- 0.61.0 (latest)
- 0.60.0
- 0.59.0
- 0.58.0
- 0.57.0
- 0.56.0
- 0.55.0
- 0.54.0
- 0.53.0
- 0.52.0
- 0.51.0
- 0.50.0
- 0.49.0
- 0.48.0
- 0.47.0
- 0.46.0
- 0.45.0
- 0.44.0
- 0.43.0
- 0.42.0
- 0.41.0
- 0.40.0
- 0.39.0
- 0.38.0
- 0.37.0
- 0.36.0
- 0.35.0
- 0.34.0
- 0.33.0
- 0.32.0
- 0.31.0
- 0.30.0
- 0.29.0
- 0.28.0
- 0.27.0
- 0.26.0
- 0.25.0
- 0.24.0
- 0.23.0
- 0.22.0
- 0.21.0
- 0.20.0
- 0.19.0
- 0.18.0
- 0.17.0
- 0.16.0
- 0.15.0
- 0.14.0
- 0.13.0
- 0.12.0
- 0.11.0
- 0.10.0
- 0.9.1
- 0.8.0
- 0.7.0
- 0.6.0
- 0.5.0
- 0.4.0
- 0.3.0
- 0.2.0
- 0.1.0
Reference documentation and code samples for the Vertex AI V1 API class Google::Cloud::AIPlatform::V1::Schema::Predict::Prediction::VideoClassificationPredictionResult.
Prediction output format for Video Classification.
Inherits
- Object
Extended By
- Google::Protobuf::MessageExts::ClassMethods
Includes
- Google::Protobuf::MessageExts
Methods
#confidence
def confidence() -> ::Google::Protobuf::FloatValue
Returns
- (::Google::Protobuf::FloatValue) — The Model's confidence in correction of this prediction, higher value means higher confidence.
#confidence=
def confidence=(value) -> ::Google::Protobuf::FloatValue
Parameter
- value (::Google::Protobuf::FloatValue) — The Model's confidence in correction of this prediction, higher value means higher confidence.
Returns
- (::Google::Protobuf::FloatValue) — The Model's confidence in correction of this prediction, higher value means higher confidence.
#display_name
def display_name() -> ::String
Returns
- (::String) — The display name of the AnnotationSpec that had been identified.
#display_name=
def display_name=(value) -> ::String
Parameter
- value (::String) — The display name of the AnnotationSpec that had been identified.
Returns
- (::String) — The display name of the AnnotationSpec that had been identified.
#id
def id() -> ::String
Returns
- (::String) — The resource ID of the AnnotationSpec that had been identified.
#id=
def id=(value) -> ::String
Parameter
- value (::String) — The resource ID of the AnnotationSpec that had been identified.
Returns
- (::String) — The resource ID of the AnnotationSpec that had been identified.
#time_segment_end
def time_segment_end() -> ::Google::Protobuf::Duration
Returns
- (::Google::Protobuf::Duration) — The end, exclusive, of the video's time segment in which the AnnotationSpec has been identified. 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. Note that for 'segment-classification' prediction type, this equals the original 'timeSegmentEnd' from the input instance, for other types it is the end of a shot or a 1 second interval respectively.
#time_segment_end=
def time_segment_end=(value) -> ::Google::Protobuf::Duration
Parameter
- value (::Google::Protobuf::Duration) — The end, exclusive, of the video's time segment in which the AnnotationSpec has been identified. 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. Note that for 'segment-classification' prediction type, this equals the original 'timeSegmentEnd' from the input instance, for other types it is the end of a shot or a 1 second interval respectively.
Returns
- (::Google::Protobuf::Duration) — The end, exclusive, of the video's time segment in which the AnnotationSpec has been identified. 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. Note that for 'segment-classification' prediction type, this equals the original 'timeSegmentEnd' from the input instance, for other types it is the end of a shot or a 1 second interval respectively.
#time_segment_start
def time_segment_start() -> ::Google::Protobuf::Duration
Returns
- (::Google::Protobuf::Duration) — The beginning, inclusive, of the video's time segment in which the AnnotationSpec has been identified. 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. Note that for 'segment-classification' prediction type, this equals the original 'timeSegmentStart' from the input instance, for other types it is the start of a shot or a 1 second interval respectively.
#time_segment_start=
def time_segment_start=(value) -> ::Google::Protobuf::Duration
Parameter
- value (::Google::Protobuf::Duration) — The beginning, inclusive, of the video's time segment in which the AnnotationSpec has been identified. 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. Note that for 'segment-classification' prediction type, this equals the original 'timeSegmentStart' from the input instance, for other types it is the start of a shot or a 1 second interval respectively.
Returns
- (::Google::Protobuf::Duration) — The beginning, inclusive, of the video's time segment in which the AnnotationSpec has been identified. 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. Note that for 'segment-classification' prediction type, this equals the original 'timeSegmentStart' from the input instance, for other types it is the start of a shot or a 1 second interval respectively.
#type
def type() -> ::String
Returns
-
(::String) —
The type of the prediction. The requested types can be configured via parameters. This will be one of
- segment-classification
- shot-classification
- one-sec-interval-classification
#type=
def type=(value) -> ::String
Parameter
-
value (::String) —
The type of the prediction. The requested types can be configured via parameters. This will be one of
- segment-classification
- shot-classification
- one-sec-interval-classification
Returns
-
(::String) —
The type of the prediction. The requested types can be configured via parameters. This will be one of
- segment-classification
- shot-classification
- one-sec-interval-classification