The first part of the TensorFlow Object detection tutorial begins with installing drivers, packages, preparing files, and starting our first example.

In this tutorial, we'll review three methods of grabbing our computer screen, and we will choose the best one to use for our further development

In this tutorial, we'll merge Object detection API exported code with our grab screen code, and we will try to detect objects on our screen

In this tutorial, we'll make our code from tutorial part 3 work much faster by modifying our while loop

In this part and a few in the future, we're going to cover how we can track and detect our own custom objects

In this part, we're going to export inference graph and detect our own custom objects

In this part, we're going to change our code, that we could detect enemies, move our mouse and shoot them.

In this tutorial, I will show you how to export a faster newly trained model and we’ll test it out

In this tutorial, I will show you how to faster grab your computer screen with python multiprocessing on the MSS library

In this tutorial, I will merge multiprocessing code with TensorFlow object detection code to maximize FPS performance