feat: 特殊车牌生成管线 + C++/多进程/色温校正

CCPD_SPE_GEN/cv_pipeline/gen_pure_plates.py

@@ -0,0 +1,45 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+"""
+生成纯合成车牌（无场景背景）作为 CUT Domain A
+============================================
+独立于 CCPD 原图，直接调用车牌生成器渲染纯车牌图像。
+"""
+import sys
+import os
+import random
+from pathlib import Path
+
+import cv2
+import numpy as np
+
+# 路径解析：定位 chinese_license_plate_generator
+_SCRIPT_DIR = Path(__file__).resolve().parent  # .../CCPD_SPE_GEN/cv_pipeline/
+_PROJECT_DIR = _SCRIPT_DIR.parent.parent        # .../ICE_Dataset/
+_GENERATOR_DIR = _PROJECT_DIR / 'chinese_license_plate_generator'
+
+if str(_GENERATOR_DIR) not in sys.path:
+    sys.path.insert(0, str(_GENERATOR_DIR))
+
+from generate_multi_plate import MultiPlateGenerator
+
+random.seed(42)
+np.random.seed(42)
+
+g = MultiPlateGenerator(
+    str(_GENERATOR_DIR / 'plate_model'),
+    str(_GENERATOR_DIR / 'font_model')
+)
+
+out = 'gan_data/domain_A_synthetic/police_pure'
+os.makedirs(out, exist_ok=True)
+
+for i in range(500):
+    num, bg, _ = g.generate_plate_number()
+    # 强制police类型
+    if '警' not in num:
+        num = num[:6] + '警'
+    img = g.generate_plate_special(num, 'white', False)
+    cv2.imwrite(f'{out}/synth_{i:04d}.jpg', img)
+
+print(f'Done: {out} ({len(os.listdir(out))} images)')