Class ImageObjectDetectionEvaluationMetrics

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
TypeDescription
int

BOUNDING_BOX_METRICS_ENTRIES_FIELD_NUMBER

public static final int BOUNDING_BOX_METRICS_ENTRIES_FIELD_NUMBER
Field Value
TypeDescription
int

EVALUATED_BOUNDING_BOX_COUNT_FIELD_NUMBER

public static final int EVALUATED_BOUNDING_BOX_COUNT_FIELD_NUMBER
Field Value
TypeDescription
int

Static Methods

getDefaultInstance()

public static ImageObjectDetectionEvaluationMetrics getDefaultInstance()
Returns
TypeDescription
ImageObjectDetectionEvaluationMetrics

getDescriptor()

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

newBuilder()

public static ImageObjectDetectionEvaluationMetrics.Builder newBuilder()
Returns
TypeDescription
ImageObjectDetectionEvaluationMetrics.Builder

newBuilder(ImageObjectDetectionEvaluationMetrics prototype)

public static ImageObjectDetectionEvaluationMetrics.Builder newBuilder(ImageObjectDetectionEvaluationMetrics prototype)
Parameter
NameDescription
prototypeImageObjectDetectionEvaluationMetrics
Returns
TypeDescription
ImageObjectDetectionEvaluationMetrics.Builder

parseDelimitedFrom(InputStream input)

public static ImageObjectDetectionEvaluationMetrics parseDelimitedFrom(InputStream input)
Parameter
NameDescription
inputInputStream
Returns
TypeDescription
ImageObjectDetectionEvaluationMetrics
Exceptions
TypeDescription
IOException

parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)

public static ImageObjectDetectionEvaluationMetrics parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
NameDescription
inputInputStream
extensionRegistryExtensionRegistryLite
Returns
TypeDescription
ImageObjectDetectionEvaluationMetrics
Exceptions
TypeDescription
IOException

parseFrom(byte[] data)

public static ImageObjectDetectionEvaluationMetrics parseFrom(byte[] data)
Parameter
NameDescription
databyte[]
Returns
TypeDescription
ImageObjectDetectionEvaluationMetrics
Exceptions
TypeDescription
InvalidProtocolBufferException

parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)

public static ImageObjectDetectionEvaluationMetrics parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)
Parameters
NameDescription
databyte[]
extensionRegistryExtensionRegistryLite
Returns
TypeDescription
ImageObjectDetectionEvaluationMetrics
Exceptions
TypeDescription
InvalidProtocolBufferException

parseFrom(ByteString data)

public static ImageObjectDetectionEvaluationMetrics parseFrom(ByteString data)
Parameter
NameDescription
dataByteString
Returns
TypeDescription
ImageObjectDetectionEvaluationMetrics
Exceptions
TypeDescription
InvalidProtocolBufferException

parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)

public static ImageObjectDetectionEvaluationMetrics parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)
Parameters
NameDescription
dataByteString
extensionRegistryExtensionRegistryLite
Returns
TypeDescription
ImageObjectDetectionEvaluationMetrics
Exceptions
TypeDescription
InvalidProtocolBufferException

parseFrom(CodedInputStream input)

public static ImageObjectDetectionEvaluationMetrics parseFrom(CodedInputStream input)
Parameter
NameDescription
inputCodedInputStream
Returns
TypeDescription
ImageObjectDetectionEvaluationMetrics
Exceptions
TypeDescription
IOException

parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

public static ImageObjectDetectionEvaluationMetrics parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
NameDescription
inputCodedInputStream
extensionRegistryExtensionRegistryLite
Returns
TypeDescription
ImageObjectDetectionEvaluationMetrics
Exceptions
TypeDescription
IOException

parseFrom(InputStream input)

public static ImageObjectDetectionEvaluationMetrics parseFrom(InputStream input)
Parameter
NameDescription
inputInputStream
Returns
TypeDescription
ImageObjectDetectionEvaluationMetrics
Exceptions
TypeDescription
IOException

parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)

public static ImageObjectDetectionEvaluationMetrics parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
NameDescription
inputInputStream
extensionRegistryExtensionRegistryLite
Returns
TypeDescription
ImageObjectDetectionEvaluationMetrics
Exceptions
TypeDescription
IOException

parseFrom(ByteBuffer data)

public static ImageObjectDetectionEvaluationMetrics parseFrom(ByteBuffer data)
Parameter
NameDescription
dataByteBuffer
Returns
TypeDescription
ImageObjectDetectionEvaluationMetrics
Exceptions
TypeDescription
InvalidProtocolBufferException

parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)

public static ImageObjectDetectionEvaluationMetrics parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)
Parameters
NameDescription
dataByteBuffer
extensionRegistryExtensionRegistryLite
Returns
TypeDescription
ImageObjectDetectionEvaluationMetrics
Exceptions
TypeDescription
InvalidProtocolBufferException

parser()

public static Parser<ImageObjectDetectionEvaluationMetrics> parser()
Returns
TypeDescription
Parser<ImageObjectDetectionEvaluationMetrics>

Methods

equals(Object obj)

public boolean equals(Object obj)
Parameter
NameDescription
objObject
Returns
TypeDescription
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
TypeDescription
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
NameDescription
indexint
Returns
TypeDescription
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
TypeDescription
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
TypeDescription
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
NameDescription
indexint
Returns
TypeDescription
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
TypeDescription
List<? extends com.google.cloud.automl.v1.BoundingBoxMetricsEntryOrBuilder>

getDefaultInstanceForType()

public ImageObjectDetectionEvaluationMetrics getDefaultInstanceForType()
Returns
TypeDescription
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
TypeDescription
int

The evaluatedBoundingBoxCount.

getParserForType()

public Parser<ImageObjectDetectionEvaluationMetrics> getParserForType()
Returns
TypeDescription
Parser<ImageObjectDetectionEvaluationMetrics>
Overrides

getSerializedSize()

public int getSerializedSize()
Returns
TypeDescription
int
Overrides

getUnknownFields()

public final UnknownFieldSet getUnknownFields()
Returns
TypeDescription
UnknownFieldSet
Overrides

hashCode()

public int hashCode()
Returns
TypeDescription
int
Overrides

internalGetFieldAccessorTable()

protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Returns
TypeDescription
FieldAccessorTable
Overrides

isInitialized()

public final boolean isInitialized()
Returns
TypeDescription
boolean
Overrides

newBuilderForType()

public ImageObjectDetectionEvaluationMetrics.Builder newBuilderForType()
Returns
TypeDescription
ImageObjectDetectionEvaluationMetrics.Builder

newBuilderForType(GeneratedMessageV3.BuilderParent parent)

protected ImageObjectDetectionEvaluationMetrics.Builder newBuilderForType(GeneratedMessageV3.BuilderParent parent)
Parameter
NameDescription
parentBuilderParent
Returns
TypeDescription
ImageObjectDetectionEvaluationMetrics.Builder
Overrides

newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)

protected Object newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)
Parameter
NameDescription
unusedUnusedPrivateParameter
Returns
TypeDescription
Object
Overrides

toBuilder()

public ImageObjectDetectionEvaluationMetrics.Builder toBuilder()
Returns
TypeDescription
ImageObjectDetectionEvaluationMetrics.Builder

writeTo(CodedOutputStream output)

public void writeTo(CodedOutputStream output)
Parameter
NameDescription
outputCodedOutputStream
Overrides Exceptions
TypeDescription
IOException