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thomas-yanxin 2022-03-14 12:05:09 +08:00 committed by GitHub
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@ -112,7 +112,7 @@ The processed dataset is now open source in [AIStudio](https://aistudio.baidu.co
**Attention**:
1. This experiment is based on GPU:Tesla V100* 4; CPU:Inter Xeon* 32; RAM:DDR4 128GB for training and testing;
2. The experiments are based on the above data set [Retail Product Characteristics Study Data Set] (https://aistudio.baidu.com/aistudio/datasetdetail/113685) for training and testing;
2. The experiments are based on the above data set [Retail Product Characteristics Study Data Set](https://aistudio.baidu.com/aistudio/datasetdetail/113685) for training and testing;
3. Evaluation of RP2K and other large open source data sets of retail products will be carried out soon.
@ -133,7 +133,7 @@ The processed dataset is now open source in [AIStudio](https://aistudio.baidu.co
python client.py
```
- For details of the image recognition part deployment, you can see [PP-ShiTu部署](https://github.com/PaddlePaddle/PaddleClas/blob/release/2.3/docs/zh_CN/inference_deployment/python_deploy.md#%E4%B8%BB%E4%BD%93%E6%A3%80%E6%B5%8B%E3%80%81%E7%89%B9%E5%BE%81%E6%8F%90%E5%8F%96%E5%92%8C%E5%90%91%E9%87%8F%E6%A3%80%E7%B4%A2%E4%B8%B2%E8%81%94)
- For details of the image recognition part deployment, you can see [PP-ShiTu Development](https://github.com/PaddlePaddle/PaddleClas/blob/release/2.3/docs/zh_CN/inference_deployment/python_deploy.md#%E4%B8%BB%E4%BD%93%E6%A3%80%E6%B5%8B%E3%80%81%E7%89%B9%E5%BE%81%E6%8F%90%E5%8F%96%E5%92%8C%E5%90%91%E9%87%8F%E6%A3%80%E7%B4%A2%E4%B8%B2%E8%81%94)
- Wechat applet
Open the wechat developer tool, import the AIContainer folder under the system folder and run it；