), (Action)(() =>
{
RecordingMenu.IsEnabled = true;
UseDynamicModelsCheckBox.IsEnabled = true;
}));
}
// Recording the relevant objects
private void RecordFrame(CLNF clnf_model, bool success, int frame_ind, RawImage frame, RawImage grayscale_frame, double time_stamp, bool output_2D_landmarks, bool output_3D_landmarks,
bool output_model_params, bool output_pose, bool output_AUs, bool output_gaze, double fx, double fy, double cx, double cy)
{
// Making sure that full stop is used instead of a comma for data recording
System.Globalization.CultureInfo customCulture = (System.Globalization.CultureInfo)System.Threading.Thread.CurrentThread.CurrentCulture.Clone();
customCulture.NumberFormat.NumberDecimalSeparator = ".";
System.Threading.Thread.CurrentThread.CurrentCulture = customCulture;
double confidence = (-clnf_model.GetConfidence()) / 2.0 + 0.5;
List<double> pose = new List<double>();
clnf_model.GetPose(pose, fx, fy, cx, cy);
output_features_file.Write(String.Format("{0}, {1}, {2:F3}, {3}", frame_ind, time_stamp, confidence, success ? 1 : 0));
if (output_gaze)
{
var gaze = face_analyser.GetGazeCamera();
var gaze_angle = face_analyser.GetGazeAngle();
output_features_file.Write(String.Format(", {0:F5}, {1:F5}, {2:F5}, {3:F5}, {4:F5}, {5:F5}, {6:F5}, {7:F5}", gaze.Item1.Item1, gaze.Item1.Item2, gaze.Item1.Item3,
gaze.Item2.Item1, gaze.Item2.Item2, gaze.Item2.Item3, gaze_angle.Item1, gaze_angle.Item2));
}
if (output_pose)
output_features_file.Write(String.Format(", {0:F3}, {1:F3}, {2:F3}, {3:F3}, {4:F3}, {5:F3}", pose[0], pose[1], pose[2], pose[3], pose[4], pose[5]));
if (output_2D_landmarks)
{
List<Tuple<double, double>> landmarks_2d = clnf_model.CalculateLandmarks();
for (int i = 0; i < landmarks_2d.Count; ++i)
output_features_file.Write(", {0:F2}", landmarks_2d[i].Item1);
for (int i = 0; i < landmarks_2d.Count; ++i)
output_features_file.Write(", {0:F2}", landmarks_2d[i].Item2);
}
if (output_3D_landmarks)
{
List<System.Windows.Media.Media3D.Point3D> landmarks_3d = clnf_model.Calculate3DLandmarks(fx, fy, cx, cy);
for (int i = 0; i < landmarks_3d.Count; ++i)
output_features_file.Write(", {0:F2}", landmarks_3d[i].X);
for (int i = 0; i < landmarks_3d.Count; ++i)
output_features_file.Write(", {0:F2}", landmarks_3d[i].Y);
for (int i = 0; i < landmarks_3d.Count; ++i)
output_features_file.Write(", {0:F2}", landmarks_3d[i].Z);
}
if (output_model_params)
{
List<double> all_params = clnf_model.GetParams();
for (int i = 0; i < all_params.Count; ++i)
output_features_file.Write(String.Format(", {0,0:F5}", all_params[i]));
}
if (output_AUs)
{
var au_regs = face_analyser.GetCurrentAUsReg();
foreach (var name_reg in au_reg_names)
output_features_file.Write(", {0:F2}", au_regs[name_reg]);
var au_classes = face_analyser.GetCurrentAUsClass();
foreach (var name_class in au_class_names)
output_features_file.Write(", {0:F0}", au_classes[name_class]);
}
output_features_file.WriteLine();
if (record_aligned)
{
face_analyser.RecordAlignedFrame(frame_ind);
}
if (record_HOG)
{
face_analyser.RecordHOGFrame();
}
if (record_tracked_vid)
{
face_analyser.RecordTrackedFace();
}
}
// ---------------------------------------------------------- // ----------------------------------------------------------
