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xionghc/Facial-Expression-Recognition

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xionghc/Facial-Expression-Recognition has 683 GitHub stars and 195 forks. GitHot measured 0 stars in 24 hours. Last checked 2026-11-15 08:34 UTC. Last push 2020-11-30.

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About

Facial-Expression-Recognition in TensorFlow. Detecting faces in video and recognize the expression(emotion).

Machine Learning

README.md

Original

amazing

Opensource deep learning framework TensorFlow is used in Facial Expression Recognition(FER). The trained models achieved 65% accuracy in fer2013. If you like this, please give me a star.

Dependencies

FER requires:

Only tested in Ubuntu and macOS Sierra. Other platforms are not sure work well. When problems meet, open an issue, I'll do my best to solve that.

Usage

demo

To run the demo, just type:

python3 main.py

Then the program will creat a window to display the scene capture by webcamera. You need press SPACE key to capture face in current frame and recognize the facial expression.

If you just want to run this demo instead of training the model from scaratch, the following content can be skipped.

train models

If you want to train a model from scaratch by yourself, download the fer2013 datasets in kaggle(91.97MB). Then extract the data to data/fer2013 folder.

It's is import that modifying the MODE(in main.py) from demo to train before you start training. Then type:

python3 main.py

Issues & Suggestions

If any issues and suggestions to me, you can create an issue.