Class AdjustByImageFindings.Builder (3.92.0)

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public static final class AdjustByImageFindings.Builder extends GeneratedMessage.Builder<AdjustByImageFindings.Builder> implements AdjustByImageFindingsOrBuilder

AdjustmentRule condition for image findings. This rule is silently ignored if the content being inspected is not an image.

Protobuf type google.privacy.dlp.v2.AdjustByImageFindings

Inheritance

java.lang.Object > AbstractMessageLite.Builder<MessageType,BuilderType> > AbstractMessage.Builder<BuilderType> > GeneratedMessage.Builder > AdjustByImageFindings.Builder

Implements

AdjustByImageFindingsOrBuilder

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)

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

GeneratedMessage.Builder.clear()

GeneratedMessage.Builder.clearField(Descriptors.FieldDescriptor)

GeneratedMessage.Builder.clearOneof(Descriptors.OneofDescriptor)

GeneratedMessage.Builder.clone()

GeneratedMessage.Builder.getAllFields()

GeneratedMessage.Builder.getDescriptorForType()

GeneratedMessage.Builder.getField(Descriptors.FieldDescriptor)

GeneratedMessage.Builder.getFieldBuilder(Descriptors.FieldDescriptor)

GeneratedMessage.Builder.getOneofFieldDescriptor(Descriptors.OneofDescriptor)

GeneratedMessage.Builder.getParentForChildren()

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

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

GeneratedMessage.Builder.getRepeatedFieldCount(Descriptors.FieldDescriptor)

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

GeneratedMessage.Builder.getUnknownFields()

GeneratedMessage.Builder.hasField(Descriptors.FieldDescriptor)

GeneratedMessage.Builder.hasOneof(Descriptors.OneofDescriptor)

GeneratedMessage.Builder.internalGetFieldAccessorTable()

GeneratedMessage.Builder.internalGetMapField(int)

com.google.protobuf.GeneratedMessage.Builder.internalGetMapFieldReflection(int)

GeneratedMessage.Builder.internalGetMutableMapField(int)

com.google.protobuf.GeneratedMessage.Builder.internalGetMutableMapFieldReflection(int)

GeneratedMessage.Builder.isClean()

GeneratedMessage.Builder.isInitialized()

GeneratedMessage.Builder.markClean()

GeneratedMessage.Builder.mergeUnknownFields(UnknownFieldSet)

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

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

GeneratedMessage.Builder.newBuilderForField(Descriptors.FieldDescriptor)

GeneratedMessage.Builder.onBuilt()

GeneratedMessage.Builder.onChanged()

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

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

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

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

GeneratedMessage.Builder.setUnknownFields(UnknownFieldSet)

com.google.protobuf.GeneratedMessage.Builder.setUnknownFieldsProto3(com.google.protobuf.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

addAllInfoTypes(Iterable<? extends InfoType> values)

public AdjustByImageFindings.Builder addAllInfoTypes(Iterable<? extends InfoType> values)

A list of image-supported infoTypes—excluding document infoTypes—to be used as context for the adjustment rule. Sensitive Data Protection adjusts the likelihood of an image finding if its bounding box has the specified spatial relationship (defined by image_containment_type) with a finding of an infoType in this list.

For example, you can create a rule to adjust the likelihood of a US_PASSPORT finding if it is enclosed by a finding of OBJECT_TYPE/PERSON/PASSPORT. To configure this, set US_PASSPORT in InspectionRuleSet.info_types. Add an adjustment_rule with an adjust_by_image_findings.info_types that contains OBJECT_TYPE/PERSON/PASSPORT and image_containment_type set to encloses. In this case, the likelihood of the US_PASSPORT finding is adjusted, but the likelihood of the OBJECT_TYPE/PERSON/PASSPORT finding is not.

repeated .google.privacy.dlp.v2.InfoType info_types = 1;

Parameter
Name	Description
values	Iterable<? extends com.google.privacy.dlp.v2.InfoType>

Returns
Type	Description
AdjustByImageFindings.Builder

addInfoTypes(InfoType value)

public AdjustByImageFindings.Builder addInfoTypes(InfoType value)

A list of image-supported infoTypes—excluding document infoTypes—to be used as context for the adjustment rule. Sensitive Data Protection adjusts the likelihood of an image finding if its bounding box has the specified spatial relationship (defined by image_containment_type) with a finding of an infoType in this list.

