public final class VideoClassificationPredictionParams extends GeneratedMessageV3 implements VideoClassificationPredictionParamsOrBuilder
Prediction model parameters for Video Classification.
Protobuf type
google.cloud.aiplatform.v1.schema.predict.params.VideoClassificationPredictionParams
Static Fields
public static final int CONFIDENCE_THRESHOLD_FIELD_NUMBER
| Field Value |
|---|
| Type | Description |
int | |
public static final int MAX_PREDICTIONS_FIELD_NUMBER
| Field Value |
|---|
| Type | Description |
int | |
public static final int ONE_SEC_INTERVAL_CLASSIFICATION_FIELD_NUMBER
| Field Value |
|---|
| Type | Description |
int | |
public static final int SEGMENT_CLASSIFICATION_FIELD_NUMBER
| Field Value |
|---|
| Type | Description |
int | |
public static final int SHOT_CLASSIFICATION_FIELD_NUMBER
| Field Value |
|---|
| Type | Description |
int | |
Static Methods
public static VideoClassificationPredictionParams getDefaultInstance()
public static final Descriptors.Descriptor getDescriptor()
public static VideoClassificationPredictionParams.Builder newBuilder()
public static VideoClassificationPredictionParams.Builder newBuilder(VideoClassificationPredictionParams prototype)
public static VideoClassificationPredictionParams parseDelimitedFrom(InputStream input)
public static VideoClassificationPredictionParams parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
public static VideoClassificationPredictionParams parseFrom(byte[] data)
| Parameter |
|---|
| Name | Description |
data | byte[]
|
public static VideoClassificationPredictionParams parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)
public static VideoClassificationPredictionParams parseFrom(ByteString data)
public static VideoClassificationPredictionParams parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)
public static VideoClassificationPredictionParams parseFrom(CodedInputStream input)
public static VideoClassificationPredictionParams parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
public static VideoClassificationPredictionParams parseFrom(InputStream input)
public static VideoClassificationPredictionParams parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
public static VideoClassificationPredictionParams parseFrom(ByteBuffer data)
public static VideoClassificationPredictionParams parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)
public static Parser<VideoClassificationPredictionParams> parser()
Methods
public boolean equals(Object obj)
| Parameter |
|---|
| Name | Description |
obj | Object
|
Overrides
public float getConfidenceThreshold()
The Model only returns predictions with at least this confidence score.
Default value is 0.0
float confidence_threshold = 1;
| Returns |
|---|
| Type | Description |
float | The confidenceThreshold.
|
public VideoClassificationPredictionParams getDefaultInstanceForType()
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;
| Returns |
|---|
| Type | Description |
int | The maxPredictions.
|
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;
| Returns |
|---|
| Type | Description |
boolean | The oneSecIntervalClassification.
|
public Parser<VideoClassificationPredictionParams> getParserForType()
Overrides
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;
| Returns |
|---|
| Type | Description |
boolean | The segmentClassification.
|
public int getSerializedSize()
| Returns |
|---|
| Type | Description |
int | |
Overrides
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;
| Returns |
|---|
| Type | Description |
boolean | The shotClassification.
|
public final UnknownFieldSet getUnknownFields()
Overrides
| Returns |
|---|
| Type | Description |
int | |
Overrides
protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Overrides
public final boolean isInitialized()
Overrides
public VideoClassificationPredictionParams.Builder newBuilderForType()
protected VideoClassificationPredictionParams.Builder newBuilderForType(GeneratedMessageV3.BuilderParent parent)
Overrides
protected Object newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)
Overrides
public VideoClassificationPredictionParams.Builder toBuilder()
public void writeTo(CodedOutputStream output)
Overrides
