Summary
Extraction is the first step of the training process. In this chapter, we examined the data that we will need in later steps as well as the process of extracting the required training data from the source images. We went hands-on with the process, using multiple AIs to detect and landmark faces and generate a mask, as well as the necessary steps to process and save that data.
The C5-face_detection.py file can process a directory of images. So, we covered how to convert a video into a directory of images and how to process that directory through the script. The script creates all the files you need for training and some interesting debug images that let you visualize each of the processes the detector uses to process the images. We then looked at the entire process, line by line, so that we knew exactly what was going on inside that script, learning not just what was being output, but exactly how that output was created.
After finishing the detection process, you can go...