For example, you can create a rule to adjust the likelihood of a US_PASSPORT finding if it is enclosed by a finding of OBJECT_TYPE/PERSON/PASSPORT. To configure this, set US_PASSPORT in InspectionRuleSet.info_types. Add an adjustment_rule with an adjust_by_image_findings.info_types that contains OBJECT_TYPE/PERSON/PASSPORT and image_containment_type set to encloses. In this case, the likelihood of the US_PASSPORT finding is adjusted, but the likelihood of the OBJECT_TYPE/PERSON/PASSPORT finding is not.

repeated .google.privacy.dlp.v2.InfoType info_types = 1;

Parameter
Name	Description
value	InfoType

Returns
Type	Description
AdjustByImageFindings.Builder

addInfoTypes(InfoType.Builder builderForValue)

public AdjustByImageFindings.Builder addInfoTypes(InfoType.Builder builderForValue)

A list of image-supported infoTypes—excluding document infoTypes—to be used as context for the adjustment rule. Sensitive Data Protection adjusts the likelihood of an image finding if its bounding box has the specified spatial relationship (defined by image_containment_type) with a finding of an infoType in this list.

For example, you can create a rule to adjust the likelihood of a US_PASSPORT finding if it is enclosed by a finding of OBJECT_TYPE/PERSON/PASSPORT. To configure this, set US_PASSPORT in InspectionRuleSet.info_types. Add an adjustment_rule with an adjust_by_image_findings.info_types that contains OBJECT_TYPE/PERSON/PASSPORT and image_containment_type set to encloses. In this case, the likelihood of the US_PASSPORT finding is adjusted, but the likelihood of the OBJECT_TYPE/PERSON/PASSPORT finding is not.

repeated .google.privacy.dlp.v2.InfoType info_types = 1;

Parameter
Name	Description
builderForValue	InfoType.Builder

Returns
Type	Description
AdjustByImageFindings.Builder

addInfoTypes(int index, InfoType value)

public AdjustByImageFindings.Builder addInfoTypes(int index, InfoType value)

A list of image-supported infoTypes—excluding document infoTypes—to be used as context for the adjustment rule. Sensitive Data Protection adjusts the likelihood of an image finding if its bounding box has the specified spatial relationship (defined by image_containment_type) with a finding of an infoType in this list.

For example, you can create a rule to adjust the likelihood of a US_PASSPORT finding if it is enclosed by a finding of OBJECT_TYPE/PERSON/PASSPORT. To configure this, set US_PASSPORT in InspectionRuleSet.info_types. Add an adjustment_rule with an adjust_by_image_findings.info_types that contains OBJECT_TYPE/PERSON/PASSPORT and image_containment_type set to encloses. In this case, the likelihood of the US_PASSPORT finding is adjusted, but the likelihood of the OBJECT_TYPE/PERSON/PASSPORT finding is not.

repeated .google.privacy.dlp.v2.InfoType info_types = 1;

Parameters
Name	Description
index	int
value	InfoType

Returns
Type	Description
AdjustByImageFindings.Builder

addInfoTypes(int index, InfoType.Builder builderForValue)

public AdjustByImageFindings.Builder addInfoTypes(int index, InfoType.Builder builderForValue)

A list of image-supported infoTypes—excluding document infoTypes—to be used as context for the adjustment rule. Sensitive Data Protection adjusts the likelihood of an image finding if its bounding box has the specified spatial relationship (defined by image_containment_type) with a finding of an infoType in this list.

For example, you can create a rule to adjust the likelihood of a US_PASSPORT finding if it is enclosed by a finding of OBJECT_TYPE/PERSON/PASSPORT. To configure this, set US_PASSPORT in InspectionRuleSet.info_types. Add an adjustment_rule with an adjust_by_image_findings.info_types that contains OBJECT_TYPE/PERSON/PASSPORT and image_containment_type set to encloses. In this case, the likelihood of the US_PASSPORT finding is adjusted, but the likelihood of the OBJECT_TYPE/PERSON/PASSPORT finding is not.

repeated .google.privacy.dlp.v2.InfoType info_types = 1;

Parameters
Name	Description
index	int
builderForValue	InfoType.Builder

Returns
Type	Description
AdjustByImageFindings.Builder

addInfoTypesBuilder()

public InfoType.Builder addInfoTypesBuilder()

A list of image-supported infoTypes—excluding document infoTypes—to be used as context for the adjustment rule. Sensitive Data Protection adjusts the likelihood of an image finding if its bounding box has the specified spatial relationship (defined by image_containment_type) with a finding of an infoType in this list.

