Class VideoClassificationPredictionResult (2.5.3)

public final class VideoClassificationPredictionResult extends GeneratedMessageV3 implements VideoClassificationPredictionResultOrBuilder

Prediction output format for Video Classification.

Protobuf type google.cloud.aiplatform.v1beta1.schema.predict.prediction.VideoClassificationPredictionResult

Inheritance

Object > AbstractMessageLite<MessageType,BuilderType> > AbstractMessage > GeneratedMessageV3 > VideoClassificationPredictionResult

Fields

CONFIDENCE_FIELD_NUMBER

public static final int CONFIDENCE_FIELD_NUMBER
Field Value
TypeDescription
int

DISPLAY_NAME_FIELD_NUMBER

public static final int DISPLAY_NAME_FIELD_NUMBER
Field Value
TypeDescription
int

ID_FIELD_NUMBER

public static final int ID_FIELD_NUMBER
Field Value
TypeDescription
int

TIME_SEGMENT_END_FIELD_NUMBER

public static final int TIME_SEGMENT_END_FIELD_NUMBER
Field Value
TypeDescription
int

TIME_SEGMENT_START_FIELD_NUMBER

public static final int TIME_SEGMENT_START_FIELD_NUMBER
Field Value
TypeDescription
int

TYPE_FIELD_NUMBER

public static final int TYPE_FIELD_NUMBER
Field Value
TypeDescription
int

Methods

equals(Object obj)

public boolean equals(Object obj)
Parameter
NameDescription
objObject
Returns
TypeDescription
boolean
Overrides

getConfidence()

public FloatValue getConfidence()

The Model's confidence in correction of this prediction, higher value means higher confidence.

.google.protobuf.FloatValue confidence = 6;

Returns
TypeDescription
FloatValue

The confidence.

getConfidenceOrBuilder()

public FloatValueOrBuilder getConfidenceOrBuilder()

The Model's confidence in correction of this prediction, higher value means higher confidence.

.google.protobuf.FloatValue confidence = 6;

Returns
TypeDescription
FloatValueOrBuilder

getDefaultInstance()

public static VideoClassificationPredictionResult getDefaultInstance()
Returns
TypeDescription
VideoClassificationPredictionResult

getDefaultInstanceForType()

public VideoClassificationPredictionResult getDefaultInstanceForType()
Returns
TypeDescription
VideoClassificationPredictionResult

getDescriptor()

public static final Descriptors.Descriptor getDescriptor()
Returns
TypeDescription
Descriptor

getDisplayName()

public String getDisplayName()

The display name of the AnnotationSpec that had been identified.

string display_name = 2;

Returns
TypeDescription
String

The displayName.

getDisplayNameBytes()

public ByteString getDisplayNameBytes()

The display name of the AnnotationSpec that had been identified.

string display_name = 2;

Returns
TypeDescription
ByteString

The bytes for displayName.

getId()

public String getId()

The resource ID of the AnnotationSpec that had been identified.

string id = 1;

Returns
TypeDescription
String

The id.

getIdBytes()

public ByteString getIdBytes()

The resource ID of the AnnotationSpec that had been identified.

string id = 1;

Returns
TypeDescription
ByteString

The bytes for id.

getParserForType()

public Parser<VideoClassificationPredictionResult> getParserForType()
Returns
TypeDescription
Parser<VideoClassificationPredictionResult>
Overrides

getSerializedSize()

public int getSerializedSize()
Returns
TypeDescription
int
Overrides

getTimeSegmentEnd()

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
TypeDescription
Duration

The timeSegmentEnd.

getTimeSegmentEndOrBuilder()

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
TypeDescription
DurationOrBuilder

getTimeSegmentStart()

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
TypeDescription
Duration

The timeSegmentStart.

getTimeSegmentStartOrBuilder()

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
TypeDescription
DurationOrBuilder

getType()

public String getType()

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
TypeDescription
String

The type.

getTypeBytes()

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;

Returns
TypeDescription
ByteString

The bytes for type.

getUnknownFields()

public final UnknownFieldSet getUnknownFields()
Returns
TypeDescription
UnknownFieldSet
Overrides

hasConfidence()

public boolean hasConfidence()

The Model's confidence in correction of this prediction, higher value means higher confidence.

