1216 lines
46 KiB
C#
1216 lines
46 KiB
C#
///////////////////////////////////////////////////////////////////////////////
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// Copyright (C) 2016, Carnegie Mellon University and University of Cambridge,
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// all rights reserved.
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//
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// THIS SOFTWARE IS PROVIDED “AS IS” FOR ACADEMIC USE ONLY AND ANY EXPRESS
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// OR IMPLIED WARRANTIES WARRANTIES, INCLUDING, BUT NOT LIMITED TO,
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// THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
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// PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDERS OR CONTRIBUTORS
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// BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY.
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// OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
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// SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION)
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// HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT,
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// STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN
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// ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
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// POSSIBILITY OF SUCH DAMAGE.
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//
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// Notwithstanding the license granted herein, Licensee acknowledges that certain components
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// of the Software may be covered by so-called “open source” software licenses (“Open Source
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// Components”), which means any software licenses approved as open source licenses by the
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// Open Source Initiative or any substantially similar licenses, including without limitation any
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// license that, as a condition of distribution of the software licensed under such license,
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// requires that the distributor make the software available in source code format. Licensor shall
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// provide a list of Open Source Components for a particular version of the Software upon
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// Licensee’s request. Licensee will comply with the applicable terms of such licenses and to
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// the extent required by the licenses covering Open Source Components, the terms of such
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// licenses will apply in lieu of the terms of this Agreement. To the extent the terms of the
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// licenses applicable to Open Source Components prohibit any of the restrictions in this
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// License Agreement with respect to such Open Source Component, such restrictions will not
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// apply to such Open Source Component. To the extent the terms of the licenses applicable to
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// Open Source Components require Licensor to make an offer to provide source code or
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// related information in connection with the Software, such offer is hereby made. Any request
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// for source code or related information should be directed to cl-face-tracker-distribution@lists.cam.ac.uk
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// Licensee acknowledges receipt of notices for the Open Source Components for the initial
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// delivery of the Software.
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// * Any publications arising from the use of this software, including but
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// not limited to academic journal and conference publications, technical
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// reports and manuals, must cite at least one of the following works:
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//
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// OpenFace: an open source facial behavior analysis toolkit
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// Tadas Baltrušaitis, Peter Robinson, and Louis-Philippe Morency
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// in IEEE Winter Conference on Applications of Computer Vision, 2016
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//
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// Rendering of Eyes for Eye-Shape Registration and Gaze Estimation
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// Erroll Wood, Tadas Baltrušaitis, Xucong Zhang, Yusuke Sugano, Peter Robinson, and Andreas Bulling
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// in IEEE International. Conference on Computer Vision (ICCV), 2015
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//
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// Cross-dataset learning and person-speci?c normalisation for automatic Action Unit detection
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// Tadas Baltrušaitis, Marwa Mahmoud, and Peter Robinson
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// in Facial Expression Recognition and Analysis Challenge,
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// IEEE International Conference on Automatic Face and Gesture Recognition, 2015
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//
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// Constrained Local Neural Fields for robust facial landmark detection in the wild.
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// Tadas Baltrušaitis, Peter Robinson, and Louis-Philippe Morency.
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// in IEEE Int. Conference on Computer Vision Workshops, 300 Faces in-the-Wild Challenge, 2013.