For example, you can create a rule to adjust the likelihood of a US_PASSPORT finding if it is enclosed by a finding of OBJECT_TYPE/PERSON/PASSPORT. To configure this, set US_PASSPORT in InspectionRuleSet.info_types. Add an adjustment_rule with an adjust_by_image_findings.info_types that contains OBJECT_TYPE/PERSON/PASSPORT and image_containment_type set to encloses. In this case, the likelihood of the US_PASSPORT finding is adjusted, but the likelihood of the OBJECT_TYPE/PERSON/PASSPORT finding is not.

repeated .google.privacy.dlp.v2.InfoType info_types = 1;

Returns
Type	Description
InfoType.Builder

addInfoTypesBuilder(int index)

public InfoType.Builder addInfoTypesBuilder(int index)

A list of image-supported infoTypes—excluding document infoTypes—to be used as context for the adjustment rule. Sensitive Data Protection adjusts the likelihood of an image finding if its bounding box has the specified spatial relationship (defined by image_containment_type) with a finding of an infoType in this list.

For example, you can create a rule to adjust the likelihood of a US_PASSPORT finding if it is enclosed by a finding of OBJECT_TYPE/PERSON/PASSPORT. To configure this, set US_PASSPORT in InspectionRuleSet.info_types. Add an adjustment_rule with an adjust_by_image_findings.info_types that contains OBJECT_TYPE/PERSON/PASSPORT and image_containment_type set to encloses. In this case, the likelihood of the US_PASSPORT finding is adjusted, but the likelihood of the OBJECT_TYPE/PERSON/PASSPORT finding is not.

repeated .google.privacy.dlp.v2.InfoType info_types = 1;

Parameter
Name	Description
index	int

Returns
Type	Description
InfoType.Builder

build()

public AdjustByImageFindings build()

Returns
Type	Description
AdjustByImageFindings

buildPartial()

public AdjustByImageFindings buildPartial()

Returns
Type	Description
AdjustByImageFindings

clear()

public AdjustByImageFindings.Builder clear()

Returns
Type	Description
AdjustByImageFindings.Builder

Overrides

GeneratedMessage.Builder<BuilderType>.clear()

clearImageContainmentType()

public AdjustByImageFindings.Builder clearImageContainmentType()

Specifies the required spatial relationship between the bounding boxes of the target finding and the context infoType findings.

.google.privacy.dlp.v2.ImageContainmentType image_containment_type = 3;

Returns
Type	Description
AdjustByImageFindings.Builder

clearInfoTypes()

public AdjustByImageFindings.Builder clearInfoTypes()

A list of image-supported infoTypes—excluding document infoTypes—to be used as context for the adjustment rule. Sensitive Data Protection adjusts the likelihood of an image finding if its bounding box has the specified spatial relationship (defined by image_containment_type) with a finding of an infoType in this list.

For example, you can create a rule to adjust the likelihood of a US_PASSPORT finding if it is enclosed by a finding of OBJECT_TYPE/PERSON/PASSPORT. To configure this, set US_PASSPORT in InspectionRuleSet.info_types. Add an adjustment_rule with an adjust_by_image_findings.info_types that contains OBJECT_TYPE/PERSON/PASSPORT and image_containment_type set to encloses. In this case, the likelihood of the US_PASSPORT finding is adjusted, but the likelihood of the OBJECT_TYPE/PERSON/PASSPORT finding is not.

repeated .google.privacy.dlp.v2.InfoType info_types = 1;

Returns
Type	Description
AdjustByImageFindings.Builder

clearMinLikelihood()

public AdjustByImageFindings.Builder clearMinLikelihood()

Required. Minimum likelihood of the adjust_by_image_findings.info_types finding. If the likelihood is lower than this value, Sensitive Data Protection doesn't adjust the likelihood of the InspectionRuleSet.info_types finding.