.google.protobuf.FloatValue confidence = 6;

Returns
TypeDescription
boolean

Whether the confidence field is set.

hasTimeSegmentEnd()

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
TypeDescription
boolean

Whether the timeSegmentEnd field is set.

hasTimeSegmentStart()

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
TypeDescription
boolean

Whether the timeSegmentStart field is set.

hashCode()

public int hashCode()
Returns
TypeDescription
int
Overrides

internalGetFieldAccessorTable()

protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Returns
TypeDescription
FieldAccessorTable
Overrides

isInitialized()

public final boolean isInitialized()
Returns
TypeDescription
boolean
Overrides

newBuilder()

public static VideoClassificationPredictionResult.Builder newBuilder()
Returns
TypeDescription
VideoClassificationPredictionResult.Builder

newBuilder(VideoClassificationPredictionResult prototype)

public static VideoClassificationPredictionResult.Builder newBuilder(VideoClassificationPredictionResult prototype)
Parameter
NameDescription
prototypeVideoClassificationPredictionResult
Returns
TypeDescription
VideoClassificationPredictionResult.Builder

newBuilderForType()

public VideoClassificationPredictionResult.Builder newBuilderForType()
Returns
TypeDescription
VideoClassificationPredictionResult.Builder

newBuilderForType(GeneratedMessageV3.BuilderParent parent)

protected VideoClassificationPredictionResult.Builder newBuilderForType(GeneratedMessageV3.BuilderParent parent)
Parameter
NameDescription
parentBuilderParent
Returns
TypeDescription
VideoClassificationPredictionResult.Builder
Overrides

newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)

protected Object newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)
Parameter
NameDescription
unusedUnusedPrivateParameter
Returns
TypeDescription
Object
Overrides

parseDelimitedFrom(InputStream input)

public static VideoClassificationPredictionResult parseDelimitedFrom(InputStream input)
Parameter
NameDescription
inputInputStream
Returns
TypeDescription
VideoClassificationPredictionResult
Exceptions
TypeDescription
IOException

parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)

public static VideoClassificationPredictionResult parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
NameDescription
inputInputStream
extensionRegistryExtensionRegistryLite
Returns
TypeDescription
VideoClassificationPredictionResult
Exceptions
TypeDescription
IOException

parseFrom(byte[] data)

public static VideoClassificationPredictionResult parseFrom(byte[] data)
Parameter
NameDescription
databyte[]
Returns
TypeDescription
VideoClassificationPredictionResult
Exceptions
TypeDescription
InvalidProtocolBufferException

parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)

public static VideoClassificationPredictionResult parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)
Parameters
NameDescription
databyte[]
extensionRegistryExtensionRegistryLite
Returns
TypeDescription
VideoClassificationPredictionResult
Exceptions
TypeDescription
InvalidProtocolBufferException

parseFrom(ByteString data)

public static VideoClassificationPredictionResult parseFrom(ByteString data)
Parameter
NameDescription
dataByteString
Returns
TypeDescription
VideoClassificationPredictionResult
Exceptions
TypeDescription
InvalidProtocolBufferException

parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)

public static VideoClassificationPredictionResult parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)
Parameters
NameDescription
dataByteString
extensionRegistryExtensionRegistryLite
Returns
TypeDescription
VideoClassificationPredictionResult
Exceptions
TypeDescription
InvalidProtocolBufferException

parseFrom(CodedInputStream input)

public static VideoClassificationPredictionResult parseFrom(CodedInputStream input)
Parameter
NameDescription
inputCodedInputStream
Returns
TypeDescription
VideoClassificationPredictionResult
Exceptions
TypeDescription
IOException

parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

public static VideoClassificationPredictionResult parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
NameDescription
inputCodedInputStream
extensionRegistryExtensionRegistryLite
Returns
TypeDescription
VideoClassificationPredictionResult
Exceptions
TypeDescription
IOException

parseFrom(InputStream input)

public static VideoClassificationPredictionResult parseFrom(InputStream input)
Parameter
NameDescription
inputInputStream
Returns
TypeDescription
VideoClassificationPredictionResult
Exceptions
TypeDescription
IOException

parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)

public static VideoClassificationPredictionResult parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
NameDescription
inputInputStream
extensionRegistryExtensionRegistryLite
Returns
TypeDescription
VideoClassificationPredictionResult
Exceptions
TypeDescription
IOException

parseFrom(ByteBuffer data)

public static VideoClassificationPredictionResult parseFrom(ByteBuffer data)
Parameter
NameDescription
dataByteBuffer
Returns
TypeDescription
VideoClassificationPredictionResult
Exceptions
TypeDescription
InvalidProtocolBufferException

parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)

public static VideoClassificationPredictionResult parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)
Parameters
NameDescription
dataByteBuffer
extensionRegistryExtensionRegistryLite
Returns
TypeDescription
VideoClassificationPredictionResult
Exceptions
TypeDescription
InvalidProtocolBufferException

parser()

public static Parser<VideoClassificationPredictionResult> parser()
Returns
TypeDescription
Parser<VideoClassificationPredictionResult>

toBuilder()

public VideoClassificationPredictionResult.Builder toBuilder()
Returns
TypeDescription
VideoClassificationPredictionResult.Builder

writeTo(CodedOutputStream output)

public void writeTo(CodedOutputStream output)
Parameter
NameDescription
outputCodedOutputStream
Overrides Exceptions
TypeDescription
IOException