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//
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///////////////////////////////////////////////////////////////////////////////
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using System;
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using System.Collections.Generic;
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using System.Diagnostics;
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using System.Threading;
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using System.Windows;
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using System.Windows.Threading;
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using System.Windows.Media.Imaging;
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using System.IO;
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using Microsoft.Win32;
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// Internal libraries
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using OpenCVWrappers;
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using CppInterop;
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using CppInterop.LandmarkDetector;
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using CameraInterop;
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using FaceAnalyser_Interop;
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using System.Globalization;
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namespace OpenFaceOffline
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{
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/// <summary>
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/// Interaction logic for MainWindow.xaml
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/// </summary>
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public partial class MainWindow : Window
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{
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// Timing for measuring FPS
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#region High-Resolution Timing
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static DateTime startTime;
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static Stopwatch sw = new Stopwatch();
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static MainWindow()
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{
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startTime = DateTime.Now;
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sw.Start();
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}
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public static DateTime CurrentTime
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{
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get { return startTime + sw.Elapsed; }
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}
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#endregion
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// -----------------------------------------------------------------
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// Members
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// -----------------------------------------------------------------
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Thread processing_thread;
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// Some members for displaying the results
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private Capture capture;
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private WriteableBitmap latest_img;
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private WriteableBitmap latest_aligned_face;
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private WriteableBitmap latest_HOG_descriptor;
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// Managing the running of the analysis system
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private volatile bool thread_running;
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private volatile bool thread_paused = false;
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// Allows for going forward in time step by step
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// Useful for visualising things
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private volatile int skip_frames = 0;
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FpsTracker processing_fps = new FpsTracker();
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volatile bool detectionSucceeding = false;
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volatile bool reset = false;
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// For tracking
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FaceModelParameters clnf_params;
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CLNF clnf_model;
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FaceAnalyserManaged face_analyser;
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// Recording parameters (default values)
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bool record_HOG = false; // HOG features extracted from face images
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bool record_aligned = false; // aligned face images
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bool record_tracked_vid = false;
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// Check wich things need to be recorded
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bool record_2D_landmarks = true;
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bool record_3D_landmarks = false;
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bool record_model_params = true;
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bool record_pose = true;
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bool record_AUs = true;
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bool record_gaze = true;
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// Visualisation options
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bool show_tracked_video = true;
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bool show_appearance = true;
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bool show_geometry = true;
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bool show_aus = true;
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// TODO classifiers converted to regressors
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// TODO indication that track is done
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// The recording managers, TODO they should be all one
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StreamWriter output_features_file;
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// Where the recording is done (by default in a record directory, from where the application executed), TODO maybe the same folder as iput?
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String record_root = "./record";
