Reference documentation and code samples for the Cloud AutoML V1beta1 API class Google::Cloud::AutoML::V1beta1::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).
Inherits
- Object
Extended By
- Google::Protobuf::MessageExts::ClassMethods
Includes
- Google::Protobuf::MessageExts
Methods
#bounding_box_mean_average_precision
def bounding_box_mean_average_precision() -> ::Float
Returns
- (::Float) — Output only. The single metric for bounding boxes evaluation: the mean_average_precision averaged over all bounding_box_metrics_entries.
#bounding_box_mean_average_precision=
def bounding_box_mean_average_precision=(value) -> ::Float
Parameter
- value (::Float) — Output only. The single metric for bounding boxes evaluation: the mean_average_precision averaged over all bounding_box_metrics_entries.
Returns
- (::Float) — Output only. The single metric for bounding boxes evaluation: the mean_average_precision averaged over all bounding_box_metrics_entries.
#bounding_box_metrics_entries
def bounding_box_metrics_entries() -> ::Array<::Google::Cloud::AutoML::V1beta1::BoundingBoxMetricsEntry>
Returns
- (::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_metrics_entries=
def bounding_box_metrics_entries=(value) -> ::Array<::Google::Cloud::AutoML::V1beta1::BoundingBoxMetricsEntry>
Parameter
- value (::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.
Returns
- (::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.
#evaluated_bounding_box_count
def evaluated_bounding_box_count() -> ::Integer
Returns
- (::Integer) — Output only. The total number of bounding boxes (i.e. summed over all frames) the ground truth used to create this evaluation had.
#evaluated_bounding_box_count=
def evaluated_bounding_box_count=(value) -> ::Integer
Parameter
- value (::Integer) — Output only. The total number of bounding boxes (i.e. summed over all frames) the ground truth used to create this evaluation had.
Returns
- (::Integer) — Output only. The total number of bounding boxes (i.e. summed over all frames) the ground truth used to create this evaluation had.
#evaluated_frame_count
def evaluated_frame_count() -> ::Integer
Returns
- (::Integer) — Output only. The number of video frames used to create this evaluation.
#evaluated_frame_count=
def evaluated_frame_count=(value) -> ::Integer
Parameter
- value (::Integer) — Output only. The number of video frames used to create this evaluation.
Returns
- (::Integer) — Output only. The number of video frames used to create this evaluation.