.google.privacy.dlp.v2.Likelihood min_likelihood = 2;

Returns
Type	Description
AdjustByImageFindings.Builder	This builder for chaining.

getDefaultInstanceForType()

public AdjustByImageFindings getDefaultInstanceForType()

Returns
Type	Description
AdjustByImageFindings

getDescriptorForType()

public Descriptors.Descriptor getDescriptorForType()

Returns
Type	Description
Descriptor

Overrides

GeneratedMessage.Builder<BuilderType>.getDescriptorForType()

getImageContainmentType()

public ImageContainmentType getImageContainmentType()

Specifies the required spatial relationship between the bounding boxes of the target finding and the context infoType findings.

.google.privacy.dlp.v2.ImageContainmentType image_containment_type = 3;

Returns
Type	Description
ImageContainmentType	The imageContainmentType.

getImageContainmentTypeBuilder()

public ImageContainmentType.Builder getImageContainmentTypeBuilder()

Specifies the required spatial relationship between the bounding boxes of the target finding and the context infoType findings.

.google.privacy.dlp.v2.ImageContainmentType image_containment_type = 3;

Returns
Type	Description
ImageContainmentType.Builder

getImageContainmentTypeOrBuilder()

public ImageContainmentTypeOrBuilder getImageContainmentTypeOrBuilder()

Specifies the required spatial relationship between the bounding boxes of the target finding and the context infoType findings.

.google.privacy.dlp.v2.ImageContainmentType image_containment_type = 3;

Returns
Type	Description
ImageContainmentTypeOrBuilder

getInfoTypes(int index)

public InfoType getInfoTypes(int index)

A list of image-supported infoTypes—excluding document infoTypes—to be used as context for the adjustment rule. Sensitive Data Protection adjusts the likelihood of an image finding if its bounding box has the specified spatial relationship (defined by image_containment_type) with a finding of an infoType in this list.

For example, you can create a rule to adjust the likelihood of a US_PASSPORT finding if it is enclosed by a finding of OBJECT_TYPE/PERSON/PASSPORT. To configure this, set US_PASSPORT in InspectionRuleSet.info_types. Add an adjustment_rule with an adjust_by_image_findings.info_types that contains OBJECT_TYPE/PERSON/PASSPORT and image_containment_type set to encloses. In this case, the likelihood of the US_PASSPORT finding is adjusted, but the likelihood of the OBJECT_TYPE/PERSON/PASSPORT finding is not.

repeated .google.privacy.dlp.v2.InfoType info_types = 1;

Parameter
Name	Description
index	int

Returns
Type	Description
InfoType

getInfoTypesBuilder(int index)

public InfoType.Builder getInfoTypesBuilder(int index)

A list of image-supported infoTypes—excluding document infoTypes—to be used as context for the adjustment rule. Sensitive Data Protection adjusts the likelihood of an image finding if its bounding box has the specified spatial relationship (defined by image_containment_type) with a finding of an infoType in this list.

For example, you can create a rule to adjust the likelihood of a US_PASSPORT finding if it is enclosed by a finding of OBJECT_TYPE/PERSON/PASSPORT. To configure this, set US_PASSPORT in InspectionRuleSet.info_types. Add an adjustment_rule with an adjust_by_image_findings.info_types that contains OBJECT_TYPE/PERSON/PASSPORT and image_containment_type set to encloses. In this case, the likelihood of the US_PASSPORT finding is adjusted, but the likelihood of the OBJECT_TYPE/PERSON/PASSPORT finding is not.

repeated .google.privacy.dlp.v2.InfoType info_types = 1;

Parameter
Name	Description
index	int

Returns
Type	Description
InfoType.Builder

getInfoTypesBuilderList()

public List<InfoType.Builder> getInfoTypesBuilderList()

A list of image-supported infoTypes—excluding document infoTypes—to be used as context for the adjustment rule. Sensitive Data Protection adjusts the likelihood of an image finding if its bounding box has the specified spatial relationship (defined by image_containment_type) with a finding of an infoType in this list.

