public final class ImageSegmentationPredictionResult extends GeneratedMessageV3 implements ImageSegmentationPredictionResultOrBuilder
Prediction output format for Image Segmentation.
Protobuf type
google.cloud.aiplatform.v1.schema.predict.prediction.ImageSegmentationPredictionResult
Static Fields
public static final int CATEGORY_MASK_FIELD_NUMBER
Field Value
public static final int CONFIDENCE_MASK_FIELD_NUMBER
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Static Methods
public static ImageSegmentationPredictionResult getDefaultInstance()
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public static final Descriptors.Descriptor getDescriptor()
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public static ImageSegmentationPredictionResult.Builder newBuilder()
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public static ImageSegmentationPredictionResult.Builder newBuilder(ImageSegmentationPredictionResult prototype)
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public static ImageSegmentationPredictionResult parseDelimitedFrom(InputStream input)
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public static ImageSegmentationPredictionResult parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
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public static ImageSegmentationPredictionResult parseFrom(byte[] data)
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Name | Description |
data | byte[]
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public static ImageSegmentationPredictionResult parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)
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public static ImageSegmentationPredictionResult parseFrom(ByteString data)
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public static ImageSegmentationPredictionResult parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)
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public static ImageSegmentationPredictionResult parseFrom(CodedInputStream input)
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public static ImageSegmentationPredictionResult parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
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public static ImageSegmentationPredictionResult parseFrom(InputStream input)
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public static ImageSegmentationPredictionResult parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
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public static ImageSegmentationPredictionResult parseFrom(ByteBuffer data)
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public static ImageSegmentationPredictionResult parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)
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public static Parser<ImageSegmentationPredictionResult> parser()
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Methods
public boolean equals(Object obj)
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Overrides
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.
|
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.
|
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.
|
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;
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Type | Description |
ByteString | The bytes for confidenceMask.
|
public ImageSegmentationPredictionResult getDefaultInstanceForType()
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public Parser<ImageSegmentationPredictionResult> getParserForType()
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public int getSerializedSize()
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public final UnknownFieldSet getUnknownFields()
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protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
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public final boolean isInitialized()
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public ImageSegmentationPredictionResult.Builder newBuilderForType()
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protected ImageSegmentationPredictionResult.Builder newBuilderForType(GeneratedMessageV3.BuilderParent parent)
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protected Object newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)
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public ImageSegmentationPredictionResult.Builder toBuilder()
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public void writeTo(CodedOutputStream output)
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Exceptions