// Mode handling (image, video) // Mode handling (image, video)
// ---------------------------------------------------------- // ----------------------------------------------------------
private void SetupImageMode() private void SetupImageMode()
{ {
// Turn off recording
record_aligned = false;
record_HOG = false;
record_tracked_vid = false;
// Turn off unneeded visualisations // Turn off unneeded visualisations, TODO remove dispatch
show_tracked_video = true; ShowTrackedVideo = true;
show_appearance = false; ShowAppearance = false;
show_geometry = false; ShowGeometry = false;
show_aus = false; ShowAUs = false;
RecordAligned = false;
RecordHOG = false;
// Actually update the GUI accordingly // Actually update the GUI accordingly
Dispatcher.Invoke(DispatcherPriority.Render, new TimeSpan(0, 0, 0, 0, 2000), (Action)(() => Dispatcher.Invoke(DispatcherPriority.Render, new TimeSpan(0, 0, 0, 0, 2000), (Action)(() =>
{ {
RecordAUCheckBox.IsChecked = record_AUs; VisualisationChange(null, null);
RecordAlignedCheckBox.IsChecked = record_aligned;
RecordTrackedVidCheckBox.IsChecked = record_tracked_vid;
RecordHOGCheckBox.IsChecked = record_HOG;
RecordGazeCheckBox.IsChecked = record_gaze;
RecordLandmarks2DCheckBox.IsChecked = record_2D_landmarks;
RecordLandmarks3DCheckBox.IsChecked = record_3D_landmarks;
RecordParamsCheckBox.IsChecked = record_model_params;
RecordPoseCheckBox.IsChecked = record_pose;
ShowVideoCheckBox.IsChecked = true;
ShowAppearanceFeaturesCheckBox.IsChecked = false;
ShowGeometryFeaturesCheckBox.IsChecked = false;
ShowAUsCheckBox.IsChecked = false;
VisualisationCheckBox_Click(null, null);
})); }));
// TODO change what next and back buttons do? // TODO change what next and back buttons do?
@ -1081,7 +812,7 @@ namespace OpenFaceOffline
ResetButton.IsEnabled = false; ResetButton.IsEnabled = false;
RecordingMenu.IsEnabled = true; RecordingMenu.IsEnabled = true;
UseDynamicModelsCheckBox.IsEnabled = true; AUSetting.IsEnabled = true;
} }
} }
@ -1131,15 +862,10 @@ namespace OpenFaceOffline
} }
private void VisualisationCheckBox_Click(object sender, RoutedEventArgs e) private void VisualisationChange(object sender, RoutedEventArgs e)
{ {
show_tracked_video = ShowVideoCheckBox.IsChecked;
show_appearance = ShowAppearanceFeaturesCheckBox.IsChecked;
show_geometry = ShowGeometryFeaturesCheckBox.IsChecked;
show_aus = ShowAUsCheckBox.IsChecked;
// Collapsing or restoring the windows here // Collapsing or restoring the windows here
if (!show_tracked_video) if (!ShowTrackedVideo)
{ {
VideoBorder.Visibility = System.Windows.Visibility.Collapsed; VideoBorder.Visibility = System.Windows.Visibility.Collapsed;
MainGrid.ColumnDefinitions[0].Width = new GridLength(0, GridUnitType.Star); MainGrid.ColumnDefinitions[0].Width = new GridLength(0, GridUnitType.Star);
@ -1150,7 +876,7 @@ namespace OpenFaceOffline
MainGrid.ColumnDefinitions[0].Width = new GridLength(2.1, GridUnitType.Star); MainGrid.ColumnDefinitions[0].Width = new GridLength(2.1, GridUnitType.Star);
} }
if (!show_appearance) if (!ShowAppearance)
{ {
AppearanceBorder.Visibility = System.Windows.Visibility.Collapsed; AppearanceBorder.Visibility = System.Windows.Visibility.Collapsed;
