Reference documentation and code samples for the AI Platform Data Labeling Service V1beta1 API class Google::Cloud::DataLabeling::V1beta1::VideoClassificationConfig.
Config for video classification human labeling task. Currently two types of video classification are supported:
- Assign labels on the entire video.
- Split the video into multiple video clips based on camera shot, and assign labels on each video clip.
Inherits
- Object
Extended By
- Google::Protobuf::MessageExts::ClassMethods
Includes
- Google::Protobuf::MessageExts
Methods
#annotation_spec_set_configs
def annotation_spec_set_configs() -> ::Array<::Google::Cloud::DataLabeling::V1beta1::VideoClassificationConfig::AnnotationSpecSetConfig>
Returns
- (::Array<::Google::Cloud::DataLabeling::V1beta1::VideoClassificationConfig::AnnotationSpecSetConfig>) — Required. The list of annotation spec set configs. Since watching a video clip takes much longer time than an image, we support label with multiple AnnotationSpecSet at the same time. Labels in each AnnotationSpecSet will be shown in a group to contributors. Contributors can select one or more (depending on whether to allow multi label) from each group.
#annotation_spec_set_configs=
def annotation_spec_set_configs=(value) -> ::Array<::Google::Cloud::DataLabeling::V1beta1::VideoClassificationConfig::AnnotationSpecSetConfig>
Parameter
- value (::Array<::Google::Cloud::DataLabeling::V1beta1::VideoClassificationConfig::AnnotationSpecSetConfig>) — Required. The list of annotation spec set configs. Since watching a video clip takes much longer time than an image, we support label with multiple AnnotationSpecSet at the same time. Labels in each AnnotationSpecSet will be shown in a group to contributors. Contributors can select one or more (depending on whether to allow multi label) from each group.
Returns
- (::Array<::Google::Cloud::DataLabeling::V1beta1::VideoClassificationConfig::AnnotationSpecSetConfig>) — Required. The list of annotation spec set configs. Since watching a video clip takes much longer time than an image, we support label with multiple AnnotationSpecSet at the same time. Labels in each AnnotationSpecSet will be shown in a group to contributors. Contributors can select one or more (depending on whether to allow multi label) from each group.
#apply_shot_detection
def apply_shot_detection() -> ::Boolean
Returns
- (::Boolean) — Optional. Option to apply shot detection on the video.
#apply_shot_detection=
def apply_shot_detection=(value) -> ::Boolean
Parameter
- value (::Boolean) — Optional. Option to apply shot detection on the video.
Returns
- (::Boolean) — Optional. Option to apply shot detection on the video.