Class ImageSegmentationPredictionResult.Builder (3.46.0)

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

Prediction output format for Image Segmentation.

Protobuf type google.cloud.aiplatform.v1beta1.schema.predict.prediction.ImageSegmentationPredictionResult

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

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

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

clearOneof(Descriptors.OneofDescriptor oneof)

public ImageSegmentationPredictionResult.Builder clearOneof(Descriptors.OneofDescriptor oneof)
Parameter
Name Description
oneof OneofDescriptor
Returns
Type Description
ImageSegmentationPredictionResult.Builder
Overrides

clone()

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

getDescriptorForType()

public Descriptors.Descriptor getDescriptorForType()
Returns
Type Description
Descriptor
Overrides

internalGetFieldAccessorTable()

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

isInitialized()

public final boolean isInitialized()
Returns
Type Description
boolean
Overrides

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
Exceptions
Type Description
IOException

mergeFrom(Message other)

public ImageSegmentationPredictionResult.Builder mergeFrom(Message other)
Parameter
Name Description
other Message
Returns
Type Description
ImageSegmentationPredictionResult.Builder
Overrides

mergeUnknownFields(UnknownFieldSet unknownFields)

public final ImageSegmentationPredictionResult.Builder mergeUnknownFields(UnknownFieldSet unknownFields)
Parameter
Name Description
unknownFields UnknownFieldSet
Returns
Type Description
ImageSegmentationPredictionResult.Builder
Overrides

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

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

setUnknownFields(UnknownFieldSet unknownFields)

public final ImageSegmentationPredictionResult.Builder setUnknownFields(UnknownFieldSet unknownFields)
Parameter
Name Description
unknownFields UnknownFieldSet
Returns
Type Description
ImageSegmentationPredictionResult.Builder
Overrides