Code Monkey home page Code Monkey logo

face-recogn-test's Introduction

Face Recognition Test

This is test for Face Recognition lib using DLIB + MKL + AVX Support through a flask app and a client.

Requirements

Docker and Docker-Compose installed and working.

HowToUse

Clone this repository and use the command docker-compose up -d inside the cloned folder to start the server.

After that, you just need to fire the client.py through the command:

    docker-compose exec face python client.py

How to change base image

Just overwrite the known/base.jpg (which is jonatahan goldsmith by default) file with the desired face.

How to test more images

Just put the desired images in the unknown dir.

face-recogn-test's People

Contributors

gcavalcante8808 avatar

Watchers

 avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.