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Implement VIN-specific OCR extraction with optimized preprocessing: - Add POST /extract/vin endpoint for VIN extraction - VIN preprocessor: CLAHE, deskew, denoise, adaptive threshold - VIN validator: check digit validation, OCR error correction (I->1, O->0) - VIN extractor: PSM modes 6/7/8, character whitelist, alternatives - Response includes confidence, bounding box, and alternatives - Unit tests for validator and preprocessor - Integration tests for VIN extraction endpoint Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
25 lines
443 B
Python
25 lines
443 B
Python
"""Pydantic models for OCR service."""
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from .schemas import (
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BoundingBox,
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DocumentType,
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ExtractedField,
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JobResponse,
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JobStatus,
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JobSubmitRequest,
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OcrResponse,
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VinAlternative,
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VinExtractionResponse,
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)
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__all__ = [
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"BoundingBox",
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"DocumentType",
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"ExtractedField",
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"JobResponse",
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"JobStatus",
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"JobSubmitRequest",
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"OcrResponse",
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"VinAlternative",
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"VinExtractionResponse",
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]
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