/// <summary>
/// Writes the specified cascade.
/// </summary>
/// <param name="cascade">The cascade to write.</param>
/// <param name="className">The name for the generated class.</param>
///
public void Write(HaarCascade cascade, string className)
{
for (int i = 0; i < cascade.Stages.Length; i++)
for (int j = 0; j < cascade.Stages[i].Trees.Length; j++)
if (cascade.Stages[i].Trees[j].Length != 1)
throw new ArgumentException("Only cascades with single node trees are currently supported.");
writer.WriteLine("// This file has been automatically transcribed by the");
writer.WriteLine("//");
writer.WriteLine("// Accord Vision Library");
writer.WriteLine("// The Accord.NET Framework");
writer.WriteLine("// http://accord-framework.net");
writer.WriteLine("//");
writer.WriteLine();
writer.WriteLine("namespace HaarCascades");
writer.WriteLine("{");
writer.WriteLine(" using System.CodeDom.Compiler;");
writer.WriteLine(" using System.Collections.Generic;");
writer.WriteLine();
writer.WriteLine(" /// <summary>");
writer.WriteLine(" /// Automatically generated haar-cascade definition");
writer.WriteLine(" /// to use with the Accord.NET Framework object detectors.");
writer.WriteLine(" /// </summary>");
writer.WriteLine(" /// ");
writer.WriteLine(" [GeneratedCode(\"Accord.NET HaarCascadeWriter\", \"2.7\")]");
writer.WriteLine(" public class {0} : Accord.Vision.Detection.HaarCascade", className);
writer.WriteLine(" {");
writer.WriteLine();
writer.WriteLine(" /// <summary>");
writer.WriteLine(" /// Automatically generated transcription");
writer.WriteLine(" /// </summary>");
writer.WriteLine(" public {0}()", className);
writer.WriteLine(" : base({0}, {1})", cascade.Width, cascade.Height);
writer.WriteLine(" {");
writer.WriteLine(" List<HaarCascadeStage> stages = new List<HaarCascadeStage>();");
writer.WriteLine(" List<HaarFeatureNode[]> nodes;");
writer.WriteLine(" HaarCascadeStage stage;");
writer.WriteLine();
if (cascade.HasTiltedFeatures)
{
writer.WriteLine(" HasTiltedFeatures = true;");
writer.WriteLine();
}
// Write cascade stages
for (int i = 0; i < cascade.Stages.Length; i++)
writeStage(i, cascade.Stages[i]);
writer.WriteLine();
writer.WriteLine(" Stages = stages.ToArray();");
writer.WriteLine(" }");
writer.WriteLine(" }");
writer.WriteLine("}");
}
public FrmEnrollUser()
{
try
{
InitializeComponent();
cascade = new FaceHaarCascade();
}
catch (Exception er)
{
MessageBox.Show(er.Message, "Face Detection and Recognition Failure", MessageBoxButtons.OK, MessageBoxIcon.Error);
}
}
public FrmFaceDetection()
{
try
{
InitializeComponent();
webcamVideo = new Capture();
//faceDetection = new HaarCascade(Application.StartupPath + "\\haarcascade_frontalface_default.xml");
faceDetection = new Emgu.CV.HaarCascade("haarcascade_frontalface_default.xml");
cascade = new FaceHaarCascade();
}
catch (Exception er)
{
MessageBox.Show(er.Message, "Face Detection and Recognition Failure", MessageBoxButtons.OK, MessageBoxIcon.Error);
}
}
/// <summary>
/// Constructs a new classifier.
/// </summary>
///
public HaarClassifier(HaarCascade cascade)
{
this.cascade = cascade;
var features = new List <HaarFeature>();
// For each stage in the cascade
foreach (HaarCascadeStage stage in cascade.Stages)
{
// For each tree in the cascade
foreach (HaarFeatureNode[] tree in stage.Trees)
{
// For each feature node in the tree
foreach (HaarFeatureNode node in tree)
{
features.Add(node.Feature);
}
}
}
this.features = features.ToArray();
}
/// <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>
/// Creates a new object that is a copy of the current instance.
/// </summary>
///
/// <returns>
/// A new object that is a copy of this instance.
