Automatic Number Plate Recognition is build using temsorflow object detection models and is being trained on the kaggle dataset and after training opencv is used to detect the liscence plate.
- Creating a Virtual Environment
- Installing Dependencies
- Installing Tensorflow Object Detection
- Cloning Pre-Trained Models
- Kaggle dataset - https://www.kaggle.com/andrewmvd/car-plate-detection
- Creating a Training and Testing Partition
- Updating the LabelMap
- Creating TF Records
- Updating Transfer Learning Config
- Training the Model
- Detecting Plates from an Image