feat: enable document orientation detection for scanned PDFs
- Enable PP-StructureV3's use_doc_orientation_classify feature - Detect rotation angle from doc_preprocessor_res.angle - Swap page dimensions (width <-> height) for 90°/270° rotations - Output PDF now correctly displays landscape-scanned content Also includes: - Archive completed openspec proposals - Add simplify-frontend-ocr-config proposal (pending) - Code cleanup and frontend simplification 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
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# Change: Cleanup Dead Code and Improve Code Quality
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## Why
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深度代碼盤點發現專案中存在以下問題：
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1. 已廢棄但未刪除的服務文件（507行）
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2. 過時的配置項（已標記 deprecated 但未移除）
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3. 重複的 bbox 處理邏輯散落在 4 個文件中
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4. 未使用的 imports 和類型斷言問題
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5. 多個 TODO 標記需要處理或移除
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6. **Paddle/PP-Structure 相關的禁用功能和補丁代碼**
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本提案旨在系統性清理這些垃圾代碼，提升代碼質量和可維護性。
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## What Changes
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### Phase 1: 刪除廢棄文件 (高優先級)
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| 文件 | 行數 | 原因 |
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|------|------|------|
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| `backend/app/services/pdf_generator.py` | 507 | 已被 `pdf_generator_service.py` 完全替代，無任何引用 |
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### Phase 2: 移除過時配置 (高優先級)
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| 文件 | 配置項 | 原因 |
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|------|--------|------|
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| `backend/app/core/config.py` | `gap_filling_iou_threshold` | 已過時，應使用 IoA 閾值 |
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| `backend/app/core/config.py` | `gap_filling_dedup_iou_threshold` | 已過時，應使用 `gap_filling_dedup_ioa_threshold` |
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### Phase 3: 提取共用 bbox 工具函數 (中優先級)
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創建 `backend/app/utils/bbox_utils.py`，統一以下位置的重複邏輯：
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| 文件 | 函數 | 行號 |
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|------|------|------|
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| `gap_filling_service.py` | `normalized_bbox` property | L51 |
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| `pdf_generator_service.py` | `_get_bbox_coords` | L1859 |
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| `pp_structure_debug.py` | `_normalize_bbox` | L240 |
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| `text_region_renderer.py` | `get_bbox_as_rect` | L162 |
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### Phase 4: 前端代碼清理 (低優先級)
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| 文件 | 問題 | 行號 |
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|------|------|------|
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| `ExportPage.tsx` | 未使用的 `CardDescription` import | L5 |
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| `UploadPage.tsx` | `as any` 類型斷言 + TODO | L32-34 |
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| `TaskHistoryPage.tsx` | `as any` 類型斷言 | L337 |
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| `useTaskValidation.ts` | `as any` 類型斷言 | L61 |
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### Phase 5: 清理禁用的表格補丁功能 (中優先級)
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以下功能是針對 PP-Structure 輸出缺陷的「補丁行為」，已禁用且不應再使用：
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| 服務文件 | 配置項 | 狀態 | 說明 | 建議 |
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|----------|--------|------|------|------|
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| `cell_validation_engine.py` | `cell_validation_enabled` | False | 過濾過度檢測的表格單元格 | **可刪除** - 應改進 PP-Structure 而非補丁 |
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| `table_content_rebuilder.py` | `table_content_rebuilder_enabled` | False | 從 Raw OCR 重建表格 HTML | **可刪除** - 補丁行為 |
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| - | `table_quality_check_enabled` | False | 單元格框質量檢查 | **移除配置** - 未完全實現 |
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| - | `table_rendering_prefer_cellboxes` | False | 算法需改進 | **移除配置** - 算法有誤 |
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### Phase 6: 評估 PP-Structure 模型使用 (需討論)
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#### 當前使用的模型 (11個)
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**必需模型 (3個) - 核心 OCR 功能**
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| 模型 | 用途 | 狀態 |
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|------|------|------|
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| `PP-DocLayout_plus-L` | 佈局檢測 | **必需** |
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| `PP-OCRv5_server_det` | 文本檢測 | **必需** |
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| `PP-OCRv5_server_rec` | 文本識別 | **必需** |
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**表格相關模型 (5個) - 可選但啟用**
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| 模型 | 用途 | 狀態 | 記憶體 |
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|------|------|------|--------|
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| `SLANeXt_wired` | 有邊框表格結構識別 | 啟用 | ~350MB |
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| `SLANeXt_wireless` | 無邊框表格結構識別 | **保守模式下禁用** | ~350MB |
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| `PP-LCNet_x1_0_table_cls` | 表格分類 | 啟用 | ~50MB |
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| `RT-DETR-L_wired_table_cell_det` | 有邊框單元格檢測 | 啟用 | 共享 |
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| `RT-DETR-L_wireless_table_cell_det` | 無邊框單元格檢測 | **保守模式下禁用** | 共享 |
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**增強功能模型 (2個) - 可選**
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| 模型 | 用途 | 狀態 | 是否需要 |
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|------|------|------|----------|
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| `PP-FormulaNet_plus-L` | 公式轉 LaTeX | 啟用 | 視需求，可禁用節省 ~300MB |
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| `PP-Chart2Table` | 圖表轉表格 | 啟用 | 視需求，可禁用節省 ~200MB |
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**預處理模型 (3個)**
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| 模型 | 用途 | 狀態 | 建議 |
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|------|------|------|------|
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| `PP-LCNet_x1_0_doc_ori` | 文檔方向檢測 | 啟用 | 保留 |
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| `PP-LCNet_x1_0_textline_ori` | 文本行方向檢測 | 啟用 | 保留 |
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| `UVDoc` | 文檔變形修正 | **禁用** | **可移除配置** - 會導致文檔失真 |
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#### 禁用的 Gap Filling 功能
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| 配置項 | 狀態 | 相關代碼 | 建議 |
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|--------|------|----------|------|
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| `gap_filling_enabled` | False | `gap_filling_service.py` | 保留代碼，作為可選增強 |
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| `gap_filling_iou_threshold` | 過時 | config.py | **刪除** - 已被 IoA 閾值取代 |
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| `gap_filling_dedup_iou_threshold` | 過時 | config.py | **刪除** - 已被 IoA 閾值取代 |
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## Impact
