Benjamin Admin
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2e0f8632f8
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feat(klausur): Handschrift entfernen + Klausur-HTR implementiert
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Feature 1: Handschrift entfernen via OCR-Pipeline Session
- services/handwriting_detection.py: _detect_pencil() + target_ink Parameter
("all" | "colored" | "pencil") für gezielte Tinten-Erkennung
- ocr_pipeline_session_store.py: clean_png + handwriting_removal_meta Spalten
(idempotentes ALTER TABLE in init_ocr_pipeline_tables)
- ocr_pipeline_api.py: POST /sessions/{id}/remove-handwriting Endpoint
+ "clean" zu valid_types für Image-Serving hinzugefügt
Feature 2: Klausur-HTR (Hochwertige Handschriftenerkennung)
- handwriting_htr_api.py: Neuer Router /api/v1/htr/recognize + /recognize-session
Primary: qwen2.5vl:32b via Ollama, Fallback: trocr-large-handwritten
- services/trocr_service.py: size Parameter (base | large) für get_trocr_model()
+ run_trocr_ocr() - unterstützt jetzt trocr-large-handwritten
- main.py: HTR Router registriert
Config:
- docker-compose.yml: OLLAMA_HTR_MODEL, HTR_FALLBACK_MODEL
- .env.example: HTR Env-Vars dokumentiert
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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2026-03-03 12:04:26 +01:00 |
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Benjamin Boenisch
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5a31f52310
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Initial commit: breakpilot-lehrer - Lehrer KI Platform
Services: Admin-Lehrer, Backend-Lehrer, Studio v2, Website,
Klausur-Service, School-Service, Voice-Service, Geo-Service,
BreakPilot Drive, Agent-Core
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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2026-02-11 23:47:26 +01:00 |
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