vehicle plate recognition with python
- load raw dataset
- read each img as gray channel
- resize dataset to (m * m)
- write resized gray dataset
- load resized dataset
- binarize dataset
- write binarized dataset
- load binary dataset
- save data-labels array as binary file to faster load later
- define an CNN arquitechture
- train
- choose a framework to build GUI (Flet)
- Integrate the model with GUI
- Test
- Fix bugs
- Improve the model