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45 lines
1.9 KiB
Markdown
45 lines
1.9 KiB
Markdown
English | [简体中文](README_CN.md)
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# PP-Humanseg v1 Model Frontend Deployment
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## Model Version
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- [PP-HumanSeg Release/2.6](https://github.com/PaddlePaddle/PaddleSeg/blob/release/2.6/contrib/PP-HumanSeg/)
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## Deploy PP-Humanseg v1 Model on Frontend
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To deploy and use PP-Humanseg v1 model of web demo, please refer to [document](../../../../application/js/web_demo/README.md).
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## PP-Humanseg v1 js interface
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```
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import * as humanSeg from "@paddle-js-models/humanseg";
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# Load and initialise model
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await humanSeg.load(Config);
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# Portrait segmentation
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const res = humanSeg.getGrayValue(input)
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# Extract the binary map of portrait and background
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humanSeg.drawMask(res)
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# Visualization function for background replacement
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humanSeg.drawHumanSeg(res)
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# Blur background
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humanSeg.blurBackground(res)
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```
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**Parameters in function load()**
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> * **Config**(dict): Configuration parameter for PP-Humanseg model, default is {modelpath : 'https://paddlejs.bj.bcebos.com/models/fuse/humanseg/humanseg_398x224_fuse_activation/model.json', mean: [0.5, 0.5, 0.5], std: [0.5, 0.5, 0.5], enableLightModel: false}；modelPath is the default PP-Humanseg js model. Mean, std respectively represent the mean and standard deviation of the preprocessing, and enableLightModel represents whether to use a lighter model.
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**Parameters in function getGrayValue()**
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> * **input**(HTMLImageElement | HTMLVideoElement | HTMLCanvasElement): Input image parameter.
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**Parameters in function drawMask()**
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> * **seg_values**(number[]): Input parameter, generally the result of function getGrayValue is used as input.
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**Parameters in function blurBackground()**
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> * **seg_values**(number[]): Input parameter, generally the result of function getGrayValue is used as input.
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**Parameters in function drawHumanSeg()**
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> * **seg_values**(number[]): Input parameter, generally the result of function getGrayValue is used as input.
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