更新模型调用

gui/train.py

@@ -6,7 +6,7 @@ import warnings
 from tqdm import tqdm
 from torchvision import datasets, transforms
 from torch.utils.data import DataLoader, random_split
-from model import CNNClassifier
+from model import SimpleCNN, CustomCNN
 
 
 warnings.filterwarnings("ignore", category=UserWarning)
@@ -34,7 +34,8 @@ test_loader = DataLoader(test_dataset, batch_size=16, shuffle=False)
 
 # 初始化模型
 num_classes = len(full_dataset.classes)
-model = CNNClassifier(num_classes)
+chosen_model = CustomCNN
+model = chosen_model(num_classes)
 
 # 初始化损失函数和优化器
 criterion = nn.CrossEntropyLoss()
@@ -71,7 +72,7 @@ if __name__ == '__main__':
     # 测试模型
     load_saved_model = True
     if load_saved_model and os.path.exists(model_path):
-        model = CNNClassifier(num_classes)
+        model = chosen_model(num_classes)
         model.load_state_dict(torch.load(model_path, weights_only=True))
         model.to(device)