License-plate-detection

This project using yolov3 to detection license plate in street using repo : https://github.com/ultralytics/yolov3

Description

Python 3.7 or later with the following pip3 install -U -r requirements.txt packages:

• numpy

• torch >= 1.0.0

• opencv-python

• tqdm

  Data

• Data training :3600 images (size 1000x2000)

• Data test : 900 images

  How to training

• Start Training: Run train.py --cfg cfg/yolov3.cfg --img-size 416

  Inference

• Run detect.py to apply trained weights to an image, such as car.jpg from the test folder.

• Link weight : https://drive.google.com/file/d/1hTH0Qj-fpxMnqnSzRTq64KPwkrPnGxsJ/view?usp=sharing

Some demo

Webcam

• Run detect.py with webcam=True to show a live webcam feed.

Test

• • Use test.py --weights weights/weight.pt to test YOLOv3 weights.

    mAP

• MAP YOLOv3-416 : 97