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breakpilot-lehrer/klausur-service/backend/ocr/pipeline.py
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Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-25 20:49:44 +02:00

38 lines
1.4 KiB
Python

"""
CV-based Document Reconstruction Pipeline for Vocabulary Extraction.
Re-export facade — all logic lives in the sub-modules:
cv_vocab_types Dataklassen, Konstanten, IPA, Feature-Flags
cv_preprocessing Bild-I/O, Orientierung, Deskew, Dewarp
cv_layout Dokumenttyp, Spalten, Zeilen, Klassifikation
cv_ocr_engines OCR-Engines, Vocab-Postprocessing, Text-Cleaning
cv_cell_grid Cell-Grid (v2 + Legacy), Vocab-Konvertierung
cv_review LLM/Spell Review, Pipeline-Orchestrierung
Lizenz: Apache 2.0 (kommerziell nutzbar)
DATENSCHUTZ: Alle Verarbeitung erfolgt lokal.
"""
from cv_vocab_types import * # noqa: F401,F403
from cv_preprocessing import * # noqa: F401,F403
from cv_layout import * # noqa: F401,F403
from cv_ocr_engines import * # noqa: F401,F403
from cv_cell_grid import * # noqa: F401,F403
from cv_box_detect import * # noqa: F401,F403
from cv_review import * # noqa: F401,F403
# Private names used by consumers — not covered by wildcard re-exports.
from cv_preprocessing import _apply_shear # noqa: F401
from cv_layout import ( # noqa: F401
_detect_header_footer_gaps,
_detect_sub_columns,
_split_broad_columns,
)
from cv_ocr_engines import ( # noqa: F401
_fix_character_confusion,
_fix_phonetic_brackets,
)
from cv_cell_grid import _cells_to_vocab_entries # noqa: F401
from cv_words_first import build_grid_from_words # noqa: F401