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docs: refactor
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TingquanGao committed Sep 16, 2022
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- Metric Learning——更鲁棒的检索特征
- Logo识别等方向延展
- [超轻量图像识别系统概览](https://aistudio.baidu.com/aistudio/education/lessonvideo/1890318)
- 图像识别技术选型策略
- 图像识别技术选型策略
- 推理速度提升8倍的秘籍
- 四大典型行业应用案例
- 四大典型行业应用案例
- [SOTA模型炼丹秘诀](https://aistudio.baidu.com/aistudio/education/lessonvideo/1890323)
- CPU定制模型PP-LCNet优化思路
- Vison Transformer模型的应用拓展
- [商品识别产业痛点剖析](https://aistudio.baidu.com/aistudio/education/lessonvideo/1896890)
- 特征提取技术详解
- 向量快速检索揭秘
- 向量快速检索揭秘
- [手把手教你玩转图像识别](https://aistudio.baidu.com/aistudio/education/lessonvideo/1911507)
- 产业应用十问十答
- 产业应用十问十答
- 智能零售下的应用案例
- 识别系统快速落地方案



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在打开图像库或者新建图像库完成后,可以使用导入图像功能,即导入用户自己生成好的图像库。具体有支持两种导入格式

- image_list格式:打开具体的`.txt`文件。`.txt`文件中每一行格式: `image_path label`。跟据文件路径及label导入
- 多文件夹格式:打开`具体文件夹`,此文件夹下存储多个子文件夹,每个子文件夹名字为`label_name`,每个子文件夹中存储对应的图像数据。
- 多文件夹格式:打开`具体文件夹`,此文件夹下存储多个子文件夹,每个子文件夹名字为`label_name`,每个子文件夹中存储对应的图像数据。

<a name="1.4"></a>

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```shell
index_root/ # 库存储目录
|-- image_list.txt # 图像列表,每行:image_path label。由前端生成及修改,后端只读
|-- image_list.txt # 图像列表,每行:image_path label。由前端生成及修改,后端只读
|-- images # 图像存储目录,由前端生成及增删查等操作。后端只读
| |-- md5.jpg
| |-- md5.jpg
| |-- md5.jpg
| |-- md5.jpg
| |-- ……
|-- features.pkl # 建库之后,保存的embedding向量,后端生成,前端无需操作
|-- index # 真正的生成的index库存储目录,后端生成及操作,前端无需操作。
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- 问题4: 报错 图像与index库不一致

答:可能用户自己修改了image_list.txt,修改完成后,请及时更新index库,保证其一致。

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