Package com.google.cloud.aiplatform.v1beta1.schema.predict.prediction

Interface ImageSegmentationPredictionResultOrBuilder

    • Method Summary

      All Methods Instance Methods Abstract Methods 
      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 Detail

      • 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.