Adriano f00cf9b621 feat: cache features template per _refine_angle ...

Cache LRU (chiave: angolo arrotondato a 0.05deg, scale) di
(fx, fy, fb) per evitare warpAffine + gradient + extract ripetuti
durante golden-search refine. Bucket condiviso tra match della stessa
find() e tra find() consecutive sulla stessa ricetta.

Cache invalidata in train(): il template puo essere cambiato.
Limite 256 entry (sufficiente per 32 candidati x 8 valutazioni).

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

2026-05-04 15:31:37 +02:00

..

web

feat: upload file nella cartella IMAGES_DIR

2026-04-24 14:45:16 +02:00

__init__.py

perf: Numba JIT kernel per score_by_shift (2.1x speedup)

2026-04-24 01:30:31 +02:00

_jit_kernels.py

perf: Fase 2 speed (3x baseline) - fuse JIT + LRU + sub-pixel lazy

2026-04-24 21:21:59 +00:00

auto_tune.py

perf: Fase 2 speed (3x baseline) - fuse JIT + LRU + sub-pixel lazy

2026-04-24 21:21:59 +00:00

gui.py

ui: layout fisso 1600x900 con pannelli SX/DX, scena scalata

2026-04-24 08:59:06 +02:00

line_matcher.py

feat: cache features template per _refine_angle

2026-05-04 15:31:37 +02:00

matcher.py

perf: piramide al training, refinement sub-step, multithreading

2026-04-24 01:22:56 +02:00