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Merge pull request #8030 from LDOUBLEV/dygraph
[doc] fix typo and refine doc for paddle.js deploy
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English| [简体中文](README_ch.md)
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English| [简体中文](README_ch.md)
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# Paddle.js
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# Paddle.js Introduction
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[Paddle.js](https://github.com/PaddlePaddle/Paddle.js) is a web project for Baidu PaddlePaddle, which is an open source deep learning framework running in the browser. Paddle.js can either load a pre-trained model, or transforming a model from paddle-hub with model transforming tools provided by Paddle.js. It could run in every browser with WebGL/WebGPU/WebAssembly supported. It could also run in Baidu Smartprogram and WX miniprogram.
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[Paddle.js](https://github.com/PaddlePaddle/Paddle.js) is a web project for Baidu PaddlePaddle, which is an open source deep learning framework running in the browser. Paddle.js can either load a pre-trained model, or transforming a model from paddle-hub with model transforming tools provided by Paddle.js. It could run in every browser with WebGL/WebGPU/WebAssembly supported. It could also run in Baidu Smartprogram and wechat miniprogram.
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## Web Demo
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Run OCR demo in browser refer to [tutorial](https://github.com/PaddlePaddle/FastDeploy/blob/develop/examples/application/js/WebDemo.md).
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|demo|web demo dicrctory|visualization|
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|-|-|-|
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|PP-OCRv3|[TextDetection、TextRecognition](https://github.com/PaddlePaddle/FastDeploy/tree/develop/examples/application/js/web_demo/src/pages/cv/ocr/)|<img src="https://user-images.githubusercontent.com/26592129/196874354-1b5eecb0-f273-403c-aa6c-4463bf6d78db.png" height="200px">|
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- [Online experience](https://paddlejs.baidu.com/ocr)
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- [Tutorial](https://github.com/PaddlePaddle/Paddle.js/blob/release/v2.2.3/packages/paddlejs-models/ocr/README_cn.md)
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- Visualization:
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## Mini Program Demo
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The Mini Program demo running tutorial eference
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Run OCR demo in wechat miniprogram refer to [tutorial](https://github.com/PaddlePaddle/FastDeploy/tree/develop/examples/application/js/mini_program).
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|demo|directory|
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|-|-|
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|Text Detection| [ocrdetecXcx](https://github.com/PaddlePaddle/FastDeploy/tree/develop/examples/application/js/mini_program/ocrdetectXcx/) |
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|Text Recognition| [ocrXcx](https://github.com/PaddlePaddle/FastDeploy/tree/develop/examples/application/js/mini_program/ocrXcx/) |
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<div align="center">
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<img src="./paddlejs_demo.gif" width="800">
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</div>
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</div>
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[Paddle.js](https://github.com/PaddlePaddle/Paddle.js) 是百度 PaddlePaddle 的 web 方向子项目,是一个运行在浏览器中的开源深度学习框架。Paddle.js 可以加载提前训练好的 paddle 模型,通过 Paddle.js 的模型转换工具 paddlejs-converter 变成浏览器友好的模型进行在线推理预测使用。目前,Paddle.js 可以在支持 WebGL/WebGPU/WebAssembly 的浏览器中运行,也可以在百度小程序和微信小程序环境下运行。
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- [在线体验](https://paddlejs.baidu.com/ocr)
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- [直达教程](https://github.com/PaddlePaddle/Paddle.js/blob/release/v2.2.3/packages/paddlejs-models/ocr/README_cn.md)
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## Web Demo使用
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在浏览器中直接运行官方OCR demo参考[教程](https://github.com/PaddlePaddle/FastDeploy/blob/develop/examples/application/js/WebDemo.md)
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|demo名称|web demo目录|可视化|
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|-|-|-|
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|PP-OCRv3|[TextDetection、TextRecognition](https://github.com/PaddlePaddle/FastDeploy/tree/develop/examples/application/js/web_demo/src/pages/cv/ocr/)|<img src="https://user-images.githubusercontent.com/26592129/196874354-1b5eecb0-f273-403c-aa6c-4463bf6d78db.png" height="200px">|
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## 微信小程序Demo使用
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在微信小程序运行官方demo参考[教程](https://github.com/PaddlePaddle/FastDeploy/tree/develop/examples/application/js/mini_program)
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|名称|目录|
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|-|-|