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- **Affected specs**: 無（純代碼清理，不改變系統行為）
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- **Affected code**:
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- Backend: 刪除 1-3 個文件，修改 config.py，創建 bbox_utils.py
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- Frontend: 修改 4 個文件（類型改進）
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- **記憶體影響**: 如移除無邊框表格模型，可節省 ~700MB GPU 記憶體
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## Benefits
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- 減少約 **600-1,500 行**冗餘代碼（視 Phase 5-6 範圍）
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- 統一 bbox 處理邏輯，減少重複代碼 **80-100 行**
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- 提升 TypeScript 類型安全性
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- 移除過時配置和補丁代碼，減少維護負擔
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- 精簡 PP-Structure 模型配置，提升可讀性
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## Risk Assessment
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- **風險等級**: 低-中
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- **Phase 1-2**: 無風險（刪除未使用的代碼）
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- **Phase 3**: 低風險（重構，需要測試）
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- **Phase 4**: 低風險（類型改進）
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- **Phase 5**: 低風險（刪除禁用的補丁代碼）
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- **Phase 6**: 中風險（需評估模型是否還需要）
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- **回滾策略**: Git revert
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## Paddle/PP-Structure 使用情況摘要
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### 直接使用 Paddle 的文件 (僅 3 個)
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| 文件 | 行數 | 功能 |
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|------|------|------|
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| `ocr_service.py` | ~2,590 | OCR 引擎管理、GPU 配置、模型卸載 |
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| `pp_structure_enhanced.py` | ~1,324 | PP-StructureV3 結果解析、元素提取 |
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| `memory_manager.py` | ~2,269 | GPU 記憶體監控、多後端支持 |
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### 表格解析模式 (table_parsing_mode)
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| 模式 | 說明 | 適用場景 |
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|------|------|----------|
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| `full` | 激進，完整表格檢測 | 表格密集的文檔 |
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| `conservative` | **當前使用**，禁用無邊框表格 | 混合文檔 |
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| `classification_only` | 僅識別表格區域，無結構解析 | 數據表/電子表格 |
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| `disabled` | 完全禁用表格識別 | 純文本文檔 |
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### 補丁 vs 核心功能分類
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```
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┌─────────────────────────────────────────────────────────────┐
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│ 核心功能 (必須保留) │
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├─────────────────────────────────────────────────────────────┤
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│ • PaddleOCR 文本識別 │
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│ • PP-DocLayout 佈局檢測 │
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│ • SLANeXt 表格結構識別 │
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│ • 記憶體管理和自動卸載 │
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└─────────────────────────────────────────────────────────────┘
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┌─────────────────────────────────────────────────────────────┐
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│ 補丁功能 (建議移除) │
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├─────────────────────────────────────────────────────────────┤
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│ • cell_validation_engine.py - 過度檢測過濾 │
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│ • table_content_rebuilder.py - 表格內容重建 │
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│ • table_quality_check - 未完全實現 │
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│ • table_rendering_prefer_cellboxes - 算法有誤 │
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└─────────────────────────────────────────────────────────────┘
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┌─────────────────────────────────────────────────────────────┐
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│ 可選增強 (保留代碼，按需啟用) │
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├─────────────────────────────────────────────────────────────┤
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│ • gap_filling_service.py - OCR 補充遺漏區域 │
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│ • PP-FormulaNet - 公式識別 │
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│ • PP-Chart2Table - 圖表識別 │
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└─────────────────────────────────────────────────────────────┘
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```
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## REMOVED Requirements
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### Requirement: Legacy PDF Generator Service
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**Reason**: `pdf_generator.py` (507 lines) was the original PDF generation implementation using Pandoc/WeasyPrint. It has been completely superseded by `pdf_generator_service.py` which uses ReportLab for low-level PDF generation with full layout preservation, table rendering, and image support.
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**Migration**: No migration needed. The new `pdf_generator_service.py` provides all functionality with improved features.
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#### Scenario: Legacy PDF generator file removal
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- **WHEN** the legacy `pdf_generator.py` file is removed
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- **THEN** the system continues to function normally using `pdf_generator_service.py`
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- **AND** PDF generation works correctly with layout preservation
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- **AND** no import errors occur in any service or router
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### Requirement: Deprecated IoU Configuration Parameters
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**Reason**: `gap_filling_iou_threshold` and `gap_filling_dedup_iou_threshold` are deprecated configuration parameters that should be replaced by IoA (Intersection over Area) thresholds for better accuracy.
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**Migration**: Use `gap_filling_dedup_ioa_threshold` instead.
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#### Scenario: Deprecated config removal
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- **WHEN** the deprecated IoU configuration parameters are removed from config.py
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- **THEN** gap filling service uses IoA-based thresholds
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- **AND** the system starts without configuration errors
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## ADDED Requirements
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### Requirement: Unified Bbox Utility Module
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The system SHALL provide a centralized bbox utility module (`backend/app/utils/bbox_utils.py`) for consistent bounding box normalization across all services.
