Planning the app

The final app will consist of a main script that integrates the process flow end-to-end, from face detection to facial expression recognition, as well as some utility functions to help along the way.

Thus, the end product will require several components:

• chapter7: The main script and entry-point for the chapter.

• chapter7.FaceLayout: A custom layout based on gui.BaseLayout that operates in two different modes:

  • Training mode: In the training mode, the app will collect image frames, detect a face therein, assign a label depending on the facial expression, and upon exiting, save all the collected data samples in a file, so that it can be parsed by datasets.homebrew.

  • Testing mode: In the testing mode, the app will detect a face in each video frame and predict the corresponding class label by using a pre-trained MLP.

• chapter3.main: The main function routine to start the GUI application.

• detectors.FaceDetector: A class for face detection.

  • detect: A method to detect faces in a grayscale...