Struct googapis::google::cloud::automl::v1beta1::VideoObjectTrackingEvaluationMetrics[][src]

pub struct VideoObjectTrackingEvaluationMetrics {
    pub evaluated_frame_count: i32,
    pub evaluated_bounding_box_count: i32,
    pub bounding_box_metrics_entries: Vec<BoundingBoxMetricsEntry>,
    pub bounding_box_mean_average_precision: f32,
}
Expand description

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).

Fields

evaluated_frame_count: i32

Output only. The number of video frames used to create this evaluation.

evaluated_bounding_box_count: i32

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: Vec<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: f32

Output only. The single metric for bounding boxes evaluation: the mean_average_precision averaged over all bounding_box_metrics_entries.

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