Package com.google.cloud.aiplatform.v1.schema.predict.params

Class VideoClassificationPredictionParams.Builder

    • Method Detail

      • getDescriptor

        public static final com.google.protobuf.Descriptors.Descriptor getDescriptor()

      • internalGetFieldAccessorTable

        protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
        Specified by:
        internalGetFieldAccessorTable in class com.google.protobuf.GeneratedMessageV3.Builder<VideoClassificationPredictionParams.Builder>

      • getDescriptorForType

        public com.google.protobuf.Descriptors.Descriptor getDescriptorForType()
        Specified by:
        getDescriptorForType in interface com.google.protobuf.Message.Builder
        Specified by:
        getDescriptorForType in interface com.google.protobuf.MessageOrBuilder
        Overrides:
        getDescriptorForType in class com.google.protobuf.GeneratedMessageV3.Builder<VideoClassificationPredictionParams.Builder>

      • getDefaultInstanceForType

        public VideoClassificationPredictionParams getDefaultInstanceForType()
        Specified by:
        getDefaultInstanceForType in interface com.google.protobuf.MessageLiteOrBuilder
        Specified by:
        getDefaultInstanceForType in interface com.google.protobuf.MessageOrBuilder

      • build

        public VideoClassificationPredictionParams build()
        Specified by:
        build in interface com.google.protobuf.Message.Builder
        Specified by:
        build in interface com.google.protobuf.MessageLite.Builder

      • buildPartial

        public VideoClassificationPredictionParams buildPartial()
        Specified by:
        buildPartial in interface com.google.protobuf.Message.Builder
        Specified by:
        buildPartial in interface com.google.protobuf.MessageLite.Builder

      • isInitialized

        public final boolean isInitialized()
        Specified by:
        isInitialized in interface com.google.protobuf.MessageLiteOrBuilder
        Overrides:
        isInitialized in class com.google.protobuf.GeneratedMessageV3.Builder<VideoClassificationPredictionParams.Builder>

      • setConfidenceThreshold

        public VideoClassificationPredictionParams.Builder setConfidenceThreshold​(float value)
         The Model only returns predictions with at least this confidence score.
 Default value is 0.0
        float confidence_threshold = 1;
        Parameters:
        value - The confidenceThreshold to set.
        Returns:
        This builder for chaining.

      • clearConfidenceThreshold

        public VideoClassificationPredictionParams.Builder clearConfidenceThreshold()
         The Model only returns predictions with at least this confidence score.
 Default value is 0.0
        float confidence_threshold = 1;
        Returns:
        This builder for chaining.

      • getMaxPredictions

        public int getMaxPredictions()
         The Model only returns up to that many top, by confidence score,
 predictions per instance. If this number is very high, the Model may return
 fewer predictions. Default value is 10,000.
        int32 max_predictions = 2;
        Specified by:
        getMaxPredictions in interface VideoClassificationPredictionParamsOrBuilder
        Returns:
        The maxPredictions.

      • setMaxPredictions

        public VideoClassificationPredictionParams.Builder setMaxPredictions​(int value)
         The Model only returns up to that many top, by confidence score,
 predictions per instance. If this number is very high, the Model may return
 fewer predictions. Default value is 10,000.
        int32 max_predictions = 2;
        Parameters:
        value - The maxPredictions to set.
        Returns:
        This builder for chaining.

      • clearMaxPredictions

        public VideoClassificationPredictionParams.Builder clearMaxPredictions()
         The Model only returns up to that many top, by confidence score,
 predictions per instance. If this number is very high, the Model may return
 fewer predictions. Default value is 10,000.
        int32 max_predictions = 2;
        Returns:
        This builder for chaining.

      • getSegmentClassification

        public boolean getSegmentClassification()
         Set to true to request segment-level classification. Vertex AI returns
 labels and their confidence scores for the entire time segment of the
 video that user specified in the input instance.
 Default value is true
        bool segment_classification = 3;
        Specified by:
        getSegmentClassification in interface VideoClassificationPredictionParamsOrBuilder
        Returns:
        The segmentClassification.

