56 lines
2.1 KiB
Markdown
56 lines
2.1 KiB
Markdown
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# Paddle.js
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Paddle.js是百度Paddle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，或者将paddle hub中的模型通过paddle.js的模型转换工具变成浏览器友好的模型进行在线推理预测使用。目前，paddle.js仅可以在支持webGL的浏览器中运行。
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## 主要特点
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### Modular
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Web project is built on Atom system which is a versatile framework to support GPGPU operation on WebGL. It is quite modular and could be used to make computation tasks faster by utilizing WebGL.
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### 浏览器覆盖范围
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* PC: Chrome(windows, mac, ubuntu)
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* Android: Baidu App, chrome and QQ Browser
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* safari: Baidu App and safari
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### 支持的操作
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Currently Paddle.js only supports a limited set of Paddle Ops. See the full list. If your model uses unsupported ops, the Paddle.js script will fail and produce a list of the unsupported ops in your model. Please file issues to let us know what ops you need support with.
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目前，Paddle.js只支持有限的一组算子操作。如果您的模型使用不支持的操作，那么padde.js将运行失败，如果您的模型中存在不支持的op操作的列表。请提出问题，让我们知道你需要支持。
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[查看完整列表](./src/factory/fshader/README.md)
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## 加载和运行模型
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如果原始模型是浏览器友好的model格式, 使用 paddle.load()接在模型。
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```bash
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import {runner as Paddlejs} from 'paddlejs';
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const paddlejs = new Paddlejs({
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modelPath: 'model/mobilenetv2', // model path
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fileCount: 4, // model data file count
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feedShape: { // input shape
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fw: 256,
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fh: 256
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},
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fetchShape: [1, 1, 1920, 10], // output shape
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fill: '#fff', // fill color when resize image
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needBatch: true, // whether need to complete the shape to 4 dimension
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inputType: 'image' // whether is image or video
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});
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// load paddlejs model and preheat
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await paddlejs.loadModel();
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// run model
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await paddlejs.predict(img, postProcess);
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function postProcee(data) {
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// data is predicted result
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console.log(data);
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}
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```
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