Class VideoObjectTrackingPredictionResult (1.8.1)

Version 1.8.1

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VideoObjectTrackingPredictionResult(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Prediction output format for Video Object Tracking.

Attributes

Name	Description
id	str The resource ID of the AnnotationSpec that had been identified.
display_name	str The display name of the AnnotationSpec that had been identified.
time_segment_start	google.protobuf.duration_pb2.Duration The beginning, inclusive, of the video's time segment in which the object instance has been detected. Expressed as a number of seconds as measured from the start of the video, with fractions up to a microsecond precision, and with "s" appended at the end.
time_segment_end	google.protobuf.duration_pb2.Duration The end, inclusive, of the video's time segment in which the object instance has been detected. Expressed as a number of seconds as measured from the start of the video, with fractions up to a microsecond precision, and with "s" appended at the end.
confidence	google.protobuf.wrappers_pb2.FloatValue The Model's confidence in correction of this prediction, higher value means higher confidence.
frames	Sequence[google.cloud.aiplatform.v1.schema.predict.prediction_v1.types.VideoObjectTrackingPredictionResult.Frame] All of the frames of the video in which a single object instance has been detected. The bounding boxes in the frames identify the same object.

Inheritance

builtins.object > proto.message.Message > VideoObjectTrackingPredictionResult

Classes

Frame

Frame(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The fields xMin, xMax, yMin, and yMax refer to a bounding box, i.e. the rectangle over the video frame pinpointing the found AnnotationSpec. The coordinates are relative to the frame size, and the point 0,0 is in the top left of the frame.