970 lines
38 KiB
C#
970 lines
38 KiB
C#
///////////////////////////////////////////////////////////////////////////////
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// Copyright (C) 2017, Carnegie Mellon University and University of Cambridge,
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// all rights reserved.
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//
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// ACADEMIC OR NON-PROFIT ORGANIZATION NONCOMMERCIAL RESEARCH USE ONLY
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//
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// BY USING OR DOWNLOADING THE SOFTWARE, YOU ARE AGREEING TO THE TERMS OF THIS LICENSE AGREEMENT.
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// IF YOU DO NOT AGREE WITH THESE TERMS, YOU MAY NOT USE OR DOWNLOAD THE SOFTWARE.
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//
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// License can be found in OpenFace-license.txt
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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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// Internal libraries
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using OpenCVWrappers;
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using CppInterop.LandmarkDetector;
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using FaceAnalyser_Interop;
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using GazeAnalyser_Interop;
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using FaceDetectorInterop;
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using UtilitiesOF;
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using Microsoft.WindowsAPICodePack.Dialogs;
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using System.Windows.Forms;
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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 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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// For selecting webcams
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CameraSelection cam_sec;
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// For tracking
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FaceDetector face_detector;
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FaceModelParameters face_model_params;
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CLNF landmark_detector;
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// For face analysis
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FaceAnalyserManaged face_analyser;
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GazeAnalyserManaged gaze_analyser;
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public bool RecordAligned { get; set; } = false; // Aligned face images
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public bool RecordHOG { get; set; } = false; // HOG features extracted from face images
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public bool Record2DLandmarks { get; set; } = true; // 2D locations of facial landmarks (in pixels)
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public bool Record3DLandmarks { get; set; } = true; // 3D locations of facial landmarks (in pixels)
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public bool RecordModelParameters { get; set; } = true; // Facial shape parameters (rigid and non-rigid geometry)
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public bool RecordPose { get; set; } = true; // Head pose (position and orientation)
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public bool RecordAUs { get; set; } = true; // Facial action units
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public bool RecordGaze { get; set; } = true; // Eye gaze
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public bool RecordTracked { get; set; } = true; // Recording tracked videos or images
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// Visualisation options
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public bool ShowTrackedVideo { get; set; } = true; // Showing the actual tracking
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public bool ShowAppearance { get; set; } = true; // Showing appeaance features like HOG
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public bool ShowGeometry { get; set; } = true; // Showing geometry features, pose, gaze, and non-rigid
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public bool ShowAUs { get; set; } = true; // Showing Facial Action Units
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int image_output_size = 112;
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// Where the recording is done (by default in a record directory, from where the application executed)
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String record_root = "./processed";
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// For AU prediction, if videos are long dynamic models should be used
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public bool DynamicAUModels { get; set; } = true;
