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/pipeline_322k.py

@@ -0,0 +1,64 @@
+#!/usr/bin/env python3
+"""322K Pipeline Step 2-4: EXP_CUT -> TRANS -> Train"""
+import os, sys, shutil, subprocess
+from pathlib import Path
+
+ICE = Path(r'C:\Users\Kirl\Desktop\ICEv2\ICE_Dataset')
+PY = r'C:/Program Files/Python313/python.exe'
+NN = Path(r'C:\Users\Kirl\Desktop\ICEv2\ICE_NNv2')
+
+DATASET = ICE / 'CCPD_322K'
+EXP_CUT = ICE / 'CCPD_322K_EXP_CUT'
+TRANS   = ICE / 'CCPD_322K_EXP_CUT_TRANS'
+
+def run(cmd):
+    print(f"  {str(cmd)[:150]}...")
+    if isinstance(cmd, list):
+        r = subprocess.run(cmd)
+    else:
+        r = subprocess.run(cmd, shell=True)
+    if r.returncode != 0: print(f"  FAILED ({r.returncode})"); sys.exit(1)
+
+# ===== Step 2: EXP_CUT =====
+print("===== 2/4 EXP_CUT =====")
+shutil.rmtree(EXP_CUT, ignore_errors=True)
+EXP_CUT.mkdir(parents=True)
+
+exp_py = ICE / 'CCPD_19K_EXP_CUT' / 'build_ccpd_19k_exp_cut.py'
+code = exp_py.read_text(encoding='utf-8')
+code = code.replace(
+    'SRC_DIR     = PROJ_ROOT / "ICE_Dataset" / "CCPD_19K"          # 源数据集',
+    f'SRC_DIR     = Path(r"{DATASET}")')
+code = code.replace(
+    'DST_DIR     = SCRIPT_DIR                                        # 本目录 (CCPD_19K_EXP_CUT)',
+    f'DST_DIR     = Path(r"{EXP_CUT}")')
+tmp = ICE / 'scripts' / '_e.py'
+tmp.write_text(code, encoding='utf-8')
+run([PY, str(tmp), '--full'])
+tmp.unlink()
+print(f"  Images: {sum(1 for _ in EXP_CUT.rglob('*.jpg'))}")
+
+# ===== Step 3: TRANS =====
+print("===== 3/4 TRANS =====")
+shutil.rmtree(TRANS, ignore_errors=True)
+TRANS.mkdir(parents=True)
+
+trans_py = ICE / 'CCPD_19K_EXP_CUT_TRANS' / 'build_ccpd_19k_exp_cut_trans.py'
+code = trans_py.read_text(encoding='utf-8')
+code = code.replace(
+    'SRC_DIR     = PROJ_ROOT / "ICE_Dataset" / "CCPD_19K_EXP_CUT"         # 源数据集',
+    f'SRC_DIR     = Path(r"{EXP_CUT}")')
+code = code.replace(
+    'DST_DIR     = PROJ_ROOT / "ICE_Dataset" / "CCPD_19K_EXP_CUT_TRANS"',
+    f'DST_DIR     = Path(r"{TRANS}")')
+tmp = ICE / 'scripts' / '_t.py'
+tmp.write_text(code, encoding='utf-8')
+run([PY, str(tmp), '--full'])
+tmp.unlink()
+print(f"  Images: {sum(1 for _ in TRANS.rglob('*.jpg'))}")
+
+# ===== Step 4: Training =====
+print("===== 4/4 Training =====")
+os.chdir(str(NN / 'ICE-OCR'))
+run([PY, 'script/train.py', '--dataset', 'ccpd_trans', '--epochs', '100', '--batch', '128', '--output', 'ccpd_322k_best.pth', '--workers', '2', '--data-dir', str(TRANS)])
+print("DONE")