Class ClassificationProto.VideoClassificationAnnotation.Builder (2.16.0)

public static final class ClassificationProto.VideoClassificationAnnotation.Builder extends GeneratedMessageV3.Builder<ClassificationProto.VideoClassificationAnnotation.Builder> implements ClassificationProto.VideoClassificationAnnotationOrBuilder

Contains annotation details specific to video classification.

Protobuf type google.cloud.automl.v1beta1.VideoClassificationAnnotation

Inheritance

Object > AbstractMessageLite.Builder<MessageType,BuilderType> > AbstractMessage.Builder<BuilderType> > GeneratedMessageV3.Builder > ClassificationProto.VideoClassificationAnnotation.Builder

Implements

ClassificationProto.VideoClassificationAnnotationOrBuilder

Inherited Members

AbstractMessage.Builder.findInitializationErrors()

AbstractMessage.Builder.getInitializationErrorString()

AbstractMessage.Builder.internalMergeFrom(AbstractMessageLite)

AbstractMessage.Builder.mergeFrom(byte[])

AbstractMessage.Builder.mergeFrom(byte[],ExtensionRegistryLite)

AbstractMessage.Builder.mergeFrom(byte[],int,int)

AbstractMessage.Builder.mergeFrom(byte[],int,int,ExtensionRegistryLite)

AbstractMessage.Builder.mergeFrom(ByteString)

AbstractMessage.Builder.mergeFrom(ByteString,ExtensionRegistryLite)

AbstractMessage.Builder.mergeFrom(CodedInputStream)

AbstractMessage.Builder.mergeFrom(CodedInputStream,ExtensionRegistryLite)

AbstractMessage.Builder.mergeFrom(Message)

AbstractMessage.Builder.mergeFrom(InputStream)

AbstractMessage.Builder.mergeFrom(InputStream,ExtensionRegistryLite)

AbstractMessage.Builder.newUninitializedMessageException(Message)

AbstractMessage.Builder.toString()

AbstractMessageLite.Builder.<T>addAll(Iterable<T>,Collection<? super T>)

AbstractMessageLite.Builder.<T>addAll(Iterable<T>,List<? super T>)

AbstractMessageLite.Builder.internalMergeFrom(MessageType)

AbstractMessageLite.Builder.mergeDelimitedFrom(InputStream)

AbstractMessageLite.Builder.mergeDelimitedFrom(InputStream,ExtensionRegistryLite)

AbstractMessageLite.Builder.mergeFrom(MessageLite)

AbstractMessageLite.Builder.newUninitializedMessageException(MessageLite)

GeneratedMessageV3.Builder.addRepeatedField(Descriptors.FieldDescriptor,Object)

GeneratedMessageV3.Builder.clear()

GeneratedMessageV3.Builder.clearField(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.clearOneof(Descriptors.OneofDescriptor)

GeneratedMessageV3.Builder.clone()

GeneratedMessageV3.Builder.getAllFields()

GeneratedMessageV3.Builder.getDescriptorForType()

GeneratedMessageV3.Builder.getField(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.getFieldBuilder(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.getOneofFieldDescriptor(Descriptors.OneofDescriptor)

GeneratedMessageV3.Builder.getParentForChildren()

GeneratedMessageV3.Builder.getRepeatedField(Descriptors.FieldDescriptor,int)

GeneratedMessageV3.Builder.getRepeatedFieldBuilder(Descriptors.FieldDescriptor,int)

GeneratedMessageV3.Builder.getRepeatedFieldCount(Descriptors.FieldDescriptor)

com.google.protobuf.GeneratedMessageV3.Builder.getUnknownFieldSetBuilder()

GeneratedMessageV3.Builder.getUnknownFields()

GeneratedMessageV3.Builder.hasField(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.hasOneof(Descriptors.OneofDescriptor)

GeneratedMessageV3.Builder.internalGetFieldAccessorTable()

GeneratedMessageV3.Builder.internalGetMapField(int)

GeneratedMessageV3.Builder.internalGetMutableMapField(int)

GeneratedMessageV3.Builder.isClean()

GeneratedMessageV3.Builder.isInitialized()

GeneratedMessageV3.Builder.markClean()

GeneratedMessageV3.Builder.mergeUnknownFields(UnknownFieldSet)

com.google.protobuf.GeneratedMessageV3.Builder.mergeUnknownLengthDelimitedField(int,com.google.protobuf.ByteString)

com.google.protobuf.GeneratedMessageV3.Builder.mergeUnknownVarintField(int,int)