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// For AU visualisation and output
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List<String> au_class_names;
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List<String> au_reg_names;
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// For AU prediction
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bool dynamic_AU_shift = true;
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bool dynamic_AU_scale = false;
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bool use_dynamic_models = true;
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public MainWindow()
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{
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InitializeComponent();
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// Set the icon
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Uri iconUri = new Uri("logo1.ico", UriKind.RelativeOrAbsolute);
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this.Icon = BitmapFrame.Create(iconUri);
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Dispatcher.Invoke(DispatcherPriority.Render, new TimeSpan(0, 0, 0, 0, 2000), (Action)(() =>
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{
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RecordAUCheckBox.IsChecked = record_AUs;
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RecordAlignedCheckBox.IsChecked = record_aligned;
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RecordTrackedVidCheckBox.IsChecked = record_tracked_vid;
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RecordHOGCheckBox.IsChecked = record_HOG;
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RecordGazeCheckBox.IsChecked = record_gaze;
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RecordLandmarks2DCheckBox.IsChecked = record_2D_landmarks;
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RecordLandmarks3DCheckBox.IsChecked = record_3D_landmarks;
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RecordParamsCheckBox.IsChecked = record_model_params;
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RecordPoseCheckBox.IsChecked = record_pose;
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UseDynamicModelsCheckBox.IsChecked = use_dynamic_models;
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UseDynamicScalingCheckBox.IsChecked = dynamic_AU_scale;
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UseDynamicShiftingCheckBox.IsChecked = dynamic_AU_shift;
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}));
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String root = AppDomain.CurrentDomain.BaseDirectory;
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clnf_params = new FaceModelParameters(root, false);
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clnf_model = new CLNF(clnf_params);
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face_analyser = new FaceAnalyserManaged(root, use_dynamic_models);
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}
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// ----------------------------------------------------------
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// Actual work gets done here
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// The main function call for processing images or video files
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private void ProcessingLoop(String[] filenames, int cam_id = -1, int width = -1, int height = -1, bool multi_face = false)
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{
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thread_running = true;
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Dispatcher.Invoke(DispatcherPriority.Render, new TimeSpan(0, 0, 0, 0, 200), (Action)(() =>
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{
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ResetButton.IsEnabled = true;
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PauseButton.IsEnabled = true;
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StopButton.IsEnabled = true;
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}));
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// Create the video capture and call the VideoLoop
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if (filenames != null)
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{
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clnf_params.optimiseForVideo();
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if (cam_id == -2)
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{
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List<String> image_files_all = new List<string>();
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foreach (string image_name in filenames)
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image_files_all.Add(image_name);
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// Loading an image sequence that represents a video
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capture = new Capture(image_files_all);
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if (capture.isOpened())
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{
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// Prepare recording if any based on the directory
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String file_no_ext = System.IO.Path.GetDirectoryName(filenames[0]);
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file_no_ext = System.IO.Path.GetFileName(file_no_ext);
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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);
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// Start the actual processing
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VideoLoop();
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// Clear up the recording
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StopRecording();
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}
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else
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{
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string messageBoxText = "Failed to open an image";
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string caption = "Not valid file";
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MessageBoxButton button = MessageBoxButton.OK;
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MessageBoxImage icon = MessageBoxImage.Warning;
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// Display message box
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MessageBox.Show(messageBoxText, caption, button, icon);
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}
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}
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else if (cam_id == -3)
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{
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SetupImageMode();
