donkeycar: a python self driving library

Donkeycar is minimalist and modular self driving library for Python. It is developed for hobbiests and students with a focus on allowing fast experimentation and easy community contributions.

Quick Links

Use Donkey if you want to:

Make an RC car drive its self.
Compete in self driving races like DIY Robocars
Experiment with autopilots, mapping computer vision and neural networks.
Log sensor data. (images, user inputs, sensor readings)
Drive your car via a web or game controler.
Leverage community contributed driving data.
Use existing hardware CAD designs for upgrades.

Getting driving.

After building a Donkey2 you can turn on your car and go to http://localhost:8887 to drive.

Modify your cars behavior.

The donkey car is controlled by running a sequence of events

#Define a vehicle to take and record pictures 10 times per second.

from donkeycar import Vehicle
from donkeycar.parts.camera import PiCamera
from donkeycar.parts.datastore import Tub


V = Vehicle()

#add a camera part
cam = PiCamera()
V.add(cam, outputs=['image'], threaded=True)

#add tub part to record images
tub = Tub(path='~/d2/gettings_started', 
          inputs=['image'], 
          types=['image_array'])
V.add(tub, inputs=['image'])

#start the drive loop at 10 Hz
V.start(rate_hz=10)

See home page, docs or join the Slack channel to learn more.

License

tescal2/donkey

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