Class ImageObjectDetectionEvaluationMetrics (2.46.0) 

public final class ImageObjectDetectionEvaluationMetrics extends GeneratedMessageV3 implements ImageObjectDetectionEvaluationMetricsOrBuilder

Model evaluation metrics for image object detection problems. Evaluates prediction quality of labeled bounding boxes.

Protobuf type google.cloud.automl.v1.ImageObjectDetectionEvaluationMetrics

Inheritance

Object > AbstractMessageLite<MessageType,BuilderType> > AbstractMessage > GeneratedMessageV3 > ImageObjectDetectionEvaluationMetrics

Static Fields

BOUNDING_BOX_MEAN_AVERAGE_PRECISION_FIELD_NUMBER

public static final int BOUNDING_BOX_MEAN_AVERAGE_PRECISION_FIELD_NUMBER
Field Value
Type Description
int

BOUNDING_BOX_METRICS_ENTRIES_FIELD_NUMBER

public static final int BOUNDING_BOX_METRICS_ENTRIES_FIELD_NUMBER
Field Value
Type Description
int

EVALUATED_BOUNDING_BOX_COUNT_FIELD_NUMBER

public static final int EVALUATED_BOUNDING_BOX_COUNT_FIELD_NUMBER
Field Value
Type Description
int

Static Methods

getDefaultInstance()

public static ImageObjectDetectionEvaluationMetrics getDefaultInstance()
Returns
Type Description
ImageObjectDetectionEvaluationMetrics

getDescriptor()

public static final Descriptors.Descriptor getDescriptor()
Returns
Type Description
Descriptor

newBuilder()

public static ImageObjectDetectionEvaluationMetrics.Builder newBuilder()
Returns
Type Description
ImageObjectDetectionEvaluationMetrics.Builder

newBuilder(ImageObjectDetectionEvaluationMetrics prototype)

public static ImageObjectDetectionEvaluationMetrics.Builder newBuilder(ImageObjectDetectionEvaluationMetrics prototype)
Parameter
Name Description
prototype ImageObjectDetectionEvaluationMetrics
Returns
Type Description
ImageObjectDetectionEvaluationMetrics.Builder

parseDelimitedFrom(InputStream input)

public static ImageObjectDetectionEvaluationMetrics parseDelimitedFrom(InputStream input)
Parameter
Name Description
input InputStream
Returns
Type Description
ImageObjectDetectionEvaluationMetrics
Exceptions
Type Description
IOException

parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)

public static ImageObjectDetectionEvaluationMetrics parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
Name Description
input InputStream
extensionRegistry ExtensionRegistryLite
Returns
Type Description
ImageObjectDetectionEvaluationMetrics
Exceptions
Type Description
IOException

parseFrom(byte[] data)

public static ImageObjectDetectionEvaluationMetrics parseFrom(byte[] data)
Parameter
Name Description
data byte[]
Returns
Type Description
ImageObjectDetectionEvaluationMetrics
Exceptions
Type Description
InvalidProtocolBufferException

parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)

public static ImageObjectDetectionEvaluationMetrics parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)
Parameters
Name Description
data byte[]
extensionRegistry ExtensionRegistryLite
Returns
Type Description
ImageObjectDetectionEvaluationMetrics
Exceptions
Type Description
InvalidProtocolBufferException

parseFrom(ByteString data)

public static ImageObjectDetectionEvaluationMetrics parseFrom(ByteString data)
Parameter
Name Description
data ByteString
Returns
Type Description
ImageObjectDetectionEvaluationMetrics
Exceptions
Type Description
InvalidProtocolBufferException

parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)

public static ImageObjectDetectionEvaluationMetrics parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)
Parameters
Name Description
data ByteString
extensionRegistry ExtensionRegistryLite
Returns
Type Description
ImageObjectDetectionEvaluationMetrics
Exceptions
Type Description
InvalidProtocolBufferException

parseFrom(CodedInputStream input)

public static ImageObjectDetectionEvaluationMetrics parseFrom(CodedInputStream input)
Parameter
Name Description
input CodedInputStream
Returns
Type Description
ImageObjectDetectionEvaluationMetrics
Exceptions
Type Description
IOException

parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

public static ImageObjectDetectionEvaluationMetrics parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
Name Description
input CodedInputStream
extensionRegistry ExtensionRegistryLite
Returns
Type Description
ImageObjectDetectionEvaluationMetrics
Exceptions
Type Description
IOException

parseFrom(InputStream input)

public static ImageObjectDetectionEvaluationMetrics parseFrom(InputStream input)
Parameter
Name Description
input InputStream
Returns
Type Description
ImageObjectDetectionEvaluationMetrics
Exceptions
Type Description
IOException

parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)

public static ImageObjectDetectionEvaluationMetrics parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
Name Description
input InputStream
extensionRegistry ExtensionRegistryLite
Returns
Type Description
ImageObjectDetectionEvaluationMetrics
Exceptions
Type Description
IOException

parseFrom(ByteBuffer data)

public static ImageObjectDetectionEvaluationMetrics parseFrom(ByteBuffer data)
Parameter
Name Description
data ByteBuffer
Returns
Type Description
ImageObjectDetectionEvaluationMetrics
Exceptions
Type Description
InvalidProtocolBufferException

parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)

public static ImageObjectDetectionEvaluationMetrics parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)
Parameters
Name Description
data ByteBuffer
extensionRegistry ExtensionRegistryLite
Returns
Type Description
ImageObjectDetectionEvaluationMetrics
Exceptions
Type Description
InvalidProtocolBufferException

parser()

public static Parser<ImageObjectDetectionEvaluationMetrics> parser()
Returns
Type Description
Parser<ImageObjectDetectionEvaluationMetrics>

