Reference documentation and code samples for the Cloud AutoML V1beta1 Client class VideoObjectTrackingEvaluationMetrics.
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).
Generated from protobuf message google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetrics
Namespace
Google \ Cloud \ AutoMl \ V1beta1Methods
__construct
Constructor.
| Parameters | |
|---|---|
| Name | Description |
data |
array
Optional. Data for populating the Message object. |
↳ evaluated_frame_count |
int
Output only. The number of video frames used to create this evaluation. |
↳ evaluated_bounding_box_count |
int
Output only. The total number of bounding boxes (i.e. summed over all frames) the ground truth used to create this evaluation had. |
↳ bounding_box_metrics_entries |
array<Google\Cloud\AutoMl\V1beta1\BoundingBoxMetricsEntry>
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. |
↳ bounding_box_mean_average_precision |
float
Output only. The single metric for bounding boxes evaluation: the mean_average_precision averaged over all bounding_box_metrics_entries. |
getEvaluatedFrameCount
Output only. The number of video frames used to create this evaluation.
| Returns | |
|---|---|
| Type | Description |
int | |
setEvaluatedFrameCount
Output only. The number of video frames used to create this evaluation.
| Parameter | |
|---|---|
| Name | Description |
var |
int
|
| Returns | |
|---|---|
| Type | Description |
$this | |
getEvaluatedBoundingBoxCount
Output only. The total number of bounding boxes (i.e. summed over all frames) the ground truth used to create this evaluation had.
| Returns | |
|---|---|
| Type | Description |
int | |
setEvaluatedBoundingBoxCount
Output only. The total number of bounding boxes (i.e. summed over all frames) the ground truth used to create this evaluation had.
| Parameter | |
|---|---|
| Name | Description |
var |
int
|
| Returns | |
|---|---|
| Type | Description |
$this | |
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.
| Returns | |
|---|---|
| Type | Description |
Google\Protobuf\Internal\RepeatedField | |
setBoundingBoxMetricsEntries
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.
| Parameter | |
|---|---|
| Name | Description |
var |
array<Google\Cloud\AutoMl\V1beta1\BoundingBoxMetricsEntry>
|
| Returns | |
|---|---|
| Type | Description |
$this | |
getBoundingBoxMeanAveragePrecision
Output only. The single metric for bounding boxes evaluation: the mean_average_precision averaged over all bounding_box_metrics_entries.
| Returns | |
|---|---|
| Type | Description |
float | |
setBoundingBoxMeanAveragePrecision
Output only. The single metric for bounding boxes evaluation: the mean_average_precision averaged over all bounding_box_metrics_entries.
| Parameter | |
|---|---|
| Name | Description |
var |
float
|
| Returns | |
|---|---|
| Type | Description |
$this | |