OpenCV 4 with Python Blueprints - Second Edition

Summary

Throughout this chapter, we have used an object detection network and combined it with a tracker to track and count objects over time. After reading through the chapter, you should now understand how detection networks work and understand their training mechanisms.

You have learned how you can import models built with other frameworks into OpenCV and bind them into an application that processes a video or uses other video streams such as your camera or a remote IP camera. You have implemented a simple, yet robust, algorithm for tracking, which, in combination with a robust detector network, allows the answering of multiple statistical questions related to video data.

You can now use and train object detection networks of your choice ...