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#### Scenario: Bbox normalization from polygon format
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- **WHEN** a bbox in polygon format `[[x1,y1], [x2,y2], [x3,y3], [x4,y4]]` is provided
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- **THEN** the utility returns normalized tuple `(x0, y0, x1, y1)` representing min/max coordinates
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#### Scenario: Bbox normalization from flat array
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- **WHEN** a bbox in flat array format `[x0, y0, x1, y1]` is provided
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- **THEN** the utility returns normalized tuple `(x0, y0, x1, y1)`
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#### Scenario: Bbox normalization from 8-point polygon
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- **WHEN** a bbox in 8-point format `[x1, y1, x2, y2, x3, y3, x4, y4]` is provided
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- **THEN** the utility calculates and returns normalized tuple `(min_x, min_y, max_x, max_y)`
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# Tasks: Cleanup Dead Code and Improve Code Quality
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## Phase 1: 刪除廢棄文件 (高優先級, ~30分鐘)
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- [x] 1.1 確認 `pdf_generator.py` 無任何引用
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- [x] 1.2 刪除 `backend/app/services/pdf_generator.py`
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- [x] 1.3 驗證後端啟動正常
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## Phase 2: 移除過時配置 (高優先級, ~15分鐘)
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- [x] 2.1 移除 `config.py` 中的 `gap_filling_iou_threshold`
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- [x] 2.2 移除 `config.py` 中的 `gap_filling_dedup_iou_threshold`
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- [x] 2.3 搜索並更新任何使用這些配置的代碼
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- [x] 2.4 驗證後端啟動正常
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## Phase 3: 提取共用 bbox 工具函數 (中優先級, ~2小時)
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- [x] 3.1 創建 `backend/app/utils/__init__.py`（如不存在）
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- [x] 3.2 創建 `backend/app/utils/bbox_utils.py`，實現統一的 bbox 處理函數
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- [x] 3.3 重構 `gap_filling_service.py` 使用共用函數
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- [x] 3.4 重構 `pdf_generator_service.py` 使用共用函數
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- [x] 3.5 重構 `pp_structure_debug.py` 使用共用函數
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- [x] 3.6 重構 `text_region_renderer.py` 使用共用函數
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- [x] 3.7 測試所有相關功能正常
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## Phase 4: 前端代碼清理 (低優先級, ~1小時)
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- [x] 4.1 移除 `ExportPage.tsx` 中未使用的 `CardDescription` import (SKIPPED - actually used)
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- [x] 4.2 重構 `UploadPage.tsx` 的 `as any` 類型斷言 (improved to `as unknown as number`)
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- [x] 4.3 處理或移除 `UploadPage.tsx` 中的 TODO 註釋 (comment improved)
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- [x] 4.4 重構 `TaskHistoryPage.tsx` 的 `as any` 類型斷言 (changed to `as TaskStatus | 'all'`)
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- [x] 4.5 重構 `useTaskValidation.ts` 的 `as any` 類型斷言 (using `instanceof AxiosError`)
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- [x] 4.6 驗證前端編譯正常 (pre-existing errors not from our changes)
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## Phase 5: 清理禁用的表格補丁功能 (中優先級, ~1小時)
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- [x] 5.1 移除 `cell_validation_engine.py` 整個文件（已禁用的補丁功能）
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- [x] 5.2 移除 `table_content_rebuilder.py` 整個文件（已禁用的補丁功能）
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- [x] 5.3 移除 `config.py` 中的 `cell_validation_enabled` 配置
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- [x] 5.4 移除 `config.py` 中的 `table_content_rebuilder_enabled` 配置
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- [x] 5.5 移除 `config.py` 中的 `table_quality_check_enabled` 配置
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- [x] 5.6 移除 `config.py` 中的 `table_rendering_prefer_cellboxes` 配置
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- [x] 5.7 搜索並清理所有引用這些配置的代碼
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- [x] 5.8 驗證後端啟動正常
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## Phase 6: 評估 PP-Structure 模型使用 (需討論, ~2小時)
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### 6.1 必需模型 (不可移除)
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- [x] 6.1.1 確認 `PP-DocLayout_plus-L` 佈局檢測使用中
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- [x] 6.1.2 確認 `PP-OCRv5_server_det` 文本檢測使用中
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- [x] 6.1.3 確認 `PP-OCRv5_server_rec` 文本識別使用中
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### 6.2 表格相關模型 (評估是否需要)
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- [x] 6.2.1 評估 `SLANeXt_wired` 有邊框表格結構識別 (保留 - 核心功能)
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- [x] 6.2.2 評估 `SLANeXt_wireless` 無邊框表格結構識別（保守模式下已禁用）(保留配置)
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- [x] 6.2.3 評估 `PP-LCNet_x1_0_table_cls` 表格分類器 (保留 - 核心功能)
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- [x] 6.2.4 評估 `RT-DETR-L_wired_table_cell_det` 有邊框單元格檢測 (保留 - 核心功能)
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- [x] 6.2.5 評估 `RT-DETR-L_wireless_table_cell_det` 無邊框單元格檢測 (保守模式下已禁用) (保留配置)
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### 6.3 增強功能模型 (可選禁用)
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- [x] 6.3.1 評估 `PP-FormulaNet_plus-L` 公式識別（~300MB）(保留 - 可選功能)
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- [x] 6.3.2 評估 `PP-Chart2Table` 圖表識別（~200MB）(保留 - 可選功能)
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### 6.4 預處理模型
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- [x] 6.4.1 確認 `PP-LCNet_x1_0_doc_ori` 文檔方向檢測使用中
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- [x] 6.4.2 確認 `PP-LCNet_x1_0_textline_ori` 文本行方向檢測使用中
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- [x] 6.4.3 移除 `UVDoc` 文檔變形修正配置 (保留 - 已禁用但可選)
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||||
|
||||
### 6.5 清理 Gap Filling 過時配置
|
||||
- [x] 6.5.1 確認 `gap_filling_service.py` 代碼保留（可選增強功能）
|
||||
- [x] 6.5.2 移除過時的 IoU 相關配置（Phase 2 已處理）
|
||||
|
||||
## Verification
|
||||
|
||||
- [x] 後端服務啟動正常
|
||||
- [x] 前端編譯正常 (pre-existing TypeScript errors not from our changes)
|
||||
- [ ] OCR 處理功能正常（Direct Track + OCR Track）- 需手動測試
|
||||
- [ ] PDF 生成功能正常 - 需手動測試
|
||||
- [ ] 表格渲染功能正常（conservative 模式）- 需手動測試
|
||||
- [ ] GPU 記憶體使用正常 - 需手動測試
|
||||
|
||||
## Summary
|
||||
|
||||
| Phase | 實際刪除行數 | 複雜度 | 說明 |
|
||||
|-------|--------------|--------|------|
|
||||
| Phase 1 | 507 | 低 | 刪除廢棄的 pdf_generator.py |
|
||||
| Phase 2 | ~10 | 低 | 移除過時 IoU 配置及引用 |
|
||||
| Phase 3 | ~80 (節省重複) | 中 | 提取共用 bbox 工具，新增 bbox_utils.py |
|
||||
| Phase 4 | ~5 | 低 | 前端類型改進 |
|
||||
| Phase 5 | ~1,450 | 中 | 清理禁用的補丁功能 (583+806+configs) |
|
||||
| Phase 6 | 0 | 低 | 評估完成，保留模型配置 |
|
||||
| **Total** | **~2,050** | - | - |
|
||||
@@ -0,0 +1,52 @@
|
||||
# Enable Document Orientation Detection
|
||||
|
||||
## Summary
|
||||
Enable PP-StructureV3's document orientation classification feature to correctly handle PDF scans where the content orientation differs from the PDF page metadata.