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// Camera calibration parameters
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public float fx = -1, fy = -1, cx = -1, cy = -1;
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public MainWindow()
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{
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InitializeComponent();
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this.DataContext = this; // For WPF data binding
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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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String root = AppDomain.CurrentDomain.BaseDirectory;
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face_model_params = new FaceModelParameters(root, false);
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landmark_detector = new CLNF(face_model_params);
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gaze_analyser = new GazeAnalyserManaged();
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}
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// ----------------------------------------------------------
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// Actual work gets done here
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// Wrapper for processing multiple sequences
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private void ProcessSequences(List<String> filenames)
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{
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for (int i = 0; i < filenames.Count; ++i)
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{
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SequenceReader reader = new SequenceReader(filenames[i], false, fx, fy, cx, cy);
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ProcessSequence(reader);
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// Before continuing to next video make sure the user did not stop the processing
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if (!thread_running)
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{
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break;
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}
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}
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}
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// The main function call for processing sequences
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private void ProcessSequence(SequenceReader reader)
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{
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Thread.CurrentThread.Priority = ThreadPriority.Highest;
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SetupFeatureExtractionMode();
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thread_running = true;
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face_model_params.optimiseForVideo();
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// Setup the visualization
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Visualizer visualizer_of = new Visualizer(ShowTrackedVideo || RecordTracked, ShowAppearance, ShowAppearance);
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// Initialize the face analyser
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face_analyser = new FaceAnalyserManaged(AppDomain.CurrentDomain.BaseDirectory, DynamicAUModels, image_output_size);
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// Reset the tracker
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landmark_detector.Reset();
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// Loading an image file
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var frame = new RawImage(reader.GetNextImage());
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var gray_frame = new RawImage(reader.GetCurrentFrameGray());
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// Setup recording
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RecorderOpenFaceParameters rec_params = new RecorderOpenFaceParameters(true, reader.IsWebcam(),
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Record2DLandmarks, Record3DLandmarks, RecordModelParameters, RecordPose, RecordAUs,
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RecordGaze, RecordHOG, RecordTracked, RecordAligned,
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reader.GetFx(), reader.GetFy(), reader.GetCx(), reader.GetCy(), reader.GetFPS());
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RecorderOpenFace recorder = new RecorderOpenFace(reader.GetName(), rec_params, record_root);
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// For FPS tracking
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DateTime? startTime = CurrentTime;
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var lastFrameTime = CurrentTime;
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// Empty image would indicate that the stream is over
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while (gray_frame.Width != 0)
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{
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if(!thread_running)