For example, you can create a rule to adjust the likelihood of a US_PASSPORT finding if it is enclosed by a finding of OBJECT_TYPE/PERSON/PASSPORT. To configure this, set US_PASSPORT in InspectionRuleSet.info_types. Add an adjustment_rule with an adjust_by_image_findings.info_types that contains OBJECT_TYPE/PERSON/PASSPORT and image_containment_type set to encloses. In this case, the likelihood of the US_PASSPORT finding is adjusted, but the likelihood of the OBJECT_TYPE/PERSON/PASSPORT finding is not.

repeated .google.privacy.dlp.v2.InfoType info_types = 1;

Returns
Type	Description
List<Builder>

getInfoTypesCount()

public int getInfoTypesCount()

A list of image-supported infoTypes—excluding document infoTypes—to be used as context for the adjustment rule. Sensitive Data Protection adjusts the likelihood of an image finding if its bounding box has the specified spatial relationship (defined by image_containment_type) with a finding of an infoType in this list.

For example, you can create a rule to adjust the likelihood of a US_PASSPORT finding if it is enclosed by a finding of OBJECT_TYPE/PERSON/PASSPORT. To configure this, set US_PASSPORT in InspectionRuleSet.info_types. Add an adjustment_rule with an adjust_by_image_findings.info_types that contains OBJECT_TYPE/PERSON/PASSPORT and image_containment_type set to encloses. In this case, the likelihood of the US_PASSPORT finding is adjusted, but the likelihood of the OBJECT_TYPE/PERSON/PASSPORT finding is not.

repeated .google.privacy.dlp.v2.InfoType info_types = 1;

Returns
Type	Description
int

getInfoTypesList()

public List<InfoType> getInfoTypesList()

A list of image-supported infoTypes—excluding document infoTypes—to be used as context for the adjustment rule. Sensitive Data Protection adjusts the likelihood of an image finding if its bounding box has the specified spatial relationship (defined by image_containment_type) with a finding of an infoType in this list.

For example, you can create a rule to adjust the likelihood of a US_PASSPORT finding if it is enclosed by a finding of OBJECT_TYPE/PERSON/PASSPORT. To configure this, set US_PASSPORT in InspectionRuleSet.info_types. Add an adjustment_rule with an adjust_by_image_findings.info_types that contains OBJECT_TYPE/PERSON/PASSPORT and image_containment_type set to encloses. In this case, the likelihood of the US_PASSPORT finding is adjusted, but the likelihood of the OBJECT_TYPE/PERSON/PASSPORT finding is not.

repeated .google.privacy.dlp.v2.InfoType info_types = 1;

Returns
Type	Description
List<InfoType>

getInfoTypesOrBuilder(int index)

public InfoTypeOrBuilder getInfoTypesOrBuilder(int index)

A list of image-supported infoTypes—excluding document infoTypes—to be used as context for the adjustment rule. Sensitive Data Protection adjusts the likelihood of an image finding if its bounding box has the specified spatial relationship (defined by image_containment_type) with a finding of an infoType in this list.

For example, you can create a rule to adjust the likelihood of a US_PASSPORT finding if it is enclosed by a finding of OBJECT_TYPE/PERSON/PASSPORT. To configure this, set US_PASSPORT in InspectionRuleSet.info_types. Add an adjustment_rule with an adjust_by_image_findings.info_types that contains OBJECT_TYPE/PERSON/PASSPORT and image_containment_type set to encloses. In this case, the likelihood of the US_PASSPORT finding is adjusted, but the likelihood of the OBJECT_TYPE/PERSON/PASSPORT finding is not.

repeated .google.privacy.dlp.v2.InfoType info_types = 1;

Parameter
Name	Description
index	int

Returns
Type	Description
InfoTypeOrBuilder

getInfoTypesOrBuilderList()

public List<? extends InfoTypeOrBuilder> getInfoTypesOrBuilderList()

A list of image-supported infoTypes—excluding document infoTypes—to be used as context for the adjustment rule. Sensitive Data Protection adjusts the likelihood of an image finding if its bounding box has the specified spatial relationship (defined by image_containment_type) with a finding of an infoType in this list.

