https://github.com/youhaveme9/detection-notification-sns-processing

License plate detection model and sns processing for ethos 2022
https://github.com/youhaveme9/detection-notification-sns-processing

jupyter-notebook object-detection opencv python pytorch sqlalchemy tesseract-ocr yolov5

Last synced: about 2 months ago
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License plate detection model and sns processing for ethos 2022

• Host: GitHub
• URL: https://github.com/youhaveme9/detection-notification-sns-processing
• Owner: youhaveme9
• Created: 2023-01-08T12:16:53.000Z (almost 2 years ago)
• Default Branch: main
• Last Pushed: 2023-05-19T04:04:58.000Z (over 1 year ago)
• Last Synced: 2024-11-10T15:47:58.972Z (about 2 months ago)
• Topics: jupyter-notebook, object-detection, opencv, python, pytorch, sqlalchemy, tesseract-ocr, yolov5
• Language: Python
• Homepage:
• Size: 26.6 MB
• Stars: 3
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# License Plate number detection and notification system for Smart Naka

For ethos 2022 IIT Guwahati

## How to run on local system? 

1. Clone the repo


```git

git clone https://github.com/Roshaen/detection-notification-sns-processing.git

```

2. Create virtual enviroment


```bash

python -m venv env

```

```bash

source env/bin/activate

```

3. Install required dependencies 


```bash

pip install -r requirements.txt

```

 4. Clone yolov5 repo and install dependencies


```bash

git clone https://github.com/ultralytics/yolov5.git  

cd yolov5

pip install -r requirements.txt

cd ..

```

 5. Add pytesseract to the system path 

 Refer this link - https://pypi.org/project/pytesseract for pytesseract installation


 6. Run main.py 


```bash 

python3 main.py

```