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clnf_params.optimiseForImages();
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// Loading an image file (or a number of them)
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foreach (string filename in filenames)
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{
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if (!thread_running)
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{
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continue;
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}
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capture = new Capture(filename);
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if (capture.isOpened())
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{
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// Start the actual processing
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ProcessImage();
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}
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else
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{
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string messageBoxText = "File is not an image or the decoder is not supported.";
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string caption = "Not valid file";
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MessageBoxButton button = MessageBoxButton.OK;
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MessageBoxImage icon = MessageBoxImage.Warning;
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// Display message box
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MessageBox.Show(messageBoxText, caption, button, icon);
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}
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}
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}
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else
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{
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clnf_params.optimiseForVideo();
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// Loading a video file (or a number of them)
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foreach (string filename in filenames)
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{
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if (!thread_running)
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{
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continue;
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}
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capture = new Capture(filename);
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if (capture.isOpened())
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{
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// Prepare recording if any
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String file_no_ext = System.IO.Path.GetFileNameWithoutExtension(filename);
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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);
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// Start the actual processing
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VideoLoop();
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// Clear up the recording
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StopRecording();
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}
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else
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{
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string messageBoxText = "File is not a video or the codec is not supported.";
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string caption = "Not valid file";
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MessageBoxButton button = MessageBoxButton.OK;
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MessageBoxImage icon = MessageBoxImage.Warning;
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// Display message box
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MessageBox.Show(messageBoxText, caption, button, icon);
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}
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}
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}
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}
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// TODO this should be up a level
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// Some GUI clean up
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Dispatcher.Invoke(DispatcherPriority.Render, new TimeSpan(0, 0, 0, 0, 200), (Action)(() =>
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{
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Console.WriteLine("Cleaning up after processing is done");
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PauseButton.IsEnabled = false;
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StopButton.IsEnabled = false;
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ResetButton.IsEnabled = false;
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NextFiveFramesButton.IsEnabled = false;
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NextFrameButton.IsEnabled = false;
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}));
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}
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// Capturing and processing the video frame by frame
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private void ProcessImage()
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{
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Thread.CurrentThread.IsBackground = true;
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clnf_model.Reset();
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face_analyser.Reset();
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//////////////////////////////////////////////
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// CAPTURE FRAME AND DETECT LANDMARKS FOLLOWED BY THE REQUIRED IMAGE PROCESSING
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//////////////////////////////////////////////
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RawImage frame = null;
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double progress = -1;
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frame = new RawImage(capture.GetNextFrame(false));
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progress = capture.GetProgress();
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if (frame.Width == 0)
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{
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// This indicates that we reached the end of the video file
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return;
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}
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var grayFrame = new RawImage(capture.GetCurrentFrameGray());
