将分类的类别也应用在训练程序中，更好的解耦。

settings/settings.py

@@ -15,7 +15,7 @@ VAL_DATA_DIR = os.path.join(DATASET_DIR, 'val')
 TEST_DATA_DIR = os.path.join(DATASET_DIR, 'test')
 
 # 模型保存路径
-MODEL_DIR = os.path.join(BASE_DIR, 'model', '10')
+MODEL_DIR = os.path.join(BASE_DIR, 'model', '12')
 BEST_MODEL_PATH = os.path.join(MODEL_DIR, 'best_food_model.pth')
 TRAINING_CURVES_PATH = os.path.join(MODEL_DIR, 'training_curves.png')
 TRAINING_RESULTS_PATH = os.path.join(MODEL_DIR, 'training_results.txt')
@@ -47,7 +47,7 @@ COLOR_JITTER_SATURATION = 0.2
 COLOR_JITTER_HUE = 0.1
 
 # 模型参数
-NUM_CLASSES = 3
+NUM_CLASSES = 4
 
 # 其他配置
 NUM_WORKERS = 0  # Windows下建议设为0