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Emotion Recognition for In-the-wild Videos

Code for the seven basic expression classification track of Affective Behavior Analysis in-the-wild (ABAW) Competition held in conjunction with the IEEE International Conference on Automatic Face and Gesture Recognition (FG) 2020.

Requirements

  • Python3
  • PyTorch
  • TorchVision
  • NumPy
  • Aff-Wild2 Dataset
  • Pre-trained models (optional)

Downloads:

Modal files: link

Dataset: link

Training

Put train.py, face_imgs (from downloads, or use official cropped_aligned), pre-trained modal (optional), EXPR_Set (official annotation) under the same path.

python3 train.py

Testing

Put test.py, face_imgs (from downloads, or use official cropped_aligned), modal, expression_test_set.txt, frames.txt under the same path.

python3 test.py

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