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training/train_normal.py

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+"""
+训练普通字符识别模型 (LiteCRNN - normal 模式)
+
+用法: python -m training.train_normal
+"""
+
+from config import (
+    NORMAL_CHARS,
+    IMAGE_SIZE,
+    SYNTHETIC_NORMAL_DIR,
+    REAL_NORMAL_DIR,
+)
+from generators.normal_gen import NormalCaptchaGenerator
+from models.lite_crnn import LiteCRNN
+from training.train_utils import train_ctc_model
+
+
+def main():
+    img_h, img_w = IMAGE_SIZE["normal"]
+    model = LiteCRNN(chars=NORMAL_CHARS, img_h=img_h, img_w=img_w)
+
+    print("=" * 60)
+    print("训练普通字符识别模型 (LiteCRNN - normal)")
+    print(f"  字符集: {NORMAL_CHARS}  ({len(NORMAL_CHARS)} 字符)")
+    print(f"  输入尺寸: {img_h}×{img_w}")
+    print("=" * 60)
+
+    train_ctc_model(
+        model_name="normal",
+        model=model,
+        chars=NORMAL_CHARS,
+        synthetic_dir=SYNTHETIC_NORMAL_DIR,
+        real_dir=REAL_NORMAL_DIR,
+        generator_cls=NormalCaptchaGenerator,
+        config_key="normal",
+    )
+
+
+if __name__ == "__main__":
+    main()