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|OCR文本检测| [ocrdetecXcx](https://github.com/PaddlePaddle/FastDeploy/tree/develop/examples/application/js/mini_program/ocrdetectXcx/) |
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|OCR文本识别| [ocrXcx](https://github.com/PaddlePaddle/FastDeploy/tree/develop/examples/application/js/mini_program/ocrXcx/) |
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- 效果:
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<div align="center">
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<img src="./paddlejs_demo.gif" width="800">
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</div>
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<img src="https://user-images.githubusercontent.com/26592129/197918203-c7d46f8a-75d4-47f9-9687-405ee0d6727e.gif" width="800">
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</div>
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# PP-OCRv3 文本检测模型训练
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- [1. 简介](#1)
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- [2. PPOCRv3检测训练](#2)
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- [3. 基于PPOCRv3检测的finetune训练](#3)
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- [2. PP-OCRv3检测训练](#2)
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- [3. 基于PP-OCRv3检测的finetune训练](#3)
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<a name="1"></a>
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## 1. 简介
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PP-OCRv3在PP-OCRv2的基础上进一步升级。本节介绍PP-OCRv3检测模型的训练步骤。有关PPOCRv3策略介绍参考[文档](./PP-OCRv3_introduction.md)。
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PP-OCRv3在PP-OCRv2的基础上进一步升级。本节介绍PP-OCRv3检测模型的训练步骤。有关PP-OCRv3策略介绍参考[文档](./PP-OCRv3_introduction.md)。
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<a name="2"></a>
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@ -55,10 +55,10 @@ python3 -m paddle.distributed.launch --gpus '0,1,2,3' tools/train.py -c configs/
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训练过程中保存的模型在output目录下,包含以下文件:
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```
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best_accuracy.states
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best_accuracy.states
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best_accuracy.pdparams # 默认保存最优精度的模型参数
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best_accuracy.pdopt # 默认保存最优精度的优化器相关参数
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latest.states
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latest.states
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latest.pdparams # 默认保存的最新模型参数
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latest.pdopt # 默认保存的最新模型的优化器相关参数
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```
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<a name="3"></a>
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## 3. 基于PPOCRv3检测finetune训练
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## 3. 基于PP-OCRv3检测finetune训练
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本节介绍如何使用PPOCRv3检测模型在其他场景上的finetune训练。
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本节介绍如何使用PP-OCRv3检测模型在其他场景上的finetune训练。
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finetune训练适用于三种场景:
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- 基于CML蒸馏方法的finetune训练,适用于教师模型在使用场景上精度高于PPOCRv3检测模型,且希望得到一个轻量检测模型。
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- 基于PPOCRv3轻量检测模型的finetune训练,无需训练教师模型,希望在PPOCRv3检测模型基础上提升使用场景上的精度。
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- 基于CML蒸馏方法的finetune训练,适用于教师模型在使用场景上精度高于PP-OCRv3检测模型,且希望得到一个轻量检测模型。
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- 基于PP-OCRv3轻量检测模型的finetune训练,无需训练教师模型,希望在PP-OCRv3检测模型基础上提升使用场景上的精度。
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- 基于DML蒸馏方法的finetune训练,适用于采用DML方法进一步提升精度的场景。
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**基于CML蒸馏方法的finetune训练**
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下载PPOCRv3训练模型:
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下载PP-OCRv3训练模型:
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```
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wget https://paddleocr.bj.bcebos.com/PP-OCRv3/chinese/ch_PP-OCRv3_det_distill_train.tar
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tar xf ch_PP-OCRv3_det_distill_train.tar
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Global.save_model_dir=./output/
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```
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**基于PPOCRv3轻量检测模型的finetune训练**
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**基于PP-OCRv3轻量检测模型的finetune训练**
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下载PPOCRv3训练模型,并提取Student结构的模型参数:
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下载PP-OCRv3训练模型,并提取Student结构的模型参数:
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```
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wget https://paddleocr.bj.bcebos.com/PP-OCRv3/chinese/ch_PP-OCRv3_det_distill_train.tar
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tar xf ch_PP-OCRv3_det_distill_train.tar
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Architecture.Models.Student2.pretrained=./teacher \
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Global.save_model_dir=./output/
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```
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