onurmx / emotion-recognition

Emotion recognition from facial images using convolutional neural networks.

emotion-recognition

Emotion recognition from facial images using convolutional neural networks.

Classifiers

Resnet, VGG-16, and Onsunet convolutional neural network architectures are used.

Libraries

PyTorch, TensorFlow libraries are used to implement convolutional neural networks. Each architecture has two variants for each libary.

PySide is used to provide graphical user interface to application.

Datasets

FER2013, KDEF, and CK+ datasets are used to train classifier. Each dataset is processed in both PyTorch and TensorFlow libraries.

Execution of the application

To execute the application, it is enough to run main.py file.

python main.py