GeneratedMessageV3.Builder.newBuilderForField(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.onBuilt()

GeneratedMessageV3.Builder.onChanged()

com.google.protobuf.GeneratedMessageV3.Builder.parseUnknownField(com.google.protobuf.CodedInputStream,com.google.protobuf.ExtensionRegistryLite,int)

GeneratedMessageV3.Builder.setField(Descriptors.FieldDescriptor,Object)

GeneratedMessageV3.Builder.setRepeatedField(Descriptors.FieldDescriptor,int,Object)

com.google.protobuf.GeneratedMessageV3.Builder.setUnknownFieldSetBuilder(com.google.protobuf.UnknownFieldSet.Builder)

GeneratedMessageV3.Builder.setUnknownFields(UnknownFieldSet)

GeneratedMessageV3.Builder.setUnknownFieldsProto3(UnknownFieldSet)

Object.equals(Object)

Object.finalize()

Object.getClass()

Object.hashCode()

Object.notify()

Object.notifyAll()

Object.wait()

Object.wait(long)

Object.wait(long,int)

Static Methods

getDescriptor()

public static final Descriptors.Descriptor getDescriptor()

Returns
Type	Description
`Descriptor`

Methods

addRepeatedField(Descriptors.FieldDescriptor field, Object value)

public ClassificationProto.VideoClassificationAnnotation.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)

Parameters
Name	Description
`field`	`FieldDescriptor`
`value`	`Object`

Returns
Type	Description
`ClassificationProto.VideoClassificationAnnotation.Builder`

Overrides

GeneratedMessageV3.Builder<BuilderType>.addRepeatedField(Descriptors.FieldDescriptor field, Object value)

build()

public ClassificationProto.VideoClassificationAnnotation build()

Returns
Type	Description
`ClassificationProto.VideoClassificationAnnotation`

buildPartial()

public ClassificationProto.VideoClassificationAnnotation buildPartial()

Returns
Type	Description
`ClassificationProto.VideoClassificationAnnotation`

clear()

public ClassificationProto.VideoClassificationAnnotation.Builder clear()

Returns
Type	Description
`ClassificationProto.VideoClassificationAnnotation.Builder`

Overrides

GeneratedMessageV3.Builder<BuilderType>.clear()

clearClassificationAnnotation()

public ClassificationProto.VideoClassificationAnnotation.Builder clearClassificationAnnotation()

Output only . The classification details of this annotation.

.google.cloud.automl.v1beta1.ClassificationAnnotation classification_annotation = 2;

Returns
Type	Description
`ClassificationProto.VideoClassificationAnnotation.Builder`

clearField(Descriptors.FieldDescriptor field)

public ClassificationProto.VideoClassificationAnnotation.Builder clearField(Descriptors.FieldDescriptor field)

Parameter
Name	Description
`field`	`FieldDescriptor`

Returns
Type	Description
`ClassificationProto.VideoClassificationAnnotation.Builder`

Overrides

GeneratedMessageV3.Builder<BuilderType>.clearField(Descriptors.FieldDescriptor field)

clearOneof(Descriptors.OneofDescriptor oneof)

public ClassificationProto.VideoClassificationAnnotation.Builder clearOneof(Descriptors.OneofDescriptor oneof)

Parameter
Name	Description
`oneof`	`OneofDescriptor`

Returns
Type	Description
`ClassificationProto.VideoClassificationAnnotation.Builder`

Overrides

GeneratedMessageV3.Builder<BuilderType>.clearOneof(Descriptors.OneofDescriptor oneof)

clearTimeSegment()

public ClassificationProto.VideoClassificationAnnotation.Builder clearTimeSegment()

Output only . The time segment of the video to which the annotation applies.

.google.cloud.automl.v1beta1.TimeSegment time_segment = 3;

Returns
Type	Description
`ClassificationProto.VideoClassificationAnnotation.Builder`

clearType()

public ClassificationProto.VideoClassificationAnnotation.Builder clearType()

Output only. Expresses the type of video classification. Possible values:

segment - Classification done on a specified by user time segment of a video. AnnotationSpec is answered to be present in that time segment, if it is present in any part of it. The video ML model evaluations are done only for this type of classification.
shot- Shot-level classification. AutoML Video Intelligence determines the boundaries for each camera shot in the entire segment of the video that user specified in the request configuration. AutoML Video Intelligence 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 training data, but there are no metrics provided to describe that quality.
1s_interval - AutoML Video Intelligence returns labels and their confidence scores for each second of the entire segment of the video that user specified in the request configuration. WARNING: Model evaluation is not done for this classification type, the quality of it depends on training data, but there are no metrics provided to describe that quality.

string type = 1;

Returns
Type	Description
`ClassificationProto.VideoClassificationAnnotation.Builder`	This builder for chaining.

clone()

public ClassificationProto.VideoClassificationAnnotation.Builder clone()

Returns
Type	Description
`ClassificationProto.VideoClassificationAnnotation.Builder`

Overrides

GeneratedMessageV3.Builder<BuilderType>.clone()

getClassificationAnnotation()

public ClassificationProto.ClassificationAnnotation getClassificationAnnotation()

Output only . The classification details of this annotation.

