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Starting to move video processing to new c++ interface

This commit is contained in:
Tadas Baltrusaitis 2018-01-22 17:43:05 +00:00
parent 97ef5087e3
commit 7f9e883fdc
8 changed files with 340 additions and 559 deletions
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365
gui/OpenFaceOffline/MainWindow.xaml.cs
View File

@ -83,7 +83,6 @@ namespace OpenFaceOffline
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;
@ -108,9 +107,6 @@ namespace OpenFaceOffline
FaceAnalyserManaged face_analyser;
GazeAnalyserManaged gaze_analyser;
// For output recording
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)
@ -160,82 +156,90 @@ namespace OpenFaceOffline
// ----------------------------------------------------------
// 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)
// Wrapper for processing multiple sequences
private void ProcessSequences(List<String> filenames)
{
for (int i = 0; i < filenames.Count; ++i)
{
SequenceReader reader = new SequenceReader(filenames[i], false);
ProcessSequence(reader);
}
}
// The main function call for processing sequences
private void ProcessSequence(SequenceReader reader)
{
SetupFeatureExtractionMode();
thread_running = true;
// Create the video capture and call the VideoLoop
if (filenames != null)
face_model_params.optimiseForVideo();
// Setup the visualization
Visualizer visualizer_of = new Visualizer(ShowTrackedVideo || RecordTracked, ShowAppearance, ShowAppearance);
// Initialize the face analyser
face_analyser = new FaceAnalyserManaged(AppDomain.CurrentDomain.BaseDirectory, DynamicAUModels, image_output_size);
// Reset the tracker
clnf_model.Reset();
// Loading an image file
var frame = new RawImage(reader.GetNextImage());
var gray_frame = new RawImage(reader.GetCurrentFrameGray());
// Setup recording
RecorderOpenFaceParameters rec_params = new RecorderOpenFaceParameters(true, reader.IsWebcam(),
Record2DLandmarks, Record3DLandmarks, RecordModelParameters, RecordPose, RecordAUs,
RecordGaze, RecordHOG, RecordTracked, RecordAligned,
reader.GetFx(), reader.GetFy(), reader.GetCx(), reader.GetCy(), reader.GetFPS());
RecorderOpenFace recorder = new RecorderOpenFace(reader.GetName(), rec_params, record_root);
// For FPS tracking
DateTime? startTime = CurrentTime;
var lastFrameTime = CurrentTime;
// This will be false when the image is not available
while (reader.IsOpened())
{
face_model_params.optimiseForVideo();
if (cam_id == -2)
if(!thread_running)
{
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
System.Windows.MessageBox.Show(messageBoxText, caption, button, icon);
}
continue;
}
else
lastFrameTime = CurrentTime;
processing_fps.AddFrame();
double progress = reader.GetProgress();
bool detectionSucceeding = clnf_model.DetectLandmarksInVideo(gray_frame, face_model_params);
// The face analysis step (for AUs and eye gaze)
face_analyser.AddNextFrame(frame, clnf_model.CalculateAllLandmarks(), detectionSucceeding, false);
gaze_analyser.AddNextFrame(clnf_model, detectionSucceeding, fx, fy, cx, cy);
// Only the final face will contain the details
VisualizeFeatures(frame, visualizer_of, clnf_model.CalculateAllLandmarks(), true, reader.GetFx(), reader.GetFy(), reader.GetCx(), reader.GetCy(), progress);
// Record an observation
RecordObservation(recorder, visualizer_of.GetVisImage(), detectionSucceeding, reader.GetFx(), reader.GetFy(), reader.GetCx(), reader.GetCy());
while (thread_running & thread_paused && skip_frames == 0)
{
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
System.Windows.MessageBox.Show(messageBoxText, caption, button, icon);
}
}
Thread.Sleep(10);
}
if (skip_frames > 0)
skip_frames--;
frame = new RawImage(reader.GetNextImage());
gray_frame = new RawImage(reader.GetCurrentFrameGray());
}
// Post-process the AU recordings, TODO
//recorder.FinishRecording(clnf_model, face_analyser);
EndMode();
}
@ -329,110 +333,6 @@ namespace OpenFaceOffline
}
// 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 = new FaceAnalyserManaged(AppDomain.CurrentDomain.BaseDirectory, DynamicAUModels, image_output_size);
// 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 = 500.0f * (capture.width / 640.0f);
