@Namespace(value="cv::face") public static class opencv_face.Facemark extends opencv_core.Algorithm
To utilize this API in your program, please take a look at the \ref tutorial_table_of_content_facemark ### Description
Facemark is a base class which provides universal access to any specific facemark algorithm. Therefore, the users should declare a desired algorithm before they can use it in their application.
Here is an example on how to declare a facemark algorithm:
// Using Facemark in your code:
Ptr<Facemark> facemark = createFacemarkLBF();
The typical pipeline for facemark detection is as follows: - Load the trained model using Facemark::loadModel. - Perform the fitting on an image via Facemark::fit.
| Constructor and Description |
|---|
Facemark(org.bytedeco.javacpp.Pointer p)
Pointer cast constructor.
|
| Modifier and Type | Method and Description |
|---|---|
boolean |
fit(opencv_core.Mat image,
opencv_core.RectVector faces,
opencv_core.Point2fVectorVector landmarks)
\brief Detect facial landmarks from an image.
|
void |
loadModel(org.bytedeco.javacpp.BytePointer model)
\brief A function to load the trained model before the fitting process.
|
void |
loadModel(String model) |
clear, empty, getDefaultName, position, read, save, save, write, write, writeaddress, asBuffer, asByteBuffer, availablePhysicalBytes, calloc, capacity, capacity, close, deallocate, deallocate, deallocateReferences, deallocator, deallocator, equals, fill, formatBytes, free, hashCode, isNull, limit, limit, malloc, maxBytes, maxPhysicalBytes, memchr, memcmp, memcpy, memmove, memset, offsetof, parseBytes, physicalBytes, position, put, realloc, setNull, sizeof, toString, totalBytes, totalPhysicalBytes, withDeallocator, zeropublic Facemark(org.bytedeco.javacpp.Pointer p)
Pointer.Pointer(Pointer).public void loadModel(@opencv_core.Str org.bytedeco.javacpp.BytePointer model)
model - A string represent the filename of a trained model.
Example of usage
facemark->loadModel("../data/lbf.model");
public void loadModel(@opencv_core.Str String model)
@Cast(value="bool")
public boolean fit(@ByVal
opencv_core.Mat image,
@ByRef
opencv_core.RectVector faces,
@ByRef
opencv_core.Point2fVectorVector landmarks)
image - Input image.faces - Output of the function which represent region of interest of the detected faces.
Each face is stored in cv::Rect container.landmarks - The detected landmark points for each faces.
Example of usage
Mat image = imread("image.jpg");
std::vector<Rect> faces;
std::vector<std::vector<Point2f> > landmarks;
facemark->fit(image, faces, landmarks);
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