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
Inherited Members
com.google.protobuf.GeneratedMessageV3.Builder.getUnknownFieldSetBuilder()
com.google.protobuf.GeneratedMessageV3.Builder.mergeUnknownLengthDelimitedField(int,com.google.protobuf.ByteString)
com.google.protobuf.GeneratedMessageV3.Builder.mergeUnknownVarintField(int,int)
com.google.protobuf.GeneratedMessageV3.Builder.parseUnknownField(com.google.protobuf.CodedInputStream,com.google.protobuf.ExtensionRegistryLite,int)
com.google.protobuf.GeneratedMessageV3.Builder.setUnknownFieldSetBuilder(com.google.protobuf.UnknownFieldSet.Builder)
Static Methods
getDescriptor()
public static final Descriptors.Descriptor getDescriptor()
Methods
addRepeatedField(Descriptors.FieldDescriptor field, Object value)
public ClassificationProto.VideoClassificationAnnotation.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)
Overrides
build()
public ClassificationProto.VideoClassificationAnnotation build()
buildPartial()
public ClassificationProto.VideoClassificationAnnotation buildPartial()
clear()
public ClassificationProto.VideoClassificationAnnotation.Builder clear()
Overrides
clearClassificationAnnotation()
public ClassificationProto.VideoClassificationAnnotation.Builder clearClassificationAnnotation()
Output only . The classification details of this annotation.
.google.cloud.automl.v1beta1.ClassificationAnnotation classification_annotation = 2;
clearField(Descriptors.FieldDescriptor field)
public ClassificationProto.VideoClassificationAnnotation.Builder clearField(Descriptors.FieldDescriptor field)
Overrides
clearOneof(Descriptors.OneofDescriptor oneof)
public ClassificationProto.VideoClassificationAnnotation.Builder clearOneof(Descriptors.OneofDescriptor oneof)
Overrides
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;
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;
clone()
public ClassificationProto.VideoClassificationAnnotation.Builder clone()
Overrides
getClassificationAnnotation()
public ClassificationProto.ClassificationAnnotation getClassificationAnnotation()
Output only . The classification details of this annotation.
.google.cloud.automl.v1beta1.ClassificationAnnotation classification_annotation = 2;
getClassificationAnnotationBuilder()
public ClassificationProto.ClassificationAnnotation.Builder getClassificationAnnotationBuilder()
Output only . The classification details of this annotation.
.google.cloud.automl.v1beta1.ClassificationAnnotation classification_annotation = 2;
getClassificationAnnotationOrBuilder()
public ClassificationProto.ClassificationAnnotationOrBuilder getClassificationAnnotationOrBuilder()
Output only . The classification details of this annotation.
.google.cloud.automl.v1beta1.ClassificationAnnotation classification_annotation = 2;
getDefaultInstanceForType()
public ClassificationProto.VideoClassificationAnnotation getDefaultInstanceForType()
getDescriptorForType()
public Descriptors.Descriptor getDescriptorForType()
Overrides
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;
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;
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;
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()
Overrides
isInitialized()
public final boolean isInitialized()
Overrides
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;
mergeFrom(ClassificationProto.VideoClassificationAnnotation other)
public ClassificationProto.VideoClassificationAnnotation.Builder mergeFrom(ClassificationProto.VideoClassificationAnnotation other)
public ClassificationProto.VideoClassificationAnnotation.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
Overrides
mergeFrom(Message other)
public ClassificationProto.VideoClassificationAnnotation.Builder mergeFrom(Message other)
| Parameter |
|---|
| Name | Description |
other | Message
|
Overrides
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;
mergeUnknownFields(UnknownFieldSet unknownFields)
public final ClassificationProto.VideoClassificationAnnotation.Builder mergeUnknownFields(UnknownFieldSet unknownFields)
Overrides
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;
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;
setField(Descriptors.FieldDescriptor field, Object value)
public ClassificationProto.VideoClassificationAnnotation.Builder setField(Descriptors.FieldDescriptor field, Object value)
Overrides
setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
public ClassificationProto.VideoClassificationAnnotation.Builder setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
Overrides
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;
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;
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.
|
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.
|
setUnknownFields(UnknownFieldSet unknownFields)
public final ClassificationProto.VideoClassificationAnnotation.Builder setUnknownFields(UnknownFieldSet unknownFields)
Overrides