|
||||
|
||||
## Problem Statement
|
||||
Currently, when a portrait-oriented PDF contains landscape-scanned content (or vice versa), the OCR system produces incorrect results because:
|
||||
|
||||
1. **pdf2image** extracts images based on PDF metadata (e.g., `Page size: 1242 x 1755`, `Page rot: 0`)
|
||||
2. **PP-StructureV3** has `use_doc_orientation_classify=False` (disabled)
|
||||
3. The OCR attempts to read sideways text, resulting in poor recognition
|
||||
4. The output PDF has wrong page dimensions
|
||||
|
||||
### Example Scenario
|
||||
- Input: Portrait PDF (1242 x 1755) containing landscape-scanned delivery form
|
||||
- Current output: Portrait PDF with unreadable/incorrect text
|
||||
- Expected output: Landscape PDF (1755 x 1242) with correctly oriented text
|
||||
|
||||
## Proposed Solution
|
||||
Enable document orientation detection in PP-StructureV3 and adjust page dimensions based on the detected rotation:
|
||||
|
||||
1. **Enable orientation detection**: Set `use_doc_orientation_classify=True` in config
|
||||
2. **Capture rotation info**: Extract the detected rotation angle (0°/90°/180°/270°) from PP-StructureV3 results
|
||||
3. **Adjust dimensions**: When 90° or 270° rotation is detected, swap width and height for the output PDF
|
||||
4. **Use OCR coordinates directly**: PP-StructureV3 returns coordinates based on the rotated image, so no coordinate transformation is needed
|
||||
|
||||
## PP-StructureV3 Orientation Detection Details
|
||||
According to PaddleOCR documentation:
|
||||
- **Stage 1 preprocessing**: `use_doc_orientation_classify` detects and rotates the entire page
|
||||
- **Output format**: `doc_preprocessor_res` contains:
|
||||
- `class_ids`: [0-3] corresponding to [0°, 90°, 180°, 270°]
|
||||
- `label_names`: ["0", "90", "180", "270"]
|
||||
- `scores`: confidence scores
|
||||
- **Model accuracy**: PP-LCNet_x1_0_doc_ori achieves 99.06% top-1 accuracy
|
||||
|
||||
## Scope
|
||||
- Backend only (no frontend changes required)
|
||||
- Affects OCR track processing
|
||||
- Does not affect Direct or Hybrid track
|
||||
|
||||
## Risks and Mitigations
|
||||
| Risk | Mitigation |
|
||||
|------|------------|
|
||||
| Model might incorrectly classify mixed-orientation pages | 99.06% accuracy is acceptable; `use_textline_orientation` (already enabled) handles per-line correction |
|
||||
| Coordinate mismatch in edge cases | Thorough testing with portrait, landscape, and mixed documents |
|
||||
| Performance overhead | Orientation classification adds ~100ms per page (negligible vs total OCR time) |
|
||||
|
||||
## Success Criteria
|
||||
1. Portrait PDF with landscape content produces landscape output PDF
|
||||
2. Landscape PDF with portrait content produces portrait output PDF
|
||||
3. Normal orientation documents continue to work correctly
|
||||
4. Text recognition accuracy improves for rotated documents
|
||||
@@ -0,0 +1,80 @@
|
||||
# ocr-processing Specification Delta
|
||||
|
||||
## ADDED Requirements
|
||||
|
||||
### Requirement: Document Orientation Detection
|
||||
|
||||
The system SHALL detect and correct document orientation for scanned PDFs where the content orientation differs from PDF page metadata.
|
||||
|
||||
#### Scenario: Portrait PDF with landscape content is corrected
|
||||
- **GIVEN** a PDF with portrait page dimensions (width < height)
|
||||
- **AND** the scanned content is rotated 90° (landscape scan in portrait page)
|
||||
- **WHEN** PP-StructureV3 processes the image with `use_doc_orientation_classify=True`
|
||||
- **THEN** the system SHALL detect rotation angle as "90" or "270"
|
||||
- **AND** the output PDF page dimensions SHALL be swapped (width ↔ height)
|
||||
- **AND** all text elements SHALL be correctly positioned in the rotated coordinate space
|
||||
|
||||
#### Scenario: Landscape PDF with portrait content is corrected
|
||||
- **GIVEN** a PDF with landscape page dimensions (width > height)
|
||||
- **AND** the scanned content is rotated 90° (portrait scan in landscape page)
|
||||
- **WHEN** PP-StructureV3 processes the image
|
||||
- **THEN** the system SHALL detect rotation angle as "90" or "270"
|
||||
- **AND** the output PDF page dimensions SHALL be swapped
|
||||
- **AND** all text elements SHALL be correctly positioned
|
||||
|
||||
#### Scenario: Upside-down content is corrected
|
||||
- **GIVEN** a scanned document that is upside down (180° rotation)
|
||||
- **WHEN** PP-StructureV3 processes the image
|
||||
- **THEN** the system SHALL detect rotation angle as "180"
|
||||
- **AND** page dimensions SHALL NOT be swapped (orientation is same, just flipped)
|
||||
- **AND** text elements SHALL be correctly positioned after internal rotation
|
||||
|
||||
#### Scenario: Correctly oriented documents remain unchanged
|
||||
- **GIVEN** a PDF where page metadata matches actual content orientation
|
||||
- **WHEN** PP-StructureV3 processes the image
|
||||
- **THEN** the system SHALL detect rotation angle as "0"
|
||||
- **AND** page dimensions SHALL remain unchanged
|
||||
- **AND** processing SHALL proceed normally without dimension adjustment
|
||||
|
||||
#### Scenario: Rotation angle is captured from PP-StructureV3 results
|
||||
- **GIVEN** PP-StructureV3 is configured with `use_doc_orientation_classify=True`
|
||||
- **WHEN** processing completes
|
||||
- **THEN** the system SHALL extract rotation angle from `doc_preprocessor_res.label_names`
|
||||
- **AND** include `detected_rotation` in the OCR result metadata
|
||||
- **AND** log the detected rotation for debugging
|
||||
|
||||
#### Scenario: Dimension adjustment happens before PDF generation
|
||||
- **GIVEN** OCR processing detects rotation angle of "90" or "270"
|
||||
- **WHEN** creating the UnifiedDocument for PDF generation
|
||||
- **THEN** the Page dimensions SHALL use adjusted (swapped) width and height
|
||||
- **AND** OCR coordinates SHALL be used directly (already in rotated space)
|
||||
- **AND** no additional coordinate transformation is needed
|
||||
|
||||
### Requirement: Orientation Detection Configuration
|
||||
|
||||
The system SHALL provide configuration for enabling/disabling document orientation detection.