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if (grayFrame == null)
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{
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Console.WriteLine("Gray is empty");
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return;
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}
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List<List<Tuple<double, double>>> landmark_detections = ProcessImage(clnf_model, clnf_params, frame, grayFrame);
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List<Point> landmark_points = new List<Point>();
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for (int i = 0; i < landmark_detections.Count; ++i)
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{
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List<Tuple<double, double>> landmarks = landmark_detections[i];
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foreach (var p in landmarks)
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{
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landmark_points.Add(new Point(p.Item1, p.Item2));
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}
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}
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// Visualisation
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Dispatcher.Invoke(DispatcherPriority.Render, new TimeSpan(0, 0, 0, 0, 200), (Action)(() =>
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{
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if (show_tracked_video)
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{
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if (latest_img == null)
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{
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latest_img = frame.CreateWriteableBitmap();
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}
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frame.UpdateWriteableBitmap(latest_img);
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video.Source = latest_img;
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video.Confidence = 1;
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video.FPS = processing_fps.GetFPS();
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video.Progress = progress;
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video.OverlayLines = new List<Tuple<Point, Point>>();
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video.OverlayPoints = landmark_points;
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}
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}));
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latest_img = null;
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}
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// Capturing and processing the video frame by frame
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private void VideoLoop()
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{
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Thread.CurrentThread.IsBackground = true;
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DateTime? startTime = CurrentTime;
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var lastFrameTime = CurrentTime;
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clnf_model.Reset();
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face_analyser.Reset();
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// TODO add an ability to change these through a calibration procedure or setting menu
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double fx, fy, cx, cy;
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fx = 500.0;
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fy = 500.0;
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cx = cy = -1;
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int frame_id = 0;
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double fps = capture.GetFPS();
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if (fps <= 0) fps = 30;
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while (thread_running)
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{
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//////////////////////////////////////////////
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// CAPTURE FRAME AND DETECT LANDMARKS FOLLOWED BY THE REQUIRED IMAGE PROCESSING
|
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//////////////////////////////////////////////
|
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RawImage frame = null;
|
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double progress = -1;
|
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|
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frame = new RawImage(capture.GetNextFrame(false));
|
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progress = capture.GetProgress();
|
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|
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if (frame.Width == 0)
|
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{
|
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// This indicates that we reached the end of the video file
|
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break;
|
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}
|
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|
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// TODO stop button should actually clear the video
|
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lastFrameTime = CurrentTime;
|
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processing_fps.AddFrame();
|
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var grayFrame = new RawImage(capture.GetCurrentFrameGray());
|
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|
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if (grayFrame == null)
|
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{
|
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Console.WriteLine("Gray is empty");
|
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continue;
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}
|
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|
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// This is more ore less guess work, but seems to work well enough
|
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if (cx == -1)
|
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{
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fx = fx * (grayFrame.Width / 640.0);
|
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fy = fy * (grayFrame.Height / 480.0);
|
||
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fx = (fx + fy) / 2.0;
|
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fy = fx;
|
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|
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cx = grayFrame.Width / 2f;
|
