/*
* /// <summary>
* /// Set a user defined face detector for the Facemark algorithm.
* /// </summary>
* /// <param name="facemark">The facemark object</param>
* /// <param name="faceDetect">The user defined face detector function</param>
* /// <returns>True if sucessfull.</returns>
* public static bool SetFaceDetector(this IFacemark facemark, FaceDetectNative faceDetect)
* {
* return cveFacemarkSetFaceDetector(facemark.FacemarkPtr, faceDetect);
* }
*
* /// <summary>
* /// A native face detect function to be used with the SetFaceDetector function
* /// </summary>
* /// <param name="input">Should be a native pointer of cv::_InputArray*</param>
* /// <param name="output">Should be a native pointer of cv::_OutputArray*</param>
* /// <returns>True if face found</returns>
* [UnmanagedFunctionPointer(CvInvoke.CvCallingConvention)]
* [return: MarshalAs(CvInvoke.BoolMarshalType)]
* public delegate bool FaceDetectNative(IntPtr input, IntPtr output);
*
* [DllImport(CvInvoke.ExternLibrary, CallingConvention = CvInvoke.CvCallingConvention)]
* [return: MarshalAs(CvInvoke.BoolMarshalType)]
* internal extern static bool cveFacemarkSetFaceDetector(IntPtr facemark, FaceDetectNative detector);
*/
/// <summary>
/// A function to load the trained model before the fitting process.
/// </summary>
/// <param name="facemark">The facemark object</param>
/// <param name="model">A string represent the filename of a trained model.</param>
public static void LoadModel(this IFacemark facemark, String model)
{
using (CvString cs = new CvString(model))
{
cveFacemarkLoadModel(facemark.FacemarkPtr, cs);
}
}
/// <summary>
/// Default face detector This function is mainly utilized by the implementation of a Facemark Algorithm.
/// </summary>
/// <param name="facemark">The facemark object</param>
/// <param name="image">The input image to be processed.</param>
/// <param name="faces">Output of the function which represent region of interest of the detected faces. Each face is stored in cv::Rect container.</param>
/// <returns>True if success</returns>
public static bool GetFaces(this IFacemark facemark, IInputArray image, IOutputArray faces)
{
using (InputArray iaImage = image.GetInputArray())
using (OutputArray oaFaces = faces.GetOutputArray())
{
return(cveFacemarkGetFaces(facemark.FacemarkPtr, iaImage, oaFaces));
}
}
/// <summary>
/// Add one training sample to the trainer.
/// </summary>
/// <param name="facemark">The facemark object</param>
/// <param name="image">Input image.</param>
/// <param name="landmarks">The ground-truth of facial landmarks points corresponds to the image.</param>
/// <returns></returns>
public static bool AddTraningSample(this IFacemark facemark, IInputArray image, IInputArray landmarks)
{
using (InputArray iaImage = image.GetInputArray())
using (InputArray iaLandmarks = landmarks.GetInputArray())
{
return(cveFacemarkAddTrainingSample(facemark.FacemarkPtr, iaImage, iaLandmarks));
}
}
/*
* /// <summary>
* /// Default face detector This function is mainly utilized by the implementation of a Facemark Algorithm.
* /// </summary>
* /// <param name="facemark">The facemark object</param>
* /// <param name="image">The input image to be processed.</param>
* /// <param name="faces">Output of the function which represent region of interest of the detected faces. Each face is stored in cv::Rect container.</param>
* /// <returns>True if success</returns>
* public static bool GetFaces(this IFacemark facemark, IInputArray image, IOutputArray faces)
* {
* using (InputArray iaImage = image.GetInputArray())
* using (OutputArray oaFaces = faces.GetOutputArray())
* {
* return cveFacemarkGetFaces(facemark.FacemarkPtr, iaImage, oaFaces);
* }
* }
* [DllImport(CvInvoke.ExternLibrary, CallingConvention = CvInvoke.CvCallingConvention)]
* [return: MarshalAs(CvInvoke.BoolMarshalType)]
* internal extern static bool cveFacemarkGetFaces(IntPtr facemark, IntPtr image, IntPtr faces);
*/
/// <summary>
/// Trains a Facemark algorithm using the given dataset.
/// </summary>
/// <param name="facemark">The facemark object</param>
/// <param name="image">Input image.</param>
/// <param name="faces">Represent region of interest of the detected faces. Each face is stored in cv::Rect container.</param>
/// <param name="landmarks">The detected landmark points for each faces.</param>
/// <returns>True if successful</returns>
public static bool Fit(this IFacemark facemark, IInputArray image, IInputArray faces, IInputOutputArray landmarks)
{
using (InputArray iaImage = image.GetInputArray())
using (InputArray iaFaces = faces.GetInputArray())
using (InputOutputArray ioaLandmarks = landmarks.GetInputOutputArray())
{
return(cveFacemarkFit(facemark.FacemarkPtr, iaImage, iaFaces, ioaLandmarks));
}
}
/// <summary>
/// Set a user defined face detector for the Facemark algorithm.
/// </summary>
/// <param name="facemark">The facemark object</param>
/// <param name="faceDetect">The user defined face detector function</param>
/// <returns>True if sucessfull.</returns>
public static bool SetFaceDetector(this IFacemark facemark, FaceDetectNative faceDetect)
{
return(cveFacemarkSetFaceDetector(facemark.FacemarkPtr, faceDetect));
}
/// <summary>
/// Trains a Facemark algorithm using the given dataset. Before the training process, training samples should be added to the trainer using AddTrainingSample function.
/// </summary>
/// <param name="facemark">The facemark object</param>
public static void Training(this IFacemark facemark)
{
cveFacemarkTraining(facemark.FacemarkPtr);
}
