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- Neue Datei cv_box_detect.py: 2-Stufen-Algorithmus (Linien + Farbe) - DetectedBox/PageZone Dataclasses in cv_vocab_types.py - detect_column_geometry_zoned() in cv_layout.py - API-Endpoints erweitert: zones/boxes_detected im column_result - Overlay-Funktionen zeichnen Box-Grenzen als gestrichelte Rechtecke - Fix: numpy array or-Verknuepfung an 7 Stellen in ocr_pipeline_api.py - 12 Unit-Tests fuer Box-Erkennung und Zone-Splitting Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
37 lines
1.4 KiB
Python
37 lines
1.4 KiB
Python
"""
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CV-based Document Reconstruction Pipeline for Vocabulary Extraction.
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Re-export facade — all logic lives in the sub-modules:
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cv_vocab_types Dataklassen, Konstanten, IPA, Feature-Flags
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cv_preprocessing Bild-I/O, Orientierung, Deskew, Dewarp
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cv_layout Dokumenttyp, Spalten, Zeilen, Klassifikation
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cv_ocr_engines OCR-Engines, Vocab-Postprocessing, Text-Cleaning
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cv_cell_grid Cell-Grid (v2 + Legacy), Vocab-Konvertierung
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cv_review LLM/Spell Review, Pipeline-Orchestrierung
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Lizenz: Apache 2.0 (kommerziell nutzbar)
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DATENSCHUTZ: Alle Verarbeitung erfolgt lokal.
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"""
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from cv_vocab_types import * # noqa: F401,F403
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from cv_preprocessing import * # noqa: F401,F403
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from cv_layout import * # noqa: F401,F403
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from cv_ocr_engines import * # noqa: F401,F403
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from cv_cell_grid import * # noqa: F401,F403
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from cv_box_detect import * # noqa: F401,F403
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from cv_review import * # noqa: F401,F403
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# Private names used by consumers — not covered by wildcard re-exports.
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from cv_preprocessing import _apply_shear # noqa: F401
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from cv_layout import ( # noqa: F401
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_detect_header_footer_gaps,
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_detect_sub_columns,
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_split_broad_columns,
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)
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from cv_ocr_engines import ( # noqa: F401
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_fix_character_confusion,
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_fix_phonetic_brackets,
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)
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from cv_cell_grid import _cells_to_vocab_entries # noqa: F401
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