Class ImageSegmentationPredictionResult.Builder (3.3.0)

Version 3.3.0

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public static final class ImageSegmentationPredictionResult.Builder extends GeneratedMessageV3.Builder<ImageSegmentationPredictionResult.Builder> implements ImageSegmentationPredictionResultOrBuilder

Prediction output format for Image Segmentation.

Protobuf type google.cloud.aiplatform.v1.schema.predict.prediction.ImageSegmentationPredictionResult

Inheritance

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

Implements

ImageSegmentationPredictionResultOrBuilder

Inherited Members

AbstractMessage.Builder.findInitializationErrors()

AbstractMessage.Builder.getInitializationErrorString()

AbstractMessage.Builder.internalMergeFrom(AbstractMessageLite)

AbstractMessage.Builder.mergeFrom(byte[])

AbstractMessage.Builder.mergeFrom(byte[],ExtensionRegistryLite)

AbstractMessage.Builder.mergeFrom(byte[],int,int)

AbstractMessage.Builder.mergeFrom(byte[],int,int,ExtensionRegistryLite)

AbstractMessage.Builder.mergeFrom(ByteString)

AbstractMessage.Builder.mergeFrom(ByteString,ExtensionRegistryLite)

AbstractMessage.Builder.mergeFrom(CodedInputStream)

AbstractMessage.Builder.mergeFrom(CodedInputStream,ExtensionRegistryLite)

AbstractMessage.Builder.mergeFrom(Message)

AbstractMessage.Builder.mergeFrom(InputStream)

AbstractMessage.Builder.mergeFrom(InputStream,ExtensionRegistryLite)

AbstractMessage.Builder.newUninitializedMessageException(Message)

AbstractMessage.Builder.toString()

AbstractMessageLite.Builder.<T>addAll(Iterable<T>,Collection<? super T>)

AbstractMessageLite.Builder.<T>addAll(Iterable<T>,List<? super T>)

AbstractMessageLite.Builder.internalMergeFrom(MessageType)

AbstractMessageLite.Builder.mergeDelimitedFrom(InputStream)

AbstractMessageLite.Builder.mergeDelimitedFrom(InputStream,ExtensionRegistryLite)

AbstractMessageLite.Builder.mergeFrom(MessageLite)

AbstractMessageLite.Builder.newUninitializedMessageException(MessageLite)

GeneratedMessageV3.Builder.addRepeatedField(Descriptors.FieldDescriptor,Object)

GeneratedMessageV3.Builder.clear()

GeneratedMessageV3.Builder.clearField(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.clearOneof(Descriptors.OneofDescriptor)

GeneratedMessageV3.Builder.clone()

GeneratedMessageV3.Builder.getAllFields()

GeneratedMessageV3.Builder.getDescriptorForType()

GeneratedMessageV3.Builder.getField(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.getFieldBuilder(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.getOneofFieldDescriptor(Descriptors.OneofDescriptor)

GeneratedMessageV3.Builder.getParentForChildren()

GeneratedMessageV3.Builder.getRepeatedField(Descriptors.FieldDescriptor,int)

GeneratedMessageV3.Builder.getRepeatedFieldBuilder(Descriptors.FieldDescriptor,int)

GeneratedMessageV3.Builder.getRepeatedFieldCount(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.getUnknownFields()

GeneratedMessageV3.Builder.hasField(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.hasOneof(Descriptors.OneofDescriptor)

GeneratedMessageV3.Builder.internalGetFieldAccessorTable()

GeneratedMessageV3.Builder.internalGetMapField(int)

GeneratedMessageV3.Builder.internalGetMutableMapField(int)

GeneratedMessageV3.Builder.isClean()

GeneratedMessageV3.Builder.isInitialized()

GeneratedMessageV3.Builder.markClean()

GeneratedMessageV3.Builder.mergeUnknownFields(UnknownFieldSet)

GeneratedMessageV3.Builder.newBuilderForField(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.onBuilt()

GeneratedMessageV3.Builder.onChanged()

GeneratedMessageV3.Builder.setField(Descriptors.FieldDescriptor,Object)

GeneratedMessageV3.Builder.setRepeatedField(Descriptors.FieldDescriptor,int,Object)

GeneratedMessageV3.Builder.setUnknownFields(UnknownFieldSet)

GeneratedMessageV3.Builder.setUnknownFieldsProto3(UnknownFieldSet)

Object.equals(Object)

Object.finalize()

Object.getClass()

Object.hashCode()

Object.notify()

Object.notifyAll()

Object.wait()

Object.wait(long)

Object.wait(long,int)

Static Methods

getDescriptor()

public static final Descriptors.Descriptor getDescriptor()

Returns

Type	Description
Descriptor

Methods

addRepeatedField(Descriptors.FieldDescriptor field, Object value)

public ImageSegmentationPredictionResult.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)

Parameters

Name	Description
field	FieldDescriptor
value	Object

Returns

Type	Description
ImageSegmentationPredictionResult.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.addRepeatedField(Descriptors.FieldDescriptor field, Object value)

build()

public ImageSegmentationPredictionResult build()

Returns

Type	Description
ImageSegmentationPredictionResult

buildPartial()

public ImageSegmentationPredictionResult buildPartial()

Returns

Type	Description
ImageSegmentationPredictionResult

clear()

public ImageSegmentationPredictionResult.Builder clear()

