FaceEmotionRecognition

Here we use to do face emotion recognition with the help of keras and opencv you can find code and preprocessing techniques

It is fully develpoed for Face Emotion recognition with help of the computer vision and CNN

How to Use it?

To use this code just we need to install some packages from pypi library

Download repo or clone the repo

git clone https://github.com/saichandrareddy1/FaceEmotionRecognition.git 

The above thing is buy using HTTPS we are going to clone the data into the ubuntu

for windows download the repo or by using wget we can get it, if it not present install it by using https://builtvisible.com/download-your-website-with-wget/

wget https://github.com/saichandrareddy1/FaceEmotionRecognition.git

Prerequisites **

1.We need Python 3.x idle or Anaconda
2.Need all the libraries 
  1.numpy
  2.matplotlib
  3.seaborn
  4.pandas
  5.opencv
  6.keras backend tensorflow

How to install all the prerequisites

Just run the below command mostly this is for the python idle or Anaconda

sudo apt install python3-pip  # if no pip is present

sudo pip3 install -r requirements.txt
or
pip3 install -r requirements.txt

Manual installation for Anaconda

In anaconda numpy, matplotlib, pandas are pre-installed or if it not installed in your envirolment use below commands

conda install -c conda-forge numpy
conda install -c conda-forge matplotlib
conda install -c conda-forge seaborn
conda install -c anaconda pandas
conda install -c conda-forge opencv

#GPU TENSORFLOW installation
conda install -c anaconda tensorflow-gpu
conda install -c anaconda keras-gpu

#CPU 
conda install -c anaconda tensorflow
conda install -c anaconda keras

Manual installation using pip command on CMD windows or Ubuntu

================WINDOWS===================

 pip3 install numpy
 pip3 install pandas 
 pip3 install matplotlib.pyplot
 pip3 install seaborn
 pip3 install python3-opencv
 
 #GPU
 pip3 install tensorflow-gpu
 pip3 install keras
 
 #CPU
 pip3 install tensorflow
 pip3 install keras

====================UBUNTU==============================

sudo apt install python3-pip
sudo pip3 install numpy
sudo pip3 install pandas
sudo pip3 install matplotlib
sudo pip3 install seaborn
sudo pip3 install opencv

#GPU
sudo pip3 install tensorflow-gpu
sudo pip3 install keras

#CPU
sudo pip3 install keras
sudo pip3 install tensorflow

Regarding using Sudo apt did you get any errors please try to use sudo apt-get command

If you get any errors while installation please report on the issues

How play with the model and the preprocessing code

Here if you are intered you can uodate the preprocessing code and the model also

Working of the model

you can get the data from the this link https://drive.google.com/open?id=1sN0TtZ3LGTh2M15Zy-xB0tl1gGtfxtNT

Model file

you can model.hdf5 file from this link https://drive.google.com/open?id=1q29tJlE81i7dAToResbGMjszkLQE1V5j

Running the model

just open your CMD or Terminal run this command

python3 app.py

after running the command you can see all the files like

1.csv_data.csv
2.foo.png
3.bar.png

Final results

Video

after running you can see Live Graphs

Pie Charts In detail

Bar Graphs

Authors

1. Sai Chandra Reddy
Email:- [email protected]
2. Nayeem
Email - [email protected]
3. Mastan
Email - [email protected]
4. Lokesh
Email - [email protected]
5. Harish
Email - [email protected]

Mentor

Dr. Parminder Singh
Associate Professor from Lovely Professional University, Phagwara, punjab, INDIA
Email:- [email protected]

Security Policy

Supported Versions

This project is supported for the

Version	Supported
python 3.6	✅
python 3.7	✅
python 3.8	❌
tensorflow < 2.0	✅
tensorflow > 2.0	❌
keras 2.3.0+	✅
keras 2.3.0 <	Not_checked

Tesing of the os

Tested	Supported
Ubuntu 18.04	✅
windows 10	✅
MacOS	❌
Pop_os 18.04	✅
RedHat	Not_checked

Reporting a Vulnerability

If you see any Vulnerability in code or while runnig time please push me a request or inform on ISSUES

LICENSE

This repo is under GPL license if need to know more please check LICENSE.md