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public final class ImageSegmentationPredictionResult extends GeneratedMessageV3 implements ImageSegmentationPredictionResultOrBuilder
Prediction output format for Image Segmentation.
Protobuf type
google.cloud.aiplatform.v1beta1.schema.predict.prediction.ImageSegmentationPredictionResult
Inheritance
Object > AbstractMessageLite<MessageType,BuilderType> > AbstractMessage > GeneratedMessageV3 > ImageSegmentationPredictionResultImplements
ImageSegmentationPredictionResultOrBuilderStatic Fields
CATEGORY_MASK_FIELD_NUMBER
public static final int CATEGORY_MASK_FIELD_NUMBER
Type | Description |
int |
CONFIDENCE_MASK_FIELD_NUMBER
public static final int CONFIDENCE_MASK_FIELD_NUMBER
Type | Description |
int |
Static Methods
getDefaultInstance()
public static ImageSegmentationPredictionResult getDefaultInstance()
Type | Description |
ImageSegmentationPredictionResult |
getDescriptor()
public static final Descriptors.Descriptor getDescriptor()
Type | Description |
Descriptor |
newBuilder()
public static ImageSegmentationPredictionResult.Builder newBuilder()
Type | Description |
ImageSegmentationPredictionResult.Builder |
newBuilder(ImageSegmentationPredictionResult prototype)
public static ImageSegmentationPredictionResult.Builder newBuilder(ImageSegmentationPredictionResult prototype)
Name | Description |
prototype | ImageSegmentationPredictionResult |
Type | Description |
ImageSegmentationPredictionResult.Builder |
parseDelimitedFrom(InputStream input)
public static ImageSegmentationPredictionResult parseDelimitedFrom(InputStream input)
Name | Description |
input | InputStream |
Type | Description |
ImageSegmentationPredictionResult |
Type | Description |
IOException |
parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
public static ImageSegmentationPredictionResult parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
Name | Description |
input | InputStream |
extensionRegistry | ExtensionRegistryLite |
Type | Description |
ImageSegmentationPredictionResult |
Type | Description |
IOException |
parseFrom(byte[] data)
public static ImageSegmentationPredictionResult parseFrom(byte[] data)
Name | Description |
data | byte[] |
Type | Description |
ImageSegmentationPredictionResult |
Type | Description |
InvalidProtocolBufferException |
parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)
public static ImageSegmentationPredictionResult parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)
Name | Description |
data | byte[] |
extensionRegistry | ExtensionRegistryLite |
Type | Description |
ImageSegmentationPredictionResult |
Type | Description |
InvalidProtocolBufferException |
parseFrom(ByteString data)
public static ImageSegmentationPredictionResult parseFrom(ByteString data)
Name | Description |
data | ByteString |
Type | Description |
ImageSegmentationPredictionResult |
Type | Description |
InvalidProtocolBufferException |
parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)
public static ImageSegmentationPredictionResult parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)
Name | Description |
data | ByteString |
extensionRegistry | ExtensionRegistryLite |
Type | Description |
ImageSegmentationPredictionResult |
Type | Description |
InvalidProtocolBufferException |
parseFrom(CodedInputStream input)
public static ImageSegmentationPredictionResult parseFrom(CodedInputStream input)
Name | Description |
input | CodedInputStream |
Type | Description |
ImageSegmentationPredictionResult |
Type | Description |
IOException |
parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
public static ImageSegmentationPredictionResult parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
Name | Description |
input | CodedInputStream |
extensionRegistry | ExtensionRegistryLite |
Type | Description |
ImageSegmentationPredictionResult |
Type | Description |
IOException |
parseFrom(InputStream input)
public static ImageSegmentationPredictionResult parseFrom(InputStream input)
Name | Description |
input | InputStream |
Type | Description |
ImageSegmentationPredictionResult |
Type | Description |
IOException |
parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
public static ImageSegmentationPredictionResult parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
Name | Description |
input | InputStream |
extensionRegistry | ExtensionRegistryLite |
Type | Description |
ImageSegmentationPredictionResult |
Type | Description |
IOException |
parseFrom(ByteBuffer data)
public static ImageSegmentationPredictionResult parseFrom(ByteBuffer data)
Name | Description |
data | ByteBuffer |
Type | Description |
ImageSegmentationPredictionResult |
Type | Description |
InvalidProtocolBufferException |
parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)
public static ImageSegmentationPredictionResult parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)
Name | Description |
data | ByteBuffer |
extensionRegistry | ExtensionRegistryLite |
Type | Description |
ImageSegmentationPredictionResult |
Type | Description |
InvalidProtocolBufferException |
parser()
public static Parser<ImageSegmentationPredictionResult> parser()
Type | Description |
Parser<ImageSegmentationPredictionResult> |
Methods
equals(Object obj)
public boolean equals(Object obj)
Name | Description |
obj | Object |
Type | Description |
boolean |
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;
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;
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;
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;
Type | Description |
ByteString | The bytes for confidenceMask. |
getDefaultInstanceForType()
public ImageSegmentationPredictionResult getDefaultInstanceForType()
Type | Description |
ImageSegmentationPredictionResult |
getParserForType()
public Parser<ImageSegmentationPredictionResult> getParserForType()
Type | Description |
Parser<ImageSegmentationPredictionResult> |
getSerializedSize()
public int getSerializedSize()
Type | Description |
int |
getUnknownFields()
public final UnknownFieldSet getUnknownFields()
Type | Description |
UnknownFieldSet |
hashCode()
public int hashCode()
Type | Description |
int |
internalGetFieldAccessorTable()
protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Type | Description |
FieldAccessorTable |
isInitialized()
public final boolean isInitialized()
Type | Description |
boolean |
newBuilderForType()
public ImageSegmentationPredictionResult.Builder newBuilderForType()
Type | Description |
ImageSegmentationPredictionResult.Builder |
newBuilderForType(GeneratedMessageV3.BuilderParent parent)
protected ImageSegmentationPredictionResult.Builder newBuilderForType(GeneratedMessageV3.BuilderParent parent)
Name | Description |
parent | BuilderParent |
Type | Description |
ImageSegmentationPredictionResult.Builder |
newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)
protected Object newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)
Name | Description |
unused | UnusedPrivateParameter |
Type | Description |
Object |
toBuilder()
public ImageSegmentationPredictionResult.Builder toBuilder()
Type | Description |
ImageSegmentationPredictionResult.Builder |
writeTo(CodedOutputStream output)
public void writeTo(CodedOutputStream output)
Name | Description |
output | CodedOutputStream |
Type | Description |
IOException |