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{
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break;
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}
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double progress = reader.GetProgress();
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bool detection_succeeding = landmark_detector.DetectLandmarksInVideo(gray_frame, face_model_params);
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// The face analysis step (for AUs and eye gaze)
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face_analyser.AddNextFrame(frame, landmark_detector.CalculateAllLandmarks(), detection_succeeding, false);
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gaze_analyser.AddNextFrame(landmark_detector, detection_succeeding, reader.GetFx(), reader.GetFy(), reader.GetCx(), reader.GetCy());
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// Only the final face will contain the details
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VisualizeFeatures(frame, visualizer_of, landmark_detector.CalculateAllLandmarks(), landmark_detector.GetVisibilities(), detection_succeeding, true, reader.GetFx(), reader.GetFy(), reader.GetCx(), reader.GetCy(), progress);
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// Record an observation
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RecordObservation(recorder, visualizer_of.GetVisImage(), detection_succeeding, reader.GetFx(), reader.GetFy(), reader.GetCx(), reader.GetCy(), reader.GetTimestamp());
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while (thread_running & thread_paused && skip_frames == 0)
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{
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Thread.Sleep(10);
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}
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if (skip_frames > 0)
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skip_frames--;
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frame = new RawImage(reader.GetNextImage());
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gray_frame = new RawImage(reader.GetCurrentFrameGray());
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lastFrameTime = CurrentTime;
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processing_fps.AddFrame();
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}
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// Finalize the recording and flush to disk
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recorder.Close();
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// Post-process the AU recordings
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if(RecordAUs)
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{
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face_analyser.PostProcessOutputFile(recorder.GetCSVFile());
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}
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// Close the open video/webcam
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reader.Close();
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EndMode();
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}
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private void ProcessIndividualImages(ImageReader reader)
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{
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// Make sure the GUI is setup appropriately
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SetupFeatureExtractionMode();
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// Indicate we will start running the thread
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thread_running = true;
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// Setup the parameters optimized for working on individual images rather than sequences
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face_model_params.optimiseForImages();
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// Setup the visualization
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Visualizer visualizer_of = new Visualizer(ShowTrackedVideo || RecordTracked, ShowAppearance, ShowAppearance);
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// Initialize the face detector if it has not been initialized yet
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if (face_detector == null)
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{
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face_detector = new FaceDetector();
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}
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// Initialize the face analyser
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face_analyser = new FaceAnalyserManaged(AppDomain.CurrentDomain.BaseDirectory, DynamicAUModels, image_output_size);
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// Loading an image file
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var frame = new RawImage(reader.GetNextImage());
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var gray_frame = new RawImage(reader.GetCurrentFrameGray());
