Parking assistance for Softserve parklot

wrapper.py contains ParkingAssistant class, that takes care of all processes related to image processing and predicting. On the same level there is config.json file with configuration options, required for proper wrapper work.

Example of usage:

parking_assistant = ParkingAssistant('config.json')
parking_assistant.assist()

ParkingAssistant supposes that its source directory, defined in config is always being replenished with new photos. For that, there is Camera class in utils package, that copies image files from one directory to another, simulating live camera work.

Example of usage:

cam = Camera('camera_config.json')
cam.start()

docker build --tag=parking .
docker run -it parking