public final class VideoClassificationPredictionResult extends GeneratedMessageV3 implements VideoClassificationPredictionResultOrBuilder
Prediction output format for Video Classification.
Protobuf type
google.cloud.aiplatform.v1beta1.schema.predict.prediction.VideoClassificationPredictionResult
Static Fields
public static final int CONFIDENCE_FIELD_NUMBER
Field Value
public static final int DISPLAY_NAME_FIELD_NUMBER
Field Value
public static final int ID_FIELD_NUMBER
Field Value
public static final int TIME_SEGMENT_END_FIELD_NUMBER
Field Value
public static final int TIME_SEGMENT_START_FIELD_NUMBER
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public static final int TYPE_FIELD_NUMBER
Field Value
Static Methods
public static VideoClassificationPredictionResult getDefaultInstance()
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public static final Descriptors.Descriptor getDescriptor()
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public static VideoClassificationPredictionResult.Builder newBuilder()
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public static VideoClassificationPredictionResult.Builder newBuilder(VideoClassificationPredictionResult prototype)
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public static VideoClassificationPredictionResult parseDelimitedFrom(InputStream input)
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Exceptions
public static VideoClassificationPredictionResult parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
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public static VideoClassificationPredictionResult parseFrom(byte[] data)
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Name | Description |
data | byte[]
|
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public static VideoClassificationPredictionResult parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)
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public static VideoClassificationPredictionResult parseFrom(ByteString data)
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public static VideoClassificationPredictionResult parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)
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public static VideoClassificationPredictionResult parseFrom(CodedInputStream input)
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public static VideoClassificationPredictionResult parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
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public static VideoClassificationPredictionResult parseFrom(InputStream input)
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public static VideoClassificationPredictionResult parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
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public static VideoClassificationPredictionResult parseFrom(ByteBuffer data)
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public static VideoClassificationPredictionResult parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)
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public static Parser<VideoClassificationPredictionResult> parser()
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Methods
public boolean equals(Object obj)
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Overrides
public FloatValue getConfidence()
The Model's confidence in correction of this prediction, higher
value means higher confidence.
.google.protobuf.FloatValue confidence = 6;
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public FloatValueOrBuilder getConfidenceOrBuilder()
The Model's confidence in correction of this prediction, higher
value means higher confidence.
.google.protobuf.FloatValue confidence = 6;
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public VideoClassificationPredictionResult getDefaultInstanceForType()
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public String getDisplayName()
The display name of the AnnotationSpec that had been identified.
string display_name = 2;
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Type | Description |
String | The displayName.
|
public ByteString getDisplayNameBytes()
The display name of the AnnotationSpec that had been identified.
string display_name = 2;
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Type | Description |
ByteString | The bytes for displayName.
|
The resource ID of the AnnotationSpec that had been identified.
string id = 1;
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public ByteString getIdBytes()
The resource ID of the AnnotationSpec that had been identified.
string id = 1;
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public Parser<VideoClassificationPredictionResult> getParserForType()
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Overrides
public int getSerializedSize()
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Overrides
public Duration getTimeSegmentEnd()
The end, exclusive, of the video's time segment in which the
AnnotationSpec has been identified. Expressed as a number of seconds as
measured from the start of the video, with fractions up to a microsecond
precision, and with "s" appended at the end. Note that for
'segment-classification' prediction type, this equals the original
'timeSegmentEnd' from the input instance, for other types it is the end
of a shot or a 1 second interval respectively.
.google.protobuf.Duration time_segment_end = 5;
Returns
Type | Description |
Duration | The timeSegmentEnd.
|
public DurationOrBuilder getTimeSegmentEndOrBuilder()
The end, exclusive, of the video's time segment in which the
AnnotationSpec has been identified. Expressed as a number of seconds as
measured from the start of the video, with fractions up to a microsecond
precision, and with "s" appended at the end. Note that for
'segment-classification' prediction type, this equals the original
'timeSegmentEnd' from the input instance, for other types it is the end
of a shot or a 1 second interval respectively.
.google.protobuf.Duration time_segment_end = 5;
Returns
public Duration getTimeSegmentStart()
The beginning, inclusive, of the video's time segment in which the
AnnotationSpec has been identified. Expressed as a number of seconds as
measured from the start of the video, with fractions up to a microsecond
precision, and with "s" appended at the end. Note that for
'segment-classification' prediction type, this equals the original
'timeSegmentStart' from the input instance, for other types it is the
start of a shot or a 1 second interval respectively.
.google.protobuf.Duration time_segment_start = 4;
Returns
Type | Description |
Duration | The timeSegmentStart.
|
public DurationOrBuilder getTimeSegmentStartOrBuilder()
The beginning, inclusive, of the video's time segment in which the
AnnotationSpec has been identified. Expressed as a number of seconds as
measured from the start of the video, with fractions up to a microsecond
precision, and with "s" appended at the end. Note that for
'segment-classification' prediction type, this equals the original
'timeSegmentStart' from the input instance, for other types it is the
start of a shot or a 1 second interval respectively.
.google.protobuf.Duration time_segment_start = 4;
Returns
The type of the prediction. The requested types can be configured
via parameters. This will be one of
- segment-classification
- shot-classification
- one-sec-interval-classification
string type = 3;
Returns
Type | Description |
String | The type.
|
public ByteString getTypeBytes()
The type of the prediction. The requested types can be configured
via parameters. This will be one of
- segment-classification
- shot-classification
- one-sec-interval-classification
string type = 3;
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public final UnknownFieldSet getUnknownFields()
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Overrides
public boolean hasConfidence()
The Model's confidence in correction of this prediction, higher
value means higher confidence.
.google.protobuf.FloatValue confidence = 6;
Returns
Type | Description |
boolean | Whether the confidence field is set.
|
public boolean hasTimeSegmentEnd()
The end, exclusive, of the video's time segment in which the
AnnotationSpec has been identified. Expressed as a number of seconds as
measured from the start of the video, with fractions up to a microsecond
precision, and with "s" appended at the end. Note that for
'segment-classification' prediction type, this equals the original
'timeSegmentEnd' from the input instance, for other types it is the end
of a shot or a 1 second interval respectively.
.google.protobuf.Duration time_segment_end = 5;
Returns
Type | Description |
boolean | Whether the timeSegmentEnd field is set.
|
public boolean hasTimeSegmentStart()
The beginning, inclusive, of the video's time segment in which the
AnnotationSpec has been identified. Expressed as a number of seconds as
measured from the start of the video, with fractions up to a microsecond
precision, and with "s" appended at the end. Note that for
'segment-classification' prediction type, this equals the original
'timeSegmentStart' from the input instance, for other types it is the
start of a shot or a 1 second interval respectively.
.google.protobuf.Duration time_segment_start = 4;
Returns
Type | Description |
boolean | Whether the timeSegmentStart field is set.
|
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Overrides
protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
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public final boolean isInitialized()
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Overrides
public VideoClassificationPredictionResult.Builder newBuilderForType()
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protected VideoClassificationPredictionResult.Builder newBuilderForType(GeneratedMessageV3.BuilderParent parent)
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Overrides
protected Object newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)
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public VideoClassificationPredictionResult.Builder toBuilder()
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public void writeTo(CodedOutputStream output)
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Exceptions