MainGrid.ColumnDefinitions[1].Width = new GridLength(0, GridUnitType.Star); MainGrid.ColumnDefinitions[1].Width = new GridLength(0, GridUnitType.Star);
@ -1162,7 +888,7 @@ namespace OpenFaceOffline
} }
// Collapsing or restoring the windows here // Collapsing or restoring the windows here
if (!show_geometry) if (!ShowGeometry)
{ {
GeometryBorder.Visibility = System.Windows.Visibility.Collapsed; GeometryBorder.Visibility = System.Windows.Visibility.Collapsed;
MainGrid.ColumnDefinitions[2].Width = new GridLength(0, GridUnitType.Star); MainGrid.ColumnDefinitions[2].Width = new GridLength(0, GridUnitType.Star);
@ -1174,7 +900,7 @@ namespace OpenFaceOffline
} }
// Collapsing or restoring the windows here // Collapsing or restoring the windows here
if (!show_aus) if (!ShowAUs)
{ {
ActionUnitBorder.Visibility = System.Windows.Visibility.Collapsed; ActionUnitBorder.Visibility = System.Windows.Visibility.Collapsed;
MainGrid.ColumnDefinitions[3].Width = new GridLength(0, GridUnitType.Star); MainGrid.ColumnDefinitions[3].Width = new GridLength(0, GridUnitType.Star);
@ -1187,32 +913,11 @@ namespace OpenFaceOffline
} }
private void recordCheckBox_click(object sender, RoutedEventArgs e)
{
record_AUs = RecordAUCheckBox.IsChecked;
record_aligned = RecordAlignedCheckBox.IsChecked;
record_HOG = RecordHOGCheckBox.IsChecked;
record_gaze = RecordGazeCheckBox.IsChecked;
record_tracked_vid = RecordTrackedVidCheckBox.IsChecked;
record_2D_landmarks = RecordLandmarks2DCheckBox.IsChecked;
record_3D_landmarks = RecordLandmarks3DCheckBox.IsChecked;
record_model_params = RecordParamsCheckBox.IsChecked;
record_pose = RecordPoseCheckBox.IsChecked;
}
private void UseDynamicModelsCheckBox_Click(object sender, RoutedEventArgs e) private void UseDynamicModelsCheckBox_Click(object sender, RoutedEventArgs e)
{
dynamic_AU_shift = UseDynamicShiftingCheckBox.IsChecked;
dynamic_AU_scale = UseDynamicScalingCheckBox.IsChecked;
if (use_dynamic_models != UseDynamicModelsCheckBox.IsChecked)
{ {
// Change the face analyser, this should be safe as the model is only allowed to change when not running // Change the face analyser, this should be safe as the model is only allowed to change when not running
String root = AppDomain.CurrentDomain.BaseDirectory; String root = AppDomain.CurrentDomain.BaseDirectory;
face_analyser = new FaceAnalyserManaged(root, UseDynamicModelsCheckBox.IsChecked, image_output_size); face_analyser = new FaceAnalyserManaged(root, DynamicAUModels, image_output_size);
}
use_dynamic_models = UseDynamicModelsCheckBox.IsChecked;
} }
private void setOutputImageSize_Click(object sender, RoutedEventArgs e) private void setOutputImageSize_Click(object sender, RoutedEventArgs e)
@ -1227,7 +932,7 @@ namespace OpenFaceOffline
{ {
image_output_size = number_entry_window.OutputInt; image_output_size = number_entry_window.OutputInt;
String root = AppDomain.CurrentDomain.BaseDirectory; String root = AppDomain.CurrentDomain.BaseDirectory;
face_analyser = new FaceAnalyserManaged(root, use_dynamic_models, image_output_size); face_analyser = new FaceAnalyserManaged(root, DynamicAUModels, image_output_size);
