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public static final class VideoClassificationPredictionParams.Builder extends GeneratedMessageV3.Builder<VideoClassificationPredictionParams.Builder> implements VideoClassificationPredictionParamsOrBuilderPrediction model parameters for Video Classification.
Protobuf type
google.cloud.aiplatform.v1.schema.predict.params.VideoClassificationPredictionParams
Inheritance
Object > AbstractMessageLite.Builder<MessageType,BuilderType> > AbstractMessage.Builder<BuilderType> > GeneratedMessageV3.Builder > VideoClassificationPredictionParams.BuilderImplements
VideoClassificationPredictionParamsOrBuilderMethods
addRepeatedField(Descriptors.FieldDescriptor field, Object value)
public VideoClassificationPredictionParams.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)| Name | Description |
| field | FieldDescriptor |
| value | Object |
| Type | Description |
| VideoClassificationPredictionParams.Builder |
build()
public VideoClassificationPredictionParams build()| Type | Description |
| VideoClassificationPredictionParams |
buildPartial()
public VideoClassificationPredictionParams buildPartial()| Type | Description |
| VideoClassificationPredictionParams |
clear()
public VideoClassificationPredictionParams.Builder clear()| Type | Description |
| VideoClassificationPredictionParams.Builder |
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;
| Type | Description |
| VideoClassificationPredictionParams.Builder | This builder for chaining. |
clearField(Descriptors.FieldDescriptor field)
public VideoClassificationPredictionParams.Builder clearField(Descriptors.FieldDescriptor field)| Name | Description |
| field | FieldDescriptor |
| Type | Description |
| VideoClassificationPredictionParams.Builder |
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;
| Type | Description |
| VideoClassificationPredictionParams.Builder | 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;
| Type | Description |
| VideoClassificationPredictionParams.Builder | This builder for chaining. |
clearOneof(Descriptors.OneofDescriptor oneof)
public VideoClassificationPredictionParams.Builder clearOneof(Descriptors.OneofDescriptor oneof)| Name | Description |
| oneof | OneofDescriptor |
| Type | Description |
| VideoClassificationPredictionParams.Builder |
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;
| Type | Description |
| VideoClassificationPredictionParams.Builder | 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;
| Type | Description |
| VideoClassificationPredictionParams.Builder | This builder for chaining. |
clone()
public VideoClassificationPredictionParams.Builder clone()| Type | Description |
| VideoClassificationPredictionParams.Builder |
getConfidenceThreshold()
public float getConfidenceThreshold()The Model only returns predictions with at least this confidence score. Default value is 0.0
float confidence_threshold = 1;
| Type | Description |
| float | The confidenceThreshold. |
getDefaultInstanceForType()
public VideoClassificationPredictionParams getDefaultInstanceForType()| Type | Description |
| VideoClassificationPredictionParams |
getDescriptor()
public static final Descriptors.Descriptor getDescriptor()| Type | Description |
| Descriptor |
getDescriptorForType()
public Descriptors.Descriptor getDescriptorForType()| Type | Description |
| Descriptor |
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;
| Type | Description |
| int | The maxPredictions. |
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;
| Type | Description |
| boolean | The oneSecIntervalClassification. |
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;
| Type | Description |
| boolean | The segmentClassification. |
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;
| Type | Description |
| boolean | The shotClassification. |
internalGetFieldAccessorTable()
protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()| Type | Description |
| FieldAccessorTable |
isInitialized()
public final boolean isInitialized()| Type | Description |
| boolean |
mergeFrom(VideoClassificationPredictionParams other)
public VideoClassificationPredictionParams.Builder mergeFrom(VideoClassificationPredictionParams other)| Name | Description |
| other | VideoClassificationPredictionParams |
| Type | Description |
| VideoClassificationPredictionParams.Builder |
mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
public VideoClassificationPredictionParams.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)| Name | Description |
| input | CodedInputStream |
| extensionRegistry | ExtensionRegistryLite |
| Type | Description |
| VideoClassificationPredictionParams.Builder |
| Type | Description |
| IOException |
mergeFrom(Message other)
public VideoClassificationPredictionParams.Builder mergeFrom(Message other)| Name | Description |
| other | Message |
| Type | Description |
| VideoClassificationPredictionParams.Builder |
mergeUnknownFields(UnknownFieldSet unknownFields)
public final VideoClassificationPredictionParams.Builder mergeUnknownFields(UnknownFieldSet unknownFields)| Name | Description |
| unknownFields | UnknownFieldSet |
| Type | Description |
| VideoClassificationPredictionParams.Builder |
setConfidenceThreshold(float value)
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;
| Name | Description |
| value | floatThe confidenceThreshold to set. |
| Type | Description |
| VideoClassificationPredictionParams.Builder | This builder for chaining. |
setField(Descriptors.FieldDescriptor field, Object value)
public VideoClassificationPredictionParams.Builder setField(Descriptors.FieldDescriptor field, Object value)| Name | Description |
| field | FieldDescriptor |
| value | Object |
| Type | Description |
| VideoClassificationPredictionParams.Builder |
setMaxPredictions(int value)
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;
| Name | Description |
| value | intThe maxPredictions to set. |
| Type | Description |
| VideoClassificationPredictionParams.Builder | This builder for chaining. |
setOneSecIntervalClassification(boolean value)
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;
| Name | Description |
| value | booleanThe oneSecIntervalClassification to set. |
| Type | Description |
| VideoClassificationPredictionParams.Builder | This builder for chaining. |
setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
public VideoClassificationPredictionParams.Builder setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)| Name | Description |
| field | FieldDescriptor |
| index | int |
| value | Object |
| Type | Description |
| VideoClassificationPredictionParams.Builder |
setSegmentClassification(boolean value)
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;
| Name | Description |
| value | booleanThe segmentClassification to set. |
| Type | Description |
| VideoClassificationPredictionParams.Builder | This builder for chaining. |
setShotClassification(boolean value)
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;
| Name | Description |
| value | booleanThe shotClassification to set. |
| Type | Description |
| VideoClassificationPredictionParams.Builder | This builder for chaining. |
setUnknownFields(UnknownFieldSet unknownFields)
public final VideoClassificationPredictionParams.Builder setUnknownFields(UnknownFieldSet unknownFields)| Name | Description |
| unknownFields | UnknownFieldSet |
| Type | Description |
| VideoClassificationPredictionParams.Builder |