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// For FPS tracking
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DateTime? startTime = CurrentTime;
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var lastFrameTime = CurrentTime;
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// This will be false when the image is not available
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while (reader.isOpened())
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{
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if (!thread_running)
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{
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break;
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}
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// Setup recording
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RecorderOpenFaceParameters rec_params = new RecorderOpenFaceParameters(false, false,
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Record2DLandmarks, Record3DLandmarks, RecordModelParameters, RecordPose, RecordAUs,
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RecordGaze, RecordHOG, RecordTracked, RecordAligned,
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reader.GetFx(), reader.GetFy(), reader.GetCx(), reader.GetCy(), 0);
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RecorderOpenFace recorder = new RecorderOpenFace(reader.GetName(), rec_params, record_root);
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// Detect faces here and return bounding boxes
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List<Rect> face_detections = new List<Rect>();
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List<double> confidences = new List<double>();
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face_detector.DetectFacesHOG(face_detections, gray_frame, confidences);
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// For visualization
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double progress = reader.GetProgress();
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for (int i = 0; i < face_detections.Count; ++i)
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{
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bool detection_succeeding = landmark_detector.DetectFaceLandmarksInImage(gray_frame, face_detections[i], face_model_params);
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var landmarks = landmark_detector.CalculateAllLandmarks();
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// Predict action units
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var au_preds = face_analyser.PredictStaticAUsAndComputeFeatures(frame, landmarks);
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// Predic eye gaze
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gaze_analyser.AddNextFrame(landmark_detector, detection_succeeding, reader.GetFx(), reader.GetFy(), reader.GetCx(), reader.GetCy());
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// Only the final face will contain the details
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VisualizeFeatures(frame, visualizer_of, landmarks, landmark_detector.GetVisibilities(), detection_succeeding, i == 0, reader.GetFx(), reader.GetFy(), reader.GetCx(), reader.GetCy(), progress);
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// Record an observation
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RecordObservation(recorder, visualizer_of.GetVisImage(), detection_succeeding, reader.GetFx(), reader.GetFy(), reader.GetCx(), reader.GetCy(), 0);
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}
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frame = new RawImage(reader.GetNextImage());
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gray_frame = new RawImage(reader.GetCurrentFrameGray());
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// Do not cary state accross images
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landmark_detector.Reset();
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face_analyser.Reset();
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recorder.Close();
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lastFrameTime = CurrentTime;
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processing_fps.AddFrame();
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// TODO how to report errors from the reader here? exceptions? logging? Problem for future versions?
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}
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EndMode();
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}
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private void RecordObservation(RecorderOpenFace recorder, RawImage vis_image, bool success, float fx, float fy, float cx, float cy, double timestamp)
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{
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recorder.SetObservationTimestamp(timestamp);
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double confidence = landmark_detector.GetConfidence();
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List<double> pose = new List<double>();
