Class ImageSegmentationPredictionResult (0.3.0) 

public final class ImageSegmentationPredictionResult extends GeneratedMessageV3 implements ImageSegmentationPredictionResultOrBuilder

Prediction output format for Image Segmentation.

Protobuf type google.cloud.visionai.v1.ImageSegmentationPredictionResult

Inheritance

Object > AbstractMessageLite<MessageType,BuilderType> > AbstractMessage > GeneratedMessageV3 > ImageSegmentationPredictionResult

Static Fields

CATEGORY_MASK_FIELD_NUMBER

public static final int CATEGORY_MASK_FIELD_NUMBER
Field Value
Type Description
int

CONFIDENCE_MASK_FIELD_NUMBER

public static final int CONFIDENCE_MASK_FIELD_NUMBER
Field Value
Type Description
int

Static Methods

getDefaultInstance()

public static ImageSegmentationPredictionResult getDefaultInstance()
Returns
Type Description
ImageSegmentationPredictionResult

getDescriptor()

public static final Descriptors.Descriptor getDescriptor()
Returns
Type Description
Descriptor

newBuilder()

public static ImageSegmentationPredictionResult.Builder newBuilder()
Returns
Type Description
ImageSegmentationPredictionResult.Builder

newBuilder(ImageSegmentationPredictionResult prototype)

public static ImageSegmentationPredictionResult.Builder newBuilder(ImageSegmentationPredictionResult prototype)
Parameter
Name Description
prototype ImageSegmentationPredictionResult
Returns
Type Description
ImageSegmentationPredictionResult.Builder

parseDelimitedFrom(InputStream input)

public static ImageSegmentationPredictionResult parseDelimitedFrom(InputStream input)
Parameter
Name Description
input InputStream
Returns
Type Description
ImageSegmentationPredictionResult
Exceptions
Type Description
IOException

parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)

public static ImageSegmentationPredictionResult parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
Name Description
input InputStream
extensionRegistry ExtensionRegistryLite
Returns
Type Description
ImageSegmentationPredictionResult
Exceptions
Type Description
IOException

parseFrom(byte[] data)

public static ImageSegmentationPredictionResult parseFrom(byte[] data)
Parameter
Name Description
data byte[]
Returns
Type Description
ImageSegmentationPredictionResult
Exceptions
Type Description
InvalidProtocolBufferException

parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)

public static ImageSegmentationPredictionResult parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)
Parameters
Name Description
data byte[]
extensionRegistry ExtensionRegistryLite
Returns
Type Description
ImageSegmentationPredictionResult
Exceptions
Type Description
InvalidProtocolBufferException

parseFrom(ByteString data)

public static ImageSegmentationPredictionResult parseFrom(ByteString data)
Parameter
Name Description
data ByteString
Returns
Type Description
ImageSegmentationPredictionResult
Exceptions
Type Description
InvalidProtocolBufferException

parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)

public static ImageSegmentationPredictionResult parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)
Parameters
Name Description
data ByteString
extensionRegistry ExtensionRegistryLite
Returns
Type Description
ImageSegmentationPredictionResult
Exceptions
Type Description
InvalidProtocolBufferException

parseFrom(CodedInputStream input)

public static ImageSegmentationPredictionResult parseFrom(CodedInputStream input)
Parameter
Name Description
input CodedInputStream
Returns
Type Description
ImageSegmentationPredictionResult
Exceptions
Type Description
IOException

parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

public static ImageSegmentationPredictionResult parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
Name Description
input CodedInputStream
extensionRegistry ExtensionRegistryLite
Returns
Type Description
ImageSegmentationPredictionResult
Exceptions
Type Description
IOException

parseFrom(InputStream input)

public static ImageSegmentationPredictionResult parseFrom(InputStream input)
Parameter
Name Description
input InputStream
Returns
Type Description
ImageSegmentationPredictionResult
Exceptions
Type Description
IOException

parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)

public static ImageSegmentationPredictionResult parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
Name Description
input InputStream
extensionRegistry ExtensionRegistryLite
Returns
Type Description
ImageSegmentationPredictionResult
Exceptions
Type Description
IOException

parseFrom(ByteBuffer data)