} }
} }

1
gui/OpenFaceOffline/OpenFaceOffline.csproj
View file

@ -87,6 +87,7 @@
<SubType>Designer</SubType> <SubType>Designer</SubType>
</ApplicationDefinition> </ApplicationDefinition>
<Compile Include="FpsTracker.cs" /> <Compile Include="FpsTracker.cs" />
<Compile Include="Recorder.cs" />
<Compile Include="UI_items\BarGraph.xaml.cs"> <Compile Include="UI_items\BarGraph.xaml.cs">
<DependentUpon>BarGraph.xaml</DependentUpon> <DependentUpon>BarGraph.xaml</DependentUpon>
</Compile> </Compile>

223
gui/OpenFaceOffline/Recorder.cs Normal file
View file

@ -0,0 +1,223 @@
using CppInterop.LandmarkDetector;
using FaceAnalyser_Interop;
using System;
using System.Collections.Generic;
using System.IO;
using System.Linq;
using System.Text;
using System.Threading.Tasks;
namespace OpenFaceOffline
{
class Recorder
{
StreamWriter output_features_file;
bool output_2D_landmarks, output_3D_landmarks, output_model_params, output_pose, output_AUs, output_gaze, record_aligned, record_HOG;
double fx, fy, cx, cy;
List<string> au_reg_names;
List<string> au_class_names;
public Recorder(string root, string filename, int width, int height, bool output_2D_landmarks, bool output_3D_landmarks, bool output_model_params,
bool output_pose, bool output_AUs, bool output_gaze, bool record_aligned, bool record_HOG,
CLNF clnf_model, FaceAnalyserManaged face_analyser, double fx, double fy, double cx, double cy)
{
this.output_2D_landmarks = output_2D_landmarks; this.output_3D_landmarks = output_3D_landmarks;
this.output_model_params = output_model_params; this.output_pose = output_pose;
this.output_AUs = output_AUs; this.output_gaze = output_gaze;
this.record_aligned = record_aligned; this.record_HOG = record_HOG;
this.fx = fx; this.fy = fy; this.cx = cx; this.cy = cy;
if (!System.IO.Directory.Exists(root))
{
System.IO.Directory.CreateDirectory(root);
}
output_features_file = new StreamWriter(root + "/" + filename + ".txt");
output_features_file.Write("frame, timestamp, confidence, success");
if (output_gaze)
{
output_features_file.Write(", gaze_0_x, gaze_0_y, gaze_0_z, gaze_1_x, gaze_1_y, gaze_1_z");
}
if (output_pose)
output_features_file.Write(", pose_Tx, pose_Ty, pose_Tz, pose_Rx, pose_Ry, pose_Rz");
if (output_2D_landmarks)
{
for (int i = 0; i < clnf_model.GetNumPoints(); ++i)
{
output_features_file.Write(", x_" + i);
}
for (int i = 0; i < clnf_model.GetNumPoints(); ++i)
{
output_features_file.Write(", y_" + i);
}
}
if (output_3D_landmarks)
{
for (int i = 0; i < clnf_model.GetNumPoints(); ++i)
{
output_features_file.Write(", X_" + i);
}
for (int i = 0; i < clnf_model.GetNumPoints(); ++i)
{
output_features_file.Write(", Y_" + i);
}
for (int i = 0; i < clnf_model.GetNumPoints(); ++i)
{
output_features_file.Write(", Z_" + i);
}
}
if (output_model_params)
{
output_features_file.Write(", p_scale, p_rx, p_ry, p_rz, p_tx, p_ty");
for (int i = 0; i < clnf_model.GetNumModes(); ++i)
{
output_features_file.Write(", p_" + i);
}
}
if (output_AUs)
{
au_reg_names = face_analyser.GetRegActionUnitsNames();
au_reg_names.Sort();
foreach (var name in au_reg_names)
{
output_features_file.Write(", " + name + "_r");
}
au_class_names = face_analyser.GetClassActionUnitsNames();
