CueDetat MASTER_POOL_MODEL — Pool Table / Ball Detector
The TFLite detector used by the CueDetat Android app for pocket/table and ball/cue detection.
YOLOv8n, 640×640 input, FP16, NMS in-graph.
Files
MASTER_POOL_MODEL.tflite — a single binary that concatenates four sub-models.MASTER_POOL_MODEL.tflite.meta — 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 — Ultralytics export metadata (classes, imgsz, stride).
Segments the app actually runs
- Segment 0 — pocket/table detector. Output:
[1, N, 6] rows (y1, x1, y2, x2, score, classId).
- Segment 2 — 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, 640×640.
- License: AGPL-3.0 (Ultralytics-derived).
