Class LabelDetectionConfig.Builder (2.38.0)

public static final class LabelDetectionConfig.Builder extends GeneratedMessageV3.Builder<LabelDetectionConfig.Builder> implements LabelDetectionConfigOrBuilder

Config for LABEL_DETECTION.

Protobuf type google.cloud.videointelligence.v1.LabelDetectionConfig

Static Methods

getDescriptor()

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

Methods

addRepeatedField(Descriptors.FieldDescriptor field, Object value)

public LabelDetectionConfig.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)
Parameters
NameDescription
fieldFieldDescriptor
valueObject
Returns
TypeDescription
LabelDetectionConfig.Builder
Overrides

build()

public LabelDetectionConfig build()
Returns
TypeDescription
LabelDetectionConfig

buildPartial()

public LabelDetectionConfig buildPartial()
Returns
TypeDescription
LabelDetectionConfig

clear()

public LabelDetectionConfig.Builder clear()
Returns
TypeDescription
LabelDetectionConfig.Builder
Overrides

clearField(Descriptors.FieldDescriptor field)

public LabelDetectionConfig.Builder clearField(Descriptors.FieldDescriptor field)
Parameter
NameDescription
fieldFieldDescriptor
Returns
TypeDescription
LabelDetectionConfig.Builder
Overrides

clearFrameConfidenceThreshold()

public LabelDetectionConfig.Builder clearFrameConfidenceThreshold()

The confidence threshold we perform filtering on the labels from frame-level detection. If not set, it is set to 0.4 by default. The valid range for this threshold is [0.1, 0.9]. Any value set outside of this range will be clipped. Note: For best results, follow the default threshold. We will update the default threshold everytime when we release a new model.

float frame_confidence_threshold = 4;

Returns
TypeDescription
LabelDetectionConfig.Builder

This builder for chaining.

clearLabelDetectionMode()

public LabelDetectionConfig.Builder clearLabelDetectionMode()

What labels should be detected with LABEL_DETECTION, in addition to video-level labels or segment-level labels. If unspecified, defaults to SHOT_MODE.

.google.cloud.videointelligence.v1.LabelDetectionMode label_detection_mode = 1;

Returns
TypeDescription
LabelDetectionConfig.Builder

This builder for chaining.

clearModel()

public LabelDetectionConfig.Builder clearModel()

Model to use for label detection. Supported values: "builtin/stable" (the default if unset) and "builtin/latest".

string model = 3;

Returns
TypeDescription
LabelDetectionConfig.Builder

This builder for chaining.

clearOneof(Descriptors.OneofDescriptor oneof)

public LabelDetectionConfig.Builder clearOneof(Descriptors.OneofDescriptor oneof)
Parameter
NameDescription
oneofOneofDescriptor
Returns
TypeDescription
LabelDetectionConfig.Builder
Overrides

clearStationaryCamera()

public LabelDetectionConfig.Builder clearStationaryCamera()

Whether the video has been shot from a stationary (i.e., non-moving) camera. When set to true, might improve detection accuracy for moving objects. Should be used with SHOT_AND_FRAME_MODE enabled.

bool stationary_camera = 2;

Returns
TypeDescription
LabelDetectionConfig.Builder

This builder for chaining.

clearVideoConfidenceThreshold()

public LabelDetectionConfig.Builder clearVideoConfidenceThreshold()

The confidence threshold we perform filtering on the labels from video-level and shot-level detections. If not set, it's set to 0.3 by default. The valid range for this threshold is [0.1, 0.9]. Any value set outside of this range will be clipped. Note: For best results, follow the default threshold. We will update the default threshold everytime when we release a new model.

float video_confidence_threshold = 5;

Returns
TypeDescription
LabelDetectionConfig.Builder

This builder for chaining.

clone()

public LabelDetectionConfig.Builder clone()
Returns
TypeDescription
LabelDetectionConfig.Builder
Overrides

getDefaultInstanceForType()

public LabelDetectionConfig getDefaultInstanceForType()
Returns
TypeDescription
LabelDetectionConfig

getDescriptorForType()

public Descriptors.Descriptor getDescriptorForType()
Returns
TypeDescription
Descriptor
Overrides

getFrameConfidenceThreshold()

public float getFrameConfidenceThreshold()

