Label COCO-Wholebody-Hand Landmarks avatar

Label COCO-Wholebody-Hand Landmarks

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Convert landmark list to Hand21 schema for hand gesture analysis

Use This When

  • Standardizing hand landmarks to COCO WholeBody 21-keypoint hand schema
  • Building gesture recognition systems requiring finger joint positions
  • Interfacing with hand pose analyzers expecting named finger keypoint fields
  • Preparing hand landmark data for sign language recognition or hand tracking

What It Does

  • Converts ordered 21-point landmark list to structured Hand21 format with named fields
  • Maps wrist and 4 joints per finger (thumb, forefinger, middle, ring, pinky)
  • Validates minimum landmark count and fails if fewer than 21 landmarks provided
  • Returns typed Landmarks2d.Hand21 structure for downstream hand analysis components

Works Best With

  • Hand pose detector → this component → gesture recognition or sign language analysis
  • detect-keypoints-hf → this component → hand-specific analytics
  • Integration with visualize for hand skeleton rendering
  • Feeding gesture classifiers that rely on named finger joint access

Caveats

  • Requires exactly 21 or more landmarks; fails with fewer even if partial hand acceptable
  • No validation that landmark semantics match expected hand ordering; assumes correct sequence
  • Confidence scores preserved but not validated; downstream must filter low-confidence joints
  • Additional landmarks beyond 21 ignored; uses only first 21 points in order

Versions

  • 11911e88latestdefaultlinux/amd64

    Automated release