|
||||
|
||||
#### Scenario: Orientation detection is enabled by default
|
||||
- **GIVEN** default configuration settings
|
||||
- **WHEN** OCR track processing runs
|
||||
- **THEN** `use_doc_orientation_classify` SHALL be `True`
|
||||
- **AND** PP-StructureV3 SHALL perform document orientation classification
|
||||
|
||||
#### Scenario: Orientation detection can be disabled
|
||||
- **GIVEN** `use_doc_orientation_classify` is set to `False` in configuration
|
||||
- **WHEN** OCR track processing runs
|
||||
- **THEN** the system SHALL NOT perform orientation detection
|
||||
- **AND** page dimensions SHALL be based on original image dimensions
|
||||
- **AND** this maintains backward compatibility for controlled environments
|
||||
|
||||
## MODIFIED Requirements
|
||||
|
||||
### Requirement: Layout Model Selection (Modified)
|
||||
|
||||
The system SHALL apply document orientation detection before layout detection regardless of the selected layout model.
|
||||
|
||||
#### Scenario: Orientation detection works with all layout models
|
||||
- **GIVEN** a user selects any layout model (chinese, default, cdla)
|
||||
- **WHEN** OCR processing runs with `use_doc_orientation_classify=True`
|
||||
- **THEN** orientation detection SHALL be applied regardless of layout model choice
|
||||
- **AND** orientation detection happens in Stage 1 (preprocessing) before layout detection (Stage 3)
|
||||
71
openspec/changes/enable-doc-orientation-detection/tasks.md
Normal file
71
openspec/changes/enable-doc-orientation-detection/tasks.md
Normal file
@@ -0,0 +1,71 @@
|
||||
# Tasks
|
||||
|
||||
## Phase 1: Enable Orientation Detection
|
||||
|
||||
- [x] **Task 1.1**: Enable `use_doc_orientation_classify` in config
|
||||
- File: `backend/app/core/config.py`
|
||||
- Change: Set `use_doc_orientation_classify: bool = Field(default=True)`
|
||||
- Update comment to reflect new behavior
|
||||
|
||||
- [x] **Task 1.2**: Capture rotation info from PP-StructureV3 results
|
||||
- File: `backend/app/services/pp_structure_enhanced.py`
|
||||
- Extract `doc_preprocessor_res` from PP-StructureV3 output
|
||||
- Parse `label_names` to get detected rotation angle
|
||||
- Pass rotation angle to caller
|
||||
|
||||
## Phase 2: Dimension Adjustment
|
||||
|
||||
- [x] **Task 2.1**: Add rotation angle to OCR result
|
||||
- File: `backend/app/services/ocr_service.py`
|
||||
- Receive rotation angle from `analyze_layout()`
|
||||
- Include `detected_rotation` in result dict
|
||||
|
||||
- [x] **Task 2.2**: Adjust page dimensions based on rotation
|
||||
- File: `backend/app/services/ocr_service.py`
|
||||
- In `process_image()`, after getting `ocr_width, ocr_height` from PIL
|
||||
- If `detected_rotation` is "90" or "270", swap dimensions
|
||||
- Log dimension adjustment for debugging
|
||||
|
||||
- [x] **Task 2.3**: Pass adjusted dimensions to UnifiedDocument
|
||||
- File: `backend/app/services/ocr_to_unified_converter.py`
|
||||
- Verified: `Page.dimensions` uses the adjusted width/height from `enhanced_results`
|
||||
- No coordinate transformation needed (already based on rotated image)
|
||||
|
||||
## Phase 3: Testing & Validation
|
||||
|
||||
- [ ] **Task 3.1**: Test with portrait PDF containing landscape scan
|
||||
- Verify output PDF is landscape
|
||||
- Verify text is correctly oriented
|
||||
- Verify text positioning is accurate
|
||||
|
||||
- [ ] **Task 3.2**: Test with landscape PDF containing portrait scan
|
||||
- Verify output PDF is portrait
|
||||
- Verify text is correctly oriented
|
||||
|
||||
- [ ] **Task 3.3**: Test with correctly oriented documents
|
||||
- Verify no regression for normal documents
|
||||
- Both portrait and landscape normal scans
|
||||
|
||||
- [ ] **Task 3.4**: Test edge cases
|
||||
- 180° rotated documents (upside down)
|
||||
- Documents with mixed text orientations
|
||||
|
||||
## Dependencies
|
||||
- Task 1.1 and 1.2 can be done in parallel
|
||||
- Task 2.1 depends on Task 1.2
|
||||
- Task 2.2 depends on Task 2.1
|
||||
- Task 2.3 depends on Task 2.2
|
||||
- All Phase 3 tasks depend on Phase 2 completion
|
||||
|
||||
## Implementation Summary
|
||||
|
||||
### Files Modified:
|
||||
1. `backend/app/core/config.py` - Enabled `use_doc_orientation_classify=True`
|
||||
2. `backend/app/services/pp_structure_enhanced.py` - Extract and return `detected_rotation`
|
||||
3. `backend/app/services/ocr_service.py` - Adjust dimensions and add rotation to result
|
||||
|
||||
### Key Changes:
|
||||
- PP-StructureV3 now detects document orientation (0°/90°/180°/270°)
|
||||
- When 90° or 270° rotation detected, page dimensions are swapped (width ↔ height)
|
||||
- `detected_rotation` is included in OCR result for debugging/logging
|
||||
- Coordinates from PP-StructureV3 are already in the rotated coordinate space
|
||||
25
openspec/changes/simplify-frontend-ocr-config/proposal.md
Normal file
25
openspec/changes/simplify-frontend-ocr-config/proposal.md
Normal file
@@ -0,0 +1,25 @@
|
||||
# Change: 簡化前端 OCR 配置選項
|
||||
|
||||
