Xperience.AI

YOLOR

 

Object Detection on CPU & GPU

Summary

YOLOR is the latest State-Of-the-Art Object Detection Model that is better and faster than YOLOv4, Scaled YOLOv4, YOLOv5 and PP-YOLOv2!

In this tutorial I will show you how to install and run YOLOR Object Detection on images and video.

You can run this either on CPU or CUDA Supported GPU (Nvidia Only). I achieved 3 FPS on CPU and 15 FPS on GPU (1080Ti). We will implement using PyTorch.

Read the Paper Review HERE 


Win11 • Mac • Linux • Colab • PyTorch • GPU • CPU

Requirements

PC / Laptop

GET

WebCam

GET

GPU (Optional)

GET

Python Conda

INSTALL

Implementation

Download Files

Video Tutorial 

Google Colab

YOLOR Colab on Images & Video - Base Template
YOLOR Colab on Images & Video - Final
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