The confidence threshold we perform filtering on the labels from frame-level detection. If not set, it is set to 0.4 by default. The valid range for this threshold is [0.1, 0.9]. Any value set outside of this range will be clipped. Note: For best results, follow the default threshold. We will update the default threshold everytime when we release a new model.

float frame_confidence_threshold = 4;

Returns
TypeDescription
float

The frameConfidenceThreshold.

getLabelDetectionMode()

public LabelDetectionMode getLabelDetectionMode()

What labels should be detected with LABEL_DETECTION, in addition to video-level labels or segment-level labels. If unspecified, defaults to SHOT_MODE.

.google.cloud.videointelligence.v1.LabelDetectionMode label_detection_mode = 1;

Returns
TypeDescription
LabelDetectionMode

The labelDetectionMode.

getLabelDetectionModeValue()

public int getLabelDetectionModeValue()

What labels should be detected with LABEL_DETECTION, in addition to video-level labels or segment-level labels. If unspecified, defaults to SHOT_MODE.

.google.cloud.videointelligence.v1.LabelDetectionMode label_detection_mode = 1;

Returns
TypeDescription
int

The enum numeric value on the wire for labelDetectionMode.

getModel()

public String getModel()

Model to use for label detection. Supported values: "builtin/stable" (the default if unset) and "builtin/latest".

string model = 3;

Returns
TypeDescription
String

The model.

getModelBytes()

public ByteString getModelBytes()

Model to use for label detection. Supported values: "builtin/stable" (the default if unset) and "builtin/latest".

string model = 3;

Returns
TypeDescription
ByteString

The bytes for model.

getStationaryCamera()

public boolean getStationaryCamera()

Whether the video has been shot from a stationary (i.e., non-moving) camera. When set to true, might improve detection accuracy for moving objects. Should be used with SHOT_AND_FRAME_MODE enabled.

bool stationary_camera = 2;

Returns
TypeDescription
boolean

The stationaryCamera.

getVideoConfidenceThreshold()

public float getVideoConfidenceThreshold()

The confidence threshold we perform filtering on the labels from video-level and shot-level detections. If not set, it's set to 0.3 by default. The valid range for this threshold is [0.1, 0.9]. Any value set outside of this range will be clipped. Note: For best results, follow the default threshold. We will update the default threshold everytime when we release a new model.

float video_confidence_threshold = 5;

Returns
TypeDescription
float

The videoConfidenceThreshold.

internalGetFieldAccessorTable()

protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Returns
TypeDescription
FieldAccessorTable
Overrides

isInitialized()

public final boolean isInitialized()
Returns
TypeDescription
boolean
Overrides

mergeFrom(LabelDetectionConfig other)

public LabelDetectionConfig.Builder mergeFrom(LabelDetectionConfig other)
Parameter
NameDescription
otherLabelDetectionConfig
Returns
TypeDescription
LabelDetectionConfig.Builder

mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

public LabelDetectionConfig.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
NameDescription
inputCodedInputStream
extensionRegistryExtensionRegistryLite
Returns
TypeDescription
LabelDetectionConfig.Builder
Overrides
Exceptions
TypeDescription
IOException

mergeFrom(Message other)

public LabelDetectionConfig.Builder mergeFrom(Message other)
Parameter
NameDescription
otherMessage
Returns
TypeDescription
LabelDetectionConfig.Builder
Overrides

mergeUnknownFields(UnknownFieldSet unknownFields)

public final LabelDetectionConfig.Builder mergeUnknownFields(UnknownFieldSet unknownFields)
Parameter
NameDescription
unknownFieldsUnknownFieldSet
Returns
TypeDescription
LabelDetectionConfig.Builder
Overrides

setField(Descriptors.FieldDescriptor field, Object value)

public LabelDetectionConfig.Builder setField(Descriptors.FieldDescriptor field, Object value)
Parameters
NameDescription
fieldFieldDescriptor
valueObject
Returns
TypeDescription
LabelDetectionConfig.Builder
Overrides

setFrameConfidenceThreshold(float value)

public LabelDetectionConfig.Builder setFrameConfidenceThreshold(float value)

The confidence threshold we perform filtering on the labels from frame-level detection. If not set, it is set to 0.4 by default. The valid range for this threshold is [0.1, 0.9]. Any value set outside of this range will be clipped. Note: For best results, follow the default threshold. We will update the default threshold everytime when we release a new model.

float frame_confidence_threshold = 4;

Parameter
NameDescription
valuefloat

The frameConfidenceThreshold to set.

