View Source GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1SchemaModelevaluationMetricsVideoObjectTrackingMetrics (google_api_ai_platform v0.13.0)

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).

Attributes

boundingBoxMeanAveragePrecision (type: number(), default: nil) - The single metric for bounding boxes evaluation: the meanAveragePrecision averaged over all boundingBoxMetrics.
boundingBoxMetrics (type: list(GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1SchemaModelevaluationMetricsBoundingBoxMetrics.t), default: nil) - 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.
evaluatedBoundingBoxCount (type: integer(), default: nil) - UNIMPLEMENTED. The total number of bounding boxes (i.e. summed over all frames) the ground truth used to create this evaluation had.
evaluatedFrameCount (type: integer(), default: nil) - UNIMPLEMENTED. The number of video frames used to create this evaluation.
evaluatedTrackCount (type: integer(), default: nil) - UNIMPLEMENTED. The total number of tracks (i.e. as seen across all frames) the ground truth used to create this evaluation had.
trackMeanAveragePrecision (type: number(), default: nil) - UNIMPLEMENTED. The single metric for tracks accuracy evaluation: the meanAveragePrecision averaged over all trackMetrics.
trackMeanBoundingBoxIou (type: number(), default: nil) - UNIMPLEMENTED. The single metric for tracks bounding box iou evaluation: the meanBoundingBoxIou averaged over all trackMetrics.
trackMeanMismatchRate (type: number(), default: nil) - UNIMPLEMENTED. The single metric for tracking consistency evaluation: the meanMismatchRate averaged over all trackMetrics.
trackMetrics (type: list(GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1SchemaModelevaluationMetricsTrackMetrics.t), default: nil) - UNIMPLEMENTED. The tracks 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.

Summary

Types

t()

Functions

decode(value, options)

Unwrap a decoded JSON object into its complex fields.

Types

t()

@type t() ::
  %GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1SchemaModelevaluationMetricsVideoObjectTrackingMetrics{
    boundingBoxMeanAveragePrecision: number() | nil,
    boundingBoxMetrics:
      [
        GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1SchemaModelevaluationMetricsBoundingBoxMetrics.t()
      ]
      | nil,
    evaluatedBoundingBoxCount: integer() | nil,
    evaluatedFrameCount: integer() | nil,
    evaluatedTrackCount: integer() | nil,
    trackMeanAveragePrecision: number() | nil,
    trackMeanBoundingBoxIou: number() | nil,
    trackMeanMismatchRate: number() | nil,
    trackMetrics:
      [
        GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1SchemaModelevaluationMetricsTrackMetrics.t()
      ]
      | nil
  }

Functions

decode(value, options)

@spec decode(struct(), keyword()) :: struct()

Unwrap a decoded JSON object into its complex fields.