MLImageSegmentationSetting-Class Summary-com.huawei.hms.mlsdk.imgseg-Android-ML Kit

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Class Info
com.huawei.hms.mlsdk.imgseg.MLImageSegmentationSetting Sets the image segmentation analyzer. Attributes of the analyzer MLImageSegmentationAnalyzer include: Detection mode. Three modes are supported: human body detection mode (default), multiclass image detection mode, and hair detection mode. Indicates whether fine detection is supported (for human body and multiclass image detection modes). This function is supported by default. Types of returned results. By default, all results are returned.

Class Info

com.huawei.hms.mlsdk.imgseg.MLImageSegmentationSetting

Sets the image segmentation analyzer. Attributes of the analyzer MLImageSegmentationAnalyzer include:

Detection mode. Three modes are supported: human body detection mode (default), multiclass image detection mode, and hair detection mode.
Indicates whether fine detection is supported (for human body and multiclass image detection modes). This function is supported by default.
Types of returned results. By default, all results are returned.

Nested Class Summary

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Qualifier and Type	Class Name and Description
static class	MLImageSegmentationSetting.Factory Creates an instance of the image segmentation configurator to set image segmentation attributes.

Qualifier and Type

Class Name and Description

static class

MLImageSegmentationSetting.Factory

Creates an instance of the image segmentation configurator to set image segmentation attributes.

Public Field Summary

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Qualifier and Type	Field and Description
int	BODY_SEG Detection mode 0: detection based on the portrait model
int	IMAGE_SEG Detection mode 1: detection based on the multiclass image mode
int	HAIR_SEG Detection mode 2: detection based on the hair model

Qualifier and Type

Field and Description

int

BODY_SEG

Detection mode 0: detection based on the portrait model

int

IMAGE_SEG

Detection mode 1: detection based on the multiclass image mode

int

HAIR_SEG

Detection mode 2: detection based on the hair model

Public Method Summary

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Qualifier and Type	Method Name and Description
boolean	equals(Object target) Determines whether the input instance is equal to the current instance.
int	getAnalyzerType() Obtains the detection mode.
int	getScene() Obtains results to be returned. Choose only necessary results to be returned to reduce the processing time of unnecessary capabilities.
int	hashCode() Obtains the hash value of the current instance.
boolean	isExact() Checks whether fine detection is supported.

Public Fields

BODY_SEG

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Field
public static final int BODY_SEG Detection mode 0: detection based on the portrait model Constant value: 0

Field

public static final int BODY_SEG

Detection mode 0: detection based on the portrait model

Constant value: 0

IMAGE_SEG

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Field
public static final int IMAGE_SEG Detection mode 1: detection based on the multiclass image mode Constant value: 1

Field

public static final int IMAGE_SEG

Detection mode 1: detection based on the multiclass image mode

Constant value: 1

HAIR_SEG

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Field
public static final int HAIR_SEG Detection mode 2: detection based on the hair model Constant value: 2

Field

public static final int HAIR_SEG

Detection mode 2: detection based on the hair model

Constant value: 2

Public Methods

equals(Object target)

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Method
public boolean equals(Object target) Determines whether the input instance is equal to the current instance.

Method

public boolean equals(Object target)

Determines whether the input instance is equal to the current instance.

Parameters

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Name	Description
target	Instance to be compared.

Returns

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Type	Description
boolean	true: The two instances are equal. false: The two instances are different.

getAnalyzerType()

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Method
public int getAnalyzerType() Obtains the detection mode.

Method

public int getAnalyzerType()

Obtains the detection mode.

Returns

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Type	Description
int	Detection mode result. 0: BODE_SEG indicates the human body detection mode (supports distinguishing between the human body and background). 1: IMAGE_SEG indicates the multiclass image detection mode (supports classification of all objects in MLImageSegmentationClassification). 2: HAIR_SEG indicates the hair detection mode.

getScene()

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Method
public int getScene() Obtains results to be returned. Choose only necessary results to be returned to reduce the processing time of unnecessary capabilities.

Method

public int getScene()

Obtains results to be returned. Choose only necessary results to be returned to reduce the processing time of unnecessary capabilities.

Returns

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Type	Description
int	0: all results 1: pixel-level label information 2: human body image with a transparent background

hashCode()

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Method
public int hashCode() Obtains the hash value of the current instance.

Method

public int hashCode()

Obtains the hash value of the current instance.

Returns

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Type	Description
int	Hash value of the current instance.

isExact()

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Method
public boolean isExact() Checks whether fine detection is supported.

Method

public boolean isExact()

Checks whether fine detection is supported.

Returns

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Type	Description
boolean	Whether fine detection is supported. true: yes false: no