Initial commit: Invoice field extraction system using YOLO + OCR

Features:
- Auto-labeling pipeline: CSV values -> PDF search -> YOLO annotations
- Flexible date matching: year-month match, nearby date tolerance
- PDF text extraction with PyMuPDF
- OCR support for scanned documents (PaddleOCR)
- YOLO training and inference pipeline
- 7 field types: InvoiceNumber, InvoiceDate, InvoiceDueDate, OCR, Bankgiro, Plusgiro, Amount

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>

scripts/run_autolabel.sh

@@ -0,0 +1,55 @@
+#!/bin/bash
+# 自动标注运行脚本
+# 使用方法: bash scripts/run_autolabel.sh
+
+set -e
+
+# 项目根目录
+PROJECT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")/.." && pwd)"
+cd "$PROJECT_DIR"
+
+# 激活虚拟环境
+if [ -f "venv/bin/activate" ]; then
+    source venv/bin/activate
+else
+    echo "错误: 虚拟环境不存在，请先运行 setup_wsl.sh"
+    exit 1
+fi
+
+# 默认参数
+CSV_FILE="${CSV_FILE:-data/structured_data/invoices.csv}"
+PDF_DIR="${PDF_DIR:-data/raw_pdfs}"
+OUTPUT_DIR="${OUTPUT_DIR:-data/dataset}"
+REPORT_FILE="${REPORT_FILE:-reports/autolabel_report.jsonl}"
+DPI="${DPI:-300}"
+MIN_CONFIDENCE="${MIN_CONFIDENCE:-0.7}"
+
+# 显示配置
+echo "=========================================="
+echo "自动标注配置"
+echo "=========================================="
+echo "CSV 文件:    $CSV_FILE"
+echo "PDF 目录:    $PDF_DIR"
+echo "输出目录:    $OUTPUT_DIR"
+echo "报告文件:    $REPORT_FILE"
+echo "DPI:         $DPI"
+echo "最小置信度:  $MIN_CONFIDENCE"
+echo "=========================================="
+echo ""
+
+# 创建必要目录
+mkdir -p "$(dirname "$REPORT_FILE")"
+mkdir -p "$OUTPUT_DIR"
+
+# 运行自动标注
+python -m src.cli.autolabel \
+    --csv "$CSV_FILE" \
+    --pdf-dir "$PDF_DIR" \
+    --output "$OUTPUT_DIR" \
+    --report "$REPORT_FILE" \
+    --dpi "$DPI" \
+    --min-confidence "$MIN_CONFIDENCE" \
+    --verbose
+
+echo ""
+echo "完成! 数据集已生成到: $OUTPUT_DIR"