Package com.google.cloud.automl.v1
Interface ImageObjectDetectionEvaluationMetricsOrBuilder
- All Superinterfaces:
com.google.protobuf.MessageLiteOrBuilder,com.google.protobuf.MessageOrBuilder
- All Known Implementing Classes:
ImageObjectDetectionEvaluationMetrics,ImageObjectDetectionEvaluationMetrics.Builder
@Generated
public interface ImageObjectDetectionEvaluationMetricsOrBuilder
extends com.google.protobuf.MessageOrBuilder
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Method Summary
Modifier and TypeMethodDescriptionfloatOutput only.getBoundingBoxMetricsEntries(int index) Output only.intOutput only.Output only.getBoundingBoxMetricsEntriesOrBuilder(int index) Output only.List<? extends BoundingBoxMetricsEntryOrBuilder>Output only.intOutput only.Methods inherited from interface com.google.protobuf.MessageLiteOrBuilder
isInitializedMethods inherited from interface com.google.protobuf.MessageOrBuilder
findInitializationErrors, getAllFields, getDefaultInstanceForType, getDescriptorForType, getField, getInitializationErrorString, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof
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Method Details
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getEvaluatedBoundingBoxCount
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:
- The evaluatedBoundingBoxCount.
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getBoundingBoxMetricsEntriesList
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; -
getBoundingBoxMetricsEntries
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; -
getBoundingBoxMetricsEntriesCount
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; -
getBoundingBoxMetricsEntriesOrBuilderList
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; -
getBoundingBoxMetricsEntriesOrBuilder
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; -
getBoundingBoxMeanAveragePrecision
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:
- The boundingBoxMeanAveragePrecision.
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