Baidu paddlejs uses the ready-made JavaScript model or transforms the paddle model to run in the browser.
Baidu paddlejs uses this loader to get the model to the browser. The model loader can load browser friendly JSON file types and binary file types, supports single file loading and file fragment loading, and Jida uses the characteristics of browser parallel request to load reasoning model.
## Demonstration
## Demonstration
At present, tiny Yolo model can run within 30ms for web project, which is enough for general real-time scenarios.
Create the paddy object, specify the add model address, add configuration parameters, and load the model through the load method.
## Browser coverage
``bash
* PC: Chrome
const MODEL_ADDRESS = {
* Mac: Chrome
dir: `/${path}/`, // 存放模型的文件夹
* Android: Baidu App and QQ Browser
main: 'model.json', // 主文件
};
const paddle = new Paddle({
urlConf: MODEL_ADDRESS,
options: {
multipart: true,
dataType: 'binary',
options: {
fileCount: n, // 切成了n文件
getFileName(i) { // 获取第i个文件的名称
return 'chunk_0.dat';
}
}
}
});
model = await paddle.load();
## Building deployment
```bash
cd web # Go to root
npm i # Installation dependency
mkdir dist # Create resource directory
cd dist # Enter resource directory
git clone https://github.com/DerekYangMing/Paddle-Web-Models.git # Get models
mv Paddle-Web-Models/separablemodel .# Move the model to the designated location