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landmark_detector.GetPose(pose, fx, fy, cx, cy);
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recorder.SetObservationPose(pose);
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List<Tuple<double, double>> landmarks_2D = landmark_detector.CalculateAllLandmarks();
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List<Tuple<double, double, double>> landmarks_3D = landmark_detector.Calculate3DLandmarks(fx, fy, cx, cy);
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List<double> global_params = landmark_detector.GetRigidParams();
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List<double> local_params = landmark_detector.GetNonRigidParams();
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recorder.SetObservationLandmarks(landmarks_2D, landmarks_3D, global_params, local_params, confidence, success);
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var gaze = gaze_analyser.GetGazeCamera();
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var gaze_angle = gaze_analyser.GetGazeAngle();
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var landmarks_2d_eyes = landmark_detector.CalculateAllEyeLandmarks();
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var landmarks_3d_eyes = landmark_detector.CalculateAllEyeLandmarks3D(fx, fy, cx, cy);
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recorder.SetObservationGaze(gaze.Item1, gaze.Item2, gaze_angle, landmarks_2d_eyes, landmarks_3d_eyes);
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var au_regs = face_analyser.GetCurrentAUsReg();
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var au_classes = face_analyser.GetCurrentAUsClass();
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recorder.SetObservationActionUnits(au_regs, au_classes);
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recorder.SetObservationFaceAlign(face_analyser.GetLatestAlignedFace());
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var hog_feature = face_analyser.GetLatestHOGFeature();
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recorder.SetObservationHOG(success, hog_feature, face_analyser.GetHOGRows(), face_analyser.GetHOGCols(), face_analyser.GetHOGChannels());
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recorder.SetObservationVisualization(vis_image);
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recorder.WriteObservation();
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}
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private void VisualizeFeatures(RawImage frame, Visualizer visualizer, List<Tuple<double, double>> landmarks, List<bool> visibilities, bool detection_succeeding,
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bool new_image, float fx, float fy, float cx, float cy, double progress)
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{
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List<Tuple<Point, Point>> lines = null;
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List<Tuple<double, double>> eye_landmarks = null;
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List<Tuple<Point, Point>> gaze_lines = null;
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Tuple<double, double> gaze_angle = new Tuple<double, double>(0, 0);
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List<double> pose = new List<double>();
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landmark_detector.GetPose(pose, fx, fy, cx, cy);
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List<double> non_rigid_params = landmark_detector.GetNonRigidParams();
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double confidence = landmark_detector.GetConfidence();
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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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double scale = landmark_detector.GetRigidParams()[0];
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// Helps with recording and showing the visualizations
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if (new_image)
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{
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visualizer.SetImage(frame, fx, fy, cx, cy);
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}
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visualizer.SetObservationHOG(face_analyser.GetLatestHOGFeature(), face_analyser.GetHOGRows(), face_analyser.GetHOGCols());
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visualizer.SetObservationLandmarks(landmarks, confidence, visibilities);
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visualizer.SetObservationPose(pose, confidence);
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visualizer.SetObservationGaze(gaze_analyser.GetGazeCamera().Item1, gaze_analyser.GetGazeCamera().Item2, landmark_detector.CalculateAllEyeLandmarks(), landmark_detector.CalculateAllEyeLandmarks3D(fx, fy, cx, cy), confidence);
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if (detection_succeeding)
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{
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eye_landmarks = landmark_detector.CalculateVisibleEyeLandmarks();
