private void Detect(Bitmap image,ObjectDetectorSearchMode searchMode, int supperession,ObjectDetectorScalingMode scalingMode,string targetPath,bool parallelProcessing)
{
//http://www.codeproject.com/Tips/561129/Face-Detection-with-Lines-of-Code-VB-NET
//describing Viola Jones here : http://makematics.com/research/viola-jones/
//choosing scaling factor : http://www.mathworks.com/help/vision/ref/vision.cascadeobjectdetector-class.html#btc108o
var detector = new HaarObjectDetector(new FaceHaarCascade(), 30);
detector.SearchMode = searchMode;
if (searchMode == ObjectDetectorSearchMode.Average)
detector.Suppression = supperession;
detector.MaxSize = new Size(image.Width, image.Height);
detector.ScalingMode = scalingMode;
detector.UseParallelProcessing = parallelProcessing;
int scalingValue = image.Width > image.Height ? image.Width : image.Height;
detector.ScalingFactor = scalingValue / (scalingValue - 0.5f);
Rectangle[] faceObjects = detector.ProcessFrame(image);
var p = new Pen(Color.Aqua, 10);
var graphicRect = Graphics.FromImage(image);
foreach (var face in faceObjects)
{
graphicRect.DrawRectangle(p, face);
}
graphicRect.Dispose();
image.Save(targetPath);
}
/// <summary>
///
/// </summary>
/// <param name="sender"></param>
/// <param name="e"></param>
private void MainForm_Load(object sender, EventArgs e)
{
watch.Stop();
#region extracting icon from application to this form window
Icon = Icon.ExtractAssociatedIcon(Application.ExecutablePath);
#endregion
#region Load default Mask Image
if (File.Exists("mask.png"))
{
mask = LoadMask("mask.png");
}
else
{
mask = Icon.ToBitmap();
}
erase = new Bitmap(mask.Width, mask.Height, PixelFormat.Format32bppArgb);
#endregion
#region Add file(s) from command line args
string[] flist = Environment.GetCommandLineArgs();
lvFiles.Items.Clear();
foreach (string f in flist)
{
if (PhotoExts.Contains(Path.GetExtension(f), StringComparer.CurrentCultureIgnoreCase))
{
if (lvFiles.Items.Count == 0 || lvFiles.FindItemWithText(f, true, 0) == null)
{
ListViewItem fItem = new ListViewItem(new string[] { Path.GetFileName(f), f });
lvFiles.Items.Add(fItem);
}
}
}
#endregion
picPreview.SizeMode = PictureBoxSizeMode.Zoom;
picPreview.Image = photo;
picMask.SizeMode = PictureBoxSizeMode.Zoom;
picMask.Image = mask;
cbMode.DataSource = Enum.GetValues(typeof(ObjectDetectorSearchMode));
cbScaling.DataSource = Enum.GetValues(typeof(ObjectDetectorScalingMode));
cbMode.SelectedItem = ObjectDetectorSearchMode.NoOverlap;
cbScaling.SelectedItem = ObjectDetectorScalingMode.SmallerToGreater;
SearchMode = ObjectDetectorSearchMode.NoOverlap;
ScalingMode = ObjectDetectorScalingMode.SmallerToGreater;
OutSize = (int)numOutSize.Value;
faceSize = (int)numFaceSize.Value;
GrayFirst = chkGrayDetect.Checked;
HaarCascade cascade = new FaceHaarCascade();
detector = new HaarObjectDetector(cascade);
}
private FaceDetectorParameters(float scalingFactor, int minimumSize, ObjectDetectorScalingMode objectDetectorScalingMode,
ObjectDetectorSearchMode objectDetectorSearchMode, bool useParallelProcessing, int suppression, bool isValid)
{
ScalingFactor = scalingFactor;
MinimumSize = minimumSize;
ScalingMode = objectDetectorScalingMode;
SearchMode = objectDetectorSearchMode;
UseParallelProcessing = useParallelProcessing;
Suppression = suppression;
IsValid = isValid;
}
/// <summary>
/// Constructs a new Haar object detector.
