Adriano/Shape_Model_2D
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feat/halcon-feature-recall
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53 Commits

Author SHA1 Message Date
Adriano b20b11c029 perf: Numba JIT kernel per score_by_shift (2.1x speedup) 
- Nuovo modulo pm2d/_jit_kernels.py con _jit_score_by_shift Numba njit
  parallel + fastmath + boundscheck=False
- Parallelizzazione per riga output (no race condition su acc)
- Fallback automatico numpy se numba non installato
- Warmup automatico al module import (evita JIT lag al 1 match)

Benchmark clip.png (13 istanze):
  prima (numpy + threads): 1.55s
  dopo (numba + threads):  0.72s
  speedup: 2.1x

Pipeline totale full (refine+subpix): 0.80s

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
 2026-04-24 01:30:31 +02:00
Adriano 075b014bd7 perf: piramide al training, refinement sub-step, multithreading 
LineShapeMatcher:
- Feature piramidate precomputate al training (_LevelFeatures per livello
  piramide, dedup risolto una volta)
- Refinement angolare: 5 offset ±step/2 + parabolic fit → precisione ~0.5°
  con angle_step=5° (10x fine rispetto a step training)
- Subpixel posizione: parabolic fit 2D sul picco → frazione pixel
- Multithreading: n_threads auto=CPU-1, parallelizza top-level pruning e
  full-res matching tramite ThreadPoolExecutor (numpy/cv2 rilasciano GIL)

GUI:
- Dialog edit_params con bottone Auto-tune
- Legenda numerata match con pallino colore (#i, coords, angle, scala, score)
- Hotkey finestra: r=params, o=nuovo ROI, m=nuovo modello, s=nuova scena
- Pannello con train/find time + HOTKEY in basso

auto_tune.py:
- Analisi template: soglie grad da percentili, num_features da densità
  edge, pyramid_levels da min_side, min_score da entropia orientation,
  rilevazione simmetria rotazionale (soglia 0.75 NCC su magnitude)

Benchmark clip.png (13 istanze, 72 varianti angolari):
  prima: 5.84s, precisione 5° (step training)
  ora:   1.67s, precisione ~0.5°, subpixel posizione
  speed-up: 3.5x, precisione angolare 10x

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
 2026-04-24 01:22:56 +02:00
Adriano b9a4d51fac feat: PM2D standalone shape-based matcher 
Programma standalone Pattern Matching 2D con GUI cv2/tk + algoritmo
puro riusabile. Due backend:

- LineShapeMatcher (default): porting Python di line2Dup (linemod-style)
  - Gradient orientation quantized 8-bin modulo π + spreading
  - Feature sparse top-magnitude con spacing minimo
  - Score via shift-add vettorizzato numpy (O(N_features·H·W))
  - Piramide multi-risoluzione con pruning varianti al top-level
  - Supporto mask binaria per modello non-rettangolare

- EdgeShapeMatcher (fallback): Canny + matchTemplate multi-rotazione

GUI separata da algoritmo. Benchmark clip.png (13 istanze):
  - Edge backend:  84s, 6/13 score ~0.3
  - Line backend:  4.1s, 13/13 score 0.98-1.00

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
 2026-04-24 00:46:59 +02:00