|View source on GitHub
TensorFlow Lite Task Library's processor module.
This module contains classes related to the pre-processing and post-processing steps of the Task Library.
class BertCluAnnotationOptions: Options for Bert CLU Annotator processor.
class BoundingBox: An integer bounding box, axis aligned.
class CategoricalSlot: Represents a categorical slot whose values are within a finite set.
class Category: A classification category.
class ClassificationOptions: Options for classification processor.
class ClassificationResult: Contains one set of results per classifier head.
class Classifications: List of predicted classes (aka labels) for a given classifier head.
class CluRequest: The input to CLU (Conversational Language Understanding).
class CluResponse: The output of CLU.
class ColoredLabel: Defines a label associated with an RGB color, for display purposes.
class ConfidenceMask: 2D-array representing the confidence mask in row major order.
class Detection: Represents one detected object in the object detector's results.
class DetectionOptions: Options for object detection processor.
class DetectionResult: Represents the list of detected objects.
class Embedding: Result produced by one of the embedder model output layers.
class EmbeddingOptions: Options for embedding processor.
class EmbeddingResult: Embeddings produced by the Embedder.
class FeatureVector: A dense feature vector.
class Mention: A single mention result.
class MentionedSlot: Non-categorical slot whose values are open text extracted from the input text.
class NearestNeighbor: A single nearest neighbor.
class OutputType: An enumeration.
class Pos: Position information of the answer relative to context.
class QaAnswer: Represents the Answer to BertQuestionAnswerer.
class QuestionAnswererResult: The list of probable answers generated by BertQuestionAnswerer.
class SearchOptions: Options for search processor.
class SearchResult: Results from a search as a list of nearest neigbors.
class Segmentation: Represents one Segmentation object in the image segmenter's results.
class SegmentationOptions: Options for segmentation processor.
class SegmentationResult: Results of performing image segmentation.