fy = 500.0f * (capture.height / 480.0f);
fx = (fx + fy) / 2.0f;
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);
// Setup the c++ visualizer
Visualizer visualizer_of = new Visualizer(ShowTrackedVideo || RecordTracked, ShowAppearance, ShowAppearance);
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.CalculateAllLandmarks(), detectionSucceeding, false);
gaze_analyser.AddNextFrame(clnf_model, detectionSucceeding, fx, fy, cx, cy);
recorder.RecordFrame(clnf_model, face_analyser, gaze_analyser, detectionSucceeding, frame_id + 1, ((double)frame_id) / fps);
List<Tuple<double, double>> landmarks = clnf_model.CalculateVisibleLandmarks();
VisualizeFeatures(frame, visualizer_of, landmarks, true, 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 RecordObservation(RecorderOpenFace recorder, RawImage vis_image, bool success, float fx, float fy, float cx, float cy)
{
@ -651,17 +551,6 @@ namespace OpenFaceOffline
}
// ----------------------------------------------------------
// 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;
}
// ----------------------------------------------------------
// Mode handling (image, video)
// ----------------------------------------------------------
@ -685,6 +574,18 @@ namespace OpenFaceOffline
// When the processing is done re-enable the components
private void EndMode()
{
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);
}));
}
Dispatcher.Invoke(DispatcherPriority.Render, new TimeSpan(0, 0, 0, 1, 0), (Action)(() =>
{
@ -725,43 +626,16 @@ namespace OpenFaceOffline
// 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 Microsoft.Win32.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();
}
}));
}
// Some utilities for opening images/videos and directories
private ImageReader openMediaDialog(bool images)
private List<string> openMediaDialog(bool images)
{
string[] image_files = new string[0];
Dispatcher.Invoke(DispatcherPriority.Render, new TimeSpan(0, 0, 0, 2, 0), (Action)(() =>
{
var d = new Microsoft.Win32.OpenFileDialog();
d.Multiselect = true;
if(images)
{
if (images)
{
d.Filter = "Image files|*.jpg;*.jpeg;*.bmp;*.png;*.gif";
}
else
@ -776,9 +650,9 @@ namespace OpenFaceOffline
}
}));
List<string> img_files_list = new List<string>(image_files);
return new ImageReader(img_files_list);
return img_files_list;
}
private string openDirectory()
{
string to_return = "";
@ -805,13 +679,41 @@ namespace OpenFaceOffline
return to_return;
}
private void imageSequenceFileOpenClick(object sender, RoutedEventArgs e)
{
// First clean up existing tracking
StopTracking();
string directory = openDirectory();
if (!string.IsNullOrWhiteSpace(directory))
{
SequenceReader reader = new SequenceReader(directory, true);
processing_thread = new Thread(() => ProcessSequence(reader));
processing_thread.Start();
}
}
private void videoFileOpenClick(object sender, RoutedEventArgs e)
{
// First clean up existing tracking
StopTracking();
var video_files = openMediaDialog(false);
processing_thread = new Thread(() => ProcessSequences(video_files));
processing_thread.Start();
}
// Selecting one or more images in a directory
private void individualImageFilesOpenClick(object sender, RoutedEventArgs e)
{
// First clean up existing tracking
StopTracking();
ImageReader reader = openMediaDialog(true);
var image_files = openMediaDialog(true);
ImageReader reader = new ImageReader(image_files);
processing_thread = new Thread(() => ProcessIndividualImages(reader));
processing_thread.Start();
@ -835,35 +737,6 @@ namespace OpenFaceOffline
}
}
private void imageSequenceFileOpenClick(object sender, RoutedEventArgs e)
{
new Thread(() => imageSequenceOpen()).Start();
}
// TODO this should be removed and replace with directory open
private void imageSequenceOpen()
{
StopTracking();
Dispatcher.Invoke(DispatcherPriority.Render, new TimeSpan(0, 0, 0, 2, 0), (Action)(() =>
{
var d = new Microsoft.Win32.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
// --------------------------------------------------------
@ -876,8 +749,6 @@ namespace OpenFaceOffline
// Stop capture and tracking
thread_running = false;
processing_thread.Join();
capture.Dispose();
}
face_analyser.Dispose();
}

