Skip to content

Real-time number plate detection via YOLO V8: A swift, accurate system using advanced computer vision. Detects plates in live video feeds, aiding traffic control, law enforcement. Fast, precise, and pivotal for security, traffic management.

Adityaabhiram315/Real-time-number-plate-Detection-using-Yolo-V8-

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

7 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Automatic Number Plate + vechicle type Detection and Recognition using YOLOv8

download.mp4

Steps to run Code

  • Clone the repository
git clone https://github.com/MuhammadMoinFaisal/Automatic_Number_Plate_Detection_Recognition_YOLOv8.git
  • Goto the cloned folder.
cd Automatic_Number_Plate_Detection_Recognition_YOLOv8
  • Install the dependecies
pip install -e '.[dev]'

  • Setting the Directory.
cd ultralytics/yolo/v8/detect
  • Downloading a Weights from the Google Drive
gdown "https://drive.google.com/uc?id=1dIyJooVaowaNUj0R1Q-HUnu-utiGsEj8&confirm=t"
  • Downloading a Sample Video from the Google Drive
gdown "https://drive.google.com/uc?id=1P-oVR0J35Dw40lzw47sE19oADSW-tyb1&confirm=t"

  • Run the code with mentioned command below (For Licence Plate Detection).
python predict.py model='best.pt' source='demo.mp4'
  • For Licence Plate Detection and Recognition

  • Download the Updated predict.py file from the drive

gdown "https://drive.google.com/uc?id=1S6GkQcDq8W0ThaUeZ708UegHIRiVWzTo&confirm=t"
  • Run the code with mentioned command below (For Licence Plate Detection and Recognition).
python predict.py model='best.pt' source='demo.mp4'

RESULTS

Licence Plate Detection and Recognition

Licence Plate Detection and Recognition

About

Real-time number plate detection via YOLO V8: A swift, accurate system using advanced computer vision. Detects plates in live video feeds, aiding traffic control, law enforcement. Fast, precise, and pivotal for security, traffic management.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published