# Automatic_Number_Plate_Detection_Recognition_YOLOv8
**Repository Path**: khm4288/Automatic_Number_Plate_Detection_Recognition_YOLOv8
## Basic Information
- **Project Name**: Automatic_Number_Plate_Detection_Recognition_YOLOv8
- **Description**: No description available
- **Primary Language**: Python
- **License**: Not specified
- **Default Branch**: main
- **Homepage**: None
- **GVP Project**: No
## Statistics
- **Stars**: 0
- **Forks**: 0
- **Created**: 2024-01-05
- **Last Updated**: 2024-01-05
## Categories & Tags
**Categories**: Uncategorized
**Tags**: None
## README
Automatic Number Plate Detection and Recognition using YOLOv8
## 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

### Watch the Complete Step by Step Explanation
- Video Tutorial Link [`YouTube Link`](https://www.youtube.com/watch?v=lkAJBSmIL50&t=5s)
[]([https://www.youtube.com/watch?v=StTqXEQ2l-Y](https://www.youtube.com/watch?v=lkAJBSmIL50))