Dataset: add READMEs, organize scripts, update .gitignore
- Add README.md to all 16 dataset directories with script references - Centralize generation scripts under scripts/ with full README - Update .gitignore to cover all data directories, keep only metadata - Remove redundant CCPD/.gitignore (parent covers same rules) - Remove stale scripts/test/ (254MB pipeline residue) - Fix label parser reference: scripts are authoritative source of truth
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# CCPD raw data (download from official source)
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CCPD2019/
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CCPD2020/
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# 7z archives (optional, via git LFS)
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*.7z
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# CCPD Dataset
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# CCPD 原始真图
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CCPD (Chinese City Parking Dataset) 公开车牌识别数据集。
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> **以脚本为准**:`scripts/sample_ccpd_full.py` 决定如何读取和转换此目录。
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## 获取数据
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从 CCPD 官方下载,解压到本目录。
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## 目录结构
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| 项目 | 详情 |
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|---|---|
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| 来源 | CCPD2019 + CCPD2020 公开数据集 |
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| 规模 | 353,158 张 |
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| 标签格式 | CCPD 文件名编码(`parse_ccpd_filename` 解析) |
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| 下游脚本 | `scripts/sample_ccpd_full.py` → `CCPD_REAL_TRANS/` |
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| 训练用途 | 不直接用于训练,仅作为生成脚本的输入源 |
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```
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CCPD/
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├── CCPD2019/ # 原始 CCPD2019(本地,不入库)
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│ ├── ccpd_base/ # 199,996 张
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│ ├── ccpd_blur/ # 20,611 张
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│ ├── ccpd_challenge/ # 50,003 张
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│ ├── ccpd_db/ # 10,132 张
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│ ├── ccpd_fn/ # 20,967 张
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│ ├── ccpd_np/ # 3,036 张
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│ ├── ccpd_rotate/ # 10,053 张
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├── CCPD2019/ # ccpd_base / blur / challenge / fn / rotate / tilt / weather / np
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└── CCPD2020/ # 同上结构
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```
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│ ├── ccpd_tilt/ # 30,216 张
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│ ├── ccpd_weather/ # 9,999 张
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│ └── splits/ # 标注文件(本地,不入库)
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