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代码回滚：增加未知类别负样本之后，模型不收敛，训练效果特别差，现在进行回滚。回滚之后效果非常不错。

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This commit is contained in:
zhangpu
2025-10-29 16:40:05 +08:00
parent 1c8ceef5b0
commit 07bae61a10
4 changed files with 43 additions and 30 deletions
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faiss_vector_db/build_faiss_index.py
+7 -4
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@@ -480,12 +480,15 @@ def main():
"""主函数"""
# 配置参数
# MODEL_PATH = "../model/embedding_20251011_133653/best_embedding_model.pth"
# MODEL_PATH = "../model/WholeIngredientRecognition/embedding_20251021_085915/best_embedding_model.pth"
MODEL_PATH = "../model/DishClassification/embedding_20251022_093635/best_embedding_model.pth"
MODEL_PATH = "../model/ProcessedIngredientRecognition/embedding_20251029_100204/best_embedding_model.pth"
# MODEL_PATH = "../model/WholeIngredientRecognition/embedding_20251024_091151/best_embedding_model.pth"
# MODEL_PATH = "../model/DishClassification/embedding_20251022_093635/best_embedding_model.pth"
TRAIN_DIR = "../dataset/ProcessedIngredientRecognition/train"
# TRAIN_DIR = "../dataset/WholeIngredientRecognition/train"
TRAIN_DIR = "../dataset/DishClassification/train"
# TRAIN_DIR = "../dataset/DishClassification/train"
OUTPUT_DIR = "ProcessedIngredientRecognition/faiss_index"
# OUTPUT_DIR = "WholeIngredientRecognition/faiss_index"
OUTPUT_DIR = "DishClassification/faiss_index"
# OUTPUT_DIR = "DishClassification/faiss_index"
BATCH_SIZE = 16
INDEX_TYPE = 'flat' # 'flat', 'ivf', 'hnsw'
EMBEDDING_DIM = 512