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cy = grayFrame.Height / 2f;
|
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}
|
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|
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bool detectionSucceeding = ProcessFrame(clnf_model, clnf_params, frame, grayFrame, fx, fy, cx, cy);
|
||
|
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double scale = clnf_model.GetRigidParams()[0];
|
||
|
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double confidence = (-clnf_model.GetConfidence()) / 2.0 + 0.5;
|
||
|
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if (confidence < 0)
|
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confidence = 0;
|
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else if (confidence > 1)
|
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confidence = 1;
|
||
|
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List<double> pose = new List<double>();
|
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clnf_model.GetPose(pose, fx, fy, cx, cy);
|
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List<double> non_rigid_params = clnf_model.GetNonRigidParams();
|
||
|
||
// The face analysis step (only done if recording AUs, HOGs or video)
|
||
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, show_appearance, record_tracked_vid);
|
||
}
|
||
|
||
List<Tuple<Point, Point>> lines = null;
|
||
List<Tuple<double, double>> landmarks = null;
|
||
List<Tuple<double, double>> eye_landmarks = null;
|
||
List<Tuple<Point, Point>> gaze_lines = null;
|
||
Tuple<double, double> gaze_angle = new Tuple<double, double>(0,0);
|
||
|
||
if (detectionSucceeding)
|
||
{
|
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landmarks = clnf_model.CalculateLandmarks();
|
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eye_landmarks = clnf_model.CalculateEyeLandmarks();
|
||
lines = clnf_model.CalculateBox((float)fx, (float)fy, (float)cx, (float)cy);
|
||
gaze_lines = face_analyser.CalculateGazeLines(scale, (float)fx, (float)fy, (float)cx, (float)cy);
|
||
gaze_angle = face_analyser.GetGazeAngle();
|
||
}
|
||
|
||
// Visualisation
|
||
Dispatcher.Invoke(DispatcherPriority.Render, new TimeSpan(0, 0, 0, 0, 200), (Action)(() =>
|
||
{
|
||
if (show_aus)
|
||
{
|
||
var au_classes = face_analyser.GetCurrentAUsClass();
|
||
var au_regs = face_analyser.GetCurrentAUsReg();
|
||
|
||
auClassGraph.Update(au_classes);
|
||
|
||
var au_regs_scaled = new Dictionary<String, double>();
|
||
foreach (var au_reg in au_regs)
|
||
{
|
||
au_regs_scaled[au_reg.Key] = au_reg.Value / 5.0;
|
||
if (au_regs_scaled[au_reg.Key] < 0)
|
||
au_regs_scaled[au_reg.Key] = 0;
|
||
|
||
if (au_regs_scaled[au_reg.Key] > 1)
|
||
au_regs_scaled[au_reg.Key] = 1;
|
||
}
|
||
auRegGraph.Update(au_regs_scaled);
|
||
}
|
||
|
||
if (show_geometry)
|
||
{
|
||
int yaw = (int)(pose[4] * 180 / Math.PI + 0.5);
|
||
int roll = (int)(pose[5] * 180 / Math.PI + 0.5);
|
||
int pitch = (int)(pose[3] * 180 / Math.PI + 0.5);
|
||
|
||
YawLabel.Content = yaw + "°";
|
||
RollLabel.Content = roll + "°";
|
||
PitchLabel.Content = pitch + "°";
|
||
|
||
XPoseLabel.Content = (int)pose[0] + " mm";
|
||
YPoseLabel.Content = (int)pose[1] + " mm";
|
||
ZPoseLabel.Content = (int)pose[2] + " mm";
|
||
|
||
nonRigidGraph.Update(non_rigid_params);
|
||
|
||
// Update eye gaze
|
||
GazeXLabel.Content = gaze_angle.Item1 * (180.0/ Math.PI);
|
||
GazeYLabel.Content = gaze_angle.Item2 * (180.0 / Math.PI);
|
||
|
||
}
|
||
|
||
if (show_tracked_video)
|
||
{
|
||
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.OverlayEyePoints.Clear();
|
||
video.GazeLines.Clear();
|
||
}
|
||
else
|
||
{
|
||
video.OverlayLines = lines;
|
||
|
||
List<Point> landmark_points = new List<Point>();
|
||
foreach (var p in landmarks)
|
||
{
|
||
landmark_points.Add(new Point(p.Item1, p.Item2));
|
||
}
|
||
|
||
List<Point> eye_landmark_points = new List<Point>();
|
||
foreach (var p in eye_landmarks)
|
||
{
|
||
eye_landmark_points.Add(new Point(p.Item1, p.Item2));
|
||
}
|
||
|
||
|
||
video.OverlayPoints = landmark_points;
|
||
video.OverlayEyePoints = eye_landmark_points;
|
||
video.GazeLines = gaze_lines;
|
||
}
|
||
}
|
||
|
||
if (show_appearance)
|
||
{
|
||
RawImage aligned_face = face_analyser.GetLatestAlignedFace();
|
||
RawImage hog_face = face_analyser.GetLatestHOGDescriptorVisualisation();
|
||
|
||
if (latest_aligned_face == null)
|
||
{
|
||
latest_aligned_face = aligned_face.CreateWriteableBitmap();
|
||
latest_HOG_descriptor = hog_face.CreateWriteableBitmap();
|
||
}
|
||
|
||
aligned_face.UpdateWriteableBitmap(latest_aligned_face);
|
||
hog_face.UpdateWriteableBitmap(latest_HOG_descriptor);
|
||
|
||
AlignedFace.Source = latest_aligned_face;
|
||
AlignedHOG.Source = latest_HOG_descriptor;
|
||
}
|
||
}));
|
||
|
||
// Recording the tracked model
|
||
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)
|
||
{
|
||
clnf_model.Reset();
|
||
face_analyser.Reset();
|
||
reset = false;
|
||
}
|
||
|
||
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);
|
||
}));
|
||
}
|
||
}
|
||
|
||
private void StopTracking()
|
||
{
|
||
// First complete the running of the thread
|
||
if (processing_thread != null)
|
||
{
|
||
// Tell the other thread to finish
|
||
thread_running = false;
|
||
processing_thread.Join();
|
||
}
|
||
}
|
||
|
||
|
||
|
||
// ----------------------------------------------------------
|
||
// Interacting with landmark detection and face analysis
|
||
|
||
private bool ProcessFrame(CLNF clnf_model, FaceModelParameters clnf_params, RawImage frame, RawImage grayscale_frame, double fx, double fy, double cx, double cy)
|
||
{
|
||
detectionSucceeding = clnf_model.DetectLandmarksInVideo(grayscale_frame, clnf_params);
|
||
return detectionSucceeding;
|
||
|
||
}
|
||
|
||
private List<List<Tuple<double, double>>> ProcessImage(CLNF clnf_model, FaceModelParameters clnf_params, RawImage frame, RawImage grayscale_frame)
|
||
{
|
||
List<List<Tuple<double, double>>> landmark_detections = clnf_model.DetectMultiFaceLandmarksInImage(grayscale_frame, clnf_params);
|
||
return landmark_detections;
|
||
|
||
}
|
||
|
||
|
||
// ----------------------------------------------------------
|
||
// Recording helpers (TODO simplify)
|
||
|
||
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_2_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)
|
||
// ----------------------------------------------------------
|
||
private void SetupImageMode()
|
||
{
|
||
// Turn off recording
|
||
record_aligned = false;
|
||
record_HOG = false;
|
||
record_tracked_vid = false;
|
||
|
||
// Turn off unneeded visualisations
|
||
show_tracked_video = true;
|
||
show_appearance = false;
|
||
show_geometry = false;
|
||
show_aus = false;
|
||
|
||
// Actually update the GUI accordingly
|
||
Dispatcher.Invoke(DispatcherPriority.Render, new TimeSpan(0, 0, 0, 0, 2000), (Action)(() =>
|
||
{
|
||
RecordAUCheckBox.IsChecked = record_AUs;
|
||
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?