.google.cloud.automl.v1beta1.ClassificationAnnotation classification_annotation = 2;

Returns
Type	Description
`ClassificationProto.ClassificationAnnotation`	The classificationAnnotation.

getClassificationAnnotationBuilder()

public ClassificationProto.ClassificationAnnotation.Builder getClassificationAnnotationBuilder()

Output only . The classification details of this annotation.

.google.cloud.automl.v1beta1.ClassificationAnnotation classification_annotation = 2;

Returns
Type	Description
`ClassificationProto.ClassificationAnnotation.Builder`

getClassificationAnnotationOrBuilder()

public ClassificationProto.ClassificationAnnotationOrBuilder getClassificationAnnotationOrBuilder()

Output only . The classification details of this annotation.

.google.cloud.automl.v1beta1.ClassificationAnnotation classification_annotation = 2;

Returns
Type	Description
`ClassificationProto.ClassificationAnnotationOrBuilder`

getDefaultInstanceForType()

public ClassificationProto.VideoClassificationAnnotation getDefaultInstanceForType()

Returns
Type	Description
`ClassificationProto.VideoClassificationAnnotation`

getDescriptorForType()

public Descriptors.Descriptor getDescriptorForType()

Returns
Type	Description
`Descriptor`

Overrides

GeneratedMessageV3.Builder<BuilderType>.getDescriptorForType()

getTimeSegment()

public TimeSegment getTimeSegment()

Output only . The time segment of the video to which the annotation applies.

.google.cloud.automl.v1beta1.TimeSegment time_segment = 3;

Returns
Type	Description
`TimeSegment`	The timeSegment.

getTimeSegmentBuilder()

public TimeSegment.Builder getTimeSegmentBuilder()

Output only . The time segment of the video to which the annotation applies.

.google.cloud.automl.v1beta1.TimeSegment time_segment = 3;

Returns
Type	Description
`TimeSegment.Builder`

getTimeSegmentOrBuilder()

public TimeSegmentOrBuilder getTimeSegmentOrBuilder()

Output only . The time segment of the video to which the annotation applies.

.google.cloud.automl.v1beta1.TimeSegment time_segment = 3;

Returns
Type	Description
`TimeSegmentOrBuilder`

getType()

public String getType()

Output only. Expresses the type of video classification. Possible values:

segment - Classification done on a specified by user time segment of a video. AnnotationSpec is answered to be present in that time segment, if it is present in any part of it. The video ML model evaluations are done only for this type of classification.
shot- Shot-level classification. AutoML Video Intelligence determines the boundaries for each camera shot in the entire segment of the video that user specified in the request configuration. AutoML Video Intelligence 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 training data, but there are no metrics provided to describe that quality.
1s_interval - AutoML Video Intelligence returns labels and their confidence scores for each second of the entire segment of the video that user specified in the request configuration. WARNING: Model evaluation is not done for this classification type, the quality of it depends on training data, but there are no metrics provided to describe that quality.

string type = 1;

Returns
Type	Description
`String`	The type.

getTypeBytes()

public ByteString getTypeBytes()

Output only. Expresses the type of video classification. Possible values:

segment - Classification done on a specified by user time segment of a video. AnnotationSpec is answered to be present in that time segment, if it is present in any part of it. The video ML model evaluations are done only for this type of classification.
shot- Shot-level classification. AutoML Video Intelligence determines the boundaries for each camera shot in the entire segment of the video that user specified in the request configuration. AutoML Video Intelligence 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 training data, but there are no metrics provided to describe that quality.
1s_interval - AutoML Video Intelligence returns labels and their confidence scores for each second of the entire segment of the video that user specified in the request configuration. WARNING: Model evaluation is not done for this classification type, the quality of it depends on training data, but there are no metrics provided to describe that quality.

string type = 1;

Returns
Type	Description
`ByteString`	The bytes for type.

hasClassificationAnnotation()

public boolean hasClassificationAnnotation()

Output only . The classification details of this annotation.

