org.bytedeco.javacpp

Class opencv_face.FacemarkKazemi.Params

java.lang.Object

org.bytedeco.javacpp.Pointer

org.bytedeco.javacpp.opencv_face.FacemarkKazemi.Params

All Implemented Interfaces:

AutoCloseable

Enclosing class:

opencv_face.FacemarkKazemi

@NoOffset
public static class opencv_face.FacemarkKazemi.Params
extends org.bytedeco.javacpp.Pointer

Nested Class Summary

Nested classes/interfaces inherited from class org.bytedeco.javacpp.Pointer

org.bytedeco.javacpp.Pointer.CustomDeallocator, org.bytedeco.javacpp.Pointer.Deallocator, org.bytedeco.javacpp.Pointer.NativeDeallocator

Field Summary

Fields inherited from class org.bytedeco.javacpp.Pointer

address, capacity, limit, position

Constructor Summary

Constructors

Constructor and Description
Params() \brief Constructor
Params(long size) Native array allocator.
Params(org.bytedeco.javacpp.Pointer p) Pointer cast constructor.

Method Summary

Modifier and Type	Method and Description
long	cascade_depth() cascade_depth This stores the deapth of cascade used for training.
opencv_face.FacemarkKazemi.Params	cascade_depth(long cascade_depth)
org.bytedeco.javacpp.BytePointer	configfile() configfile stores the name of the file containing the values of training parameters
opencv_face.FacemarkKazemi.Params	configfile(org.bytedeco.javacpp.BytePointer configfile)
float	lambda() lambda stores a value to calculate probability of closeness of two coordinates.
opencv_face.FacemarkKazemi.Params	lambda(float lambda)
float	learning_rate() learning_rate stores the learning rate in gradient boosting, also reffered as shrinkage.
opencv_face.FacemarkKazemi.Params	learning_rate(float learning_rate)
long	num_test_coordinates() num_test_coordinates stores number of test coordinates.
opencv_face.FacemarkKazemi.Params	num_test_coordinates(long num_test_coordinates)
long	num_test_splits() num_test_splits stores number of random test splits generated.
opencv_face.FacemarkKazemi.Params	num_test_splits(long num_test_splits)
long	num_trees_per_cascade_level() num_trees_per_cascade_level This stores number of trees fit per cascade level.
opencv_face.FacemarkKazemi.Params	num_trees_per_cascade_level(long num_trees_per_cascade_level)
long	oversampling_amount() oversampling_amount stores number of initialisations used to create training samples.
opencv_face.FacemarkKazemi.Params	oversampling_amount(long oversampling_amount)
opencv_face.FacemarkKazemi.Params	position(long position)
long	tree_depth() tree_depth This stores the max height of the regression tree built.
opencv_face.FacemarkKazemi.Params	tree_depth(long tree_depth)

Methods inherited from class org.bytedeco.javacpp.Pointer

address, 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, zero

Methods inherited from class java.lang.Object

clone, finalize, getClass, notify, notifyAll, wait, wait, wait

Constructor Detail

Params

public Params(org.bytedeco.javacpp.Pointer p)

Pointer cast constructor. Invokes Pointer.Pointer(Pointer).

Params

public Params(long size)

Native array allocator. Access with Pointer.position(long).

Params

public Params()

\brief Constructor

Method Detail

position

public opencv_face.FacemarkKazemi.Params position(long position)

Overrides:

position in class org.bytedeco.javacpp.Pointer

cascade_depth

@Cast(value="unsigned long")
public long cascade_depth()

cascade_depth This stores the deapth of cascade used for training.

cascade_depth

public opencv_face.FacemarkKazemi.Params cascade_depth(long cascade_depth)

tree_depth

@Cast(value="unsigned long")
public long tree_depth()

tree_depth This stores the max height of the regression tree built.

tree_depth

public opencv_face.FacemarkKazemi.Params tree_depth(long tree_depth)

num_trees_per_cascade_level

@Cast(value="unsigned long")
public long num_trees_per_cascade_level()

num_trees_per_cascade_level This stores number of trees fit per cascade level.

num_trees_per_cascade_level

public opencv_face.FacemarkKazemi.Params num_trees_per_cascade_level(long num_trees_per_cascade_level)

learning_rate

public float learning_rate()

learning_rate stores the learning rate in gradient boosting, also reffered as shrinkage.

learning_rate

public opencv_face.FacemarkKazemi.Params learning_rate(float learning_rate)

oversampling_amount

@Cast(value="unsigned long")
public long oversampling_amount()

oversampling_amount stores number of initialisations used to create training samples.

oversampling_amount

public opencv_face.FacemarkKazemi.Params oversampling_amount(long oversampling_amount)

num_test_coordinates

@Cast(value="unsigned long")
public long num_test_coordinates()

num_test_coordinates stores number of test coordinates.

num_test_coordinates

public opencv_face.FacemarkKazemi.Params num_test_coordinates(long num_test_coordinates)

lambda

public float lambda()

lambda stores a value to calculate probability of closeness of two coordinates.

lambda

public opencv_face.FacemarkKazemi.Params lambda(float lambda)

num_test_splits

@Cast(value="unsigned long")
public long num_test_splits()

num_test_splits stores number of random test splits generated.

num_test_splits

public opencv_face.FacemarkKazemi.Params num_test_splits(long num_test_splits)

configfile

@opencv_core.Str
public org.bytedeco.javacpp.BytePointer configfile()

configfile stores the name of the file containing the values of training parameters

configfile

public opencv_face.FacemarkKazemi.Params configfile(org.bytedeco.javacpp.BytePointer configfile)