For example, you can create a rule to adjust the likelihood of a US_PASSPORT finding if it is enclosed by a finding of OBJECT_TYPE/PERSON/PASSPORT. To configure this, set US_PASSPORT in InspectionRuleSet.info_types. Add an adjustment_rule with an adjust_by_image_findings.info_types that contains OBJECT_TYPE/PERSON/PASSPORT and image_containment_type set to encloses. In this case, the likelihood of the US_PASSPORT finding is adjusted, but the likelihood of the OBJECT_TYPE/PERSON/PASSPORT finding is not.

repeated .google.privacy.dlp.v2.InfoType info_types = 1;

Returns
Type	Description
List<? extends com.google.privacy.dlp.v2.InfoTypeOrBuilder>

getMinLikelihood()

public Likelihood getMinLikelihood()

Required. Minimum likelihood of the adjust_by_image_findings.info_types finding. If the likelihood is lower than this value, Sensitive Data Protection doesn't adjust the likelihood of the InspectionRuleSet.info_types finding.

.google.privacy.dlp.v2.Likelihood min_likelihood = 2;

Returns
Type	Description
Likelihood	The minLikelihood.

getMinLikelihoodValue()

public int getMinLikelihoodValue()

Required. Minimum likelihood of the adjust_by_image_findings.info_types finding. If the likelihood is lower than this value, Sensitive Data Protection doesn't adjust the likelihood of the InspectionRuleSet.info_types finding.

.google.privacy.dlp.v2.Likelihood min_likelihood = 2;

Returns
Type	Description
int	The enum numeric value on the wire for minLikelihood.

hasImageContainmentType()

public boolean hasImageContainmentType()

Specifies the required spatial relationship between the bounding boxes of the target finding and the context infoType findings.

.google.privacy.dlp.v2.ImageContainmentType image_containment_type = 3;

Returns
Type	Description
boolean	Whether the imageContainmentType field is set.

internalGetFieldAccessorTable()

protected GeneratedMessage.FieldAccessorTable internalGetFieldAccessorTable()

Returns
Type	Description
FieldAccessorTable

Overrides

GeneratedMessage.Builder<BuilderType>.internalGetFieldAccessorTable()

isInitialized()

public final boolean isInitialized()

Returns
Type	Description
boolean

Overrides

GeneratedMessage.Builder<BuilderType>.isInitialized()

mergeFrom(AdjustByImageFindings other)

public AdjustByImageFindings.Builder mergeFrom(AdjustByImageFindings other)

Parameter
Name	Description
other	AdjustByImageFindings

Returns
Type	Description
AdjustByImageFindings.Builder

mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

public AdjustByImageFindings.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

Parameters
Name	Description
input	CodedInputStream
extensionRegistry	ExtensionRegistryLite

Returns
Type	Description
AdjustByImageFindings.Builder

Overrides

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

Exceptions
Type	Description
IOException

mergeFrom(Message other)

public AdjustByImageFindings.Builder mergeFrom(Message other)

Parameter
Name	Description
other	Message

Returns
Type	Description
AdjustByImageFindings.Builder

Overrides

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

mergeImageContainmentType(ImageContainmentType value)

public AdjustByImageFindings.Builder mergeImageContainmentType(ImageContainmentType value)

Specifies the required spatial relationship between the bounding boxes of the target finding and the context infoType findings.

.google.privacy.dlp.v2.ImageContainmentType image_containment_type = 3;

Parameter
Name	Description
value	ImageContainmentType

Returns
Type	Description
AdjustByImageFindings.Builder

removeInfoTypes(int index)

public AdjustByImageFindings.Builder removeInfoTypes(int index)

A list of image-supported infoTypes—excluding document infoTypes—to be used as context for the adjustment rule. Sensitive Data Protection adjusts the likelihood of an image finding if its bounding box has the specified spatial relationship (defined by image_containment_type) with a finding of an infoType in this list.

For example, you can create a rule to adjust the likelihood of a US_PASSPORT finding if it is enclosed by a finding of OBJECT_TYPE/PERSON/PASSPORT. To configure this, set US_PASSPORT in InspectionRuleSet.info_types. Add an adjustment_rule with an adjust_by_image_findings.info_types that contains OBJECT_TYPE/PERSON/PASSPORT and image_containment_type set to encloses. In this case, the likelihood of the US_PASSPORT finding is adjusted, but the likelihood of the OBJECT_TYPE/PERSON/PASSPORT finding is not.

repeated .google.privacy.dlp.v2.InfoType info_types = 1;

Parameter
Name	Description
index	int

Returns
Type	Description
AdjustByImageFindings.Builder

setImageContainmentType(ImageContainmentType value)

public AdjustByImageFindings.Builder setImageContainmentType(ImageContainmentType value)

Specifies the required spatial relationship between the bounding boxes of the target finding and the context infoType findings.