Returns

Type	Description
ImageSegmentationPredictionResult.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.clear()

clearCategoryMask()

public ImageSegmentationPredictionResult.Builder clearCategoryMask()

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
ImageSegmentationPredictionResult.Builder	This builder for chaining.

clearConfidenceMask()

public ImageSegmentationPredictionResult.Builder clearConfidenceMask()

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
ImageSegmentationPredictionResult.Builder	This builder for chaining.

clearField(Descriptors.FieldDescriptor field)

public ImageSegmentationPredictionResult.Builder clearField(Descriptors.FieldDescriptor field)

Parameter

Name	Description
field	FieldDescriptor

Returns

Type	Description
ImageSegmentationPredictionResult.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.clearField(Descriptors.FieldDescriptor field)

clearOneof(Descriptors.OneofDescriptor oneof)

public ImageSegmentationPredictionResult.Builder clearOneof(Descriptors.OneofDescriptor oneof)

Parameter

Name	Description
oneof	OneofDescriptor

Returns

Type	Description
ImageSegmentationPredictionResult.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.clearOneof(Descriptors.OneofDescriptor oneof)

clone()

public ImageSegmentationPredictionResult.Builder clone()

Returns

Type	Description
ImageSegmentationPredictionResult.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.clone()

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

getDescriptorForType()

public Descriptors.Descriptor getDescriptorForType()

Returns

Type	Description
Descriptor

Overrides

GeneratedMessageV3.Builder<BuilderType>.getDescriptorForType()

internalGetFieldAccessorTable()

protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()

Returns

Type	Description
FieldAccessorTable

Overrides

GeneratedMessageV3.Builder<BuilderType>.internalGetFieldAccessorTable()

isInitialized()

public final boolean isInitialized()

Returns

Type	Description
boolean

Overrides

GeneratedMessageV3.Builder<BuilderType>.isInitialized()

mergeFrom(ImageSegmentationPredictionResult other)

public ImageSegmentationPredictionResult.Builder mergeFrom(ImageSegmentationPredictionResult other)

Parameter

Name	Description
other	ImageSegmentationPredictionResult

Returns

Type	Description
ImageSegmentationPredictionResult.Builder

mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

public ImageSegmentationPredictionResult.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

Parameters

Name	Description
input	CodedInputStream
extensionRegistry	ExtensionRegistryLite

Returns

Type	Description
ImageSegmentationPredictionResult.Builder

Overrides

AbstractMessage.Builder<BuilderType>.mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

Exceptions

Type	Description
IOException

mergeFrom(Message other)

public ImageSegmentationPredictionResult.Builder mergeFrom(Message other)

Parameter

Name	Description
other	Message

Returns

Type	Description
ImageSegmentationPredictionResult.Builder

Overrides

AbstractMessage.Builder<BuilderType>.mergeFrom(Message other)

mergeUnknownFields(UnknownFieldSet unknownFields)

public final ImageSegmentationPredictionResult.Builder mergeUnknownFields(UnknownFieldSet unknownFields)

Parameter

Name	Description
unknownFields	UnknownFieldSet

Returns

Type	Description
ImageSegmentationPredictionResult.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.mergeUnknownFields(UnknownFieldSet unknownFields)

setCategoryMask(String value)

public ImageSegmentationPredictionResult.Builder setCategoryMask(String value)

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;

Parameter

Name	Description
value	String The categoryMask to set.

Returns

Type	Description
ImageSegmentationPredictionResult.Builder	This builder for chaining.

setCategoryMaskBytes(ByteString value)

public ImageSegmentationPredictionResult.Builder setCategoryMaskBytes(ByteString value)

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;

Parameter

Name	Description
value	ByteString The bytes for categoryMask to set.

Returns

Type	Description
ImageSegmentationPredictionResult.Builder	This builder for chaining.

setConfidenceMask(String value)

public ImageSegmentationPredictionResult.Builder setConfidenceMask(String value)

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;

Parameter

Name	Description
value	String The confidenceMask to set.

Returns

Type	Description
ImageSegmentationPredictionResult.Builder	This builder for chaining.

setConfidenceMaskBytes(ByteString value)

public ImageSegmentationPredictionResult.Builder setConfidenceMaskBytes(ByteString value)

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;

Parameter

Name	Description
value	ByteString The bytes for confidenceMask to set.

Returns

Type	Description
ImageSegmentationPredictionResult.Builder	This builder for chaining.

setField(Descriptors.FieldDescriptor field, Object value)

public ImageSegmentationPredictionResult.Builder setField(Descriptors.FieldDescriptor field, Object value)

Parameters

Name	Description
field	FieldDescriptor
value	Object

Returns

Type	Description
ImageSegmentationPredictionResult.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.setField(Descriptors.FieldDescriptor field, Object value)

setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)

public ImageSegmentationPredictionResult.Builder setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)

Parameters

Name	Description
field	FieldDescriptor
index	int
value	Object

Returns

Type	Description
ImageSegmentationPredictionResult.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)

setUnknownFields(UnknownFieldSet unknownFields)

public final ImageSegmentationPredictionResult.Builder setUnknownFields(UnknownFieldSet unknownFields)

Parameter

Name	Description
unknownFields	UnknownFieldSet

Returns

Type	Description
ImageSegmentationPredictionResult.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.setUnknownFields(UnknownFieldSet unknownFields)