Package org.opencv.face
Class FacemarkTrain
- java.lang.Object
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- org.opencv.core.Algorithm
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- org.opencv.face.Facemark
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- org.opencv.face.FacemarkTrain
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- Direct Known Subclasses:
FacemarkAAM
,FacemarkLBF
public class FacemarkTrain extends Facemark
Abstract base class for trainable facemark models To utilize this API in your program, please take a look at the REF: tutorial_table_of_content_facemark ### Description The AAM and LBF facemark models in OpenCV are derived from the abstract base class FacemarkTrain, which provides a unified access to those facemark algorithms in OpenCV. Here is an example on how to declare facemark algorithm:// Using Facemark in your code: Ptr<Facemark> facemark = FacemarkLBF::create();
The typical pipeline for facemark detection is listed as follows:- (Non-mandatory) Set a user defined face detection using FacemarkTrain::setFaceDetector. The facemark algorithms are designed to fit the facial points into a face. Therefore, the face information should be provided to the facemark algorithm. Some algorithms might provides a default face recognition function. However, the users might prefer to use their own face detector to obtains the best possible detection result.
- (Non-mandatory) Training the model for a specific algorithm using FacemarkTrain::training. In this case, the model should be automatically saved by the algorithm. If the user already have a trained model, then this part can be omitted.
- Load the trained model using Facemark::loadModel.
- Perform the fitting via the Facemark::fit.
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Constructor Summary
Constructors Modifier Constructor Description protected
FacemarkTrain(long addr)
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Method Summary
All Methods Static Methods Instance Methods Concrete Methods Modifier and Type Method Description static FacemarkTrain
__fromPtr__(long addr)
protected void
finalize()
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Methods inherited from class org.opencv.core.Algorithm
clear, empty, getDefaultName, getNativeObjAddr, save
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Method Detail
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__fromPtr__
public static FacemarkTrain __fromPtr__(long addr)
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