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<img src="./image/background-img.png" width = "1080" height = "480"/>
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</div>
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<h1 > ColugoMum——Intelligent Retail Rettlement Platform</h1>
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-pink.svg)
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- [gitee 支持国产](https://gitee.com/E_Light/Smart_container)
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- [github](https://github.com/thomas-yanxin/Smart_container)
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> Remember to give it a **star**!
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English | [简体中文](./README_CN.md) | [gitee 支持国产](https://gitee.com/E_Light/Smart_container) | [github](https://github.com/thomas-yanxin/Smart_container)
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> Remember to give it a !
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## 😉Recent Update😉
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- **Release training code**:Publish model training code and experimental results for adaptive tuning;
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**Attention**:
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1. This experiment is based on GPU:Tesla V100* 4; CPU:Inter Xeon* 32; RAM:DDR4 128GB for training and testing;
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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;
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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;
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3. Evaluation of RP2K and other large open source data sets of retail products will be carried out soon.
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python client.py
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```
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- 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)
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- 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)
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- Wechat applet
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Open the wechat developer tool, import the AIContainer folder under the system folder and run it;
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## ❤️Welcome to build together❤️
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We welcome you to contribute code or provide suggestions for "**ColugoMum**". Whether you have a bug, fix a bug, or add a new feature, feel free to submit Issue or Pull Requests.
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