public interface VideoObjectTrackingEvaluationMetricsOrBuilder extends MessageOrBuilderImplements
MessageOrBuilderMethods
getBoundingBoxMeanAveragePrecision()
public abstract 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;
| Type | Description |
| float | The boundingBoxMeanAveragePrecision. |
getBoundingBoxMetricsEntries(int index)
public abstract 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;
| Name | Description |
| index | int |
| Type | Description |
| BoundingBoxMetricsEntry |
getBoundingBoxMetricsEntriesCount()
public abstract 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;
| Type | Description |
| int |
getBoundingBoxMetricsEntriesList()
public abstract 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;
| Type | Description |
| List<BoundingBoxMetricsEntry> |
getBoundingBoxMetricsEntriesOrBuilder(int index)
public abstract 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;
| Name | Description |
| index | int |
| Type | Description |
| BoundingBoxMetricsEntryOrBuilder |
getBoundingBoxMetricsEntriesOrBuilderList()
public abstract 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;
| Type | Description |
| List<? extends com.google.cloud.automl.v1beta1.BoundingBoxMetricsEntryOrBuilder> |
getEvaluatedBoundingBoxCount()
public abstract 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;
| Type | Description |
| int | The evaluatedBoundingBoxCount. |
getEvaluatedFrameCount()
public abstract int getEvaluatedFrameCount()Output only. The number of video frames used to create this evaluation.
int32 evaluated_frame_count = 1;
| Type | Description |
| int | The evaluatedFrameCount. |