Class LabelDetectionConfig.Builder (2.43.0)

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
Type Description
Descriptor

Methods

addRepeatedField(Descriptors.FieldDescriptor field, Object value)

public LabelDetectionConfig.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)
Parameters
Name Description
field FieldDescriptor
value Object
Returns
Type Description
LabelDetectionConfig.Builder
Overrides

build()

public LabelDetectionConfig build()
Returns
Type Description
LabelDetectionConfig

buildPartial()

public LabelDetectionConfig buildPartial()
Returns
Type Description
LabelDetectionConfig

clear()

public LabelDetectionConfig.Builder clear()
Returns
Type Description
LabelDetectionConfig.Builder
Overrides

clearField(Descriptors.FieldDescriptor field)

public LabelDetectionConfig.Builder clearField(Descriptors.FieldDescriptor field)
Parameter
Name Description
field FieldDescriptor
Returns
Type Description
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
Type Description
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
Type Description
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
Type Description
LabelDetectionConfig.Builder

This builder for chaining.

clearOneof(Descriptors.OneofDescriptor oneof)

public LabelDetectionConfig.Builder clearOneof(Descriptors.OneofDescriptor oneof)
Parameter
Name Description
oneof OneofDescriptor
Returns
Type Description
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
Type Description
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
Type Description
LabelDetectionConfig.Builder

This builder for chaining.

clone()

public LabelDetectionConfig.Builder clone()
Returns
Type Description
LabelDetectionConfig.Builder
Overrides

getDefaultInstanceForType()

public LabelDetectionConfig getDefaultInstanceForType()
Returns
Type Description
LabelDetectionConfig

getDescriptorForType()

public Descriptors.Descriptor getDescriptorForType()
Returns
Type Description
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
Type Description
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
Type Description
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
Type Description
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
Type Description
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
Type Description
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
Type Description
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
Type Description
float

The videoConfidenceThreshold.

internalGetFieldAccessorTable()

protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Returns
Type Description
FieldAccessorTable
Overrides

isInitialized()

public final boolean isInitialized()
Returns
Type Description
boolean
Overrides

mergeFrom(LabelDetectionConfig other)

public LabelDetectionConfig.Builder mergeFrom(LabelDetectionConfig other)
Parameter
Name Description
other LabelDetectionConfig
Returns
Type Description
LabelDetectionConfig.Builder

mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

public LabelDetectionConfig.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
Name Description
input CodedInputStream
extensionRegistry ExtensionRegistryLite
Returns
Type Description
LabelDetectionConfig.Builder
Overrides
Exceptions
Type Description
IOException

mergeFrom(Message other)

public LabelDetectionConfig.Builder mergeFrom(Message other)
Parameter
Name Description
other Message
Returns
Type Description
LabelDetectionConfig.Builder
Overrides

mergeUnknownFields(UnknownFieldSet unknownFields)

public final LabelDetectionConfig.Builder mergeUnknownFields(UnknownFieldSet unknownFields)
Parameter
Name Description
unknownFields UnknownFieldSet
Returns
Type Description
LabelDetectionConfig.Builder
Overrides

setField(Descriptors.FieldDescriptor field, Object value)

public LabelDetectionConfig.Builder setField(Descriptors.FieldDescriptor field, Object value)
Parameters
Name Description
field FieldDescriptor
value Object
Returns
Type Description
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
Name Description
value float

The frameConfidenceThreshold to set.

Returns
Type Description
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
Name Description
value LabelDetectionMode

The labelDetectionMode to set.

Returns
Type Description
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
Name Description
value int

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

Returns
Type Description
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
Name Description
value String

The model to set.

Returns
Type Description
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
Name Description
value ByteString

The bytes for model to set.

Returns
Type Description
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
Name Description
field FieldDescriptor
index int
value Object
Returns
Type Description
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
Name Description
value boolean

The stationaryCamera to set.

Returns
Type Description
LabelDetectionConfig.Builder

This builder for chaining.

setUnknownFields(UnknownFieldSet unknownFields)

public final LabelDetectionConfig.Builder setUnknownFields(UnknownFieldSet unknownFields)
Parameter
Name Description
unknownFields UnknownFieldSet
Returns
Type Description
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
Name Description
value float

The videoConfidenceThreshold to set.

Returns
Type Description
LabelDetectionConfig.Builder

This builder for chaining.