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只是更改了一些配置

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zhangpu
2025-10-10 15:59:01 +08:00
parent 9eed8acb71
commit 2660d503d6
4 changed files with 6 additions and 6 deletions
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classifier/embedding_food_classifier_app.py
+1 -1
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@@ -61,7 +61,7 @@ class EmbeddingFoodClassifierApp:
"""加载训练好的embedding模型和FAISS索引""" """加载训练好的embedding模型和FAISS索引"""
try: try:
# 模型路径 # 模型路径
model_path = "../model/embedding_20250930_102826/best_embedding_model.pth" model_path = "../model/embedding_20251010_111257/best_embedding_model.pth"
# FAISS索引目录 # FAISS索引目录
index_dir = "../faiss_vector_db/faiss_index" index_dir = "../faiss_vector_db/faiss_index"
classifier/embedding_food_classifier_search_app.py
+3 -3
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@@ -62,7 +62,7 @@ class EmbeddingFoodClassifierApp:
"""加载训练好的embedding模型和FAISS索引""" """加载训练好的embedding模型和FAISS索引"""
try: try:
# 模型路径 # 模型路径
model_path = "../model/embedding_20250930_102826/best_embedding_model.pth" model_path = "../model/embedding_20251010_111257/best_embedding_model.pth"
# FAISS索引目录 # FAISS索引目录
index_dir = "../faiss_vector_db/faiss_index" index_dir = "../faiss_vector_db/faiss_index"
@@ -1136,8 +1136,8 @@ class EmbeddingFoodClassifierApp:
topk_scores, topk_indices = torch.topk(sims, k=min(k, sims.shape[1]), dim=1) topk_scores, topk_indices = torch.topk(sims, k=min(k, sims.shape[1]), dim=1)
indices = topk_indices.cpu().numpy() indices = topk_indices.cpu().numpy()
scores = topk_scores.cpu().numpy() scores = topk_scores.cpu().numpy()
# print("相似度索引：", indices) print("相似度索引：", indices)
# print("相似度分数：", scores) print("相似度分数：", scores)
# 收集相似图片的类别 # 收集相似图片的类别
similar_classes = [] similar_classes = []
data_expansion/data_expansion.py
+1 -1
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@@ -27,7 +27,7 @@ for class_name in os.listdir(input_root):
input_dir = os.path.join(input_root, class_name) input_dir = os.path.join(input_root, class_name)
output_dir = os.path.join(output_root, class_name) output_dir = os.path.join(output_root, class_name)
os.makedirs(output_dir, exist_ok=True) os.makedirs(output_dir, exist_ok=True)
if class_name == "肉沫酸豆角": if class_name == "手撕包菜":
# 读取类别下所有图片路径 # 读取类别下所有图片路径
img_files = [f for f in os.listdir(input_dir) if f.lower().endswith(('.jpg', '.png', '.jpeg'))] img_files = [f for f in os.listdir(input_dir) if f.lower().endswith(('.jpg', '.png', '.jpeg'))]
img_paths = [os.path.join(input_dir, f) for f in img_files] img_paths = [os.path.join(input_dir, f) for f in img_files]
faiss_vector_db/build_faiss_index.py
+1 -1
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@@ -477,7 +477,7 @@ class FAISSSearcher:
def main(): def main():
"""主函数""" """主函数"""
# 配置参数 # 配置参数
MODEL_PATH = "../model/embedding_20250930_102826/best_embedding_model.pth" MODEL_PATH = "../model/embedding_20251010_111257/best_embedding_model.pth"
TRAIN_DIR = "../dataset/train" TRAIN_DIR = "../dataset/train"
OUTPUT_DIR = "faiss_index" OUTPUT_DIR = "faiss_index"
BATCH_SIZE = 16 BATCH_SIZE = 16