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@ -47,6 +47,7 @@
PaddleClas 的 Python 依赖库在 `requirements.txt` 中给出，可通过如下命令安装：
```shell
pip install --upgrade -r requirements.txt -i https://mirror.baidu.com/pypi/simple
```
@ -333,7 +334,7 @@ python3.7 python/predict_system.py -c configs/inference_general.yaml -o Global.i
待检索图像如下所示。
<div align="center">
<img src="../image/recognition_null_test.jpg" width = "400" />
<img src="../image/recognition_null_test.jpg" width = "600" />
</div>
@ -370,7 +371,7 @@ python3.7 python/predict_system.py -c configs/inference_general.yaml -o Global.i
由测试效果图可知，模型对于未参与训练的商品及多个商品均有较好的识别效果：
<!-- ![](../image/recognition_2.jpg) -->
<div align="center">
<img src="../image/recognition_2.jpg" width = "400" />
<img src="../image/recognition_2.jpg" width = "600" />
</div>
## 模型服务化部署
@ -454,10 +455,4 @@ python3 pipeline_http_client.py
具体可以参考：[袋鼯麻麻——智能购物平台](https://github.com/thomas-yanxin/Smart_container)
<!-- 1. 行业场景痛点和解决方案说明
2. 文档用词规范化
3. 数据集格式规划
4. 100% 准确率 - 再看一下是什么原因
5. 新入库- 新加入的商品品类如何更新索引库 效果如何
6. 优化思路和策略 - 优化方案如果没有特别好的思路可以若干
7. 部署方案的展示 - 速度如何 硬件参数对比 -->