au_class_names.Sort();
foreach (var name in au_class_names)
{
output_features_file.Write(", " + name + "_c");
}
}
output_features_file.WriteLine();
if (record_aligned)
{
String aligned_root = root + "/" + filename + "_aligned/";
System.IO.Directory.CreateDirectory(aligned_root);
face_analyser.SetupAlignedImageRecording(aligned_root);
}
if (record_HOG)
{
String filename_HOG = root + "/" + filename + ".hog";
face_analyser.SetupHOGRecording(filename_HOG);
}
}
public void RecordFrame(CLNF clnf_model, FaceAnalyserManaged face_analyser, bool success, int frame_ind, double time_stamp)
{
// Making sure that full stop is used instead of a comma for data recording
System.Globalization.CultureInfo customCulture = (System.Globalization.CultureInfo)System.Threading.Thread.CurrentThread.CurrentCulture.Clone();
customCulture.NumberFormat.NumberDecimalSeparator = ".";
System.Threading.Thread.CurrentThread.CurrentCulture = customCulture;
double confidence = (-clnf_model.GetConfidence()) / 2.0 + 0.5;
List<double> pose = new List<double>();
clnf_model.GetPose(pose, fx, fy, cx, cy);
output_features_file.Write(String.Format("{0}, {1}, {2:F3}, {3}", frame_ind, time_stamp, confidence, success ? 1 : 0));
if (output_gaze)
{
var gaze = face_analyser.GetGazeCamera();
var gaze_angle = face_analyser.GetGazeAngle();
output_features_file.Write(String.Format(", {0:F5}, {1:F5}, {2:F5}, {3:F5}, {4:F5}, {5:F5}, {6:F5}, {7:F5}", gaze.Item1.Item1, gaze.Item1.Item2, gaze.Item1.Item3,
gaze.Item2.Item1, gaze.Item2.Item2, gaze.Item2.Item3, gaze_angle.Item1, gaze_angle.Item2));
}
if (output_pose)
output_features_file.Write(String.Format(", {0:F3}, {1:F3}, {2:F3}, {3:F3}, {4:F3}, {5:F3}", pose[0], pose[1], pose[2], pose[3], pose[4], pose[5]));
if (output_2D_landmarks)
{
List<Tuple<double, double>> landmarks_2d = clnf_model.CalculateLandmarks();
for (int i = 0; i < landmarks_2d.Count; ++i)
output_features_file.Write(", {0:F2}", landmarks_2d[i].Item1);
for (int i = 0; i < landmarks_2d.Count; ++i)
output_features_file.Write(", {0:F2}", landmarks_2d[i].Item2);
}
if (output_3D_landmarks)
{
List<System.Windows.Media.Media3D.Point3D> landmarks_3d = clnf_model.Calculate3DLandmarks(fx, fy, cx, cy);
for (int i = 0; i < landmarks_3d.Count; ++i)
output_features_file.Write(", {0:F2}", landmarks_3d[i].X);
for (int i = 0; i < landmarks_3d.Count; ++i)
output_features_file.Write(", {0:F2}", landmarks_3d[i].Y);
for (int i = 0; i < landmarks_3d.Count; ++i)
output_features_file.Write(", {0:F2}", landmarks_3d[i].Z);
}
if (output_model_params)
{
List<double> all_params = clnf_model.GetParams();
for (int i = 0; i < all_params.Count; ++i)
output_features_file.Write(String.Format(", {0,0:F5}", all_params[i]));
}
if (output_AUs)
{
var au_regs = face_analyser.GetCurrentAUsReg();
foreach (var name_reg in au_reg_names)
output_features_file.Write(", {0:F2}", au_regs[name_reg]);
var au_classes = face_analyser.GetCurrentAUsClass();
foreach (var name_class in au_class_names)
output_features_file.Write(", {0:F0}", au_classes[name_class]);
}
output_features_file.WriteLine();
if (record_aligned)
{
face_analyser.RecordAlignedFrame(frame_ind);
}
if (record_HOG)
