First part of TensorFlow Object detection tutorial, where we begin with installing drivers, packages, preparing files and starting our first example.
Grab Screen tutorial
In this tutorial we'll review 3 methods of grabing our computer screen, and we will choose the best one to use for our further development.
Object detection in screen
In this tutorial we'll merge Object detection API exported code with our grab screen code and we will try to detect object on our screen.
Fast Object detection
In this tutorial we'll make our code from tutorial part 3 work much faster by modifying our while loop.
Custom Object detection
In this part and few in future, we're going to cover how we can track and detect our own custom objects.
CSGO Object detection
In this part, we're going to export inference graph and detect our own custom objects.
CSGO aim bot
In this part, we're going to change our code, that we could detect enemies, move our mouse and shoot them.
Faster CSGO aim bot
In this tutorial I will show you how to export faster newly trained model and we'll test it out.
Grab screen with multiprocessings
In this tutorial I will show you how to faster grab your computer screen with python multiprocessing on MSS library.