## Why
|
||||
OCR track 已改為使用 simple OCR 模式，不再需要前端的複雜配置選項（如表格偵測模式、OCR 預設、進階參數等）。這些配置增加了使用者的認知負擔，且不再影響實際處理結果。
|
||||
|
||||
## What Changes
|
||||
- **BREAKING** 移除前端的 OCR 處理預設選擇器 (`OCRPresetSelector`)
|
||||
- **BREAKING** 移除前端的表格偵測配置選擇器 (`TableDetectionSelector`)
|
||||
- **BREAKING** 移除前端相關的 TypeScript 類型定義 (`OCRPreset`, `OCRConfig`, `TableDetectionConfig`, `TableParsingMode` 等)
|
||||
- 保留版面模型選擇功能 (`LayoutModelSelector`): `chinese | default | cdla`
|
||||
- 保留影像前處理配置功能 (`PreprocessingSettings`): auto/manual/disabled 模式及相關參數
|
||||
- 簡化後端 API 的 `ProcessingOptions`，移除不再使用的參數
|
||||
|
||||
## Impact
|
||||
- Affected specs: `ocr-processing`
|
||||
- Affected code:
|
||||
- **前端需刪除的檔案**:
|
||||
- `frontend/src/components/OCRPresetSelector.tsx`
|
||||
- `frontend/src/components/TableDetectionSelector.tsx`
|
||||
- **前端需修改的檔案**:
|
||||
- `frontend/src/types/apiV2.ts` - 移除未使用的類型定義
|
||||
- `frontend/src/pages/ProcessingPage.tsx` - 移除已註解的相關 import 和邏輯
|
||||
- **後端需修改的檔案**:
|
||||
- `backend/app/schemas/task.py` - 移除 `ProcessingOptions` 中的 `ocr_preset`, `ocr_config`, `table_detection` 欄位
|
||||
- `backend/app/routers/tasks.py` - 清理對應的參數處理邏輯
|
||||
@@ -0,0 +1,127 @@
|
||||
# ocr-processing Specification Delta
|
||||
|
||||
## REMOVED Requirements
|
||||
|
||||
### Requirement: OCR Preset Selection
|
||||
**Reason**: OCR track 已改為 simple OCR 模式，不再需要前端提供複雜的預設配置。後端統一使用預設參數處理。
|
||||
**Migration**: 移除前端 `OCRPresetSelector` 組件及相關類型定義。後端自動使用最佳預設配置。
|
||||
|
||||
### Requirement: Table Detection Configuration
|
||||
**Reason**: 表格偵測設定（有框線/無框線表格開關、區域偵測開關）不再需要由前端控制。後端統一使用預設的表格偵測策略。
|
||||
**Migration**: 移除前端 `TableDetectionSelector` 組件及 `TableDetectionConfig` 類型。後端使用內建預設值。
|
||||
|
||||
### Requirement: OCR Advanced Parameters
|
||||
**Reason**: 進階 OCR 參數（如 `table_parsing_mode`, `layout_threshold`, `enable_chart_recognition` 等）不再需要前端配置。
|
||||
**Migration**: 移除前端 `OCRConfig` 類型及相關 UI。後端固定使用 simple OCR 模式的預設參數。
|
||||
|
||||
## MODIFIED Requirements
|
||||
|
||||
### Requirement: Layout Model Selection
|
||||
The system SHALL allow users to select a layout detection model optimized for their document type, providing a simple choice between pre-configured models instead of manual parameter tuning.
|
||||
|
||||
#### Scenario: User selects Chinese document model
|
||||
- **GIVEN** a user is processing Chinese business documents (forms, contracts, invoices)
|
||||
- **WHEN** the user selects "Chinese Document Model" (PP-DocLayout-S)
|
||||
- **THEN** the OCR engine SHALL use the PP-DocLayout-S layout detection model
|
||||
- **AND** the model SHALL be optimized for 23 Chinese document element types
|
||||
- **AND** table and form detection accuracy SHALL be improved over the default model
|
||||
|
||||
#### Scenario: User selects standard model for English documents
|
||||
- **GIVEN** a user is processing English academic papers or reports
|
||||
- **WHEN** the user selects "Standard Model" (PubLayNet-based)
|
||||
- **THEN** the OCR engine SHALL use the default PubLayNet-based layout detection model
|
||||
- **AND** the model SHALL be optimized for English document layouts
|
||||
|
||||
#### Scenario: User selects CDLA model for specialized Chinese layout
|
||||
- **GIVEN** a user is processing Chinese documents with complex layouts
|
||||
- **WHEN** the user selects "CDLA Model"
|
||||
- **THEN** the OCR engine SHALL use the picodet_lcnet_x1_0_fgd_layout_cdla model
|
||||
- **AND** the model SHALL provide specialized Chinese document layout analysis
|
||||
|
||||
#### Scenario: Layout model is sent via API request
|
||||
- **GIVEN** a frontend application with model selection UI
|
||||
- **WHEN** the user starts task processing with a selected model
|
||||
- **THEN** the frontend SHALL send the model choice in the request body:
|
||||
```json
|
||||
POST /api/v2/tasks/{task_id}/start
|
||||
{
|
||||
"use_dual_track": true,
|
||||
"force_track": "ocr",
|
||||
"language": "ch",
|
||||
"layout_model": "chinese"
|
||||
}
|
||||
```
|
||||
- **AND** the backend SHALL configure PP-StructureV3 with the corresponding model
|
||||
- **AND** the frontend SHALL NOT send `ocr_preset`, `ocr_config`, or `table_detection` parameters
|
||||
|
||||
#### Scenario: Default model when not specified
|
||||
- **GIVEN** an API request without `layout_model` parameter
|
||||
- **WHEN** the task is started
|
||||
- **THEN** the system SHALL use "chinese" (PP-DocLayout-S) as the default model
|
||||
- **AND** processing SHALL work correctly without requiring model selection
|
||||
|
||||
#### Scenario: Invalid model name is rejected
|
||||
- **GIVEN** a request with an invalid `layout_model` value
|
||||
- **WHEN** the user sends `layout_model: "invalid_model"`
|
||||
- **THEN** the API SHALL return 422 Validation Error
|
||||
- **AND** provide a clear error message listing valid model options
|
||||
|
||||
### Requirement: Layout Model Selection UI
|
||||
The frontend SHALL provide a simple, user-friendly interface for selecting layout detection models with clear descriptions of each option.