Returns
TypeDescription
LabelDetectionConfig.Builder

This builder for chaining.

setLabelDetectionMode(LabelDetectionMode value)

public LabelDetectionConfig.Builder setLabelDetectionMode(LabelDetectionMode value)

What labels should be detected with LABEL_DETECTION, in addition to video-level labels or segment-level labels. If unspecified, defaults to SHOT_MODE.

.google.cloud.videointelligence.v1.LabelDetectionMode label_detection_mode = 1;

Parameter
NameDescription
valueLabelDetectionMode

The labelDetectionMode to set.

Returns
TypeDescription
LabelDetectionConfig.Builder

This builder for chaining.

setLabelDetectionModeValue(int value)

public LabelDetectionConfig.Builder setLabelDetectionModeValue(int value)

What labels should be detected with LABEL_DETECTION, in addition to video-level labels or segment-level labels. If unspecified, defaults to SHOT_MODE.

.google.cloud.videointelligence.v1.LabelDetectionMode label_detection_mode = 1;

Parameter
NameDescription
valueint

The enum numeric value on the wire for labelDetectionMode to set.

Returns
TypeDescription
LabelDetectionConfig.Builder

This builder for chaining.

setModel(String value)

public LabelDetectionConfig.Builder setModel(String value)

Model to use for label detection. Supported values: "builtin/stable" (the default if unset) and "builtin/latest".

string model = 3;

Parameter
NameDescription
valueString

The model to set.

Returns
TypeDescription
LabelDetectionConfig.Builder

This builder for chaining.

setModelBytes(ByteString value)

public LabelDetectionConfig.Builder setModelBytes(ByteString value)

Model to use for label detection. Supported values: "builtin/stable" (the default if unset) and "builtin/latest".

string model = 3;

Parameter
NameDescription
valueByteString

The bytes for model to set.

Returns
TypeDescription
LabelDetectionConfig.Builder

This builder for chaining.

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

public LabelDetectionConfig.Builder setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
Parameters
NameDescription
fieldFieldDescriptor
indexint
valueObject
Returns
TypeDescription
LabelDetectionConfig.Builder
Overrides

setStationaryCamera(boolean value)

public LabelDetectionConfig.Builder setStationaryCamera(boolean value)

Whether the video has been shot from a stationary (i.e., non-moving) camera. When set to true, might improve detection accuracy for moving objects. Should be used with SHOT_AND_FRAME_MODE enabled.

bool stationary_camera = 2;

Parameter
NameDescription
valueboolean

The stationaryCamera to set.

Returns
TypeDescription
LabelDetectionConfig.Builder

This builder for chaining.

setUnknownFields(UnknownFieldSet unknownFields)

public final LabelDetectionConfig.Builder setUnknownFields(UnknownFieldSet unknownFields)
Parameter
NameDescription
unknownFieldsUnknownFieldSet
Returns
TypeDescription
LabelDetectionConfig.Builder
Overrides

setVideoConfidenceThreshold(float value)

public LabelDetectionConfig.Builder setVideoConfidenceThreshold(float value)

The confidence threshold we perform filtering on the labels from video-level and shot-level detections. If not set, it's set to 0.3 by default. The valid range for this threshold is [0.1, 0.9]. Any value set outside of this range will be clipped. Note: For best results, follow the default threshold. We will update the default threshold everytime when we release a new model.

float video_confidence_threshold = 5;

Parameter
NameDescription
valuefloat

The videoConfidenceThreshold to set.

Returns
TypeDescription
LabelDetectionConfig.Builder

This builder for chaining.