Self driving library for python.
Project description
donkeycar: a python self driving library
Donkeycar is minimalist and modular self driving library for Python. It is developed for hobbyists and students with a focus on allowing fast experimentation and easy community contributions.
NOTE: this package is a non-official build by the AICoE. Please check the upstream project links for official information.
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 controller.
- Leverage community contributed driving data.
- Use existing CAD models for design upgrades.
Get 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.
import time
from donkeycar import Vehicle
from donkeycar.parts.cv import CvCam
from donkeycar.parts.tub_v2 import TubWriter
V = Vehicle()
IMAGE_W = 160
IMAGE_H = 120
IMAGE_DEPTH = 3
#Add a camera part
cam = CvCam(image_w=IMAGE_W, image_h=IMAGE_H, image_d=IMAGE_DEPTH)
V.add(cam, outputs=['image'], threaded=True)
#warmup camera
while cam.run() is None:
time.sleep(1)
#add tub part to record images
tub = TubWriter(path='./dat', inputs=['image'], types=['image_array'])
V.add(tub, inputs=['image'], outputs=['num_records'])
#start the drive loop at 10 Hz
V.start(rate_hz=10)
See home page, docs or join the Discord server to learn more.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Close
Hashes for aicoe-donkeycar-4.3.0.post1.dev1.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | a47b6b4a94be5e5458a2309242077cedcb1e7b929ef1dcd540d99c7505581357 |
|
MD5 | 7c471b46b2b6a3163ff8fda073514d2c |
|
BLAKE2b-256 | 004d3c86d04014d2f8250c443b7fb8a742c70220718607d991e55b4407e6a1e6 |
Close
Hashes for aicoe_donkeycar-4.3.0.post1.dev1-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 017a17cfa78f0e63fd922f5221ea82af568ffcf3a3d42e4f1bb824be7fe5565f |
|
MD5 | a024bd441f6f7fbfbacc7d1294d2e618 |
|
BLAKE2b-256 | 830d9f4a1ce57c7ca6c13f61172cdf41fa442b01c35420c1e1b8a80d60fbbd46 |