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Proposal B: Adaptive padding, crop upscaling, PSM selection, row-strip re-OCR for narrow columns (<15% width) – expected accuracy boost 60-70% → 85-90%. Proposal A: New text-line straightness detector (Method D), quality gate (rejects counterproductive corrections), 2-pass projection refinement, higher confidence thresholds – expected manual dewarp reduction to <10%. Proposal C: Fabric.js canvas editor with drag/drop, inline editing, undo/redo, opacity slider, zoom, PDF/DOCX export endpoints. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
54 lines
1.2 KiB
Plaintext
54 lines
1.2 KiB
Plaintext
fastapi>=0.109.0
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uvicorn[standard]>=0.27.0
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python-multipart>=0.0.6
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pyjwt>=2.8.0
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httpx>=0.26.0
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python-dotenv>=1.0.0
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# BYOEH Dependencies
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qdrant-client>=1.7.0
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cryptography>=41.0.0
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PyPDF2>=3.0.0
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PyMuPDF>=1.24.0
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# PyTorch CPU-only (smaller, no CUDA needed for Docker on Mac)
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--extra-index-url https://download.pytorch.org/whl/cpu
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torch>=2.0.0
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# Local Embeddings (no API key needed)
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sentence-transformers>=2.2.0
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# MinIO Object Storage
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minio>=7.2.0
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# OpenCV for handwriting detection (headless = no GUI, smaller for CI)
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opencv-python-headless>=4.8.0
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# Tesseract OCR Python binding (requires system tesseract-ocr package)
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pytesseract>=0.3.10
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Pillow>=10.0.0
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# RapidOCR (PaddleOCR models on ONNX Runtime — works on ARM64 natively)
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rapidocr
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onnxruntime
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# IPA pronunciation dictionary lookup (MIT license, bundled CMU dict ~134k words)
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eng-to-ipa
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# Spell-checker for rule-based OCR correction (MIT license)
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pyspellchecker>=0.8.1
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# PostgreSQL (for metrics storage)
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psycopg2-binary>=2.9.0
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asyncpg>=0.29.0
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# Email validation for Pydantic
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email-validator>=2.0.0
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# DOCX export for reconstruction editor (MIT license)
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python-docx>=1.1.0
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# Testing
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pytest>=8.0.0
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pytest-asyncio>=0.23.0
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