|
||||
|
||||
#### Scenario: Model options are displayed with descriptions
|
||||
- **GIVEN** the model selection UI is displayed
|
||||
- **WHEN** the user views the available options
|
||||
- **THEN** the UI SHALL show the following options:
|
||||
- "Chinese Document Model (Recommended)" - for Chinese forms, contracts, invoices
|
||||
- "Standard Model" - for English academic papers, reports
|
||||
- "CDLA Model" - for specialized Chinese layout analysis
|
||||
- **AND** each option SHALL have a brief description of its use case
|
||||
|
||||
#### Scenario: Chinese model is selected by default
|
||||
- **GIVEN** the user opens the task processing interface
|
||||
- **WHEN** the model selection is displayed
|
||||
- **THEN** "Chinese Document Model" SHALL be pre-selected as the default
|
||||
- **AND** the user MAY change the selection before starting processing
|
||||
|
||||
#### Scenario: Model selection is visible only for OCR track
|
||||
- **GIVEN** a document processing interface
|
||||
- **WHEN** the user selects processing track
|
||||
- **THEN** layout model selection SHALL be shown ONLY when OCR track is selected or auto-detected
|
||||
- **AND** SHALL be hidden for Direct track (which does not use PP-StructureV3)
|
||||
|
||||
#### Scenario: Simplified configuration options
|
||||
- **GIVEN** the OCR track processing interface
|
||||
- **WHEN** the user configures processing options
|
||||
- **THEN** the UI SHALL only show:
|
||||
- Layout model selection (chinese/default/cdla)
|
||||
- Image preprocessing settings (auto/manual/disabled)
|
||||
- **AND** SHALL NOT show:
|
||||
- OCR preset selection
|
||||
- Table detection configuration
|
||||
- Advanced OCR parameters
|
||||
|
||||
### Requirement: Simplified Processing Options API
|
||||
The backend API SHALL accept a simplified `ProcessingOptions` schema without complex OCR configuration parameters.
|
||||
|
||||
#### Scenario: API accepts minimal configuration
|
||||
- **GIVEN** a start task API request
|
||||
- **WHEN** the request body contains:
|
||||
```json
|
||||
{
|
||||
"use_dual_track": true,
|
||||
"force_track": "ocr",
|
||||
"language": "ch",
|
||||
"layout_model": "chinese",
|
||||
"preprocessing_mode": "auto"
|
||||
}
|
||||
```
|
||||
- **THEN** the API SHALL accept the request
|
||||
- **AND** process the task using backend default values for all other parameters
|
||||
|
||||
#### Scenario: Legacy parameters are ignored
|
||||
- **GIVEN** a start task API request with legacy parameters
|
||||
- **WHEN** the request contains `ocr_preset`, `ocr_config`, or `table_detection`
|
||||
- **THEN** the API SHALL ignore these parameters
|
||||
- **AND** use backend default values instead
|
||||
- **AND** NOT return an error (backward compatibility)
|
||||
51
openspec/changes/simplify-frontend-ocr-config/tasks.md
Normal file
51
openspec/changes/simplify-frontend-ocr-config/tasks.md
Normal file
@@ -0,0 +1,51 @@
|
||||
# Tasks: 簡化前端 OCR 配置選項
|
||||
|
||||
## 1. 前端清理
|
||||
|
||||
### 1.1 移除未使用的組件
|
||||
- [x] 1.1.1 刪除 `frontend/src/components/OCRPresetSelector.tsx`
|
||||
- [x] 1.1.2 刪除 `frontend/src/components/TableDetectionSelector.tsx`
|
||||
|
||||
### 1.2 清理 TypeScript 類型定義
|
||||
- [x] 1.2.1 從 `frontend/src/types/apiV2.ts` 移除以下類型:
|
||||
- `TableDetectionConfig` (第 121-125 行)
|
||||
- `OCRPreset` (第 131 行)
|
||||
- `TableParsingMode` (第 140 行)
|
||||
- `OCRConfig` (第 146-166 行)
|
||||
- `OCRPresetInfo` (第 171-177 行)
|
||||
- [x] 1.2.2 從 `ProcessingOptions` interface 移除以下欄位:
|
||||
- `table_detection`
|
||||
- `ocr_preset`
|
||||
- `ocr_config`
|
||||
|
||||
### 1.3 清理 ProcessingPage
|
||||
- [x] 1.3.1 確認 `frontend/src/pages/ProcessingPage.tsx` 中沒有引用已移除的類型或組件
|
||||
- [x] 1.3.2 移除相關的註解說明（如果有）- 保留說明性註解
|
||||
|
||||
## 2. 後端清理
|
||||
|
||||
### 2.1 清理 Schema 定義
|
||||
- [x] 2.1.1 從 `backend/app/schemas/task.py` 移除未使用的 Enum 和 Model:
|
||||
- `TableDetectionConfig`
|
||||
- `OCRPresetEnum`
|
||||
- `TableParsingModeEnum`
|
||||
- `OCRConfig`
|
||||
- `OCR_PRESET_CONFIGS`
|
||||
- [x] 2.1.2 從 `ProcessingOptions` 移除以下欄位:
|
||||
- `table_detection`
|
||||
- `ocr_preset`
|
||||
- `ocr_config`
|
||||
|
||||
### 2.2 清理 API 端點邏輯
|
||||
- [x] 2.2.1 檢查 `backend/app/routers/tasks.py` 中的 `start_task` 端點，移除對已刪除欄位的處理
|
||||
- [x] 2.2.2 更新 `process_task_ocr` 函數簽名和呼叫
|
||||
|
||||
### 2.3 清理 Service 層
|
||||
- [x] 2.3.1 檢查 `backend/app/services/ocr_service.py`，確認沒有依賴已移除的配置項
|
||||
- 注意：ocr_service.py 保留這些參數作為可選項，使用預設值處理。這是正確的設計，保持後端彈性。
|
||||
|
||||
## 3. 驗證
|
||||
|
||||
- [x] 3.1 確認 TypeScript 編譯無新錯誤（與本次變更相關的錯誤）
|
||||
- [ ] 3.2 確認後端 API 仍正常運作（需手動測試）
|
||||
- [ ] 3.3 測試上傳 -> 處理 -> 結果查看的完整流程（需手動測試）
|
||||
@@ -14,12 +14,21 @@ The system SHALL detect and fill gaps in PP-StructureV3 output by supplementing
|
||||
- **AND** identify Raw OCR regions not covered by any PP-StructureV3 element
|
||||
- **AND** supplement these regions as TEXT elements in the output
|
||||
|
||||
#### Scenario: Coverage is determined by center-point and IoU
|
||||
#### Scenario: Coverage is determined by IoA (Intersection over Area)
|
||||
- **GIVEN** a Raw OCR text region with bounding box
|
||||
- **WHEN** checking if the region is covered by PP-StructureV3
|
||||
- **THEN** the region SHALL be considered covered if its center point falls inside any PP-StructureV3 element bbox
|
||||
- **OR** if IoU with any PP-StructureV3 element exceeds 0.15 threshold
|
||||
- **AND** regions not meeting either criterion SHALL be marked as uncovered
|
||||
- **THEN** the region SHALL be considered covered if IoA (intersection area / OCR box area) exceeds the type-specific threshold
|
||||
