Description

Real time face emotion recognition using deep learning

In this deep learning projects, a deep learning model is used for prediction of expressions of both still images and real time video. However, in both the cases we have to provide image to the model. In case of real time video the image should be taken at any frame in time and feed it to the model for prediction of expression. The system automatically detects the face using HAAR cascade then its crops it and resize the image to a specific size and give it to the model for prediction. The model will generate seven probability values corresponding to seven expressions. The highest probability value to the corresponding expression will be the predicted expression for that image.

Demo Video

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