.google.cloud.automl.v1beta1.ClassificationAnnotation classification_annotation = 2;

Returns
Type	Description
`boolean`	Whether the classificationAnnotation field is set.

hasTimeSegment()

public boolean hasTimeSegment()

Output only . The time segment of the video to which the annotation applies.

.google.cloud.automl.v1beta1.TimeSegment time_segment = 3;

Returns
Type	Description
`boolean`	Whether the timeSegment field is set.

internalGetFieldAccessorTable()

protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()

Returns
Type	Description
`FieldAccessorTable`

Overrides

GeneratedMessageV3.Builder<BuilderType>.internalGetFieldAccessorTable()

isInitialized()

public final boolean isInitialized()

Returns
Type	Description
`boolean`

Overrides

GeneratedMessageV3.Builder<BuilderType>.isInitialized()

mergeClassificationAnnotation(ClassificationProto.ClassificationAnnotation value)

public ClassificationProto.VideoClassificationAnnotation.Builder mergeClassificationAnnotation(ClassificationProto.ClassificationAnnotation value)

Output only . The classification details of this annotation.

.google.cloud.automl.v1beta1.ClassificationAnnotation classification_annotation = 2;

Parameter
Name	Description
`value`	`ClassificationProto.ClassificationAnnotation`

Returns
Type	Description
`ClassificationProto.VideoClassificationAnnotation.Builder`

mergeFrom(ClassificationProto.VideoClassificationAnnotation other)

public ClassificationProto.VideoClassificationAnnotation.Builder mergeFrom(ClassificationProto.VideoClassificationAnnotation other)

Parameter
Name	Description
`other`	`ClassificationProto.VideoClassificationAnnotation`

Returns
Type	Description
`ClassificationProto.VideoClassificationAnnotation.Builder`

mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

public ClassificationProto.VideoClassificationAnnotation.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

Parameters
Name	Description
`input`	`CodedInputStream`
`extensionRegistry`	`ExtensionRegistryLite`

Returns
Type	Description
`ClassificationProto.VideoClassificationAnnotation.Builder`

Overrides

AbstractMessage.Builder<BuilderType>.mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

Exceptions
Type	Description
`IOException`

mergeFrom(Message other)

public ClassificationProto.VideoClassificationAnnotation.Builder mergeFrom(Message other)

Parameter
Name	Description
`other`	`Message`

Returns
Type	Description
`ClassificationProto.VideoClassificationAnnotation.Builder`

Overrides

AbstractMessage.Builder<BuilderType>.mergeFrom(Message other)

mergeTimeSegment(TimeSegment value)

public ClassificationProto.VideoClassificationAnnotation.Builder mergeTimeSegment(TimeSegment value)

Output only . The time segment of the video to which the annotation applies.

.google.cloud.automl.v1beta1.TimeSegment time_segment = 3;

Parameter
Name	Description
`value`	`TimeSegment`

Returns
Type	Description
`ClassificationProto.VideoClassificationAnnotation.Builder`

mergeUnknownFields(UnknownFieldSet unknownFields)

public final ClassificationProto.VideoClassificationAnnotation.Builder mergeUnknownFields(UnknownFieldSet unknownFields)

Parameter
Name	Description
`unknownFields`	`UnknownFieldSet`

Returns
Type	Description
`ClassificationProto.VideoClassificationAnnotation.Builder`

Overrides

GeneratedMessageV3.Builder<BuilderType>.mergeUnknownFields(UnknownFieldSet unknownFields)

setClassificationAnnotation(ClassificationProto.ClassificationAnnotation value)

public ClassificationProto.VideoClassificationAnnotation.Builder setClassificationAnnotation(ClassificationProto.ClassificationAnnotation value)

Output only . The classification details of this annotation.

.google.cloud.automl.v1beta1.ClassificationAnnotation classification_annotation = 2;

Parameter
Name	Description
`value`	`ClassificationProto.ClassificationAnnotation`

Returns
Type	Description
`ClassificationProto.VideoClassificationAnnotation.Builder`

setClassificationAnnotation(ClassificationProto.ClassificationAnnotation.Builder builderForValue)

public ClassificationProto.VideoClassificationAnnotation.Builder setClassificationAnnotation(ClassificationProto.ClassificationAnnotation.Builder builderForValue)

Output only . The classification details of this annotation.

