Skip to content

YOLO is a state-of-the-art, real-time object detection algorithm. In this notebook, I had applied the YOLO algorithm to detect objects in images ,videos and webcam

Notifications You must be signed in to change notification settings

MuntahaShams/Object-detection-using-YOLOv3

Repository files navigation

Object-detection-using-YOLOv3

This project implements an image and video object detection classifier using pretrained yolov3 models. The yolov3 models are taken from the official yolov3 paper which was released in 2018. The yolov3 implementation is from darknet. Also, this project implements an option to perform classification real-time using the webcam.

How to use?

  1. Clone the repository
git clone https:https://github.com/MuntahaShams/Object-detection-using-YOLO.git
  1. Move to the directory
cd Object-detection-using-YOLO
jupyter notebook
  1. download yolov3 weights and place it inside weights directory YOLOv3 Pre-trained Model Weights (yolov3.weights)(237 MB)

  2. To infer on a image

run imgae.ipnyb notebook
  1. To infer on a video
run video.ipnyb notebook
  1. To infer real-time on webcam
run webcam.ipnyb notebook

About

YOLO is a state-of-the-art, real-time object detection algorithm. In this notebook, I had applied the YOLO algorithm to detect objects in images ,videos and webcam

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published