protected override void RecognizeFace(Image <Bgr, byte> face)
{
if (students.Length != 0)
{
//RESIZE THE FACE TO BE RECOGNIZED SO ITS EQUAL TO THE FACES ALREADY IN THE TRAINING SET
int width = 120;
int height = 120;
face = FramesManager.ResizeColoredImage(face, new Size(width, height));
//ATTEMPT TO RECOGNIZE THE PERPETRATOR
face_recognition_result = faces_manager.MatchFace(face);
//IF A VALID ID IS RETURMED
if (face_recognition_result.match_was_found)
{
//GET STUDENT ASSOCIATED WITH ID
foreach (var student in students)
{
if (student.id == face_recognition_result.id)
{
face_recognition_result.identified_student = student;
break;
}
}
}
return;
}
}
private void AddDetectedFacesToListViewPanel()
{
try
{
if (its_time_to_pick_perpetrator_faces)
{
if (detected_faces != null && current_frame != null)
{
ImageListView image_list_view = Singleton.SELECT_PERP_FACES.GetImageListView();
for (int i = 0; i < detected_faces.Length; i++)
{
//get face
Image <Bgr, byte> face = FramesManager.CropSelectedFace(detected_faces[i], current_frame.Clone());
//resize face
face = FramesManager.ResizeColoredImage(face, new Size(120, 120));
//add face to image list
Singleton.SELECT_PERP_FACES.suspect_faces.TryAdd(count, face);
//add face to image list view
image_list_view.Invoke(new AddImage(Singleton.SELECT_PERP_FACES.AddImage), new object[] { "face " + count, "face " + count, face.ToBitmap() });
//increment id counter
count++;
}
}
}
}
catch (Exception e)
{
Debug.WriteLine(e.Message);
}
}
//ADDS A CAPTURED FRAME TO A THREAD SAFE QUEUE FOR EASY ACESS WHEN THE FRAME IS PROCESSED BY MULTIPLE FRAMES
public bool AddNextFrameToQueueForProcessing()
{
using (current_frame = FramesManager.GetNextFrame(camera.camera_capture))
{
if (current_frame != null)
{
int width = Singleton.MAIN_WINDOW.GetControl(MainWindow.MainWindowControls.review_image_box).Width;
int height = Singleton.MAIN_WINDOW.GetControl(MainWindow.MainWindowControls.review_image_box).Height;
Size new_size = new Size(width, height);
Singleton.REVIEW_FRAMES_TO_BE_PROCESSED.Enqueue(FramesManager.ResizeColoredImage(current_frame.Clone(), new_size));
return(true);
}
//FRAME IS NULL
//MEANING END OF FILE IS REACHED
else
{
//ADD BLACK FRAME TO DATASTORE AND TERMINATE THREAD
//ALSO SIGNAL TO OTHERS THAT THIS THREAD IS DONE
WORK_DONE = true;
running = false;
Debug.WriteLine("Terminating video from file");
return(false);
}
}
}
protected override void RecognizeFace(Image <Bgr, byte> face)
{
if (active_perpetrators.Length != 0)
{
//RESIZE THE FACE TO RECOGNIZE SO ITS EQUAL TO THE FACES ALREADY IN THE TRAINING SET
int width = 120;
int height = 120;
face = FramesManager.ResizeColoredImage(face, new Size(width, height));
//GET ID OF MOST SIMILAR PERPETRATOR
FaceRecognitionResult result = faces_manager.MatchFace(face);
//IF A VALID RESULT IS RETURNED
if (result != null)
{
//IF A VALID ID IS RETURMED
if (result.match_was_found)
{
//GET PERPETRATOR ASSOCIATED WITH ID
foreach (var perp in active_perpetrators)
{
if (perp.id == result.id)
{
result.identified_perpetrator = perp;
break;
}
}
}
Singleton.FACE_RECOGNITION_RESULTS.Enqueue(result);
}
return;
}
}
public void FramesManagerResizeImageTest()
{
Image <Bgr, byte> image = new Image <Bgr, byte>(new Bitmap(100, 100));
Size new_size = new Size(10, 10);
image = FramesManager.ResizeColoredImage(image, new_size);
Assert.IsNotNull(image);
}
private void ShowFaceRecognitionProgress()
{
//THIS KEEPS TRACK OF PROGRESS
double progress_decimal = 1;
//DISPLAY EACH OF PERPETRATORS' FACES IN THE PERPETRATORS PICTURE BOX FOR A FLEETING MOMEMNT;REPEAT TILL ALL FACES ARE DONE
foreach (var student in students)
{
for (int i = 0; i < student.photos.Length; i++)
{
//GET THE AMOUNT OF WORK DONE PERPS.LENGTH*5 COZ EACH PERP HAS A MINIMUM OF 5 FACES
int percentage_completed = (int)(((progress_decimal / (students.Length * 5) * 100)));
//RESIZE THE FACE TO RECOGNIZE SO ITS EQUAL TO THE FACES ALREADY IN THE TRAINING SET
int width = 120;
int height = 120;
student.photos[i] = FramesManager.ResizeColoredImage(student.photos[i], new Size(width, height));
//DISPLAY STUDENT FACE
SetControlPropertyThreadSafe(perpetrators_pictureBox, "Image", student.photos[i].ToBitmap());
if (percentage_completed >= 100)
{
if (face_recognition_result.match_was_found)
{
