# donkeycar: a python self driving library
[![CircleCI](https://circleci.com/gh/wroscoe/donkey.svg?style=svg)](https://circleci.com/gh/wroscoe/donkey)
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
* [Donkeycar Updates & Examples](http://donkeycar.com)
* [Build instructions and Software documentation](http://docs.donkeycar.com)
* [Slack / Chat](https://donkey-slackin.herokuapp.com/)
![donkeycar](./docs/assets/build_hardware/donkey2.PNG)
#### Use Donkey if you want to:
* Make an RC car drive its self.
* Compete in self driving races like [DIY Robocars](http://diyrobocars.com)
* 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 harsupport
supportdware 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
```python
#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](http://donkeycar.com), [docs](http://docs.donkeycar.com)
or join the [Slack channel](http://www.donkeycar.com/community.html) to learn more.
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donkey car 深度学习小车的源码 (126个子文件)
setup.cfg 40B
CNAME 18B
bootstrap.min.css 118KB
bootstrap.min.css 118KB
style.css 2KB
style.css 2KB
extra.css 48B
fine_calibration.gif 5.33MB
vehicle.html 7KB
session.html 4KB
tub.html 3KB
base.html 2KB
base.html 1KB
home.html 564B
vehicle_list.html 485B
pilots_list.html 483B
session_list.html 482B
tubs.html 257B
jquery-ui.min.js 248KB
jquery-ui.min.js 248KB
jquery-3.1.1.min.js 85KB
jquery-3.1.1.min.js 85KB
nipple.js 37KB
nipple.js 37KB
bootstrap.min.js 36KB
bootstrap.min.js 36KB
main.js 18KB
tub.js 7KB
LICENSE 1KB
build_hardware.md 15KB
roll_your_own.md 11KB
install_software.md 10KB
simulator.md 6KB
faq.md 5KB
supported_cars.md 5KB
get_driving.md 4KB
donkey.md 4KB
train_autopilot.md 4KB
calibrate.md 4KB
controllers.md 3KB
about.md 2KB
README.md 2KB
index.md 2KB
contribute.md 1KB
imu.md 1KB
release.md 870B
stores.md 518B
README.md 421B
tests.md 417B
actuators.md 0B
Desert_Monster_adapter.png 2.81MB
Crunch.png 2.13MB
ESC_RX.png 2.06MB
Desert_Monster.png 1.93MB
TT01.PNG 1.53MB
donkey2.PNG 910KB
4a.PNG 552KB
donkey.PNG 497KB
5ab.PNG 436KB
4b.PNG 436KB
7b.PNG 317KB
7a.PNG 294KB
3b.PNG 276KB
2a.PNG 243KB
6a.PNG 242KB
2b.PNG 228KB
3a.PNG 218KB
6b.PNG 202KB
traxxas.PNG 113KB
drive_UI.png 98KB
calibration_graph.png 20KB
datastore.py 20KB
base.py 14KB
controller.py 13KB
keras.py 12KB
actuator.py 9KB
time_stack.py 7KB
donkey2.py 6KB
simulation.py 6KB
web.py 6KB
utils.py 5KB
square.py 5KB
camera.py 5KB
encoder.py 4KB
vehicle.py 4KB
tub.py 3KB
teensy.py 3KB
setup.py 3KB
cv.py 3KB
transform.py 2KB
tk1.py 2KB
test_tub.py 2KB
imu.py 1KB
config.py 1KB
memory.py 1KB
test_scripts.py 1KB
test_utils.py 1008B
config_defaults.py 924B
setup.py 886B
test_keras.py 838B
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