.google.cloud.automl.v1beta1.ClassificationAnnotation classification_annotation = 2;

Parameter
Name	Description
`builderForValue`	`ClassificationProto.ClassificationAnnotation.Builder`

Returns
Type	Description
`ClassificationProto.VideoClassificationAnnotation.Builder`

setField(Descriptors.FieldDescriptor field, Object value)

public ClassificationProto.VideoClassificationAnnotation.Builder setField(Descriptors.FieldDescriptor field, Object value)

Parameters
Name	Description
`field`	`FieldDescriptor`
`value`	`Object`

Returns
Type	Description
`ClassificationProto.VideoClassificationAnnotation.Builder`

Overrides

GeneratedMessageV3.Builder<BuilderType>.setField(Descriptors.FieldDescriptor field, Object value)

setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)

public ClassificationProto.VideoClassificationAnnotation.Builder setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)

Parameters
Name	Description
`field`	`FieldDescriptor`
`index`	`int`
`value`	`Object`

Returns
Type	Description
`ClassificationProto.VideoClassificationAnnotation.Builder`

Overrides

GeneratedMessageV3.Builder<BuilderType>.setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)

setTimeSegment(TimeSegment value)

public ClassificationProto.VideoClassificationAnnotation.Builder setTimeSegment(TimeSegment value)

Output only . The time segment of the video to which the annotation applies.

.google.cloud.automl.v1beta1.TimeSegment time_segment = 3;

Parameter
Name	Description
`value`	`TimeSegment`

Returns
Type	Description
`ClassificationProto.VideoClassificationAnnotation.Builder`

setTimeSegment(TimeSegment.Builder builderForValue)

public ClassificationProto.VideoClassificationAnnotation.Builder setTimeSegment(TimeSegment.Builder builderForValue)

Output only . The time segment of the video to which the annotation applies.

.google.cloud.automl.v1beta1.TimeSegment time_segment = 3;

Parameter
Name	Description
`builderForValue`	`TimeSegment.Builder`

Returns
Type	Description
`ClassificationProto.VideoClassificationAnnotation.Builder`

setType(String value)

public ClassificationProto.VideoClassificationAnnotation.Builder setType(String value)

Output only. Expresses the type of video classification. Possible values:

segment - Classification done on a specified by user time segment of a video. AnnotationSpec is answered to be present in that time segment, if it is present in any part of it. The video ML model evaluations are done only for this type of classification.
shot- Shot-level classification. AutoML Video Intelligence determines the boundaries for each camera shot in the entire segment of the video that user specified in the request configuration. AutoML Video Intelligence 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 training data, but there are no metrics provided to describe that quality.
1s_interval - AutoML Video Intelligence returns labels and their confidence scores for each second of the entire segment of the video that user specified in the request configuration. WARNING: Model evaluation is not done for this classification type, the quality of it depends on training data, but there are no metrics provided to describe that quality.

string type = 1;

Parameter
Name	Description
`value`	`String` The type to set.

Returns
Type	Description
`ClassificationProto.VideoClassificationAnnotation.Builder`	This builder for chaining.

setTypeBytes(ByteString value)

public ClassificationProto.VideoClassificationAnnotation.Builder setTypeBytes(ByteString value)

Output only. Expresses the type of video classification. Possible values:

segment - Classification done on a specified by user time segment of a video. AnnotationSpec is answered to be present in that time segment, if it is present in any part of it. The video ML model evaluations are done only for this type of classification.
shot- Shot-level classification. AutoML Video Intelligence determines the boundaries for each camera shot in the entire segment of the video that user specified in the request configuration. AutoML Video Intelligence 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 training data, but there are no metrics provided to describe that quality.
1s_interval - AutoML Video Intelligence returns labels and their confidence scores for each second of the entire segment of the video that user specified in the request configuration. WARNING: Model evaluation is not done for this classification type, the quality of it depends on training data, but there are no metrics provided to describe that quality.

string type = 1;

Parameter
Name	Description
`value`	`ByteString` The bytes for type to set.

Returns
Type	Description
`ClassificationProto.VideoClassificationAnnotation.Builder`	This builder for chaining.

setUnknownFields(UnknownFieldSet unknownFields)

public final ClassificationProto.VideoClassificationAnnotation.Builder setUnknownFields(UnknownFieldSet unknownFields)

Parameter
Name	Description
`unknownFields`	`UnknownFieldSet`

Returns
Type	Description
`ClassificationProto.VideoClassificationAnnotation.Builder`

Overrides

GeneratedMessageV3.Builder<BuilderType>.setUnknownFields(UnknownFieldSet unknownFields)