//UPDATE PROGRESS LABEL
progress_label.ForeColor = Color.Purple;
SetControlPropertyThreadSafe(progress_label, "Text", "Match\nFound");
//DISPLAY IDENTIFIED STUDENT FACE
SetControlPropertyThreadSafe(perpetrators_pictureBox, "Image", face_recognition_result.identified_student.photos[0].ToBitmap());
}
else
{
//UPDATE PROGRESS LABEL
progress_label.ForeColor = Color.Red;
SetControlPropertyThreadSafe(progress_label, "Text", "No\nMatch\nFound");
}
}
else
{
//UPDATE PROGRESS LABEL
SetControlPropertyThreadSafe(progress_label, "Text", "" + percentage_completed + "%");
}
//LET THE THREAD SLEEP
Thread.Sleep(SLEEP_TIME);
progress_decimal++;
}
}
}
//ADDS A CAPTURED FRAME TO THREAD SAFE QUEUES
//FOR EASY ACESS WHEN THE FRAME IS PROCESSED BY MULTIPLE THREADS LATER
public bool AddNextFrameToQueuesForProcessing()
{
//get next frame from camera
current_frame = FramesManager.GetNextFrame(camera_capture);
if (current_frame != null)
{
int new_width = Singleton.MAIN_WINDOW.GetControl(MainWindow.MainWindowControls.live_stream_image_box1).Width;
int new_height = Singleton.MAIN_WINDOW.GetControl(MainWindow.MainWindowControls.live_stream_image_box1).Height;
Size new_size = new Size(new_width, new_height);
//add frame to queue for display
Singleton.LIVE_FRAMES_TO_BE_DISPLAYED.Enqueue(FramesManager.ResizeColoredImage(current_frame.Clone(), new_size));
//add frame to queue for storage
Singleton.FRAMES_TO_BE_STORED.Enqueue(current_frame.Clone());
//resize frame to save on memory and improve performance
int width = Singleton.MAIN_WINDOW.GetControl(MainWindow.MainWindowControls.review_image_box).Width;
int height = Singleton.MAIN_WINDOW.GetControl(MainWindow.MainWindowControls.review_image_box).Height;
Size size = new Size(width, height);
current_frame = FramesManager.ResizeColoredImage(current_frame, size);
//add frame to queue for face detection and recognition
Singleton.LIVE_FRAMES_TO_BE_PROCESSED.Enqueue(current_frame.Clone());
//return
return(true);
}
//FRAME IS NULL
//MEANING END OF FILE IS REACHED
else
{
//ADD BLACK FRAME TO DATASTORE AND TERMINATE THREAD
//ALSO SIGNAL TO OTHERS THAT THIS THREAD IS DONE
WORK_DONE = true;
running = false;
Debug.WriteLine("Terminating camera output");
return(false);
}
}
public bool DisplayFaceRecognitionProgress(Image <Bgr, byte> face)
{
if (face != null)
{
//IF THERE ARE PERPETRATORS TO COMPARE AGAINIST
if (active_perpetrators.Length != 0)
{
//RESIZE THE FACE TO RECOGNIZE SO ITS EQUAL TO THE FACES ALREADY IN THE TRAINING SET
int width = 120;
int height = 120;
face = FramesManager.ResizeColoredImage(face, new Size(width, height));
//CLEAR PANEL IF ITEMS ARE TOO MANY
ClearPanelIfItemsAreMany();
//CREATE PICTURE BOX FOR FACE TO BE RECOGNIZED
unknown_face_pictureBox = new MyPictureBox();
unknown_face_pictureBox.Location = new Point(10, 10);
unknown_face_pictureBox.Size = new Size(120, 120);
unknown_face_pictureBox.BorderStyle = BorderStyle.FixedSingle;
unknown_face_pictureBox.Image = face.ToBitmap();
//CREATE PICTURE BOX FOR PERPETRATORS
perpetrators_pictureBox = new MyPictureBox();
perpetrators_pictureBox.Location = new Point(185, 10);
perpetrators_pictureBox.Size = new Size(120, 120);
perpetrators_pictureBox.BorderStyle = BorderStyle.FixedSingle;
//CREATE PROGRESS LABEL
progress_label = new Label();
progress_label.Location = new Point(143, 60);
progress_label.ForeColor = Color.Green;
progress_label.Text = "0%";
//CREATE PANEL CONTAINER FOR THE ABOVE CONTROLS
Panel panel = new Panel();
panel.AutoSize = true;
panel.Location = new Point(x, y);
panel.BorderStyle = BorderStyle.FixedSingle;
panel.Padding = new Padding(10);
panel.Controls.AddRange(new Control[] { unknown_face_pictureBox, perpetrators_pictureBox, progress_label });
//SINCE THIS THREAD IS STARTED OFF THE GUI THREAD THEN INVOKES MAY BE REQUIRED
if (panel_live_stream.InvokeRequired)
{
//ADD GUI CONTROLS USING INVOKES
Action action = () => panel_live_stream.Controls.Add(panel);
panel_live_stream.Invoke(action);
}
//IF NO INVOKES ARE NEEDED THEN
else
{
//JUST ADD THE CONTROLS
panel_live_stream.Controls.Add(panel);
}
//CREATE A NEW PROGRESS THREAD TO SHOW FACE RECOG PROGRESS
ShowFaceRecognitionProgress();
//INCREASE THE GLOBAL Y SO NEXT PIC BOXES ARE DRAWN BELOW THIS ONE
y += 145;
return(true);
}
}
return(false);
}
