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fix: pénaliser matchs OCR partiels trop courts (demo dans CR_patient_demo)
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Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
This commit is contained in:
Dom
2026-04-21 16:49:22 +02:00
parent 6ab385d671
commit 0b452f975a
1 changed files with 4 additions and 1 deletions
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5
core/execution/input_handler.py
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@@ -484,7 +484,10 @@ def _grounding_ocr(target_text: str, anchor_bbox: Optional[Dict] = None) -> Opti
all_matches.append({'text': word['text'], 'x': cx, 'y': cy, 'type': 'exact', 'conf': 0.95}) all_matches.append({'text': word['text'], 'x': cx, 'y': cy, 'type': 'exact', 'conf': 0.95})
elif len(word_lower) >= 3 and len(target_lower) >= 3: elif len(word_lower) >= 3 and len(target_lower) >= 3:
if target_lower in word_lower or word_lower in target_lower: if target_lower in word_lower or word_lower in target_lower:
all_matches.append({'text': word['text'], 'x': cx, 'y': cy, 'type': 'partial', 'conf': 0.80}) # Pénaliser les matchs partiels trop courts par rapport au target
ratio = len(word_lower) / max(len(target_lower), 1)
conf = 0.80 if ratio > 0.5 else 0.50
all_matches.append({'text': word['text'], 'x': cx, 'y': cy, 'type': 'partial', 'conf': conf})
# Matching lettre initiale manquante # Matching lettre initiale manquante
if not all_matches and len(target_lower) > 3: if not all_matches and len(target_lower) > 3: