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Author: Admin | 2025-04-28
All set to run You Only Look Once on our machine.YOLOv4Developed by Alexey Bochkovskiy, Chien-Yao Wang, and Hong-Yuan Mark Liao YOLOv4 is an object-detection system in real-time which recognises various objects in a single enclosure. The real-time recognition system could recognise several objects from a particular image, frame a confined-edge box nearby objects, and be quickly trained and implemented in a production system.There are very few implementations of the YOLO algorithm that exists on the web. The Darknet is one such open-source neural network framework written in C and CUDA and serves as the basis of YOLO. Darknet is used as the framework for training YOLO, meaning it sets the architecture of the network. The first author of Darknet is the author of YOLO itself, Joseph Ched Redmon.To run YOLOv4 on your system, follow these steps:Create a directory for yolov4 and clone the github repository in it. To do this, open a terminal in the directory and run $ git clone https://github.com/AlexeyAB/darknet.git .Access the darknet folder through terminal and edit the Makefile using the command$ gedit Makefile . Change the values of GPU, CUDNN and OPENCV to 1. Scroll down and comment the default ARCH values and uncomment the ARCH values that match your GPU config. In my case, it was such:Makefile configuration for running inference in YOLOv4 in my local system with GTX 1650 GPU. You can drop the general ARCH= (the first one) and only uncomment ARCH= for your graphics card. Image by author.After making required changes in
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