donkeycar | Open source hardware and software platform

by autorope Python Version: 5.1.0 License: MIT

X-Ray Key Features Code Snippets(3)Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | donkeycar Summary

donkeycar is a Python library typically used in Internet of Things (IoT), Deep Learning, Raspberry Pi applications. donkeycar has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has medium support. You can install using 'pip install donkeycar' or download it from GitHub, PyPI.

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.

Support

Quality

Security

License

Reuse

Support

donkeycar has a medium active ecosystem.

It has 2735 star(s) with 1235 fork(s). There are 152 watchers for this library.

There were 2 major release(s) in the last 12 months.

There are 65 open issues and 356 have been closed. On average issues are closed in 696 days. There are 23 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of donkeycar is 5.1.0

Quality

donkeycar has 0 bugs and 0 code smells.

Security

donkeycar has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

donkeycar code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

donkeycar is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

donkeycar releases are available to install and integrate.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

Installation instructions are not available. Examples and code snippets are available.

donkeycar saves you 6481 person hours of effort in developing the same functionality from scratch.

It has 15297 lines of code, 1371 functions and 155 files.

It has medium code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed donkeycar and discovered the below as its top functions. This is intended to give you an instant insight into donkeycar implemented functionality, and help decide if they suit your requirements.

Drive a robot
Return the path to the tubing file
Get the JS controller class based on the configuration
Get the next tubing number
Train a model
Train the model
Write the database
Convert keras model to TFLite
Make a frame
Augment the image
Get record data
Run the loop
Return an output pin corresponding to the given ID
Return a PWMPin instance based on the given ID
Convert a keras model to TFLite
Update the filter expression
Calculates the left and right motor speed
Add a new part
Stretch an image
Start the vehicle
Convert a list of files to a TUB
Main function
Show progress
Read event loop
Update the current speed
Updates the steem
Run the controller

Get all kandi verified functions for this library.

donkeycar Key Features

No Key Features are available at this moment for donkeycar.

donkeycar Examples and Code Snippets

Connect your bluetooth controller to the raspberry pi.

Python

Lines of Code : 23

License : No License

Copy

sudo bluetoothctl
power on
scan on

pair 8C:CD:E8:AB:32:DE
connect 8C:CD:E8:AB:32:DE
trust 8C:CD:E8:AB:32:DE

python ./donkeypart_bluetooth_game_controller/donkeypart_bluetooth_game_controller/part.py


LEFT_STICK_Y 0.00234375
LEFT_STICK_Y 0.0015625

Table of Contents ,System Installation,2. Your Host PC

Python

Lines of Code : 11

License : Permissive (MIT)

Copy

$ sudo apt update
$ sudo apt install openssh-server
$ sudo apt install git

$ cd ~
$ git clone https://github.com/caipeide/autorace
$ cd autorace
$ sh ./install_host.sh
$ source ~/.bashrc
$ conda create -n autorace python=3.6 -y
$ conda activate auto

Table of Contents ,System Installation,1. Jetson Nano on the RC-Car

Python

Lines of Code : 10

License : Permissive (MIT)

Copy

$ cd ~
$ git clone https://github.com/caipeide/jetcard
$ cd jetcard
$ sh ./install.sh 

$ cd ~/projects/donkeycar
$ pip install -e .
$ cd ~
$ git clone https://github.com/caipeide/autorace

$ sudo nvpmodel -m1

$ sudo nvpmodel -q

Community Discussions

Trending Discussions on donkeycar

Fix multiple inheritance with generic base classes

QUESTION

Fix multiple inheritance with generic base classes

Asked 2022-Feb-01 at 20:32

from typing import Generic, TypeVar, Any

R = TypeVar('R')
X = TypeVar('X')

class SizedIterator(Generic[X]):
    def __init__(self) -> None:
        pass

class TfmIterator(Generic[R],  SizedIterator):
    def __init__(self) -> None:
        pass

...

ANSWER

Answered 2022-Feb-01 at 20:32

You can try this:

Source https://stackoverflow.com/questions/70947080

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install donkeycar

You can install using 'pip install donkeycar' or download it from GitHub, PyPI.
You can use donkeycar like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

Find more information at: