95 lines
2.9 KiB
C#
95 lines
2.9 KiB
C#
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using OpenCVForUnity.CoreModule;
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using OpenCVForUnity.UtilsModule;
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using System;
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using System.Collections.Generic;
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using System.Runtime.InteropServices;
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namespace OpenCVForUnity.FaceModule
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{
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// C++: class FacemarkTrain
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/**
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* Abstract base class for trainable facemark models
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*
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* To utilize this API in your program, please take a look at the REF: tutorial_table_of_content_facemark
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* ### Description
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*
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* The AAM and LBF facemark models in OpenCV are derived from the abstract base class FacemarkTrain, which
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* provides a unified access to those facemark algorithms in OpenCV.
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*
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* Here is an example on how to declare facemark algorithm:
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* <code>
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* // Using Facemark in your code:
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* Ptr<Facemark> facemark = FacemarkLBF::create();
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* </code>
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*
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*
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* The typical pipeline for facemark detection is listed as follows:
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* <ul>
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* <li>
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* (Non-mandatory) Set a user defined face detection using FacemarkTrain::setFaceDetector.
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* The facemark algorithms are designed to fit the facial points into a face.
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* Therefore, the face information should be provided to the facemark algorithm.
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* Some algorithms might provides a default face recognition function.
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* However, the users might prefer to use their own face detector to obtains the best possible detection result.
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* </li>
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* <li>
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* (Non-mandatory) Training the model for a specific algorithm using FacemarkTrain::training.
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* In this case, the model should be automatically saved by the algorithm.
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* If the user already have a trained model, then this part can be omitted.
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* </li>
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* <li>
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* Load the trained model using Facemark::loadModel.
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* </li>
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* <li>
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* Perform the fitting via the Facemark::fit.
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* </li>
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* </ul>
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*/
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public class FacemarkTrain : Facemark
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{
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protected override void Dispose(bool disposing)
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{
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try
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{
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if (disposing)
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{
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}
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if (IsEnabledDispose)
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{
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if (nativeObj != IntPtr.Zero)
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face_FacemarkTrain_delete(nativeObj);
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nativeObj = IntPtr.Zero;
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}
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}
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finally
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{
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base.Dispose(disposing);
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}
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}
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protected internal FacemarkTrain(IntPtr addr) : base(addr) { }
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// internal usage only
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public static new FacemarkTrain __fromPtr__(IntPtr addr) { return new FacemarkTrain(addr); }
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#if (UNITY_IOS || UNITY_WEBGL) && !UNITY_EDITOR
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const string LIBNAME = "__Internal";
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#else
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const string LIBNAME = "opencvforunity";
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#endif
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// native support for java finalize()
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[DllImport(LIBNAME)]
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private static extern void face_FacemarkTrain_delete(IntPtr nativeObj);
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}
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}
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