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‎.gitignore

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# Logs
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logs
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*.log
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npm-debug.log*
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yarn-debug.log*
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yarn-error.log*
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lerna-debug.log*
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# Diagnostic reports (https://nodejs.org/api/report.html)
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report.[0-9]*.[0-9]*.[0-9]*.[0-9]*.json
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# Runtime data
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pids
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*.pid
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*.seed
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*.pid.lock
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# Directory for instrumented libs generated by jscoverage/JSCover
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lib-cov
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# Coverage directory used by tools like istanbul
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coverage
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*.lcov
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# nyc test coverage
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.nyc_output
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# Grunt intermediate storage (https://gruntjs.com/creating-plugins#storing-task-files)
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.grunt
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# Bower dependency directory (https://bower.io/)
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bower_components
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# node-waf configuration
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.lock-wscript
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# Compiled binary addons (https://nodejs.org/api/addons.html)
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build/Release
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# Dependency directories
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node_modules/
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jspm_packages/
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# TypeScript v1 declaration files
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typings/
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# TypeScript cache
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*.tsbuildinfo
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# Optional npm cache directory
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.npm
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# Optional eslint cache
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.eslintcache
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# Microbundle cache
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.rpt2_cache/
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.rts2_cache_cjs/
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.rts2_cache_es/
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.rts2_cache_umd/
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# Optional REPL history
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.node_repl_history
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# Output of 'npm pack'
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*.tgz
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# Yarn Integrity file
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.yarn-integrity
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# dotenv environment variables file
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.env
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.env.test
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# parcel-bundler cache (https://parceljs.org/)
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.cache
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# Next.js build output
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.next
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# Nuxt.js build / generate output
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.nuxt
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# Gatsby files
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.cache/
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# Comment in the public line in if your project uses Gatsby and *not* Next.js
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# https://nextjs.org/blog/next-9-1#public-directory-support
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# public
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# vuepress build output
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.vuepress/dist
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# Serverless directories
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.serverless/
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# FuseBox cache
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.fusebox/
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# DynamoDB Local files
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.dynamodb/
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# TernJS port file
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.tern-port

‎LICENSE

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MIT License
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Copyright (c) 2021 gitguanqi
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Permission is hereby granted, free of charge, to any person obtaining a copy
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of this software and associated documentation files (the "Software"), to deal
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in the Software without restriction, including without limitation the rights
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to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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copies of the Software, and to permit persons to whom the Software is
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furnished to do so, subject to the following conditions:
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The above copyright notice and this permission notice shall be included in all
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copies or substantial portions of the Software.
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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SOFTWARE.