Methods

equals(Object obj)

public boolean equals(Object obj)
Parameter
Name Description
obj Object
Returns
Type Description
boolean
Overrides

getBoundingBoxMeanAveragePrecision()

public float getBoundingBoxMeanAveragePrecision()

Output only. The single metric for bounding boxes evaluation: the mean_average_precision averaged over all bounding_box_metrics_entries.

float bounding_box_mean_average_precision = 3;

Returns
Type Description
float

The boundingBoxMeanAveragePrecision.

getBoundingBoxMetricsEntries(int index)

public BoundingBoxMetricsEntry getBoundingBoxMetricsEntries(int index)

Output only. The bounding boxes match metrics for each Intersection-over-union threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99 and each label confidence threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99 pair.

repeated .google.cloud.automl.v1.BoundingBoxMetricsEntry bounding_box_metrics_entries = 2;

Parameter
Name Description
index int
Returns
Type Description
BoundingBoxMetricsEntry

getBoundingBoxMetricsEntriesCount()

public int getBoundingBoxMetricsEntriesCount()

Output only. The bounding boxes match metrics for each Intersection-over-union threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99 and each label confidence threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99 pair.

repeated .google.cloud.automl.v1.BoundingBoxMetricsEntry bounding_box_metrics_entries = 2;

Returns
Type Description
int

getBoundingBoxMetricsEntriesList()

public List<BoundingBoxMetricsEntry> getBoundingBoxMetricsEntriesList()

Output only. The bounding boxes match metrics for each Intersection-over-union threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99 and each label confidence threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99 pair.

repeated .google.cloud.automl.v1.BoundingBoxMetricsEntry bounding_box_metrics_entries = 2;

Returns
Type Description
List<BoundingBoxMetricsEntry>

getBoundingBoxMetricsEntriesOrBuilder(int index)

public BoundingBoxMetricsEntryOrBuilder getBoundingBoxMetricsEntriesOrBuilder(int index)

Output only. The bounding boxes match metrics for each Intersection-over-union threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99 and each label confidence threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99 pair.

repeated .google.cloud.automl.v1.BoundingBoxMetricsEntry bounding_box_metrics_entries = 2;

Parameter
Name Description
index int
Returns
Type Description
BoundingBoxMetricsEntryOrBuilder

getBoundingBoxMetricsEntriesOrBuilderList()

public List<? extends BoundingBoxMetricsEntryOrBuilder> getBoundingBoxMetricsEntriesOrBuilderList()

Output only. The bounding boxes match metrics for each Intersection-over-union threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99 and each label confidence threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99 pair.

repeated .google.cloud.automl.v1.BoundingBoxMetricsEntry bounding_box_metrics_entries = 2;

Returns
Type Description
List<? extends com.google.cloud.automl.v1.BoundingBoxMetricsEntryOrBuilder>

getDefaultInstanceForType()

public ImageObjectDetectionEvaluationMetrics getDefaultInstanceForType()
Returns
Type Description
ImageObjectDetectionEvaluationMetrics

getEvaluatedBoundingBoxCount()

public int getEvaluatedBoundingBoxCount()

Output only. The total number of bounding boxes (i.e. summed over all images) the ground truth used to create this evaluation had.

int32 evaluated_bounding_box_count = 1;

Returns
Type Description
int

The evaluatedBoundingBoxCount.

getParserForType()

public Parser<ImageObjectDetectionEvaluationMetrics> getParserForType()
Returns
Type Description
Parser<ImageObjectDetectionEvaluationMetrics>
Overrides

getSerializedSize()

public int getSerializedSize()
Returns
Type Description
int
Overrides

hashCode()

public int hashCode()
Returns
Type Description
int
Overrides

internalGetFieldAccessorTable()

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

isInitialized()

public final boolean isInitialized()
Returns
Type Description
boolean
Overrides

newBuilderForType()

public ImageObjectDetectionEvaluationMetrics.Builder newBuilderForType()
Returns
Type Description
ImageObjectDetectionEvaluationMetrics.Builder

newBuilderForType(GeneratedMessageV3.BuilderParent parent)

protected ImageObjectDetectionEvaluationMetrics.Builder newBuilderForType(GeneratedMessageV3.BuilderParent parent)
Parameter
Name Description
parent BuilderParent
Returns
Type Description
ImageObjectDetectionEvaluationMetrics.Builder
Overrides

newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)

protected Object newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)
Parameter
Name Description
unused UnusedPrivateParameter
Returns
Type Description
Object
Overrides

toBuilder()

public ImageObjectDetectionEvaluationMetrics.Builder toBuilder()
Returns
Type Description
ImageObjectDetectionEvaluationMetrics.Builder

writeTo(CodedOutputStream output)

public void writeTo(CodedOutputStream output)
Parameter
Name Description
output CodedOutputStream
Overrides
Exceptions
Type Description
IOException