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feat: upgrade PP-StructureV3 models to latest versions

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- Layout: PP-DocLayout-S → PP-DocLayout_plus-L (83.2% mAP)
- Table: Single model → Dual SLANeXt (wired/wireless)
- Formula: PP-FormulaNet_plus-L for enhanced recognition
- Add preprocessing flags support (orientation, unwarping)
- Update frontend i18n descriptions

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
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egg
2025-11-27 14:21:24 +08:00
parent 59206a6ab8
commit 6235280c45
9 changed files with 504 additions and 25 deletions
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8
backend/app/schemas/task.py
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@@ -28,11 +28,11 @@ class LayoutModelEnum(str, Enum):
"""Layout detection model selection for OCR track.
Different models are optimized for different document types:
- CHINESE: PP-DocLayout-S, optimized for Chinese documents (forms, contracts, invoices)
- DEFAULT: PubLayNet-based, optimized for English academic papers
- CDLA: CDLA model, specialized Chinese document layout analysis
- CHINESE: PP-DocLayout_plus-L (83.2% mAP), optimized for complex Chinese documents
- DEFAULT: PubLayNet-based (~94% mAP), optimized for English academic papers
- CDLA: CDLA model (~86% mAP), specialized Chinese document layout analysis
"""
CHINESE = "chinese" # PP-DocLayout-S - Best for Chinese documents (recommended)
CHINESE = "chinese" # PP-DocLayout_plus-L - Best for Chinese documents (recommended)
DEFAULT = "default" # PubLayNet-based - Best for English documents
CDLA = "cdla" # CDLA model - Alternative for Chinese layout