# Face_AI_Application

**Repository Path**: NuLiing/Face_AI_Application

## Basic Information

- **Project Name**: Face_AI_Application
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: main
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2020-10-11
- **Last Updated**: 2020-12-19

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# A Complete Face AI Application, including Face Detection, Face Landmarks, Face Recognition, Face Attributes tasks using TensorFlow, Python, Flask.

## Overview
<image src="06_materials/App_intro.png" width =100% />
 
## Function Deoms
<table border="1">
 <tr>
    <td><b style="font-size:20px">Face detection</b></td>
    <td><b style="font-size:20px">Face landmarks</b></td>
 </tr>
 <tr>
    <td><image src="06_materials/01_face_detection.gif" width =100% /></td>
    <td><image src="06_materials/02_face_landmark.gif" width =100% /></td>
 </tr>
  <tr>
    <td><b style="font-size:20px">Face recognition</b></td>
    <td><b style="font-size:20px">Face attributes</b></td>
 </tr>
 <tr>
    <td><image src="06_materials/03_face_recognition.gif" width =100% /></td>
    <td><image src="06_materials/04_face_attributes.gif" width =100% /></td>
 </tr>
</table>

## Technologies used
1. Python
2. TensorFlow
    - Develop Deep Learning models
    - Train models
    - Test models
3. Flask
    - Run as the web server to commuicate with the application
4. WeChat Mini Program Development tool
    - HTML: Develop application content pages
    - JavaScript: intect with app on the Front-end

## Requirements
- Python 3.5
- TensorFlow 1.15