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DetectionOffset

Apply fixed offset on width and height of detections.

Step parameters

  • type: must be DetectionOffset (required)
  • name: must be unique within all steps - used as identifier (required)
  • predictions: reference to predictions output of the detections model: [ObjectDetectionModel, KeypointsDetectionModel, InstanceSegmentationModel, DetectionFilter, DetectionsConsensus, DetectionOffset, YoloWorld] (required)
  • offset_x: reference to input parameter of integer value for detection width offset (required)
  • offset_y: reference to input parameter of integer value for detection height offset (required)

Step outputs:

  • predictions - details of predictions
  • image - size of input image, that predictions coordinates refers to
  • parent_id - identifier of parent image / associated detection that helps to identify predictions with RoI in case of multi-step pipelines
  • prediction_type - denoting parent model type