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lines = landmark_detector.CalculateBox(fx, fy, cx, cy);
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gaze_lines = gaze_analyser.CalculateGazeLines(fx, fy, cx, cy);
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gaze_angle = gaze_analyser.GetGazeAngle();
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}
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// Visualisation (as a separate function)
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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 (ShowAUs)
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{
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var au_classes = face_analyser.GetCurrentAUsClass();
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var au_regs = face_analyser.GetCurrentAUsReg();
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auClassGraph.Update(au_classes);
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var au_regs_scaled = new Dictionary<String, double>();
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foreach (var au_reg in au_regs)
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{
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au_regs_scaled[au_reg.Key] = au_reg.Value / 5.0;
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if (au_regs_scaled[au_reg.Key] < 0)
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au_regs_scaled[au_reg.Key] = 0;
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if (au_regs_scaled[au_reg.Key] > 1)
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au_regs_scaled[au_reg.Key] = 1;
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}
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auRegGraph.Update(au_regs_scaled);
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}
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if (ShowGeometry)
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{
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int yaw = (int)(pose[4] * 180 / Math.PI + 0.5);
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int roll = (int)(pose[5] * 180 / Math.PI + 0.5);
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int pitch = (int)(pose[3] * 180 / Math.PI + 0.5);
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YawLabel.Content = yaw + "°";
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RollLabel.Content = roll + "°";
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PitchLabel.Content = pitch + "°";
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XPoseLabel.Content = (int)pose[0] + " mm";
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YPoseLabel.Content = (int)pose[1] + " mm";
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ZPoseLabel.Content = (int)pose[2] + " mm";
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nonRigidGraph.Update(non_rigid_params);
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// Update eye gaze
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String x_angle = String.Format("{0:F0}°", gaze_angle.Item1 * (180.0 / Math.PI));
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String y_angle = String.Format("{0:F0}°", gaze_angle.Item2 * (180.0 / Math.PI));
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GazeXLabel.Content = x_angle;
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GazeYLabel.Content = y_angle;
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}
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if (ShowTrackedVideo)
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{
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if (new_image)
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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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|
overlay_image.Source = latest_img;
|
|
overlay_image.Confidence = confidence;
|
|
overlay_image.FPS = processing_fps.GetFPS();
|
|
overlay_image.Progress = progress;
|
|
overlay_image.FaceScale = scale;
|
|
|
|
if (!detection_succeeding)
|
|
{
|
|
overlay_image.OverlayLines.Clear();
|
|
overlay_image.OverlayPoints.Clear();
|
|
overlay_image.OverlayPointsVisibility.Clear();
|
|
overlay_image.OverlayEyePoints.Clear();
|
|
overlay_image.GazeLines.Clear();
|
|
}
|
|
else
|
|
{
|
|
|
|
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));
|
|
}
|
|
|
|
|
|
if (new_image)
|
|
{
|
|
overlay_image.OverlayLines = lines;
|
|
overlay_image.OverlayPoints = landmark_points;
|
|
overlay_image.OverlayPointsVisibility = visibilities;
|
|
overlay_image.OverlayEyePoints = eye_landmark_points;
|
|
overlay_image.GazeLines = gaze_lines;
|
|
}
|
|
else
|
|
{
|
|
// In case of multiple faces just add them to the existing drawing list
|
|
overlay_image.OverlayLines.AddRange(lines.GetRange(0, lines.Count));
|
|
overlay_image.OverlayPoints.AddRange(landmark_points.GetRange(0, landmark_points.Count));
|
|
overlay_image.OverlayPointsVisibility.AddRange(visibilities.GetRange(0, visibilities.Count));
|
|
overlay_image.OverlayEyePoints.AddRange(eye_landmark_points.GetRange(0, eye_landmark_points.Count));
|
|
overlay_image.GazeLines.AddRange(gaze_lines.GetRange(0, gaze_lines.Count));