|
||
}
|
||
|
||
|
||
// ----------------------------------------------------------
|
||
// Opening Videos/Images
|
||
// ----------------------------------------------------------
|
||
|
||
private void videoFileOpenClick(object sender, RoutedEventArgs e)
|
||
{
|
||
new Thread(() => openVideoFile()).Start();
|
||
}
|
||
|
||
private void openVideoFile()
|
||
{
|
||
StopTracking();
|
||
|
||
Dispatcher.Invoke(DispatcherPriority.Render, new TimeSpan(0, 0, 0, 2, 0), (Action)(() =>
|
||
{
|
||
var d = new OpenFileDialog();
|
||
d.Multiselect = true;
|
||
d.Filter = "Video files|*.avi;*.wmv;*.mov;*.mpg;*.mpeg;*.mp4";
|
||
|
||
if (d.ShowDialog(this) == true)
|
||
{
|
||
|
||
string[] video_files = d.FileNames;
|
||
|
||
processing_thread = new Thread(() => ProcessingLoop(video_files));
|
||
processing_thread.Start();
|
||
|
||
}
|
||
}));
|
||
}
|
||
|
||
|
||
private void imageFileOpenClick(object sender, RoutedEventArgs e)
|
||
{
|
||
new Thread(() => imageOpen()).Start();
|
||
}
|
||
|
||
private void imageOpen()
|
||
{
|
||
StopTracking();
|
||
|
||
Dispatcher.Invoke(DispatcherPriority.Render, new TimeSpan(0, 0, 0, 2, 0), (Action)(() =>
|
||
{
|
||
var d = new OpenFileDialog();
|
||
d.Multiselect = true;
|
||
d.Filter = "Image files|*.jpg;*.jpeg;*.bmp;*.png;*.gif";
|
||
|
||
if (d.ShowDialog(this) == true)
|
||
{
|
||
|
||
string[] image_files = d.FileNames;
|
||
|
||
processing_thread = new Thread(() => ProcessingLoop(image_files, -3));
|
||
processing_thread.Start();
|
||
|
||
}
|
||
}));
|
||
}
|
||
|
||
private void imageSequenceFileOpenClick(object sender, RoutedEventArgs e)
|
||
{
|
||
new Thread(() => imageSequenceOpen()).Start();
|
||
}
|
||
|
||
private void imageSequenceOpen()
|
||
{
|
||
StopTracking();
|
||
|
||
Dispatcher.Invoke(DispatcherPriority.Render, new TimeSpan(0, 0, 0, 2, 0), (Action)(() =>
|
||
{
|
||
var d = new OpenFileDialog();
|
||
d.Multiselect = true;
|
||
d.Filter = "Image files|*.jpg;*.jpeg;*.bmp;*.png;*.gif";
|
||
|
||
if (d.ShowDialog(this) == true)
|
||
{
|
||
|
||
string[] image_files = d.FileNames;
|
||
|
||
processing_thread = new Thread(() => ProcessingLoop(image_files, -2));
|
||
processing_thread.Start();
|
||
|
||
}
|
||
}));
|
||
}
|
||
|
||
// --------------------------------------------------------
|
||
// Button handling
|
||
// --------------------------------------------------------
|
||
|
||
// Cleanup stuff when closing the window
|
||
private void Window_Closing(object sender, System.ComponentModel.CancelEventArgs e)
|
||
{
|
||
if (processing_thread != null)
|
||
{
|
||
// Stop capture and tracking
|
||
thread_running = false;
|
||
processing_thread.Join();
|
||
|
||
capture.Dispose();
|
||
}
|
||
face_analyser.Dispose();
|
||
}
|
||
|
||
// Stopping the tracking
|
||
private void StopButton_Click(object sender, RoutedEventArgs e)
|
||
{
|
||
if (processing_thread != null)
|
||
{
|
||
// Stop capture and tracking
|
||
thread_paused = false;
|
||
thread_running = false;
|
||
processing_thread.Join();
|
||
|
||
PauseButton.IsEnabled = false;
|
||
NextFrameButton.IsEnabled = false;
|
||
NextFiveFramesButton.IsEnabled = false;
|
||
StopButton.IsEnabled = false;
|
||
ResetButton.IsEnabled = false;