1
gui/OpenFaceOffline/OpenFaceOffline.csproj
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@ -88,7 +88,6 @@
<SubType>Designer</SubType>
</ApplicationDefinition>
<Compile Include="FpsTracker.cs" />
<Compile Include="Recorder.cs" />
<Compile Include="UI_items\BarGraph.xaml.cs">
<DependentUpon>BarGraph.xaml</DependentUpon>
</Compile>

305
gui/OpenFaceOffline/Recorder.cs
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@ -1,305 +0,0 @@
///////////////////////////////////////////////////////////////////////////////
// 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 CppInterop.LandmarkDetector;
using FaceAnalyser_Interop;
using GazeAnalyser_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;
String out_filename;
bool dynamic_AU_model;
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, bool dynamic_AU_model)
{
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;
this.dynamic_AU_model = dynamic_AU_model;
if (!System.IO.Directory.Exists(root))
{
System.IO.Directory.CreateDirectory(root);
}
// Write out the OF file which tells where all the relevant data is
StreamWriter out_of_file = new StreamWriter(root + "/" + filename + ".of");
//out_of_file.WriteLine("Video_file:" + )
out_of_file.WriteLine("CSV file: " + root + "/" + filename + ".csv");
if(record_HOG)
{
out_of_file.WriteLine("HOG file: " + root + "/" + filename + ".hog");
}
if(record_aligned)
{
out_of_file.WriteLine("Aligned dir: " + root + "/" + filename + "/");
}
out_filename = root + "/" + filename + ".csv";
output_features_file = new StreamWriter(out_filename);
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, gaze_angle_x, gaze_angle_y");
// Output gaze eye landmarks
int gaze_num_lmks = clnf_model.CalculateAllEyeLandmarks().Count;
for (int i = 0; i < gaze_num_lmks; ++i)
{
output_features_file.Write(", eye_lmk_x_" + i);
}
for (int i = 0; i < gaze_num_lmks; ++i)
{
output_features_file.Write(", eye_lmk_y_" + i);
}
}
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, GazeAnalyserManaged gaze_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 = gaze_analyser.GetGazeCamera();
var gaze_angle = gaze_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));
List<Tuple<double, double>> landmarks_2d = clnf_model.CalculateAllEyeLandmarks();
for (int i = 0; i < landmarks_2d.Count; ++i)
output_features_file.Write(", {0:F3}", landmarks_2d[i].Item1);
for (int i = 0; i < landmarks_2d.Count; ++i)
output_features_file.Write(", {0:F3}", landmarks_2d[i].Item2);
}
if (output_pose)
output_features_file.Write(String.Format(", {0:F4}, {1:F4}, {2:F4}, {3:F4}, {4:F4}, {5:F4}", pose[0], pose[1], pose[2], pose[3], pose[4], pose[5]));
if (output_2D_landmarks)
{
List<Tuple<double, double>> landmarks_2d = clnf_model.CalculateAllLandmarks();
for (int i = 0; i < landmarks_2d.Count; ++i)
output_features_file.Write(", {0:F3}", landmarks_2d[i].Item1);
for (int i = 0; i < landmarks_2d.Count; ++i)
output_features_file.Write(", {0:F3}", landmarks_2d[i].Item2);
}
if (output_3D_landmarks)
{
List<Tuple<double, double, double>> landmarks_3d = clnf_model.Calculate3DLandmarks(fx, fy, cx, cy);
for (int i = 0; i < landmarks_3d.Count; ++i)
output_features_file.Write(", {0:F3}", landmarks_3d[i].Item1);
for (int i = 0; i < landmarks_3d.Count; ++i)
output_features_file.Write(", {0:F3}", landmarks_3d[i].Item2);
for (int i = 0; i < landmarks_3d.Count; ++i)
output_features_file.Write(", {0:F3}", landmarks_3d[i].Item3);
}
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();
face_analyser.PostProcessOutputFile(out_filename);
}
static void RecordImg(string out_root, string filename, CLNF clnf_model, FaceAnalyserManaged face_analyser, double fx, double fy, double cx, double cy)
{
// Points, pose, gaze, aus
}
}
}

1
lib/local/CppInerop/CppInerop.vcxproj
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@ -186,6 +186,7 @@
<ClInclude Include="FaceDetectorInterop.h" />
<ClInclude Include="OpenCVWrappers.h" />
<ClInclude Include="RecorderInterop.h" />
<ClInclude Include="SequenceReader.h" />
<ClInclude Include="VisualizerInterop.h" />
</ItemGroup>
<ItemGroup>

3
lib/local/CppInerop/CppInerop.vcxproj.filters
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@ -50,5 +50,8 @@
<ClInclude Include="VisualizerInterop.h">
<Filter>Header Files</Filter>
</ClInclude>
<ClInclude Include="SequenceReader.h">
<Filter>Header Files</Filter>
</ClInclude>
</ItemGroup>
</Project>

3
lib/local/CppInerop/CppInterop.cpp
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@ -41,4 +41,5 @@
#include "ImageReader.h"
#include "FaceDetectorInterop.h"
#include "RecorderInterop.h"
#include "VisualizerInterop.h"
#include "VisualizerInterop.h"
#include "SequenceReader.h"

