Detect car license plates using PyTorch and detectron2. The model is trained on a custom dataset of license plates created by hand annotating image search results.

This repository contains the full dataset and annotations, along with the source code for training and testing.

• [Optional] Create new virtual environment using pyenv-virtualenv.

pyenv virtualenv detectron2-license-plate-detection-env
pyenv activate detectron2-license-plate-detection-env

• Install required packages using pip.

pip install -r requirements.txt

• Run training script.

cd src
python train.py

• Run testing script. The model is now run on a test image and a test video and bounding box is drawn around detected license plates along with confidence value.

python test.py