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

scripts/gen_random_bg.py

@@ -0,0 +1,76 @@
+#!/usr/bin/env python3
+"""
+全量生成 Random 蓝绿车牌
+blue 150K + green 100K, 覆盖全部 CCPD 背景
+"""
+
+import os, sys, time
+from pathlib import Path
+
+ICE_DATASET = Path(r'C:\Users\Kirl\Desktop\ICEv2\ICE_Dataset')
+os.chdir(str(ICE_DATASET))
+
+sys.path.insert(0, str(ICE_DATASET / 'CCPD_SPE_GEN' / 'cv_pipeline'))
+from plate_swap import PlateSwapPipeline
+
+CCPD2019 = ICE_DATASET / 'CCPD' / 'CCPD2019'
+CCPD2020 = ICE_DATASET / 'CCPD' / 'CCPD2020'
+OUT = ICE_DATASET / 'CCPD_Random_Blue150K_Green100K'
+
+# 全部可用 CCPD 子集 (含全量, 不限于2019)
+CCPD_DIRS = [
+    str(CCPD2019 / 'ccpd_base'),
+    str(CCPD2019 / 'ccpd_blur'),
+    str(CCPD2019 / 'ccpd_challenge'),
+    str(CCPD2019 / 'ccpd_fn'),
+    str(CCPD2019 / 'ccpd_rotate'),
+    str(CCPD2019 / 'ccpd_tilt'),
+    str(CCPD2019 / 'ccpd_weather'),
+]
+
+# 只保留实际存在的
+CCPD_DIRS = [d for d in CCPD_DIRS if Path(d).is_dir()]
+print(f"CCPD 背景目录: {len(CCPD_DIRS)}")
+
+SEED = 42
+WORKERS = 24
+
+def main():
+    import shutil
+    # 断点续传: 不删除已有数据
+    total_start = time.time()
+
+    for plate_type, target in [('blue', 150000), ('green', 100000)]:
+        out_dir = OUT / plate_type
+        out_dir.mkdir(parents=True, exist_ok=True)
+        existing = len(list(out_dir.glob('*.jpg')))
+        if existing >= target:
+            print(f"\n[{plate_type}] 已有 {existing} >= {target}, 跳过")
+            continue
+        need = target - existing
+        print(f"\n{'='*60}")
+        print(f"[{plate_type}] 已有 {existing}, 需补 {need} → 目标 {target}")
+        print(f"{'='*60}")
+
+        pipeline = PlateSwapPipeline(plate_type=plate_type)
+
+        print(f"  生成中...", end=' ', flush=True)
+        t0 = time.time()
+        pipeline.process_batch(
+            ccpd_dirs=CCPD_DIRS,
+            output_dir=str(out_dir),
+            num_images=need,
+            preview=False,
+            seed=SEED,
+            workers=WORKERS,
+        )
+        elapsed = time.time() - t0
+        print(f"完成 ({elapsed:.0f}s, {need/elapsed:.0f} 张/s)")
+
+    total_t = time.time() - total_start
+    blue_final = len(list((OUT / 'blue').glob('*.jpg')))
+    green_final = len(list((OUT / 'green').glob('*.jpg')))
+    print(f"\nDONE! blue={blue_final} green={green_final}, {total_t/60:.1f}min")
+
+if __name__ == '__main__':
+    main()