CueDetat MASTER_POOL_MODEL β€” Pool Table / Ball Detector

The TFLite detector used by the CueDetat Android app for pocket/table and ball/cue detection. YOLOv8n, 640Γ—640 input, FP16, NMS in-graph.

Files

  • MASTER_POOL_MODEL.tflite β€” a single binary that concatenates four sub-models.
  • MASTER_POOL_MODEL.tflite.meta β€” byte offsets/lengths for each segment (required to load): MODEL_i_OFFSET / MODEL_i_LENGTH. The app maps each segment to its own interpreter.
  • metadata.yaml β€” Ultralytics export metadata (classes, imgsz, stride).

Segments the app actually runs

  • Segment 0 β€” pocket/table detector. Output: [1, N, 6] rows (y1, x1, y2, x2, score, classId).
  • Segment 2 β€” pool ball / cue detector. Same row layout.
  • (Segments 1 and 3 exist in the file but are unused by the app.)

Classes (from metadata.yaml)

0: pool-table 1: pool-table-hole 2: pool-table-side (plus ball/cue classes used by the pool head: ball, cue).

Notes

  • Input image normalized to [0,1], RGB, 640Γ—640.
  • License: AGPL-3.0 (Ultralytics-derived).
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