Interface ImageSegmentationPredictionResultOrBuilder (3.12.0)

Version 3.12.0

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public interface ImageSegmentationPredictionResultOrBuilder extends MessageOrBuilder

Implements

MessageOrBuilder

Methods

getCategoryMask()

public abstract 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 abstract 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 abstract 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 abstract 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.