Package com.google.cloud.aiplatform.v1.schema.predict.prediction

Interface ImageSegmentationPredictionResultOrBuilder

All Superinterfaces:
com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder
All Known Implementing Classes:
ImageSegmentationPredictionResult, ImageSegmentationPredictionResult.Builder
@Generated public interface ImageSegmentationPredictionResultOrBuilder extends com.google.protobuf.MessageOrBuilder

  • Method Summary

    Modifier and Type
    Method
    Description
    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.
    com.google.protobuf.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.
    String
    getConfidenceMask()
    A one channel image which is encoded as an 8bit lossless PNG.
    com.google.protobuf.ByteString
    getConfidenceMaskBytes()
    A one channel image which is encoded as an 8bit lossless PNG.

    Methods inherited from interface com.google.protobuf.MessageLiteOrBuilder

    isInitialized

    Methods inherited from interface com.google.protobuf.MessageOrBuilder

    findInitializationErrors, getAllFields, getDefaultInstanceForType, getDescriptorForType, getField, getInitializationErrorString, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof

  • Method Details

    • getCategoryMask

      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:
      The categoryMask.

    • getCategoryMaskBytes

      com.google.protobuf.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:
      The bytes for categoryMask.

    • getConfidenceMask

      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:
      The confidenceMask.

    • getConfidenceMaskBytes

      com.google.protobuf.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:
      The bytes for confidenceMask.