feat(新功能):
fix(修复bug): clothing seg 服务图片缺少3通道逻辑增加 docs(文档变更): refactor(重构): test(增加测试):
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@@ -6,7 +6,7 @@ from chromadb.config import Settings
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from chromadb.utils.embedding_functions.ollama_embedding_function import OllamaEmbeddingFunction
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from chromadb.utils.embedding_functions.ollama_embedding_function import OllamaEmbeddingFunction
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from tqdm import tqdm
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from tqdm import tqdm
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from app.core.config import OLLAMA_URL
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from app.core.config import OLLAMA_URL, CHROMADB_PATH
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# 读取 csv 文件
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# 读取 csv 文件
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# csv_file_path = r'D:/Files/csv/output/output.csv'
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# csv_file_path = r'D:/Files/csv/output/output.csv'
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@@ -15,7 +15,7 @@ from app.core.config import OLLAMA_URL
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# df = pd.read_csv(csv_file_path, encoding='Windows-1252')
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# df = pd.read_csv(csv_file_path, encoding='Windows-1252')
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# 创建 Chroma 客户端
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# 创建 Chroma 客户端
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client = chromadb.Client(Settings(is_persistent=True, persist_directory="/vector_db"))
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client = chromadb.Client(Settings(is_persistent=True, persist_directory=CHROMADB_PATH))
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# client = chromadb.Client(Settings(is_persistent=True, persist_directory="./service/search_image_with_text/vector_db"))
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# client = chromadb.Client(Settings(is_persistent=True, persist_directory="./service/search_image_with_text/vector_db"))
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# client = chromadb.Client(Settings(is_persistent=True, persist_directory="D:/workspace/AiDLab/vector_db"))
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# client = chromadb.Client(Settings(is_persistent=True, persist_directory="D:/workspace/AiDLab/vector_db"))
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# 创建集合
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# 创建集合
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