7
lib/local/CppInerop/ImageReader.h
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@ -1,6 +1,5 @@
///////////////////////////////////////////////////////////////////////////////
// Copyright (C) 2017, Carnegie Mellon University and University of Cambridge,
// all rights reserved.
// Copyright (C) 2017, Tadas Baltrusaitis, all rights reserved.
//
// ACADEMIC OR NON-PROFIT ORGANIZATION NONCOMMERCIAL RESEARCH USE ONLY
//
@ -32,8 +31,6 @@
//
///////////////////////////////////////////////////////////////////////////////
// Camera_Interop.h
#pragma once
#pragma unmanaged
@ -210,7 +207,7 @@ namespace UtilitiesOF {
}
if (m_is_opened != nullptr)
{
delete m_gray_frame;
delete m_is_opened;
}
}

214
lib/local/CppInerop/SequenceReader.h Normal file
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@ -0,0 +1,214 @@
///////////////////////////////////////////////////////////////////////////////
// Copyright (C) 2017, Tadas Baltrusaitis, 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.
//
///////////////////////////////////////////////////////////////////////////////
#pragma once
#pragma unmanaged
// Include all the unmanaged things we need.
#include <opencv2/core/core.hpp>
#include "opencv2/objdetect.hpp"
#include "opencv2/calib3d.hpp"
#include <opencv2/imgcodecs.hpp>
#include <opencv2/imgproc.hpp>
#include <opencv2/highgui/highgui.hpp>
#include <vector>
#include <set>
#include <OpenCVWrappers.h>
#include <ImageReader.h>
#include "SequenceCapture.h"
#pragma managed
#include <msclr\marshal.h>
#include <msclr\marshal_cppstd.h>
namespace UtilitiesOF {
public ref class SequenceReader
{
private:
// OpenCV based video capture for reading from files
Utilities::SequenceCapture* m_sequence_capture;
OpenCVWrappers::RawImage^ m_rgb_frame;
OpenCVWrappers::RawImage^ m_gray_frame;
public:
// Can provide a directory or a video filename, need to specify which
SequenceReader(System::String^ filename, bool directory)
{
m_sequence_capture = new Utilities::SequenceCapture();
std::string name_std = msclr::interop::marshal_as<std::string>(filename);
bool success;
if(directory)
{
success = m_sequence_capture->OpenImageSequence(name_std);
}
else
{
success = m_sequence_capture->OpenVideoFile(name_std);
}
if (!success)
{
throw gcnew ReadingFailedException("Failed to open an image sequence");
}
}
// Can provide a webcam id
SequenceReader(int webcam_id)
{
m_sequence_capture = new Utilities::SequenceCapture();
bool success = m_sequence_capture->OpenWebcam(webcam_id);
if (!success)
{
throw gcnew ReadingFailedException("Failed to open an image sequence");
}
}
OpenCVWrappers::RawImage^ GetNextImage()
{
cv::Mat next_image = m_sequence_capture->GetNextFrame();
if (m_rgb_frame == nullptr)
{
m_rgb_frame = gcnew OpenCVWrappers::RawImage(next_image.size().width, next_image.size().width, CV_8UC3);
}
next_image.copyTo(m_rgb_frame->Mat);
return m_rgb_frame;
}
System::String^ GetName()
{
std::string filename = m_sequence_capture->name;
return gcnew System::String(filename.c_str());
}
double GetProgress()
{
return m_sequence_capture->GetProgress();
}
float GetFx()
{
return m_sequence_capture->fx;
}
float GetFy()
{
return m_sequence_capture->fy;
}
float GetCx()
{
return m_sequence_capture->cx;
}
float GetCy()
{
return m_sequence_capture->cy;
}
bool IsOpened()
{
return m_sequence_capture->IsOpened();
}
bool IsWebcam()
{
return m_sequence_capture->IsWebcam();
}
double GetFPS()
{
return m_sequence_capture->fps;
}
OpenCVWrappers::RawImage^ GetCurrentFrameGray() {
cv::Mat next_gray_image = m_sequence_capture->GetGrayFrame();
if (m_gray_frame == nullptr)
{
m_gray_frame = gcnew OpenCVWrappers::RawImage(next_gray_image.size().width, next_gray_image.size().width, CV_8UC3);
}
next_gray_image.copyTo(m_gray_frame->Mat);
return m_gray_frame;
}
// Finalizer. Definitely called before Garbage Collection,
// but not automatically called on explicit Dispose().
// May be called multiple times.
!SequenceReader()
{
// Automatically closes capture object before freeing memory.
if (m_sequence_capture != nullptr)
{
delete m_sequence_capture;
}
if (m_rgb_frame != nullptr)
{
delete m_rgb_frame;
}
if (m_gray_frame != nullptr)
{
delete m_gray_frame;
}
}
// Destructor. Called on explicit Dispose() only.
~SequenceReader()
{
this->!SequenceReader();
}
};
}