public final class VideoObjectTrackingEvaluationMetrics extends GeneratedMessageV3 implements VideoObjectTrackingEvaluationMetricsOrBuilder
Model evaluation metrics for video object tracking problems.
Evaluates prediction quality of both labeled bounding boxes and labeled
tracks (i.e. series of bounding boxes sharing same label and instance ID).
Protobuf type google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics
Static Fields
BOUNDING_BOX_MEAN_AVERAGE_PRECISION_FIELD_NUMBER
public static final int BOUNDING_BOX_MEAN_AVERAGE_PRECISION_FIELD_NUMBER
Field Value |
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Type | Description |
int | |
BOUNDING_BOX_METRICS_ENTRIES_FIELD_NUMBER
public static final int BOUNDING_BOX_METRICS_ENTRIES_FIELD_NUMBER
Field Value |
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Type | Description |
int | |
EVALUATED_BOUNDING_BOX_COUNT_FIELD_NUMBER
public static final int EVALUATED_BOUNDING_BOX_COUNT_FIELD_NUMBER
Field Value |
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Type | Description |
int | |
EVALUATED_FRAME_COUNT_FIELD_NUMBER
public static final int EVALUATED_FRAME_COUNT_FIELD_NUMBER
Field Value |
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Type | Description |
int | |
Static Methods
getDefaultInstance()
public static VideoObjectTrackingEvaluationMetrics getDefaultInstance()
getDescriptor()
public static final Descriptors.Descriptor getDescriptor()
newBuilder()
public static VideoObjectTrackingEvaluationMetrics.Builder newBuilder()
newBuilder(VideoObjectTrackingEvaluationMetrics prototype)
public static VideoObjectTrackingEvaluationMetrics.Builder newBuilder(VideoObjectTrackingEvaluationMetrics prototype)
public static VideoObjectTrackingEvaluationMetrics parseDelimitedFrom(InputStream input)
public static VideoObjectTrackingEvaluationMetrics parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
parseFrom(byte[] data)
public static VideoObjectTrackingEvaluationMetrics parseFrom(byte[] data)
Parameter |
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Name | Description |
data | byte[]
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parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)
public static VideoObjectTrackingEvaluationMetrics parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)
parseFrom(ByteString data)
public static VideoObjectTrackingEvaluationMetrics parseFrom(ByteString data)
parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)
public static VideoObjectTrackingEvaluationMetrics parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)
public static VideoObjectTrackingEvaluationMetrics parseFrom(CodedInputStream input)
public static VideoObjectTrackingEvaluationMetrics parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
public static VideoObjectTrackingEvaluationMetrics parseFrom(InputStream input)
public static VideoObjectTrackingEvaluationMetrics parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
parseFrom(ByteBuffer data)
public static VideoObjectTrackingEvaluationMetrics parseFrom(ByteBuffer data)
parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)
public static VideoObjectTrackingEvaluationMetrics parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)
parser()
public static Parser<VideoObjectTrackingEvaluationMetrics> parser()
Methods
equals(Object obj)
public boolean equals(Object obj)
Parameter |
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Name | Description |
obj | Object
|
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 = 6;
Returns |
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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.v1beta1.BoundingBoxMetricsEntry bounding_box_metrics_entries = 4;
Parameter |
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Name | Description |
index | int
|
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.v1beta1.BoundingBoxMetricsEntry bounding_box_metrics_entries = 4;
Returns |
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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.v1beta1.BoundingBoxMetricsEntry bounding_box_metrics_entries = 4;
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.v1beta1.BoundingBoxMetricsEntry bounding_box_metrics_entries = 4;
Parameter |
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Name | Description |
index | int
|
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.v1beta1.BoundingBoxMetricsEntry bounding_box_metrics_entries = 4;
Returns |
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Type | Description |
List<? extends com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntryOrBuilder> | |
getDefaultInstanceForType()
public VideoObjectTrackingEvaluationMetrics getDefaultInstanceForType()
getEvaluatedBoundingBoxCount()
public int getEvaluatedBoundingBoxCount()
Output only. The total number of bounding boxes (i.e. summed over all
frames) the ground truth used to create this evaluation had.
int32 evaluated_bounding_box_count = 2;
Returns |
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Type | Description |
int | The evaluatedBoundingBoxCount.
|
getEvaluatedFrameCount()
public int getEvaluatedFrameCount()
Output only. The number of video frames used to create this evaluation.
int32 evaluated_frame_count = 1;
Returns |
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Type | Description |
int | The evaluatedFrameCount.
|
getParserForType()
public Parser<VideoObjectTrackingEvaluationMetrics> getParserForType()
Overrides
getSerializedSize()
public int getSerializedSize()
Returns |
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Type | Description |
int | |
Overrides
getUnknownFields()
public final UnknownFieldSet getUnknownFields()
Overrides
hashCode()
Returns |
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Type | Description |
int | |
Overrides
internalGetFieldAccessorTable()
protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Overrides
isInitialized()
public final boolean isInitialized()
Overrides
newBuilderForType()
public VideoObjectTrackingEvaluationMetrics.Builder newBuilderForType()
newBuilderForType(GeneratedMessageV3.BuilderParent parent)
protected VideoObjectTrackingEvaluationMetrics.Builder newBuilderForType(GeneratedMessageV3.BuilderParent parent)
Overrides
newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)
protected Object newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)
Overrides
toBuilder()
public VideoObjectTrackingEvaluationMetrics.Builder toBuilder()
writeTo(CodedOutputStream output)
public void writeTo(CodedOutputStream output)
Overrides