Skip to content

A FER project done in the context of McGill's COMP 558 class. Salient feature isolation, feature extraction, and feature classification are all done in this project.

Notifications You must be signed in to change notification settings

Eerohne/FacialExpressionRecognition

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

42 Commits
 
 
 
 
 
 
 
 
 
 

Repository files navigation

FacialExpressionRecognition

A FER project done in the context of McGill's COMP 558 class. Salient feature isolation, feature extraction, and feature classification are all done in this project.

Get started

Required installations

pip install numpy

pip install opencv-contrib-python

For landmark detection: dlib

pip install cmake

pip install dlib

For feature extraction and classification

pip install scikit-learn

pip install scikit-image

Using requirements.txt

pip install -r requirements.txt

Documentation

https://docs.opencv.org/4.x/

Additional resources

Youtube tutorial: https://www.youtube.com/watch?v=oXlwWbU8l2o&ab_channel=freeCodeCamp.org

About

A FER project done in the context of McGill's COMP 558 class. Salient feature isolation, feature extraction, and feature classification are all done in this project.

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published