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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
MutableSequence[ 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 > VideoObjectTrackingPredictionResultClasses
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.
Methods
VideoObjectTrackingPredictionResult
VideoObjectTrackingPredictionResult
(
mapping
=
None
,
*
,
ignore_unknown_fields
=
False
,
**
kwargs
)
Prediction output format for Video Object Tracking.