|
|
}
|
|
}
|
|
}
|
|
|
|
if (ShowAppearance)
|
|
{
|
|
RawImage aligned_face = face_analyser.GetLatestAlignedFace();
|
|
RawImage hog_face = visualizer.GetHOGVis();
|
|
|
|
if (latest_aligned_face == null)
|
|
{
|
|
latest_aligned_face = aligned_face.CreateWriteableBitmap();
|
|
latest_HOG_descriptor = hog_face.CreateWriteableBitmap();
|
|
}
|
|
|
|
aligned_face.UpdateWriteableBitmap(latest_aligned_face);
|
|
hog_face.UpdateWriteableBitmap(latest_HOG_descriptor);
|
|
|
|
AlignedFace.Source = latest_aligned_face;
|
|
AlignedHOG.Source = latest_HOG_descriptor;
|
|
}
|
|
}));
|
|
|
|
|
|
}
|
|
|
|
private void StopTracking()
|
|
{
|
|
// First complete the running of the thread
|
|
if (processing_thread != null)
|
|
{
|
|
// Tell the other thread to finish
|
|
thread_running = false;
|
|
processing_thread.Join();
|
|
}
|
|
}
|
|
|
|
|
|
// ----------------------------------------------------------
|
|
// Mode handling (image, video)
|
|
// ----------------------------------------------------------
|
|
|
|
// Disable GUI components that should not be active during processing
|
|
private void SetupFeatureExtractionMode()
|
|
{
|
|
Dispatcher.Invoke((Action)(() =>
|
|
{
|
|
SettingsMenu.IsEnabled = false;
|
|
RecordingMenu.IsEnabled = false;
|
|
AUSetting.IsEnabled = false;
|
|
|
|
PauseButton.IsEnabled = true;
|
|
StopButton.IsEnabled = true;
|
|
NextFiveFramesButton.IsEnabled = false;
|
|
NextFrameButton.IsEnabled = false;
|
|
}));
|
|
}
|
|
|
|
// When the processing is done re-enable the components
|
|
private void EndMode()
|
|
{
|
|
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)(() =>
|
|
{
|
|
|
|
SettingsMenu.IsEnabled = true;
|
|
RecordingMenu.IsEnabled = true;
|
|
AUSetting.IsEnabled = true;
|
|
|
|
PauseButton.IsEnabled = false;
|
|
StopButton.IsEnabled = false;
|
|
NextFiveFramesButton.IsEnabled = false;
|
|
NextFrameButton.IsEnabled = false;
|
|
|
|
// Clean up the interface itself
|
|
overlay_image.Source = null;
|
|
|
|
auClassGraph.Update(new Dictionary<string, double>());
|
|
auRegGraph.Update(new Dictionary<string, double>());
|
|
YawLabel.Content = "0°";
|
|
RollLabel.Content = "0°";
|
|
PitchLabel.Content = "0°";
|
|
|
|
XPoseLabel.Content = "0 mm";
|
|
YPoseLabel.Content = "0 mm";
|
|
ZPoseLabel.Content = "0 mm";
|
|
|
|
nonRigidGraph.Update(new List<double>());
|
|
|
|
GazeXLabel.Content = "0°";
|
|
GazeYLabel.Content = "0°";
|
|
|
|
AlignedFace.Source = null;
|
|
AlignedHOG.Source = null;
|
|
|
|
}));
|
|
}
|
|
|
|
// ----------------------------------------------------------
|
|
// Opening Videos/Images
|
|
// ----------------------------------------------------------
|
|
|
|
// Some utilities for opening images/videos and directories
|
|
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)
|
|
{
|
|
d.Filter = "Image files|*.jpg;*.jpeg;*.bmp;*.png;*.gif";
|
|
}
|
|
else
|
|
{
|
|
d.Filter = "Video files|*.avi;*.wmv;*.mov;*.mpg;*.mpeg;*.mp4";
|
|
}
|
|
if (d.ShowDialog(this) == true)
|
|
{
|
|
|
|
image_files = d.FileNames;
|
|
|
|
}
|
|
}));
|
|
List<string> img_files_list = new List<string>(image_files);
|
|
return img_files_list;
|
|
}
|
|
|
|
private string openDirectory()
|
|
{
|
|
string to_return = "";
|
|
using (var fbd = new FolderBrowserDialog())
|
|
{
|
|
DialogResult result = fbd.ShowDialog();
|
|
if (result == System.Windows.Forms.DialogResult.OK)
|
|
{
|
|
to_return = fbd.SelectedPath;
|
|
}
|
|
else if(!string.IsNullOrWhiteSpace(fbd.SelectedPath))
|
|
{
|
|
string messageBoxText = "Could not open the directory.";
|
|
string caption = "Invalid directory";
|
|
MessageBoxButton button = MessageBoxButton.OK;
|
|
MessageBoxImage icon = MessageBoxImage.Warning;
|
|
|
|
// Display message box
|
|
System.Windows.MessageBox.Show(messageBoxText, caption, button, icon);
|
|
|
|
}
|
|
}
|
|
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, fx, fy, cx, cy);
|
|
|
|
processing_thread = new Thread(() => ProcessSequence(reader));
|
|
processing_thread.Name = "Image sequence processing";
|
|
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.Name = "Video processing";
|
|
processing_thread.Start();
|
|
|
|
}
|
|
|
|
// Selecting one or more images in a directory
|
|
private void individualImageFilesOpenClick(object sender, RoutedEventArgs e)
|
|
{
|
|
// First clean up existing tracking
|
|
StopTracking();
|
|
|
|
var image_files = openMediaDialog(true);
|
|
ImageReader reader = new ImageReader(image_files);
|
|
|
|
processing_thread = new Thread(() => ProcessIndividualImages(reader));
|
|
processing_thread.Start();
|
|
|
|
}
|
|
|
|
// Selecting a directory containing images
|
|
private void individualImageDirectoryOpenClick(object sender, RoutedEventArgs e)
|
|
{
|
|
|
|
// First clean up existing tracking
|
|
StopTracking();
|
|
|
|
string directory = openDirectory();
|
|
if(!string.IsNullOrWhiteSpace(directory))
|
|
{
|
|
ImageReader reader = new ImageReader(directory);
|
|
|
|
processing_thread = new Thread(() => ProcessIndividualImages(reader));
|
|
processing_thread.Start();
|
|
}
|
|
}
|
|
|
|
private void openWebcamClick(object sender, RoutedEventArgs e)
|
|
{
|
|
StopTracking();
|
|
|
|
// If camera selection has already been done, no need to re-populate the list as it is quite slow
