This is a guest post from Iulia Feroli, founder of the Back To Engineering YouTube community. In this tutorial, we build a live object detection app using TensorFlow and PyCharm, then deploy it onto ...

In our previous blog post in this series, we discussed state-of-the-art models for object detection: the architectures, the theory, and what makes YOLO12, YOLO26, and RF-DETR tick. If you want the ...

-note: There's issues as at July 2022 with newer gpus namely GeForce RTX 3090 & 2080 with the Pytorch Framework, hopefully in the future these issues can be resolved and a stable release can be made.

This project uses a Convolutional Neural Network (CNN) to automatically detect and track objects in real-time video feeds. The images used for training are annotated in yolov3 format with labelimg.