模型文件路径
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@@ -19,7 +19,10 @@ def main():
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base_model = create_mobile_resnet50_embedding(embedding_dim=512, pretrained=True)
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# model_path = "../model/DishClassification/grid_search_20251121_102723/model_s56.0_m0.4.pth"
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# model_path = "../model/WholeIngredientRecognition/cosface_20251106_134718/best_cosface_model.pth"
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model_path = "../model/WholeIngredientRecognition/grid_search_20251204_140816/model_s64.0_m0.4.pth"
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#原本路径,原本模型
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#model_path = "../model/WholeIngredientRecognition/grid_search_20251204_140816/model_s64.0_m0.4.pth"
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#新路径,新模型 (模型不可用)
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model_path = "../model/WholeIngredientRecognition/cosface_20260121_133207/best_cosface_model.pth"
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# model_path = "../model/ProcessedIngredientRecognition/embedding_20251029_173607/best_embedding_model.pth"
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if not os.path.exists(model_path):
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@@ -94,12 +97,15 @@ def main():
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# 保存模型,一定不要乱改,防止模型覆盖!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
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# output_path = "../model/DishClassification/grid_search_20251121_102723/best_embedding_model_mobile.pt"
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output_path = "../model/WholeIngredientRecognition/grid_search_20251204_140816/best_embedding_model_mobile.pt"
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#原本路径
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#output_path = "../model/WholeIngredientRecognition/grid_search_20251204_140816/best_embedding_model_mobile.pt"
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#新路径
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output_path = "../model/WholeIngredientRecognition/cosface_20260121_133207/best_cosface_model_mobile.pt"
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# output_path = "../model/WholeIngredientRecognition/cosface_20251106_134718/best_embedding_model_mobile.pt"
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# output_path = "../model/ProcessedIngredientRecognition/embedding_20251029_173607/best_embedding_model_mobile.pt"
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traced_model.save(output_path)
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print(f"✓ TorchScript模型保存成功: {output_path}")
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# 验证保存的模型
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loaded_model = torch.jit.load(output_path)
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with torch.no_grad():
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