‎README.md

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<div align="center">
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<img alt="kby-face" src="https://github.com/kby-ai/FaceRecognition-Javascript/assets/82228271/cab95553-8881-41ca-b37d-a0606877c942" width="300" width="300">
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</div>
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<div align="left">
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<img src="https://cdn.rawgit.com/sindresorhus/awesome/d7305f38d29fed78fa85652e3a63e154dd8e8829/media/badge.svg" alt="Awesome Badge"/>
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<img src="https://img.shields.io/static/v1?label=%F0%9F%8C%9F&message=If%20Useful&style=style=flat&color=BC4E99" alt="Star Badge"/>
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<img src="https://img.shields.io/github/issues/genderev/assassin" alt="issue"/>
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<img src="https://img.shields.io/github/issues-pr/genderev/assassin" alt="pr"/>
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</div>
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<details open>
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<summary><h2>How it works</h2></summary>
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</details>
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<details open>
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<summary><h2>Installation</h2></summary>
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```bash
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npm install kby-face
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```
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</details>
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<details open>
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<summary><h2>Table of Contents</h2></summary>
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* **[Face Detection](#face-detection)**
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* **[Face Landmark Extraction](#face-landmark-extraction)**
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* **[Face Liveness Detection](#face-expression-detection)**
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* **[Face Expression Detection](#face-expression-detection)**
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* **[Face Pose Estimation](#face-pose-estimation)**
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* **[Eye Closeness Detection](#eye-closeness-detection)**
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* **[Gender Detection](#gender-detection)**
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* **[Age Detection](#age-detection)**
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* **[Face Feature Embedding](#face-recognition)**
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</details>
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<details open>
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<summary><h2>Examples</h2></summary>
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https://user-images.githubusercontent.com/82228271/187199680-208c7995-21b1-48d7-8758-3977452ff955.mp4
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* [Vue.js Demo](https://github.com/AI-Innovator/Face-Recognition-SDK-Demo-Vue)
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* [React.js Demo](https://github.com/AI-Innovator/Face-Recognition-SDK-Demo-React)
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[**Please subscribe on Youtube channel**]
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<a href="http://www.youtube.com/watch?feature=player_embedded&v=1aogUPLjdtw" target="_blank">
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<img src="http://img.youtube.com/vi/1aogUPLjdtw/maxresdefault.jpg" alt="Watch the video" width="960" height="520" border="10" />
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</a>
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</details>
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<details>
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<summary><h2>Documentation</h2></summary>
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Here are some useful documentation
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<a name="face-detection"></a>
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### Face Detection
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Load detection model
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```
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loadDetectionModel()
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```
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Detect face in the image
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```
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detectFace(session, canvas_id)
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```
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<a name="face-landmark-extraction"></a>
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### Face Landmark Extraction
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Load landmark extraction model
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```
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loadLandmarkModel()
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```
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Extract face landmark in the image using detection result
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```
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predictLandmark(session, canvas_id, bbox)
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```
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<a name="face-liveness-detection"></a>
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### Face Liveness Detection
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Load liveness detection model
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```
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loadLivenessModel()
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```
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Detect face liveness in the image using detection result. (Anti-spoofing)
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```
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predictLiveness(session, canvas_id, bbox)
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```
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<a name="face-expression-detection"></a>
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### Face Expression Detection
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Load expression detection model
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```
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loadExpressionModel()
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```
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Detect face expression
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```
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predictExpression(session, canvas_id, bbox)
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```
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<a name="face-pose-estimation"></a>
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### Face Pose Estimation
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Load pose estimation model
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```
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loadPoseModel()
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```
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Predict facial pose
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```
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predictPose(session, canvas_id, bbox, question)
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```
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<a name="eye-closeness-detection"></a>
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### Eye Closeness Detection
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Load eye closeness model
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```
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loadEyeModel()
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```
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Predict eye closeness
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```
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predictEye(session, canvas_id, landmark)
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```
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<a name="gender-detection"></a>
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### Gender Detection
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Load gender detection model
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```
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loadGenderModel()
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```
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Predict gender using face image
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```
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predictGender(session, canvas_id, landmark)
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```
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<a name="age-detection"></a>
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### Age Detection
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Load age detection model
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```
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loadAgeModel()
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```
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Predict age using face image
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```
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predictAge(session, canvas_id, landmark)
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```
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<a name="face-recognition"></a>
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### Face Recognition
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Load feature extraction model
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```
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loadFeatureModel()
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```
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Extract face feature vector in 512 dimension
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```
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extractFeature(session, canvas_id, landmarks)
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```
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</details>
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‎add.test.js

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const add = require('./index.js').add;
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test('adds 1 + 2 to equal 3', () => {
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expect(add(1,2)).toBe(3);
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})

‎index.js

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export * from "./lib/fr_detect";
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export * from "./lib/fr_expression";
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export * from "./lib/fr_eye";
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export * from "./lib/fr_landmark";
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export * from "./lib/fr_liveness";
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export * from "./lib/fr_pose";
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export * from "./lib/fr_age";
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export * from "./lib/fr_gender";
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export * from "./lib/fr_feature";
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export * from "./lib/load_opencv";

‎js/opencv.js

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‎js/opencv_js.js

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‎js/opencv_js.wasm

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‎lib/download.js

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export const download = (url, logger = null) => {
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return new Promise((resolve, reject) => {
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const request = new XMLHttpRequest();
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request.open("GET", url, true);
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request.responseType = "arraybuffer";
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if (logger) {
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const [log, setState] = logger;
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request.onprogress = (e) => {
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const progress = (e.loaded / e.total) * 100;
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setState({ text: log, progress: progress.toFixed(2) });
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};
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}
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request.onload = function () {
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if (this.status >= 200 && this.status < 300) {
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resolve(request.response);
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} else {
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reject({
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status: this.status,
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statusText: request.statusText,
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});
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}
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resolve(request.response);
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};
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request.onerror = function () {
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reject({
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status: this.status,
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statusText: request.statusText,
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});
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};
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request.send();
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});
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};

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