/// </summary>
/// <param name="cascade">
/// The <see cref="HaarCascade"/> to use in the detector's classifier.
/// For the default face cascade, please take a look on
/// <see cref="Cascades.FaceHaarCascade"/>.
/// </param>
/// <param name="minSize">Minimum window size to consider when searching
/// objects. Default value is <c>15</c>.</param>
/// <param name="searchMode">The <see cref="ObjectDetectorSearchMode"/> to use
/// during search. Please see documentation of <see cref="ObjectDetectorSearchMode"/>
/// for details. Default is <see cref="ObjectDetectorSearchMode.NoOverlap"/>.</param>
/// <param name="scaleFactor">The scaling factor to rescale the window
/// during search. Default value is <c>1.2f</c>.</param>
/// <param name="scalingMode">The <see cref="ObjectDetectorScalingMode"/> to use
/// when re-scaling the search window during search. Default is <see cref="ObjectDetectorScalingMode.SmallerToGreater"/>.</param>
///
public HaarObjectDetector(HaarCascade cascade, int minSize, ObjectDetectorSearchMode searchMode, float scaleFactor,
ObjectDetectorScalingMode scalingMode)
{
this.classifier = new HaarClassifier(cascade);
this.minSize = new Size(minSize, minSize);
this.searchMode = searchMode;
this.ScalingMode = scalingMode;
this.factor = scaleFactor;
this.detectedObjects = new List <Rectangle>();
this.baseWidth = cascade.Width;
this.baseHeight = cascade.Height;
}
public HaarObjectDetector(HaarCascade cascade, int minSize, ObjectDetectorSearchMode searchMode, float scaleFactor,
ObjectDetectorScalingMode scalingMode)
{
this.classifier = new HaarClassifier(cascade);
this.minSize = new Size(minSize, minSize);
this.searchMode = searchMode;
this.ScalingMode = scalingMode;
this.factor = scaleFactor;
this.detectedObjects = new List<Rectangle>();
this.baseWidth = cascade.Width;
this.baseHeight = cascade.Height;
}
/// <summary>
/// Constructs a new Haar object detector.
/// </summary>
///
/// <param name="cascade">
/// The <see cref="Lenneth.Core.Framework.ImageProcessor.Imaging.Filters.ObjectDetection.HaarCascade"/> to use in the detector's classifier.
/// For the default face cascade, please take a look on
/// <see cref="Cascades.FaceHaarCascade"/>. </param>
/// <param name="minSize">
/// Minimum window size to consider when searching for
/// objects. Default value is <c>15</c>.</param>
/// <param name="searchMode">The <see cref="ObjectDetectorSearchMode"/> to use
/// during search. Please see documentation of <see cref="ObjectDetectorSearchMode"/>
/// for details. Default is <see cref="ObjectDetectorSearchMode.NoOverlap"/>.</param>
/// <param name="scaleFactor">The scaling factor to rescale the window
/// during search. Default value is <c>1.2f</c>.</param>
/// <param name="scalingMode">The <see cref="ObjectDetectorScalingMode"/> to use
/// when re-scaling the search window during search. Default is
/// <see cref="ObjectDetectorScalingMode.SmallerToGreater"/>.</param>
///
public HaarObjectDetector(HaarCascade.HaarCascade cascade, int minSize,
ObjectDetectorSearchMode searchMode, float scaleFactor,
ObjectDetectorScalingMode scalingMode)
{
_classifier = new HaarClassifier(cascade);
this._minSize = new Size(minSize, minSize);
this._searchMode = searchMode;
ScalingMode = scalingMode;
_factor = scaleFactor;
_detectedObjects = new List <Rectangle>();
_baseWidth = cascade.Width;
_baseHeight = cascade.Height;
_match = new RectangleGroupMatching(0, 0.2);
}
/// <summary>
/// Constructs a new Haar object detector.
/// </summary>
///
/// <param name="cascade">
/// The <see cref="HaarCascade"/> to use in the detector's classifier.
/// For the default face cascade, please take a look on
/// <see cref="Cascades.FaceHaarCascade"/>. </param>
/// <param name="minSize">
/// Minimum window size to consider when searching for
/// objects. Default value is <c>15</c>.</param>
/// <param name="searchMode">The <see cref="ObjectDetectorSearchMode"/> to use
/// during search. Please see documentation of <see cref="ObjectDetectorSearchMode"/>
/// for details. Default is <see cref="ObjectDetectorSearchMode.NoOverlap"/>.</param>
/// <param name="scaleFactor">The scaling factor to rescale the window
/// during search. Default value is <c>1.2f</c>.</param>
/// <param name="scalingMode">The <see cref="ObjectDetectorScalingMode"/> to use
/// when re-scaling the search window during search. Default is
/// <see cref="ObjectDetectorScalingMode.SmallerToGreater"/>.</param>
///
public HaarObjectDetector(HaarCascade cascade, int minSize,
ObjectDetectorSearchMode searchMode, float scaleFactor,
ObjectDetectorScalingMode scalingMode)
{
this.classifier = new HaarClassifier(cascade);
this.minSize = new Size(minSize, minSize);
this.searchMode = searchMode;
this.ScalingMode = scalingMode;
this.factor = scaleFactor;
this.detectedObjects = new List <Rectangle>();
this.baseWidth = cascade.Width;
this.baseHeight = cascade.Height;
this.match = new GroupMatching(0, 0.2);
#if NET35
this.parallel = false;
#else
this.parallel = true;
#endif
}
/// <summary>
/// Constructs a new Haar object detector.
/// </summary>
///
/// <param name="cascade">
/// The <see cref="HaarCascade"/> to use in the detector's classifier.
/// For the default face cascade, please take a look on
/// <see cref="Cascades.FaceHaarCascade"/>. </param>
/// <param name="minSize">
/// Minimum window size to consider when searching for
/// objects. Default value is <c>15</c>.</param>
/// <param name="searchMode">The <see cref="ObjectDetectorSearchMode"/> to use
/// during search. Please see documentation of <see cref="ObjectDetectorSearchMode"/>
/// for details. Default is <see cref="ObjectDetectorSearchMode.NoOverlap"/>.</param>
/// <param name="scaleFactor">The scaling factor to rescale the window
/// during search. Default value is <c>1.2f</c>.</param>
/// <param name="scalingMode">The <see cref="ObjectDetectorScalingMode"/> to use
/// when re-scaling the search window during search. Default is
/// <see cref="ObjectDetectorScalingMode.SmallerToGreater"/>.</param>
///
public HaarObjectDetector(HaarCascade cascade, int minSize,
ObjectDetectorSearchMode searchMode, float scaleFactor,
ObjectDetectorScalingMode scalingMode)
{
this.classifier = new HaarClassifier(cascade);
this.minSize = new Size(minSize, minSize);
this.searchMode = searchMode;
this.ScalingMode = scalingMode;
this.factor = scaleFactor;
this.detectedObjects = new List<Rectangle>();
this.baseWidth = cascade.Width;
this.baseHeight = cascade.Height;
this.match = new GroupMatching(0, 0.2);
#if NET35
this.parallel = false;
#else
this.parallel = true;
#endif
}
/// <summary>
///
/// </summary>
/// <param name="sender"></param>
/// <param name="e"></param>
private void cbScaling_SelectionChangeCommitted(object sender, EventArgs e)
{
ScalingMode = (ObjectDetectorScalingMode)cbScaling.SelectedValue;
}
public static FaceDetectorParameters Create(float scalingFactor, int minimumSize, ObjectDetectorScalingMode objectDetectorScalingMode,
ObjectDetectorSearchMode objectDetectorSearchMode, bool useParallelProcessing, int suppression) =>
new FaceDetectorParameters(scalingFactor, minimumSize, objectDetectorScalingMode, objectDetectorSearchMode, useParallelProcessing, suppression, true);
