Emotion_recognition_system

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Emotion_recognition_system

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It can recognise your mood using face detection

Emotion_recognition_system 최신버젼 다운로드

최종 버전 다운로드 (.zip)

// repository documentation

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##  Emotion😂😥😡😱 Recognition system [![](https://img.shields.io/github/license/sourcerer-io/hall-of-fame.svg)](https://github.com/Spidy20/Emotion_recognition_system/blob/master/LICENSE)

### Sourcerer
<a href="https://sourcerer.io/spidy20"><img src="https://avatars2.githubusercontent.com/u/42056100?v=4" height="50px" width="50px" alt=""/></a>

### Code Requirements
- Tensorflow
  Installation code:- `pip install tensorflow`
- Download my repository
- Own Expression dataset(Note: You can downlaod expression images from google, or you can record your video make diffrent expression ,and
  converts into Grayscale images(For more accurate prediction))

### What steps you have to follow??
- Download my repository 
- Make `Images` folder in your project ,make subfolder for emotions like Happy,sad,Angry.
- Put `Face_crop.py` & `haarcascade_frontalface_alt.xml` in every type of image folder,ex : put this program in "happy' image folder and 
  run this program it will detect faces from images and convert it into grayscale and make a new images in same folder.
- After that you have to create model, for that copy code from code.txt file and open CMD in your project folder and paste it & enter
- It will take training aaround 20-25 minutes so keep patience.
- After training it will create two files `retrained_graph.pb` & `retrained_labels.txt`
- Now run `recognition_webcam.py`.
- If you want to fetch video from your mobile cam than use `android_recognition.py`,but you have to install IPWebcam app in your system
  and replace your server URL with my URL
- That's all

### How it works? See:)

### Notes
- It will require high processing power(I have 8 GB RAM & 2 GB GC)
- If you think it will recognise expression just like humans,than leave it ,its not possible.
- Download 300 Images for every expression(you can use batch downloader)
- Noisy image can reduce your accuracy so quality of images matter.

## Just follow☝️ me and Star⭐ my repository

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