metadata
license: cc0-1.0
library_name: onnx
tags:
- billiards
- trajectory-prediction
- onnx
- cuedetat
- flow-poke
CueDetat MYRIAD — Billiards Trajectory Student
Distilled "Flow-Poke" student model used on-device by the CueDetat Android app to predict a billiard ball's trajectory from a top-down table image and a poke. Archived for preservation; the app has since removed the feature.
Files
myriad_billiard.onnx— FP16, ~466 KB. Exact file that shipped in the app (assets/).myriad_student_fp32.onnx(+myriad_student_fp32.onnx.data) — FP32 source in ONNX external-data format; keep both files together.
Inputs / Outputs
image: Float32[1,3,128,128], CHW, normalized to [-1, 1].poke: Float32[1,4] = (x, y, dx, dy); position normalized [0,1], displacement ≈ 0.02–0.075.trajectory(output): Float32[1,30,2] = 30 (x,y) points of the poked (ball-0) ball, normalized [0,1].
Expected input frame (top-down synthetic)
Grey surround RGB(128,128,128); white table rectangle RGB(255,255,255) inset 6–12 px; balls as solid circles, radius ≈ 4 px (0.0333·128); the poked ball red (255,0,0), all others black (0,0,0).
Provenance
- Teacher: CompVis/flow-poke-transformer (billiards physics).
- Distillation dataset: Kaggle
hereliesaz/cuedetat-trajectories(~50k image/poke/trajectory tuples). - Architecture: CNN(image)→128 ⊕ MLP(poke)→64 → MLP[256,128] → [30,2].
- License: CC0-1.0.