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Check out the documentation for more information.
FER-CNN
Facial Emotion Recognition Convolutional Neural Network
Trained on FER2013, RAF-DB, and AffectNet. Merges all into a unified training pipeline. Uses a ResNet-style CNN with SE attention, Mixup, label smoothing, cosine annealing, and comprehensive graphical statistics. Accuracy - 56.71% Usage - Use
python predict.py path/to/image.jpg
for making predictions using pretrained model Use
python predict.py path/to/image.jpg
for training the model from scratch
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