|
|
if (cam_sec == null)
|
|
{
|
|
cam_sec = new CameraSelection();
|
|
}
|
|
else
|
|
{
|
|
cam_sec = new CameraSelection(cam_sec.cams);
|
|
cam_sec.Visibility = System.Windows.Visibility.Visible;
|
|
}
|
|
|
|
// Set the icon
|
|
Uri iconUri = new Uri("logo1.ico", UriKind.RelativeOrAbsolute);
|
|
cam_sec.Icon = BitmapFrame.Create(iconUri);
|
|
|
|
if (!cam_sec.no_cameras_found)
|
|
cam_sec.ShowDialog();
|
|
|
|
if (cam_sec.camera_selected)
|
|
{
|
|
int cam_id = cam_sec.selected_camera.Item1;
|
|
int width = cam_sec.selected_camera.Item2;
|
|
int height = cam_sec.selected_camera.Item3;
|
|
|
|
SequenceReader reader = new SequenceReader(cam_id, width, height, fx, fy, cx, cy);
|
|
|
|
processing_thread = new Thread(() => ProcessSequence(reader));
|
|
processing_thread.Name = "Webcam processing";
|
|
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();
|
|
}
|
|
}
|
|
|
|
// Stopping the tracking
|
|
private void StopButton_Click(object sender, RoutedEventArgs e)
|
|
{
|
|
if (processing_thread != null)
|
|
{
|
|
// Stop capture and tracking
|
|
thread_paused = false;
|
|
thread_running = false;
|
|
// Let the processing thread finish
|
|
processing_thread.Join();
|
|
|
|
// Clean up the interface
|
|
EndMode();
|
|
}
|
|
}
|
|
|
|
private void PauseButton_Click(object sender, RoutedEventArgs e)
|
|
{
|
|
if (processing_thread != null)
|
|
{
|
|
// Stop capture and tracking
|
|
thread_paused = !thread_paused;
|
|
|
|
NextFrameButton.IsEnabled = thread_paused;
|
|
NextFiveFramesButton.IsEnabled = thread_paused;
|
|
|
|
if (thread_paused)
|
|
{
|
|
PauseButton.Content = "Resume";
|
|
}
|
|
else
|
|
{
|
|
PauseButton.Content = "Pause";
|
|
}
|
|
}
|
|
}
|
|
|
|
private void SkipButton_Click(object sender, RoutedEventArgs e)
|
|
{
|
|
if (sender.Equals(NextFrameButton))
|
|
{
|
|
skip_frames += 1;
|
|
}
|
|
else if (sender.Equals(NextFiveFramesButton))
|
|
{
|
|
skip_frames += 5;
|
|
}
|
|
}
|
|
|
|
|
|
private void VisualisationChange(object sender, RoutedEventArgs e)
|
|
{
|
|
// Collapsing or restoring the windows here
|
|
if (!ShowTrackedVideo)
|
|
{
|
|
VideoBorder.Visibility = System.Windows.Visibility.Collapsed;
|
|
MainGrid.ColumnDefinitions[0].Width = new GridLength(0, GridUnitType.Star);
|
|
}
|
|
else
|
|
{
|
|
VideoBorder.Visibility = System.Windows.Visibility.Visible;
|
|
MainGrid.ColumnDefinitions[0].Width = new GridLength(2.1, GridUnitType.Star);
|
|
}
|
|
|
|
if (!ShowAppearance)
|
|
{
|
|
AppearanceBorder.Visibility = System.Windows.Visibility.Collapsed;
|
|
MainGrid.ColumnDefinitions[1].Width = new GridLength(0, GridUnitType.Star);
|
|
}
|
|
else
|
|
{
|
|
AppearanceBorder.Visibility = System.Windows.Visibility.Visible;
|
|
MainGrid.ColumnDefinitions[1].Width = new GridLength(0.8, GridUnitType.Star);
|
|
}
|
|
|
|
// Collapsing or restoring the windows here
|
|
if (!ShowGeometry)
|
|
{
|
|
GeometryBorder.Visibility = System.Windows.Visibility.Collapsed;
|
|
MainGrid.ColumnDefinitions[2].Width = new GridLength(0, GridUnitType.Star);
|
|
}
|
|
else
|
|
{
|
|
GeometryBorder.Visibility = System.Windows.Visibility.Visible;
|
|
MainGrid.ColumnDefinitions[2].Width = new GridLength(1.0, GridUnitType.Star);
|
|
}
|
|
|
|
// Collapsing or restoring the windows here
|
|
if (!ShowAUs)
|
|
{
|
|
ActionUnitBorder.Visibility = System.Windows.Visibility.Collapsed;
|
|
MainGrid.ColumnDefinitions[3].Width = new GridLength(0, GridUnitType.Star);
|
|
}
|
|
else
|
|
{
|
|
ActionUnitBorder.Visibility = System.Windows.Visibility.Visible;
|
|
MainGrid.ColumnDefinitions[3].Width = new GridLength(1.6, GridUnitType.Star);
|
|
}
|
|
|
|
}
|
|
|
|
private void setOutputImageSize_Click(object sender, RoutedEventArgs e)
|
|
{
|
|
|
|
NumberEntryWindow number_entry_window = new NumberEntryWindow(image_output_size);
|
|
number_entry_window.Icon = this.Icon;
|
|
|
|
number_entry_window.WindowStartupLocation = WindowStartupLocation.CenterScreen;
|
|
|
|
if (number_entry_window.ShowDialog() == true)
|
|
{
|
|
image_output_size = number_entry_window.OutputInt;
|
|
}
|
|
}
|
|
|
|
private void setCameraParameters_Click(object sender, RoutedEventArgs e)
|
|
{
|
|
CameraParametersEntry camera_params_entry_window = new CameraParametersEntry(fx, fy, cx, cy);
|
|
camera_params_entry_window.Icon = this.Icon;
|
|
|
|
camera_params_entry_window.WindowStartupLocation = WindowStartupLocation.CenterScreen;
|
|
|
|
if (camera_params_entry_window.ShowDialog() == true)
|
|
{
|
|
fx = camera_params_entry_window.Fx;
|
|
fy = camera_params_entry_window.Fy;
|
|
cx = camera_params_entry_window.Cx;
|
|
cy = camera_params_entry_window.Cy;
|
|
}
|
|
}
|
|
|
|
private void OutputLocationItem_Click(object sender, RoutedEventArgs e)
|
|
{
|
|
var dlg = new CommonOpenFileDialog();
|
|
dlg.Title = "Select output directory";
|
|
dlg.IsFolderPicker = true;
|
|
dlg.AllowNonFileSystemItems = false;
|
|
dlg.EnsureFileExists = true;
|
|
dlg.EnsurePathExists = true;
|
|
dlg.EnsureReadOnly = false;
|
|
dlg.EnsureValidNames = true;
|
|
dlg.Multiselect = false;
|
|
dlg.ShowPlacesList = true;
|
|
|
|
if (dlg.ShowDialog() == CommonFileDialogResult.Ok)
|
|
{
|
|
var folder = dlg.FileName;
|
|
record_root = folder;
|
|
}
|
|
}
|
|
|
|
}
|
|
}
|