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fix: timeout VLM 15→60s + OCR zone élargie autour de l'ancre
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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 14:05:38 +02:00
parent 3e227d28ad
commit cebbf0809a
1 changed files with 12 additions and 2 deletions
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14
visual_workflow_builder/backend/api_v3/capture.py
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@@ -199,11 +199,21 @@ def select_anchor():
thumbnail.save(thumbnail_path, 'PNG') thumbnail.save(thumbnail_path, 'PNG')
# ── Analyse automatique du crop : OCR + VLM ──────────────────── # ── Analyse automatique du crop : OCR + VLM ────────────────────
# Zone élargie autour de l'ancre pour capturer le texte à côté
margin = 50
expanded = img.crop((
max(0, x - margin),
max(0, y - margin),
min(img.width, x + w + margin * 3),
min(img.height, y + h + margin)
))
target_text = "" target_text = ""
ocr_description = "" ocr_description = ""
try: try:
from services.ocr_service import ocr_extract_text from services.ocr_service import ocr_extract_text
target_text = ocr_extract_text(thumbnail).strip() target_text = ocr_extract_text(expanded).strip()
if not target_text:
target_text = ocr_extract_text(thumbnail).strip()
print(f"🔍 [OCR] Texte extrait de l'ancre: '{target_text}'") print(f"🔍 [OCR] Texte extrait de l'ancre: '{target_text}'")
# Si le texte OCR est trop court ou vide, décrire via VLM # Si le texte OCR est trop court ou vide, décrire via VLM
@@ -226,7 +236,7 @@ def select_anchor():
"stream": False, "stream": False,
"options": {"temperature": 0.1, "num_predict": 15} "options": {"temperature": 0.1, "num_predict": 15}
}, },
timeout=15 timeout=60
) )
if resp.status_code == 200: if resp.status_code == 200:
ocr_description = resp.json().get("response", "").strip() ocr_description = resp.json().get("response", "").strip()