/// </returns>
///
public object Clone()
{
HaarCascadeStage[] newStages = new HaarCascadeStage[Stages.Length];
for (int i = 0; i < newStages.Length; i++)
newStages[i] = (HaarCascadeStage)Stages[i].Clone();
HaarCascade r = new HaarCascade(Width, Height);
r.HasTiltedFeatures = this.HasTiltedFeatures;
r.Stages = newStages;
return r;
}
/// <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 value is <see cref="ObjectDetectorSearchMode.NoOverlap"/></param>
///
public HaarObjectDetector(HaarCascade cascade, int minSize, ObjectDetectorSearchMode searchMode)
: this(cascade, minSize, searchMode, 1.2f)
{
}
/// <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 value is <see cref="ObjectDetectorSearchMode.NoOverlap"/></param>
/// <param name="scaleFactor">The re-scaling factor to use when re-scaling the window during search.</param>
///
public HaarObjectDetector(HaarCascade cascade, int minSize,
ObjectDetectorSearchMode searchMode, float scaleFactor)
: this(cascade, minSize, searchMode, scaleFactor, ObjectDetectorScalingMode.SmallerToGreater)
{
}
/// <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>
///
public HaarObjectDetector(HaarCascade cascade)
: this(cascade, 15)
{
}
/// <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>
///
public HaarObjectDetector(HaarCascade cascade, int minSize)
: this(cascade, minSize, ObjectDetectorSearchMode.NoOverlap)
{
}
/// <summary>
/// Constructs a new classifier.
/// </summary>
///
public HaarClassifier(HaarCascade cascade)
{
this.cascade = cascade;
}
/// <summary>
/// Writes the specified cascade.
/// </summary>
/// <param name="cascade">The cascade to write.</param>
/// <param name="className">The name for the generated class.</param>
///
public void Write(HaarCascade cascade, string className)
{
for (int i = 0; i < cascade.Stages.Length; i++)
{
for (int j = 0; j < cascade.Stages[i].Trees.Length; j++)
{
if (cascade.Stages[i].Trees[j].Length != 1)
{
throw new ArgumentException("Only cascades with single node trees are currently supported.");
}
}
}
writer.WriteLine("// This file has been automatically transcribed by the");
writer.WriteLine("//");
writer.WriteLine("// Accord Vision Library");
writer.WriteLine("// The Accord.NET Framework");
writer.WriteLine("// http://accord-framework.net");
writer.WriteLine("//");
writer.WriteLine();
writer.WriteLine("namespace HaarCascades");
writer.WriteLine("{");
writer.WriteLine(" using System.CodeDom.Compiler;");
writer.WriteLine(" using System.Collections.Generic;");
writer.WriteLine();
writer.WriteLine(" /// <summary>");
writer.WriteLine(" /// Automatically generated haar-cascade definition");
writer.WriteLine(" /// to use with the Accord.NET Framework object detectors.");
writer.WriteLine(" /// </summary>");
writer.WriteLine(" /// ");
writer.WriteLine(" [GeneratedCode(\"Accord.NET HaarCascadeWriter\", \"2.7\")]");
writer.WriteLine(" public class {0} : Accord.Vision.Detection.HaarCascade", className);
writer.WriteLine(" {");
writer.WriteLine();
writer.WriteLine(" /// <summary>");
writer.WriteLine(" /// Automatically generated transcription");
writer.WriteLine(" /// </summary>");
writer.WriteLine(" public {0}()", className);
writer.WriteLine(" : base({0}, {1})", cascade.Width, cascade.Height);
writer.WriteLine(" {");
writer.WriteLine(" List<HaarCascadeStage> stages = new List<HaarCascadeStage>();");
writer.WriteLine(" List<HaarFeatureNode[]> nodes;");
writer.WriteLine(" HaarCascadeStage stage;");
writer.WriteLine();
if (cascade.HasTiltedFeatures)
{
writer.WriteLine(" HasTiltedFeatures = true;");
writer.WriteLine();
}
// Write cascade stages
for (int i = 0; i < cascade.Stages.Length; i++)
{
writeStage(i, cascade.Stages[i]);
}
writer.WriteLine();
writer.WriteLine(" Stages = stages.ToArray();");
writer.WriteLine(" }");
writer.WriteLine(" }");
writer.WriteLine("}");
}
/// <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;
}
/// <summary>
/// Constructs a new classifier.
/// </summary>
///
public HaarClassifier(HaarCascade cascade)
{
this.cascade = cascade;
}
/// <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 value is <see cref="ObjectDetectorSearchMode.NoOverlap"/></param>
/// <param name="scaleFactor">The re-scaling factor to use when re-scaling the window during search.</param>
///
public HaarObjectDetector(HaarCascade cascade, int minSize,
ObjectDetectorSearchMode searchMode, float scaleFactor)
: this(cascade, minSize, searchMode, scaleFactor, ObjectDetectorScalingMode.SmallerToGreater) { }
/// <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 value is <see cref="ObjectDetectorSearchMode.NoOverlap"/></param>
///
public HaarObjectDetector(HaarCascade cascade, int minSize, ObjectDetectorSearchMode searchMode)
: this(cascade, minSize, searchMode, 1.2f) { }
/// <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>
///
public HaarObjectDetector(HaarCascade cascade, int minSize)
: this(cascade, minSize, ObjectDetectorSearchMode.NoOverlap) { }
/// <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>
///
public HaarObjectDetector(HaarCascade cascade)
: this(cascade, 15) { }
