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PP-Humanseg v1模型前端部署
模型版本说明
前端部署PP-Humanseg v1模型
PP-Humanseg v1模型web demo部署及使用参考文档
PP-Humanseg v1 js接口
import * as humanSeg from "@paddle-js-models/humanseg";
# 模型加载与初始化
await humanSeg.load(Config);
# 人像分割
const res = humanSeg.getGrayValue(input)
# 提取人像与背景的二值图
humanSeg.drawMask(res)
# 用于替换背景的可视化函数
humanSeg.drawHumanSeg(res)
# 背景虚化
humanSeg.blurBackground(res)
load()函数参数
- Config(dict): PP-Humanseg模型配置参数，默认为{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为默认的PP-Humanseg js模型，mean，std分别为预处理的均值和标准差，enableLightModel为是否使用更轻量的模型。
getGrayValue()函数参数
- input(HTMLImageElement | HTMLVideoElement | HTMLCanvasElement): 输入图像参数。
drawMask()函数参数
- seg_values(number[]): 输入参数，一般是getGrayValue函数计算的结果作为输入
blurBackground()函数参数
- seg_values(number[]): 输入参数，一般是getGrayValue函数计算的结果作为输入
drawHumanSeg()函数参数
- seg_values(number[]): 输入参数，一般是getGrayValue函数计算的结果作为输入