Summary

In this chapter, we looked at how to develop the face detection application using the face_recognition library, which uses the HOG-based model to identify the faces in the images. We have also used the pre-trained convolutional neural network, which identifies the faces from a given image. We developed real-time face recognition to detect the names of people. For face recognition, we used a pre-trained model and already available libraries. In the second part of the chapter, we developed the face emotion recognition application, which can detect seven major emotions a human face can carry. We used TensorFlow, OpenCV, TFLearn, and Keras in order to build the face emotion recognition model. This model has fairly good accuracy for predicting ...

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