{
face_analyser.RecordHOGFrame();
}
}
public void FinishRecording(CLNF clnf_model, FaceAnalyserManaged face_analyser)
{
if (output_features_file != null)
output_features_file.Close();
if (record_HOG)
face_analyser.StopHOGRecording();
}
}
}

6
lib/local/LandmarkDetector/include/LandmarkDetectorUtils.h
View file

@ -113,9 +113,9 @@ namespace LandmarkDetector
vector<std::pair<cv::Point2d, cv::Point2d>> CalculateBox(cv::Vec6d pose, float fx, float fy, float cx, float cy); vector<std::pair<cv::Point2d, cv::Point2d>> CalculateBox(cv::Vec6d pose, float fx, float fy, float cx, float cy);
void DrawBox(vector<pair<cv::Point, cv::Point>> lines, cv::Mat image, cv::Scalar color, int thickness); void DrawBox(vector<pair<cv::Point, cv::Point>> lines, cv::Mat image, cv::Scalar color, int thickness);
vector<cv::Point2d> CalculateLandmarks(const cv::Mat_<double>& shape2D, cv::Mat_<int>& visibilities); vector<cv::Point2d> CalculateLandmarks(const cv::Mat_<double>& shape2D, const cv::Mat_<int>& visibilities);
vector<cv::Point2d> CalculateLandmarks(CLNF& clnf_model); vector<cv::Point2d> CalculateLandmarks(const CLNF& clnf_model);
vector<cv::Point2d> CalculateEyeLandmarks(CLNF& clnf_model); vector<cv::Point2d> CalculateEyeLandmarks(const CLNF& clnf_model);
void DrawLandmarks(cv::Mat img, vector<cv::Point> landmarks); void DrawLandmarks(cv::Mat img, vector<cv::Point> landmarks);
void Draw(cv::Mat img, const cv::Mat_<double>& shape2D, const cv::Mat_<int>& visibilities); void Draw(cv::Mat img, const cv::Mat_<double>& shape2D, const cv::Mat_<int>& visibilities);

11
lib/local/LandmarkDetector/src/LandmarkDetectorUtils.cpp
View file

@ -1001,7 +1001,7 @@ void DrawBox(vector<pair<cv::Point, cv::Point>> lines, cv::Mat image, cv::Scalar
} }
// Computing landmarks (to be drawn later possibly) // Computing landmarks (to be drawn later possibly)
vector<cv::Point2d> CalculateLandmarks(const cv::Mat_<double>& shape2D, cv::Mat_<int>& visibilities) vector<cv::Point2d> CalculateLandmarks(const cv::Mat_<double>& shape2D, const cv::Mat_<int>& visibilities)
{ {
int n = shape2D.rows/2; int n = shape2D.rows/2;
vector<cv::Point2d> landmarks; vector<cv::Point2d> landmarks;
@ -1020,7 +1020,7 @@ vector<cv::Point2d> CalculateLandmarks(const cv::Mat_<double>& shape2D, cv::Mat_
} }
// Computing landmarks (to be drawn later possibly) // Computing landmarks (to be drawn later possibly)
vector<cv::Point2d> CalculateLandmarks(cv::Mat img, const cv::Mat_<double>& shape2D) vector<cv::Point2d> CalculateLandmarks(const cv::Mat_<double>& shape2D)
{ {
int n; int n;
@ -1054,7 +1054,7 @@ vector<cv::Point2d> CalculateLandmarks(cv::Mat img, const cv::Mat_<double>& shap
} }
// Computing landmarks (to be drawn later possibly) // Computing landmarks (to be drawn later possibly)
vector<cv::Point2d> CalculateLandmarks(CLNF& clnf_model) vector<cv::Point2d> CalculateLandmarks(const CLNF& clnf_model)
{ {
int idx = clnf_model.patch_experts.GetViewIdx(clnf_model.params_global, 0); int idx = clnf_model.patch_experts.GetViewIdx(clnf_model.params_global, 0);
@ -1065,7 +1065,7 @@ vector<cv::Point2d> CalculateLandmarks(CLNF& clnf_model)
} }
