private int RunDetectAndReport(string imageFileName, FaceData faceData)
{
DetectionResult detectionResult = null;
List <ScoredRect> scoredResultList = null;
try
{
_detector.SetTargetDimension(640, 480);
detectionResult = _detector.DetectObject(imageFileName);
scoredResultList = detectionResult.GetMergedRectList(0.0F);
}
catch (Exception e)
{
Console.WriteLine();
Console.WriteLine("{0}: {1}", imageFileName, e.Message);
return(0);
}
if (scoredResultList.Count <= 0)
{
return(0);
}
if (true != ReadPhoto(imageFileName))
{
return(0);
}
int imageCount = 0;
foreach (ScoredRect scoredRect in scoredResultList)
{
Rect rect = new Rect();
rect.X = scoredRect.X;
rect.Y = scoredRect.Y;
rect.Width = scoredRect.Width;
rect.Height = scoredRect.Height;
imageCount += ReportDetectedFace(imageFileName, rect, faceData);
}
return(imageCount);
}
public void DetectFile(string file)
{
photoImage = Image.FromFile(file);
imageScale = 1;
photoRect = new Rectangle(0, 0, (int)(imageScale * photoImage.Size.Width), (int)(imageScale * photoImage.Size.Height));
DateTime start = DateTime.Now;
faceDetector.SetTargetDimension(640, 480);
// Run face detection
DetectionResult detectionResult = faceDetector.DetectObject(file);
faceDetectRects = detectionResult.GetMergedRectList(detectionThreshold);
TimeSpan detectTime = new TimeSpan(DateTime.Now.Ticks - start.Ticks);
leftEyeRects.Clear();
rightEyeRects.Clear();
RunEyeDetection();
}
/// <summary>
/// Initialize a photo - run faceDetection
/// </summary>
/// <param name="mainCanvas">Main canvas reference</param>
/// <param name="filename">Full path name to image file</param>
public int InitializeWithFaceDetection(BackgroundCanvas mainCanvas, string filename)
{
if (null == _detector)
{
_detector = new FaceDetector(
mainCanvas.OptionDialog.FaceDetectorDataPath,
true,
mainCanvas.OptionDialog.FaceDetectorThreshold);
}
_detector.SetTargetDimension(mainCanvas.OptionDialog.FaceDetectTargetWidth,
mainCanvas.OptionDialog.FaceDetectTargetHeight);
DetectionResult detectionResult = _detector.DetectObject(filename);
List <ScoredRect> scoredResultList = detectionResult.GetMergedRectList(0.0F);
if (scoredResultList.Count < 0)
{
return(0);
}
List <Rect> faceRects = new List <Rect>();
foreach (ScoredRect scoredRect in scoredResultList)
{
Rect rect = new Rect();
rect.X = scoredRect.X;
rect.Y = scoredRect.Y;
rect.Width = scoredRect.Width;
rect.Height = scoredRect.Height;
faceRects.Add(rect);
}
_targetRect = new Rect();
_faceDisplayWidth = mainCanvas.OptionDialog.FaceDisplayWidth;
_defaultDPI = mainCanvas.OptionDialog.DefaultDPI;
return(InitializeInternal(mainCanvas, filename, faceRects, mainCanvas.OptionDialog.BorderWidth, null));
}
private void DetectFile(string file)
{
photoImage = Image.FromFile(file);
imageScale = Math.Min((float)pictureBox1.Size.Width / photoImage.Size.Width,
(float)pictureBox1.Size.Height / photoImage.Size.Height);
photoRect = new Rectangle(0, 0, (int)(imageScale * photoImage.Size.Width), (int)(imageScale * photoImage.Size.Height));
pictureBoxGraphics.Clear(Color.White);
DateTime start = DateTime.Now;
faceDetector.SetTargetDimension(640, 480);
// Run face detection. There are a few ways of doing this. They should
// all yield the same result. It all depends on the form of your image data
// Try the different overloads by uncommenting below
// Method 1 Directly from a System.Drawing.Imaging object.
// Note only underlying data formats that have 1 byte per colour plane are supported
Bitmap bitmap = new Bitmap(photoImage);
BitmapData bitmapdata = bitmap.LockBits(new Rectangle(0, 0, bitmap.Width, bitmap.Height),
System.Drawing.Imaging.ImageLockMode.ReadOnly, bitmap.PixelFormat);
DetectionResult detectionResult = faceDetector.DetectObject(bitmapdata);
bitmap.UnlockBits(bitmapdata);
// Method 2 - Use the image name works for jpg and some other common formats. Supported
// formats are not as good as what is supported by the windows decoders
//DetectionResult detectionResult = faceDetector.DetectObject(imageFile);
// Method 3. Directly from a byte array. This code is included for illustartion only. It is not a suggested way of
// actually doing this
//Bitmap bitmap = new Bitmap(photoImage);
//BitmapData bitmapdata = bitmap.LockBits(new Rectangle(0, 0, bitmap.Width, bitmap.Height),
// System.Drawing.Imaging.ImageLockMode.ReadOnly, PixelFormat.Format24bppRgb);
//int byteCount = bitmapdata.Height * bitmapdata.Stride;
//byte [] bytes = new byte[byteCount];
//System.Runtime.InteropServices.Marshal.Copy(bitmapdata.Scan0, bytes, 0, byteCount);
//DetectionResult detectionResult = faceDetector.DetectObject(bitmapdata.Width,
// bitmapdata.Height,
// bitmapdata.Stride,
// 3, // 3 Bytes per Pixel
// bytes);
//bitmap.UnlockBits(bitmapdata);
faceDetectRects = detectionResult.GetMergedRectList((float)numericUpDownFaceDetectThreshold.Value);
TimeSpan detectTime = new TimeSpan(DateTime.Now.Ticks - start.Ticks);
textBoxFaceDetectTime.Text = detectTime.Milliseconds.ToString();
leftEyeRects.Clear();
rightEyeRects.Clear();
noseRects.Clear();
leftMouthRects.Clear();
rightMouthRects.Clear();
if (true == checkBoxEyeDetect.Checked)
{
RunEyeDetection();
}
}