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_19K_EXP_CUT_TRANS — ICE-COR 角点矫正 + 透视变换
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> **以脚本为准**:生成逻辑以 `ICE_Dataset/scripts/build_ccpd_19k_exp_cut_trans.py` 为准。
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由 CCPD_19K_EXP_CUT 经 ICE-COR 角点推理 → 中心外扩 8%(x)/5%(y) → 透视变换生成。
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## 处理流程
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```
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CCPD_19K_EXP_CUT (~18,887 张)
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→ ICE-COR best.pth 推理 (192×64)
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→ 角点排序 (TL→TR→BR→BL)
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→ 中心外扩: 8% (x) / 5% (y)
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→ 透视变换 → 192×64
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→ 文件名追加 _trans
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→ CCPD_19K_EXP_CUT_TRANS
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```
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## 目录结构
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```
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CCPD_19K_EXP_CUT_TRANS/
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├── train/ # 与源数据集对应
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│ ├── blue/
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│ ├── green/
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│ ├── police/
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│ ├── army/
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│ ├── gangao/
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│ ├── shiguan_old/
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│ ├── shiguan_new/
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│ ├── lingguan_old/
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│ ├── lingguan_new/
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│ ├── coach/
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│ └── new_energy/
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├── test/
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│ └── ... (同上 11 类)
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└── README.md
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```
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## 生成脚本
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```bash
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cd ICE_Dataset/CCPD_19K_EXP_CUT_TRANS
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python build_ccpd_19k_exp_cut_trans.py --dry-run # 预览 (每类2张)
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python build_ccpd_19k_exp_cut_trans.py --n 100 # 预览 100 张
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python build_ccpd_19k_exp_cut_trans.py --full # 全量处理
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```
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## 参数说明
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| 参数 | 说明 |
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|------|------|
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| 外扩比例 | 8% (x) / 5% (y),从四角点中心向外径向扩展 |
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| 输出尺寸 | 192×64 (对齐车牌生成器 440×140 底图比例) |
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| 文件名 | 原文件名追加 `_trans`,不重映射角点 |
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| 跳过策略 | ICE-COR 推理失败 / 角点越界 → 直接跳过 |
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## 模型
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- ICE-COR: `ICE_NNv2/ICE-COR/output/1_CCPD_19K_EXP_CUT/best.pth`
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- 专为 CCPD_19K_EXP_CUT 裁剪车牌 ROI 训练
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