Cloud AutoML V1beta1 Client - Class VideoClassificationAnnotation (1.5.4)

Version 1.5.4

• 2.0.3 (latest)
• 2.0.2
• 1.6.5
• 1.5.4
• 1.4.17

Beta

This library is covered by the Pre-GA Offerings Terms of the Terms of Service. Pre-GA libraries might have limited support, and changes to pre-GA libraries might not be compatible with other pre-GA versions. For more information, see the launch stage descriptions.

Reference documentation and code samples for the Cloud AutoML V1beta1 Client class VideoClassificationAnnotation.

Contains annotation details specific to video classification.

Generated from protobuf message google.cloud.automl.v1beta1.VideoClassificationAnnotation

Namespace

Google \ Cloud \ AutoMl \ V1beta1

Methods

__construct

Constructor.

Parameters
Name	Description
data	array Optional. Data for populating the Message object.
↳ type	string Output only. Expresses the type of video classification. Possible values: * segment - Classification done on a specified by user time segment of a video. AnnotationSpec is answered to be present in that time segment, if it is present in any part of it. The video ML model evaluations are done only for this type of classification. * shot- Shot-level classification. AutoML Video Intelligence determines the boundaries for each camera shot in the entire segment of the video that user specified in the request configuration. AutoML Video Intelligence then returns labels and their confidence scores for each detected shot, along with the start and end time of the shot. WARNING: Model evaluation is not done for this classification type, the quality of it depends on training data, but there are no metrics provided to describe that quality. * 1s_interval - AutoML Video Intelligence returns labels and their confidence scores for each second of the entire segment of the video that user specified in the request configuration. WARNING: Model evaluation is not done for this classification type, the quality of it depends on training data, but there are no metrics provided to describe that quality.
↳ classification_annotation	Google\Cloud\AutoMl\V1beta1\ClassificationAnnotation Output only . The classification details of this annotation.
↳ time_segment	Google\Cloud\AutoMl\V1beta1\TimeSegment Output only . The time segment of the video to which the annotation applies.

getType

Output only. Expresses the type of video classification. Possible values:

• segment - Classification done on a specified by user time segment of a video. AnnotationSpec is answered to be present in that time segment, if it is present in any part of it. The video ML model evaluations are done only for this type of classification.

• shot- Shot-level classification. AutoML Video Intelligence determines the boundaries for each camera shot in the entire segment of the video that user specified in the request configuration. AutoML Video Intelligence then returns labels and their confidence scores for each detected shot, along with the start and end time of the shot. WARNING: Model evaluation is not done for this classification type, the quality of it depends on training data, but there are no metrics provided to describe that quality.

• 1s_interval - AutoML Video Intelligence returns labels and their confidence scores for each second of the entire segment of the video that user specified in the request configuration. WARNING: Model evaluation is not done for this classification type, the quality of it depends on training data, but there are no metrics provided to describe that quality.

Returns
Type	Description
string

setType

Output only. Expresses the type of video classification. Possible values:

• segment - Classification done on a specified by user time segment of a video. AnnotationSpec is answered to be present in that time segment, if it is present in any part of it. The video ML model evaluations are done only for this type of classification.

• shot- Shot-level classification. AutoML Video Intelligence determines the boundaries for each camera shot in the entire segment of the video that user specified in the request configuration. AutoML Video Intelligence then returns labels and their confidence scores for each detected shot, along with the start and end time of the shot. WARNING: Model evaluation is not done for this classification type, the quality of it depends on training data, but there are no metrics provided to describe that quality.

• 1s_interval - AutoML Video Intelligence returns labels and their confidence scores for each second of the entire segment of the video that user specified in the request configuration. WARNING: Model evaluation is not done for this classification type, the quality of it depends on training data, but there are no metrics provided to describe that quality.

Parameter
Name	Description
var	string

Returns
Type	Description
$this

getClassificationAnnotation

Output only . The classification details of this annotation.

Returns
Type	Description
Google\Cloud\AutoMl\V1beta1\ClassificationAnnotation|null

hasClassificationAnnotation

clearClassificationAnnotation

setClassificationAnnotation

Output only . The classification details of this annotation.

Parameter
Name	Description
var	Google\Cloud\AutoMl\V1beta1\ClassificationAnnotation

Returns
Type	Description
$this

getTimeSegment

Output only . The time segment of the video to which the annotation applies.

Returns
Type	Description
Google\Cloud\AutoMl\V1beta1\TimeSegment|null

hasTimeSegment

clearTimeSegment

setTimeSegment

Output only . The time segment of the video to which the annotation applies.

Parameter
Name	Description
var	Google\Cloud\AutoMl\V1beta1\TimeSegment

Returns
Type	Description
$this