Completed tasks:
- Automated I/O of CK+ dataset
- Localized pre-processed VGG19 features of CK+ dataset for faster training
- Preliminary training of SVM with 327 labeled pictures from CK+ dataset
- Working on evaluating trained SVM
- Implemented real-time prediction with camera input
To-do:
- Evaluate performance of preliminary trained SVM
- Speed up real-time SVM prediction
- Improve accuracy of SVM prediction
- Include AffectNet dataset in SVM training
- Design report
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