public static ImageSegmentationPredictionResult parseFrom(ByteBuffer data)
Parameter
Name Description
data ByteBuffer
Returns
Type Description
ImageSegmentationPredictionResult
Exceptions
Type Description
InvalidProtocolBufferException

parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)

public static ImageSegmentationPredictionResult parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)
Parameters
Name Description
data ByteBuffer
extensionRegistry ExtensionRegistryLite
Returns
Type Description
ImageSegmentationPredictionResult
Exceptions
Type Description
InvalidProtocolBufferException

parser()

public static Parser<ImageSegmentationPredictionResult> parser()
Returns
Type Description
Parser<ImageSegmentationPredictionResult>

Methods

equals(Object obj)

public boolean equals(Object obj)
Parameter
Name Description
obj Object
Returns
Type Description
boolean
Overrides

getCategoryMask()

public String getCategoryMask()

A PNG image where each pixel in the mask represents the category in which the pixel in the original image was predicted to belong to. The size of this image will be the same as the original image. The mapping between the AnntoationSpec and the color can be found in model's metadata. The model will choose the most likely category and if none of the categories reach the confidence threshold, the pixel will be marked as background.

string category_mask = 1;

Returns
Type Description
String

The categoryMask.

getCategoryMaskBytes()

public ByteString getCategoryMaskBytes()

A PNG image where each pixel in the mask represents the category in which the pixel in the original image was predicted to belong to. The size of this image will be the same as the original image. The mapping between the AnntoationSpec and the color can be found in model's metadata. The model will choose the most likely category and if none of the categories reach the confidence threshold, the pixel will be marked as background.

string category_mask = 1;

Returns
Type Description
ByteString

The bytes for categoryMask.

getConfidenceMask()

public String getConfidenceMask()

A one channel image which is encoded as an 8bit lossless PNG. The size of the image will be the same as the original image. For a specific pixel, darker color means less confidence in correctness of the cateogry in the categoryMask for the corresponding pixel. Black means no confidence and white means complete confidence.

string confidence_mask = 2;

Returns
Type Description
String

The confidenceMask.

getConfidenceMaskBytes()

public ByteString getConfidenceMaskBytes()

A one channel image which is encoded as an 8bit lossless PNG. The size of the image will be the same as the original image. For a specific pixel, darker color means less confidence in correctness of the cateogry in the categoryMask for the corresponding pixel. Black means no confidence and white means complete confidence.

string confidence_mask = 2;

Returns
Type Description
ByteString

The bytes for confidenceMask.

getDefaultInstanceForType()

public ImageSegmentationPredictionResult getDefaultInstanceForType()
Returns
Type Description
ImageSegmentationPredictionResult

getParserForType()

public Parser<ImageSegmentationPredictionResult> getParserForType()
Returns
Type Description
Parser<ImageSegmentationPredictionResult>
Overrides

getSerializedSize()

public int getSerializedSize()
Returns
Type Description
int
Overrides

hashCode()

public int hashCode()
Returns
Type Description
int
Overrides

internalGetFieldAccessorTable()

protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Returns
Type Description
FieldAccessorTable
Overrides

isInitialized()

public final boolean isInitialized()
Returns
Type Description
boolean
Overrides

newBuilderForType()

public ImageSegmentationPredictionResult.Builder newBuilderForType()
Returns
Type Description
ImageSegmentationPredictionResult.Builder

newBuilderForType(GeneratedMessageV3.BuilderParent parent)

protected ImageSegmentationPredictionResult.Builder newBuilderForType(GeneratedMessageV3.BuilderParent parent)
Parameter
Name Description
parent BuilderParent
Returns
Type Description
ImageSegmentationPredictionResult.Builder
Overrides

newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)

protected Object newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)
Parameter
Name Description
unused UnusedPrivateParameter
Returns
Type Description
Object
Overrides

toBuilder()

public ImageSegmentationPredictionResult.Builder toBuilder()
Returns
Type Description
ImageSegmentationPredictionResult.Builder

writeTo(CodedOutputStream output)

public void writeTo(CodedOutputStream output)
Parameter
Name Description
output CodedOutputStream
Overrides
Exceptions
Type Description
IOException