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.
FER requires:
- Python (>= 3.3)
- TensorFlow (>= 1.1.0) Installation
- OpenCV (python3-version) Installation
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.
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.
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
If any issues and suggestions to me, you can create an issue.
![](https://raw.githubusercontent.com/gitliber/Basic_self_driving_car/master/LinkProf.jpeg)