|
||
RecordingMenu.IsEnabled = true;
|
||
|
||
UseDynamicModelsCheckBox.IsEnabled = true;
|
||
}
|
||
}
|
||
|
||
// Resetting the tracker
|
||
private void ResetButton_Click(object sender, RoutedEventArgs e)
|
||
{
|
||
if (processing_thread != null)
|
||
{
|
||
// Stop capture and tracking
|
||
reset = true;
|
||
}
|
||
}
|
||
|
||
private void PauseButton_Click(object sender, RoutedEventArgs e)
|
||
{
|
||
if (processing_thread != null)
|
||
{
|
||
// Stop capture and tracking
|
||
thread_paused = !thread_paused;
|
||
|
||
ResetButton.IsEnabled = !thread_paused;
|
||
|
||
NextFrameButton.IsEnabled = thread_paused;
|
||
NextFiveFramesButton.IsEnabled = thread_paused;
|
||
|
||
if (thread_paused)
|
||
{
|
||
PauseButton.Content = "Resume";
|
||
}
|
||
else
|
||
{
|
||
PauseButton.Content = "Pause";
|
||
}
|
||
}
|
||
}
|
||
|
||
private void SkipButton_Click(object sender, RoutedEventArgs e)
|
||
{
|
||
if (sender.Equals(NextFrameButton))
|
||
{
|
||
skip_frames += 1;
|
||
}
|
||
else if (sender.Equals(NextFiveFramesButton))
|
||
{
|
||
skip_frames += 5;
|
||
}
|
||
}
|
||
|
||
|
||
private void VisualisationCheckBox_Click(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
|
||
if (!show_tracked_video)
|
||
{
|
||
VideoBorder.Visibility = System.Windows.Visibility.Collapsed;
|
||
MainGrid.ColumnDefinitions[0].Width = new GridLength(0, GridUnitType.Star);
|
||
}
|
||
else
|
||
{
|
||
VideoBorder.Visibility = System.Windows.Visibility.Visible;
|
||
MainGrid.ColumnDefinitions[0].Width = new GridLength(2.1, GridUnitType.Star);
|
||
}
|
||
|
||
if (!show_appearance)
|
||
{
|
||
AppearanceBorder.Visibility = System.Windows.Visibility.Collapsed;
|
||
MainGrid.ColumnDefinitions[1].Width = new GridLength(0, GridUnitType.Star);
|
||
}
|
||
else
|
||
{
|
||
AppearanceBorder.Visibility = System.Windows.Visibility.Visible;
|
||
MainGrid.ColumnDefinitions[1].Width = new GridLength(0.8, GridUnitType.Star);
|
||
}
|
||
|
||
// Collapsing or restoring the windows here
|
||
if (!show_geometry)
|
||
{
|
||
GeometryBorder.Visibility = System.Windows.Visibility.Collapsed;
|
||
MainGrid.ColumnDefinitions[2].Width = new GridLength(0, GridUnitType.Star);
|
||
}
|
||
else
|
||
{
|
||
GeometryBorder.Visibility = System.Windows.Visibility.Visible;
|
||
MainGrid.ColumnDefinitions[2].Width = new GridLength(1.0, GridUnitType.Star);
|
||
}
|
||
|
||
// Collapsing or restoring the windows here
|
||
if (!show_aus)
|
||
{
|
||
ActionUnitBorder.Visibility = System.Windows.Visibility.Collapsed;
|
||
MainGrid.ColumnDefinitions[3].Width = new GridLength(0, GridUnitType.Star);
|
||
}
|
||
else
|
||
{
|
||
ActionUnitBorder.Visibility = System.Windows.Visibility.Visible;
|
||
MainGrid.ColumnDefinitions[3].Width = new GridLength(1.6, GridUnitType.Star);
|
||
}
|
||
|
||
}
|
||
|
||
|
||
private void 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)
|
||
{
|
||
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
|
||
String root = AppDomain.CurrentDomain.BaseDirectory;
|
||
face_analyser = new FaceAnalyserManaged(root, UseDynamicModelsCheckBox.IsChecked);
|
||
}
|
||
use_dynamic_models = UseDynamicModelsCheckBox.IsChecked;
|
||
}
|
||
|
||
}
|
||
}
|