Lightweight facial emotion recognition.
- Pytorch implementation for Mini Xception inspired by Keras implementation.
- Model size is about
250KB
Trained by FER2013 dataset.
- Private Data : 66%
- Public Data : 64%
Here is the result of sample image.
Emotion | Probability | Guided Backprop | Grad-Cam | Guided Grad-Cam
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see here to prepare dataset.
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execute train.py
cd src
python train.py
python check.py #check.py supports cpu only