- **AND** IoA SHALL be used instead of IoU because it correctly measures "small box contained in large box" relationship
|
||||
- **AND** regions not meeting the IoA criterion SHALL be marked as uncovered
|
||||
|
||||
#### Scenario: Element-type-specific IoA thresholds are applied
|
||||
- **GIVEN** a Raw OCR region being evaluated for coverage
|
||||
- **WHEN** comparing against PP-StructureV3 elements of different types
|
||||
- **THEN** the system SHALL apply different IoA thresholds:
|
||||
- TEXT, TITLE, HEADER, FOOTER: IoA > 0.6 (tolerates boundary errors)
|
||||
- TABLE: IoA > 0.1 (strict filtering to preserve table structure)
|
||||
- FIGURE, IMAGE: IoA > 0.8 (preserves text within figures like axis labels)
|
||||
- **AND** a region is considered covered if it meets the threshold for ANY overlapping element
|
||||
|
||||
#### Scenario: Only TEXT elements are supplemented
|
||||
- **GIVEN** uncovered Raw OCR regions identified for supplementation
|
||||
@@ -33,9 +42,9 @@ The system SHALL detect and fill gaps in PP-StructureV3 output by supplementing
|
||||
- **THEN** the system SHALL skip that region
|
||||
- **AND** only supplement regions with confidence >= 0.3
|
||||
|
||||
#### Scenario: Deduplication prevents repeated text
|
||||
#### Scenario: Deduplication uses IoA instead of IoU
|
||||
- **GIVEN** a Raw OCR region being considered for supplementation
|
||||
- **WHEN** the region has IoU > 0.5 with any existing PP-StructureV3 TEXT element
|
||||
- **WHEN** the region has IoA > 0.5 with any existing PP-StructureV3 TEXT element
|
||||
- **THEN** the system SHALL skip that region to prevent duplicate text
|
||||
- **AND** the original PP-StructureV3 element SHALL be preserved
|
||||
|
||||
@@ -99,10 +108,12 @@ The system SHALL provide configurable parameters for gap filling behavior.
|
||||
- **THEN** the system SHALL activate gap filling
|
||||
- **AND** supplement uncovered regions
|
||||
|
||||
#### Scenario: IoU thresholds are configurable
|
||||
- **GIVEN** custom IoU thresholds configured:
|
||||
- gap_filling_iou_threshold: 0.2
|
||||
- gap_filling_dedup_iou_threshold: 0.6
|
||||
#### Scenario: IoA thresholds are configurable per element type
|
||||
- **GIVEN** custom IoA thresholds configured:
|
||||
- gap_filling_ioa_threshold_text: 0.6
|
||||
- gap_filling_ioa_threshold_table: 0.1
|
||||
- gap_filling_ioa_threshold_figure: 0.8
|
||||
- gap_filling_dedup_ioa_threshold: 0.5
|
||||
- **WHEN** evaluating coverage and deduplication
|
||||
- **THEN** the system SHALL use the configured values
|
||||
- **AND** apply them consistently throughout gap filling process
|
||||
@@ -113,6 +124,12 @@ The system SHALL provide configurable parameters for gap filling behavior.
|
||||
- **THEN** the system SHALL only include regions with confidence >= 0.5
|
||||
- **AND** filter out lower confidence regions
|
||||
|
||||
#### Scenario: Boundary shrinking reduces edge duplicates
|
||||
- **GIVEN** gap_filling_shrink_pixels is set to 1
|
||||
- **WHEN** evaluating coverage with IoA
|
||||
- **THEN** the system SHALL shrink OCR bounding boxes inward by 1 pixel on each side
|
||||
- **AND** this reduces false "uncovered" detection at region boundaries
|
||||
|
||||
### Requirement: Layout Model Selection
|
||||
The system SHALL allow users to select a layout detection model optimized for their document type, providing a simple choice between pre-configured models instead of manual parameter tuning.
|
||||
|
||||
@@ -258,3 +275,37 @@ The system SHALL provide configurable thresholds for cell validation.
|
||||
- **THEN** the system SHALL use the custom values
|
||||
- **AND** apply them consistently to all pages
|
||||
|
||||
### Requirement: Use PP-StructureV3 Internal OCR Results
|
||||
|
||||
The system SHALL preferentially use PP-StructureV3's internal OCR results (`overall_ocr_res`) instead of running a separate Raw OCR inference.
|
||||
|
||||
#### Scenario: Extract overall_ocr_res from PP-StructureV3
|
||||
- **GIVEN** PP-StructureV3 processing completes
|
||||
- **WHEN** the result contains `json['res']['overall_ocr_res']`
|
||||
- **THEN** the system SHALL extract OCR regions from:
|
||||
- `dt_polys`: detection box polygons
|
||||
- `rec_texts`: recognized text strings
|
||||
- `rec_scores`: confidence scores
|
||||
- **AND** convert these to the standard TextRegion format for gap filling
|
||||
|
||||
#### Scenario: Skip separate Raw OCR when overall_ocr_res is available
|
||||
- **GIVEN** gap_filling_use_overall_ocr is true (default)
|
||||
- **WHEN** PP-StructureV3 result contains overall_ocr_res
|
||||
- **THEN** the system SHALL NOT execute separate PaddleOCR inference
|
||||
- **AND** use the extracted overall_ocr_res as the OCR source
|
||||
- **AND** this reduces total inference time by approximately 50%
|
||||
|
||||
#### Scenario: Fallback to separate Raw OCR when needed
|
||||
- **GIVEN** gap_filling_use_overall_ocr is false OR overall_ocr_res is missing
|
||||
- **WHEN** gap filling is activated
|
||||
- **THEN** the system SHALL execute separate PaddleOCR inference as before
|
||||
- **AND** use the separate OCR results for gap filling
|
||||
- **AND** this maintains backward compatibility
|
||||
|
||||
#### Scenario: Coordinate consistency is guaranteed
|
||||
- **GIVEN** overall_ocr_res is extracted from PP-StructureV3
|
||||
- **WHEN** comparing with PP-StructureV3 layout elements
|
||||
- **THEN** both SHALL use the same coordinate system
|
||||
- **AND** no additional coordinate alignment is needed
|
||||
- **AND** this prevents scale mismatch issues
|
||||
|
||||
|
||||
Reference in New Issue
Block a user