.google.privacy.dlp.v2.ImageContainmentType image_containment_type = 3;

Parameter
Name	Description
value	ImageContainmentType

Returns
Type	Description
AdjustByImageFindings.Builder

setImageContainmentType(ImageContainmentType.Builder builderForValue)

public AdjustByImageFindings.Builder setImageContainmentType(ImageContainmentType.Builder builderForValue)

Specifies the required spatial relationship between the bounding boxes of the target finding and the context infoType findings.

.google.privacy.dlp.v2.ImageContainmentType image_containment_type = 3;

Parameter
Name	Description
builderForValue	ImageContainmentType.Builder

Returns
Type	Description
AdjustByImageFindings.Builder

setInfoTypes(int index, InfoType value)

public AdjustByImageFindings.Builder setInfoTypes(int index, InfoType value)

A list of image-supported infoTypes—excluding document infoTypes—to be used as context for the adjustment rule. Sensitive Data Protection adjusts the likelihood of an image finding if its bounding box has the specified spatial relationship (defined by image_containment_type) with a finding of an infoType in this list.

For example, you can create a rule to adjust the likelihood of a US_PASSPORT finding if it is enclosed by a finding of OBJECT_TYPE/PERSON/PASSPORT. To configure this, set US_PASSPORT in InspectionRuleSet.info_types. Add an adjustment_rule with an adjust_by_image_findings.info_types that contains OBJECT_TYPE/PERSON/PASSPORT and image_containment_type set to encloses. In this case, the likelihood of the US_PASSPORT finding is adjusted, but the likelihood of the OBJECT_TYPE/PERSON/PASSPORT finding is not.

repeated .google.privacy.dlp.v2.InfoType info_types = 1;

Parameters
Name	Description
index	int
value	InfoType

Returns
Type	Description
AdjustByImageFindings.Builder

setInfoTypes(int index, InfoType.Builder builderForValue)

public AdjustByImageFindings.Builder setInfoTypes(int index, InfoType.Builder builderForValue)

A list of image-supported infoTypes—excluding document infoTypes—to be used as context for the adjustment rule. Sensitive Data Protection adjusts the likelihood of an image finding if its bounding box has the specified spatial relationship (defined by image_containment_type) with a finding of an infoType in this list.

For example, you can create a rule to adjust the likelihood of a US_PASSPORT finding if it is enclosed by a finding of OBJECT_TYPE/PERSON/PASSPORT. To configure this, set US_PASSPORT in InspectionRuleSet.info_types. Add an adjustment_rule with an adjust_by_image_findings.info_types that contains OBJECT_TYPE/PERSON/PASSPORT and image_containment_type set to encloses. In this case, the likelihood of the US_PASSPORT finding is adjusted, but the likelihood of the OBJECT_TYPE/PERSON/PASSPORT finding is not.

repeated .google.privacy.dlp.v2.InfoType info_types = 1;

Parameters
Name	Description
index	int
builderForValue	InfoType.Builder

Returns
Type	Description
AdjustByImageFindings.Builder

setMinLikelihood(Likelihood value)

public AdjustByImageFindings.Builder setMinLikelihood(Likelihood value)

Required. Minimum likelihood of the adjust_by_image_findings.info_types finding. If the likelihood is lower than this value, Sensitive Data Protection doesn't adjust the likelihood of the InspectionRuleSet.info_types finding.

.google.privacy.dlp.v2.Likelihood min_likelihood = 2;

Parameter
Name	Description
value	Likelihood The minLikelihood to set.

Returns
Type	Description
AdjustByImageFindings.Builder	This builder for chaining.

setMinLikelihoodValue(int value)

public AdjustByImageFindings.Builder setMinLikelihoodValue(int value)

Required. Minimum likelihood of the adjust_by_image_findings.info_types finding. If the likelihood is lower than this value, Sensitive Data Protection doesn't adjust the likelihood of the InspectionRuleSet.info_types finding.

.google.privacy.dlp.v2.Likelihood min_likelihood = 2;

Parameter
Name	Description
value	int The enum numeric value on the wire for minLikelihood to set.

Returns
Type	Description
AdjustByImageFindings.Builder	This builder for chaining.