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public static final class LabelDetectionConfig.Builder extends GeneratedMessageV3.Builder<LabelDetectionConfig.Builder> implements LabelDetectionConfigOrBuilder
Config for LABEL_DETECTION.
Protobuf type google.cloud.videointelligence.v1.LabelDetectionConfig
Inheritance
Object > AbstractMessageLite.Builder<MessageType,BuilderType> > AbstractMessage.Builder<BuilderType> > GeneratedMessageV3.Builder > LabelDetectionConfig.BuilderImplements
LabelDetectionConfigOrBuilderStatic Methods
getDescriptor()
public static final Descriptors.Descriptor getDescriptor()
Type | Description |
Descriptor |
Methods
addRepeatedField(Descriptors.FieldDescriptor field, Object value)
public LabelDetectionConfig.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)
Name | Description |
field | FieldDescriptor |
value | Object |
Type | Description |
LabelDetectionConfig.Builder |
build()
public LabelDetectionConfig build()
Type | Description |
LabelDetectionConfig |
buildPartial()
public LabelDetectionConfig buildPartial()
Type | Description |
LabelDetectionConfig |
clear()
public LabelDetectionConfig.Builder clear()
Type | Description |
LabelDetectionConfig.Builder |
clearField(Descriptors.FieldDescriptor field)
public LabelDetectionConfig.Builder clearField(Descriptors.FieldDescriptor field)
Name | Description |
field | FieldDescriptor |
Type | Description |
LabelDetectionConfig.Builder |
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;
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;
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;
Type | Description |
LabelDetectionConfig.Builder | This builder for chaining. |
clearOneof(Descriptors.OneofDescriptor oneof)
public LabelDetectionConfig.Builder clearOneof(Descriptors.OneofDescriptor oneof)
Name | Description |
oneof | OneofDescriptor |
Type | Description |
LabelDetectionConfig.Builder |
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;
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;
Type | Description |
LabelDetectionConfig.Builder | This builder for chaining. |
clone()
public LabelDetectionConfig.Builder clone()
Type | Description |
LabelDetectionConfig.Builder |
getDefaultInstanceForType()
public LabelDetectionConfig getDefaultInstanceForType()
Type | Description |
LabelDetectionConfig |
getDescriptorForType()
public Descriptors.Descriptor getDescriptorForType()
Type | Description |
Descriptor |
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;
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;
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;
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;
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;
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;
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;
Type | Description |
float | The videoConfidenceThreshold. |
internalGetFieldAccessorTable()
protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Type | Description |
FieldAccessorTable |
isInitialized()
public final boolean isInitialized()
Type | Description |
boolean |
mergeFrom(LabelDetectionConfig other)
public LabelDetectionConfig.Builder mergeFrom(LabelDetectionConfig other)
Name | Description |
other | LabelDetectionConfig |
Type | Description |
LabelDetectionConfig.Builder |
mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
public LabelDetectionConfig.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
Name | Description |
input | CodedInputStream |
extensionRegistry | ExtensionRegistryLite |
Type | Description |
LabelDetectionConfig.Builder |
Type | Description |
IOException |
mergeFrom(Message other)
public LabelDetectionConfig.Builder mergeFrom(Message other)
Name | Description |
other | Message |
Type | Description |
LabelDetectionConfig.Builder |
mergeUnknownFields(UnknownFieldSet unknownFields)
public final LabelDetectionConfig.Builder mergeUnknownFields(UnknownFieldSet unknownFields)
Name | Description |
unknownFields | UnknownFieldSet |
Type | Description |
LabelDetectionConfig.Builder |
setField(Descriptors.FieldDescriptor field, Object value)
public LabelDetectionConfig.Builder setField(Descriptors.FieldDescriptor field, Object value)
Name | Description |
field | FieldDescriptor |
value | Object |
Type | Description |
LabelDetectionConfig.Builder |
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;
Name | Description |
value | float The frameConfidenceThreshold to set. |
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;
Name | Description |
value | LabelDetectionMode The labelDetectionMode to set. |
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;
Name | Description |
value | int The enum numeric value on the wire for labelDetectionMode to set. |
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;
Name | Description |
value | String The model to set. |
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;
Name | Description |
value | ByteString The bytes for model to set. |
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)
Name | Description |
field | FieldDescriptor |
index | int |
value | Object |
Type | Description |
LabelDetectionConfig.Builder |
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;
Name | Description |
value | boolean The stationaryCamera to set. |
Type | Description |
LabelDetectionConfig.Builder | This builder for chaining. |
setUnknownFields(UnknownFieldSet unknownFields)
public final LabelDetectionConfig.Builder setUnknownFields(UnknownFieldSet unknownFields)
Name | Description |
unknownFields | UnknownFieldSet |
Type | Description |
LabelDetectionConfig.Builder |
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;
Name | Description |
value | float The videoConfidenceThreshold to set. |
Type | Description |
LabelDetectionConfig.Builder | This builder for chaining. |