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How to use matchFace method in root

Best JavaScript code snippet using root

service.js

Source:service.js

1import request from '../../api/api';2import qs from 'qs';3const image_type = 'BASE64';4async function matchFace({stu_base64, imgUrl}) {5  const option = {6    method: 'POST',7    headers: {8      'Content-Type': 'application/json',9    },10    body: JSON.stringify({11      img1: {12        image: stu_base64,13        image_type,14        face_type: 'CERT',15      },16      img2: {17        image: imgUrl,18        image_type,19        face_type: 'LIVE',20      },21    }),22  };23  return await request('/student/faceset/match', option);24}25async function addRecord({26  lesson_id,27  stu_id,28  attendance_time,29  attendance_lat,30  attendance_lng,31  attendance_status = 0,32}) {33  return request('/student/record', {34    method: 'POST',35    headers: {36      'Content-Type': 'application/json',37    },38    body: JSON.stringify({39      lesson_id,40      stu_id,41      attendance_time,42      attendance_lat,43      attendance_lng,44      attendance_status,45    }),46  });47}48export async function searchByFace({49  stu_id,50  imgUrl,51  lesson_id,52  attendance_time,53  attendance_lat,54  attendance_lng,55}) {56  const {57    success: success1,58    data: {stu_base64},59  } = await request(`/student/face?${qs.stringify({stu_id})}`);60  if (success1) {61    const {62      success: success2,63      data: {64        result: {score},65      },66    } = await matchFace({stu_base64, imgUrl});67    if (success2 && parseInt(score) >= 80) {68      const {success} = await addRecord({69        lesson_id,70        stu_id,71        attendance_time,72        attendance_lat,73        attendance_lng,74      });75      if (success) {76        return {77          success: true,78          message: 'æå¡æå',79        };80      }...

userRouter.js

Source:userRouter.js

1// Requiring functions from controller2const { signup, login,upload,getListFiles,download, matchFace } = require("../controllers/userController");3const router = require("express").Router();4// SignUp5router.post("/signup", signup);6// Login7router.post("/login", login);8//Uploading files by user9router.post("/upload", upload);10//fetch all files uploaded11router.get("/files",  getListFiles);12// download any file uploaded by user13router.get("/files/:name",download);14router.get("/matchface",matchFace)...

Using AI Code Generation

1var matchFace = require('./matchFace');2var express = require('express');3var app = express();4var bodyParser = require('body-parser');5var fs = require('fs');6var multer = require('multer');7var upload = multer({ dest: 'uploads/' });8var path = require('path');9app.use(bodyParser.json());10app.post('/upload', upload.single('file'), function(req, res, next) {11    var filePath = path.join(__dirname, req.file.path);12    matchFace(filePath, function(err, data) {13        if (err) {14            res.send(err);15        } else {16            res.send(data);17        }18    });19});20app.listen(3000, function() {21    console.log('Example app listening on port 3000!');22});23    at exports._errnoException (util.js:1018:11)24    at Process.ChildProcess._handle.onexit (internal/child_process.js:193:32)25    at onErrorNT (internal/child_process.js:359:16)26    at _combinedTickCallback (internal/process/next_tick.js:74:11)27    at process._tickCallback (internal/process/next_tick.js:98:9)

Using AI Code Generation

1var root = require('root');2root.matchFace("test.png", function(err, result) {3  if (err) {4    console.log(err);5  } else {6    console.log(result);7  }8});

Using AI Code Generation

1var matchFace = require('matchFace');2  if(err){3    console.log("error: "+err);4  }else{5    console.log("result: "+result);6  }7});

Using AI Code Generation

1var root = require('./root');2var rootObj = new root();3var path = './images';4var result = rootObj.matchFace(path);5console.log(result);6This project is licensed under the MIT License - see the [LICENSE.md](LICENSE.md) file for details7* [face-recognition](

Using AI Code Generation

1var root = require('../index');2var image = root.loadImage('image.jpg');3var face = root.loadFace('face.jpg');4var result = root.matchFace(image,face);5console.log(result);6var face = require('./face');7exports.matchFace = function(image,face){8    return face.matchFace(image,face);9}10var image = require('./image');11var algorithm = require('./algorithm');12exports.matchFace = function(image,face){13    var faceImage = image.loadImage(face);14    var image = image.loadImage(image);15    var result = algorithm.matchFace(faceImage,image);16    return result;17}18var image = require('image');19exports.loadImage = function(image){20    var image = image.loadImage(image);21    return image;22}23var algorithm = require('algorithm');24exports.matchFace = function(faceImage,image){25    var result = algorithm.matchFace(faceImage,image);26    return result;27}

Using AI Code Generation

1const faceMatch = require('./root.js');2faceMatch.matchFace(image1, image2)3.then(function(response){4    console.log(response);5})6.catch(function(error){7    console.log(error);8});

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