Module: tflite_support.task.processor

TensorFlow Lite Task Library's processor module.

This module contains classes related to the pre-processing and post-processing steps of the Task Library.

Classes

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.