|---| | [ View source on GitHub](https://github.com/tensorflow/tflite-support/blob/v0.4.4/tensorflow_lite_support/python/task/processor/__init__.py) | 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`](https://developers.google.com/edge/api/tflite/python/tflite_support/task/processor/BertCluAnnotationOptions): Options for Bert CLU Annotator processor. [`class BoundingBox`](https://developers.google.com/edge/api/tflite/python/tflite_support/task/processor/BoundingBox): An integer bounding box, axis aligned. [`class CategoricalSlot`](https://developers.google.com/edge/api/tflite/python/tflite_support/task/processor/CategoricalSlot): Represents a categorical slot whose values are within a finite set. [`class Category`](https://developers.google.com/edge/api/tflite/python/tflite_support/task/processor/Category): A classification category. [`class ClassificationOptions`](https://developers.google.com/edge/api/tflite/python/tflite_support/task/processor/ClassificationOptions): Options for classification processor. [`class ClassificationResult`](https://developers.google.com/edge/api/tflite/python/tflite_support/task/processor/ClassificationResult): Contains one set of results per classifier head. [`class Classifications`](https://developers.google.com/edge/api/tflite/python/tflite_support/task/processor/Classifications): List of predicted classes (aka labels) for a given classifier head. [`class CluRequest`](https://developers.google.com/edge/api/tflite/python/tflite_support/task/processor/CluRequest): The input to CLU (Conversational Language Understanding). [`class CluResponse`](https://developers.google.com/edge/api/tflite/python/tflite_support/task/processor/CluResponse): The output of CLU. [`class ColoredLabel`](https://developers.google.com/edge/api/tflite/python/tflite_support/task/processor/ColoredLabel): Defines a label associated with an RGB color, for display purposes. [`class ConfidenceMask`](https://developers.google.com/edge/api/tflite/python/tflite_support/task/processor/ConfidenceMask): 2D-array representing the confidence mask in row major order. [`class Detection`](https://developers.google.com/edge/api/tflite/python/tflite_support/task/processor/Detection): Represents one detected object in the object detector's results. [`class DetectionOptions`](https://developers.google.com/edge/api/tflite/python/tflite_support/task/processor/DetectionOptions): Options for object detection processor. [`class DetectionResult`](https://developers.google.com/edge/api/tflite/python/tflite_support/task/processor/DetectionResult): Represents the list of detected objects. [`class Embedding`](https://developers.google.com/edge/api/tflite/python/tflite_support/task/processor/Embedding): Result produced by one of the embedder model output layers. [`class EmbeddingOptions`](https://developers.google.com/edge/api/tflite/python/tflite_support/task/processor/EmbeddingOptions): Options for embedding processor. [`class EmbeddingResult`](https://developers.google.com/edge/api/tflite/python/tflite_support/task/processor/EmbeddingResult): Embeddings produced by the Embedder. [`class FeatureVector`](https://developers.google.com/edge/api/tflite/python/tflite_support/task/processor/FeatureVector): A dense feature vector. [`class Mention`](https://developers.google.com/edge/api/tflite/python/tflite_support/task/processor/Mention): A single mention result. [`class MentionedSlot`](https://developers.google.com/edge/api/tflite/python/tflite_support/task/processor/MentionedSlot): Non-categorical slot whose values are open text extracted from the input text. [`class NearestNeighbor`](https://developers.google.com/edge/api/tflite/python/tflite_support/task/processor/NearestNeighbor): A single nearest neighbor. [`class OutputType`](https://developers.google.com/edge/api/tflite/python/tflite_support/task/processor/OutputType): An enumeration. [`class Pos`](https://developers.google.com/edge/api/tflite/python/tflite_support/task/processor/Pos): Position information of the answer relative to context. [`class QaAnswer`](https://developers.google.com/edge/api/tflite/python/tflite_support/task/processor/QaAnswer): Represents the Answer to BertQuestionAnswerer. [`class QuestionAnswererResult`](https://developers.google.com/edge/api/tflite/python/tflite_support/task/processor/QuestionAnswererResult): The list of probable answers generated by BertQuestionAnswerer. [`class SearchOptions`](https://developers.google.com/edge/api/tflite/python/tflite_support/task/processor/SearchOptions): Options for search processor. [`class SearchResult`](https://developers.google.com/edge/api/tflite/python/tflite_support/task/processor/SearchResult): Results from a search as a list of nearest neigbors. [`class Segmentation`](https://developers.google.com/edge/api/tflite/python/tflite_support/task/processor/Segmentation): Represents one Segmentation object in the image segmenter's results. [`class SegmentationOptions`](https://developers.google.com/edge/api/tflite/python/tflite_support/task/processor/SegmentationOptions): Options for segmentation processor. [`class SegmentationResult`](https://developers.google.com/edge/api/tflite/python/tflite_support/task/processor/SegmentationResult): Results of performing image segmentation.