detection Kind
Single element of detections-based prediction (like `object_detection_prediction`).
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Single element of detections-based prediction (like `object_detection_prediction`).
Single element of detections-based prediction (like object_detection_prediction)
Data representation
This kind has a different internal and external representation. External representation is relevant for integration with your workflow, whereas internal one is an implementation detail useful for Workflows blocks development.
External data representation is relevant for Workflows clients - it dictates what is the input and output format of data.
Type: Tuple[list, Optional[list], Optional[float], Optional[float], Optional[int], dict]
Internal data representation is relevant for Workflows blocks creators - this is the type that will be provided by Execution Engine in runtime to the block that consumes input of this kind.
Type: Tuple[np.ndarray, Optional[np.ndarray], Optional[float], Optional[float], Optional[int], dict]
This kind represents single detection in prediction from a model that detects multiple elements (like object detection or instance segmentation model). It is represented as a tuple that is created from sv.Detections(...) object while iterating over its content. workflows utilises data property of sv.Detections(...) to keep additional metadata which will be available in the tuple. Some properties may not always be present. Take a look at documentation of object_detection_prediction, instance_segmentation_prediction, keypoint_detection_prediction kinds to discover which additional metadata are available.
More technical details about iterating over sv.Detections(...)
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