// Computing eye landmarks (to be drawn later or in different interfaces) // Computing eye landmarks (to be drawn later or in different interfaces)
vector<cv::Point2d> CalculateEyeLandmarks(CLNF& clnf_model) vector<cv::Point2d> CalculateEyeLandmarks(const CLNF& clnf_model)
{ {
vector<cv::Point2d> to_return; vector<cv::Point2d> to_return;
@ -1076,7 +1076,8 @@ vector<cv::Point2d> CalculateEyeLandmarks(CLNF& clnf_model)
if (clnf_model.hierarchical_model_names[i].compare("left_eye_28") == 0 || if (clnf_model.hierarchical_model_names[i].compare("left_eye_28") == 0 ||
clnf_model.hierarchical_model_names[i].compare("right_eye_28") == 0) clnf_model.hierarchical_model_names[i].compare("right_eye_28") == 0)
{ {
auto lmks = CalculateLandmarks(clnf_model.hierarchical_models[i].detected_landmarks, clnf_model.hierarchical_models[i].patch_experts.visibilities[0][0]);
auto lmks = CalculateLandmarks(clnf_model.hierarchical_models[i]);
for (auto lmk : lmks) for (auto lmk : lmks)
{ {
to_return.push_back(lmk); to_return.push_back(lmk);

15
matlab_runners/Demos/feature_extraction_demo_vid.m
View file

@ -1,3 +1,4 @@
clear
executable = '"../../x64/Release/FeatureExtraction.exe"'; executable = '"../../x64/Release/FeatureExtraction.exe"';
output = './output_features_vid/'; output = './output_features_vid/';
@ -6,7 +7,8 @@ if(~exist(output, 'file'))
mkdir(output) mkdir(output)
end end
in_files = dir('../../videos/1815_01_008_tony_blair.avi'); root_dir = '../../videos/';
in_files = dir([root_dir, 'default.wmv']);
% some parameters % some parameters
verbose = true; verbose = true;
@ -19,7 +21,7 @@ command = cat(2, command, ' -verbose ');
% for every video) % for every video)
for i=1:numel(in_files) for i=1:numel(in_files)
inputFile = ['../../videos/', in_files(i).name]; inputFile = [root_dir, in_files(i).name];
[~, name, ~] = fileparts(inputFile); [~, name, ~] = fileparts(inputFile);
% where to output tracking results % where to output tracking results
@ -69,13 +71,22 @@ xlabel('Time (s)');
landmark_inds_x = cellfun(@(x) ~isempty(x) && x==1, strfind(column_names, 'x_')); landmark_inds_x = cellfun(@(x) ~isempty(x) && x==1, strfind(column_names, 'x_'));
landmark_inds_y = cellfun(@(x) ~isempty(x) && x==1, strfind(column_names, 'y_')); landmark_inds_y = cellfun(@(x) ~isempty(x) && x==1, strfind(column_names, 'y_'));
landmark_inds_x_eye = cellfun(@(x) ~isempty(x) && x==1, strfind(column_names, 'eye_lmk_x_'));
landmark_inds_y_eye = cellfun(@(x) ~isempty(x) && x==1, strfind(column_names, 'eye_lmk_y_'));
xs = all_params(valid_frames, landmark_inds_x); xs = all_params(valid_frames, landmark_inds_x);
ys = all_params(valid_frames, landmark_inds_y); ys = all_params(valid_frames, landmark_inds_y);
xs_eye = all_params(valid_frames, landmark_inds_x_eye);
ys_eye = all_params(valid_frames, landmark_inds_y_eye);
figure figure
for j = 1:size(xs,1) for j = 1:size(xs,1)
plot(xs(j,:), -ys(j,:), '.'); plot(xs(j,:), -ys(j,:), '.');
hold on;
plot(xs_eye(j,:), -ys_eye(j,:), '.');
hold off;
xlim([min(xs(1,:)) * 0.5, max(xs(2,:))*1.4]); xlim([min(xs(1,:)) * 0.5, max(xs(2,:))*1.4]);
ylim([min(-ys(1,:)) * 1.4, max(-ys(2,:))*0.5]); ylim([min(-ys(1,:)) * 1.4, max(-ys(2,:))*0.5]);
xlabel('x (px)'); xlabel('x (px)');