参数修改。
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@@ -498,16 +498,16 @@ def main():
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# MODEL_PATH = "../model/embedding_20251011_133653/best_embedding_model.pth"
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# MODEL_PATH = "../model/ProcessedIngredientRecognition/embedding_20251103_172012/best_embedding_model.pth"
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# MODEL_PATH = "../model/WholeIngredientRecognition/cosface_20251113_160103/best_cosface_model.pth"
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# MODEL_PATH = "../model/WholeIngredientRecognition/grid_search_20251120_205839/model_s68.0_m0.38.pth"
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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/grid_search_20251127_180944/model_s72.0_m0.35.pth"
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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/DishClassification/cosface_20251111_153649/best_cosface_model.pth"
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# TRAIN_DIR = "../dataset/ProcessedIngredientRecognition/train"
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# TRAIN_DIR = "../dataset/WholeIngredientRecognition/train"
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TRAIN_DIR = "../dataset/DishClassification/train"
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TRAIN_DIR = "../dataset/WholeIngredientRecognition/train"
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# TRAIN_DIR = "../dataset/DishClassification/train"
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# OUTPUT_DIR = "ProcessedIngredientRecognition/faiss_index"
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# OUTPUT_DIR = "WholeIngredientRecognition/faiss_index"
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OUTPUT_DIR = "DishClassification/faiss_index"
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OUTPUT_DIR = "WholeIngredientRecognition/faiss_index"
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# OUTPUT_DIR = "DishClassification/faiss_index"
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BATCH_SIZE = 16
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INDEX_TYPE = 'flat' # 'flat', 'ivf', 'hnsw'
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EMBEDDING_DIM = 512
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@@ -162,11 +162,11 @@ def plot_2d(Z: np.ndarray, y: np.ndarray, title: str, out_path: Optional[str] =
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def main():
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parser = argparse.ArgumentParser(description="可视化高维 embedding 并进行坍塌诊断")
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parser.add_argument("--embeddings", type=str, default=os.path.join("DishClassification/faiss_index", "embeddings.json"), help="embeddings.json 路径")
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# parser.add_argument("--embeddings", type=str, default=os.path.join("WholeIngredientRecognition/faiss_index", "embeddings.json"), help="embeddings.json 路径")
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# parser.add_argument("--embeddings", type=str, default=os.path.join("DishClassification/faiss_index", "embeddings.json"), help="embeddings.json 路径")
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parser.add_argument("--embeddings", type=str, default=os.path.join("WholeIngredientRecognition/faiss_index", "embeddings.json"), help="embeddings.json 路径")
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# parser.add_argument("--embeddings", type=str, default=os.path.join("ProcessedIngredientRecognition/faiss_index", "embeddings.json"), help="embeddings.json 路径")
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parser.add_argument("--labels", type=str, default=os.path.join("DishClassification/faiss_index", "labels.json"), help="labels.json 路径")
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# parser.add_argument("--labels", type=str, default=os.path.join("WholeIngredientRecognition/faiss_index", "labels.json"), help="labels.json 路径")
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# parser.add_argument("--labels", type=str, default=os.path.join("DishClassification/faiss_index", "labels.json"), help="labels.json 路径")
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parser.add_argument("--labels", type=str, default=os.path.join("WholeIngredientRecognition/faiss_index", "labels.json"), help="labels.json 路径")
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# parser.add_argument("--labels", type=str, default=os.path.join("ProcessedIngredientRecognition/faiss_index", "labels.json"), help="labels.json 路径")
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parser.add_argument("--method", type=str, default="pca", choices=["pca", "tsne", "umap"], help="降维方法")
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parser.add_argument("--seed", type=int, default=42)
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