      • setSegmentClassification

        public VideoClassificationPredictionParams.Builder setSegmentClassification​(boolean value)
         Set to true to request segment-level classification. Vertex AI returns
 labels and their confidence scores for the entire time segment of the
 video that user specified in the input instance.
 Default value is true
        bool segment_classification = 3;
        Parameters:
        value - The segmentClassification to set.
        Returns:
        This builder for chaining.

      • clearSegmentClassification

        public VideoClassificationPredictionParams.Builder clearSegmentClassification()
         Set to true to request segment-level classification. Vertex AI returns
 labels and their confidence scores for the entire time segment of the
 video that user specified in the input instance.
 Default value is true
        bool segment_classification = 3;
        Returns:
        This builder for chaining.

      • getShotClassification

        public boolean getShotClassification()
         Set to true to request shot-level classification. Vertex AI determines
 the boundaries for each camera shot in the entire time segment of the
 video that user specified in the input instance. Vertex AI 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 the training data, but there are no metrics
 provided to describe that quality.
 Default value is false
        bool shot_classification = 4;
        Specified by:
        getShotClassification in interface VideoClassificationPredictionParamsOrBuilder
        Returns:
        The shotClassification.

      • setShotClassification

        public VideoClassificationPredictionParams.Builder setShotClassification​(boolean value)
         Set to true to request shot-level classification. Vertex AI determines
 the boundaries for each camera shot in the entire time segment of the
 video that user specified in the input instance. Vertex AI 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 the training data, but there are no metrics
 provided to describe that quality.
 Default value is false
        bool shot_classification = 4;
        Parameters:
        value - The shotClassification to set.
        Returns:
        This builder for chaining.

      • clearShotClassification

        public VideoClassificationPredictionParams.Builder clearShotClassification()
         Set to true to request shot-level classification. Vertex AI determines
 the boundaries for each camera shot in the entire time segment of the
 video that user specified in the input instance. Vertex AI 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 the training data, but there are no metrics
 provided to describe that quality.
 Default value is false
        bool shot_classification = 4;
        Returns:
        This builder for chaining.

      • getOneSecIntervalClassification

        public boolean getOneSecIntervalClassification()
         Set to true to request classification for a video at one-second intervals.
 Vertex AI returns labels and their confidence scores for each second of
 the entire time segment of the video that user specified in the input
 WARNING: Model evaluation is not done for this classification type, the
 quality of it depends on the training data, but there are no metrics
 provided to describe that quality. Default value is false
        bool one_sec_interval_classification = 5;
        Specified by:
        getOneSecIntervalClassification in interface VideoClassificationPredictionParamsOrBuilder
        Returns:
        The oneSecIntervalClassification.

      • setOneSecIntervalClassification

        public VideoClassificationPredictionParams.Builder setOneSecIntervalClassification​(boolean value)
         Set to true to request classification for a video at one-second intervals.
 Vertex AI returns labels and their confidence scores for each second of
 the entire time segment of the video that user specified in the input
 WARNING: Model evaluation is not done for this classification type, the
 quality of it depends on the training data, but there are no metrics
 provided to describe that quality. Default value is false
        bool one_sec_interval_classification = 5;
        Parameters:
        value - The oneSecIntervalClassification to set.
        Returns:
        This builder for chaining.

      • clearOneSecIntervalClassification

        public VideoClassificationPredictionParams.Builder clearOneSecIntervalClassification()
         Set to true to request classification for a video at one-second intervals.
 Vertex AI returns labels and their confidence scores for each second of
 the entire time segment of the video that user specified in the input
 WARNING: Model evaluation is not done for this classification type, the
 quality of it depends on the training data, but there are no metrics
 provided to describe that quality. Default value is false
        bool one_sec_interval_classification = 5;
        Returns:
        This builder for chaining.