GoogleApi.VideoIntelligence.V1.Model.GoogleCloudVideointelligenceV1_LabelDetectionConfig (google_api_video_intelligence v0.33.0)

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Config for LABEL_DETECTION.

Attributes

  • frameConfidenceThreshold (type: number(), default: nil) - The confidence threshold we perform filtering on the labels from frame-level detection. If not set, it is set to 0.4 by default. The valid range for this threshold is [0.1, 0.9]. Any value set outside of this range will be clipped. Note: For best results, follow the default threshold. We will update the default threshold everytime when we release a new model.
  • labelDetectionMode (type: String.t, default: nil) - What labels should be detected with LABEL_DETECTION, in addition to video-level labels or segment-level labels. If unspecified, defaults to SHOT_MODE.
  • model (type: String.t, default: nil) - Model to use for label detection. Supported values: "builtin/stable" (the default if unset) and "builtin/latest".
  • stationaryCamera (type: boolean(), default: nil) - Whether the video has been shot from a stationary (i.e., non-moving) camera. When set to true, might improve detection accuracy for moving objects. Should be used with SHOT_AND_FRAME_MODE enabled.
  • videoConfidenceThreshold (type: number(), default: nil) - The confidence threshold we perform filtering on the labels from video-level and shot-level detections. If not set, it's set to 0.3 by default. The valid range for this threshold is [0.1, 0.9]. Any value set outside of this range will be clipped. Note: For best results, follow the default threshold. We will update the default threshold everytime when we release a new model.

Summary

Functions

Unwrap a decoded JSON object into its complex fields.

Types

t()

@type t() ::
  %GoogleApi.VideoIntelligence.V1.Model.GoogleCloudVideointelligenceV1_LabelDetectionConfig{
    frameConfidenceThreshold: number() | nil,
    labelDetectionMode: String.t() | nil,
    model: String.t() | nil,
    stationaryCamera: boolean() | nil,
    videoConfidenceThreshold: number() | nil
  }

Functions

decode(value, options)

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

Unwrap a decoded JSON object into its complex fields.