ANPR-YOLOv8

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This project utilizes YOLOv8 for the purpose of Automatic Number Plate Recognition (ANPR) in Iranian car license plates.

ANPR-YOLOv8 최신버젼 다운로드

최종 버전 다운로드 (.zip)

// repository documentation

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# ANPR-YOLOv8
### Automatic number plate recognition (Iranian)

### سامانه تشخیص پلاک ایرانی

# Results - نتایج
|  |  |
|----------|----------|
|<img src="files/11.png" alt="Image 2">|<img src="files/11_detected_chars.png" alt="Image 3">|
|<img src="files/3_.png" alt="Image 2">|<img src="files/3_detected_chars.png" alt="Image 3">|

# Dataset
You can download the dataset from my roboflow profile:
https://universe.roboflow.com/barzansaeedpour/anpr-iranian-2

You can also use the code in (download_dataset.py) to download it.

# How to use
1- create a virtual environment:
```
python -m venv env
```
2- Activate it:
```
env\Scripts\activate
```

4- install ultralytics:
```
pip install ultralytics
```

5- install pytorch with cuda support:

```
pip install torch --upgrade torchvision torchaudio --index-url https://download.pytorch.org/whl/cu118
```

6- Train the model
```
yolo task=detect mode=train epochs=50 data='dataset/data.yaml' model=yolov8m.pt imgsz=300 batch=2 
```

7- Test the model
```
yolo task=detect mode=predict model="runs/detect/train/weights/best.pt" save=True conf=0.3 source='dataset/test/images/'
```

## Truck scale results - Plate Localization (نمونه تشخیص قالب پلاک در باسکول)

|  |  |
|----------|----------|
|<img src="files/2.png" alt="Image 2">|<img src="files/6.png" alt="Image 6">|

## Truck scale results - Character Detection (نمونه تشخیص حروف پلاک در باسکول)

|  |  |
|----------|----------|
|<img src="files/00582.png" alt="Image 2">|<img src="files/00582_detected_chars.png" alt="Image 3">|

ANPR-YOLOv8

ANPR-YOLOv8 최신버젼 다운로드

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ANPR-YOLOv8

ANPR-YOLOv8 최신버젼 다운로드

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