Use your Philips Hue lights as Racing Flags. Works with Assetto Corsa, Assetto Corsa Competizione and iRacing.

Overview

Forks Stargazers Issues MIT License


Logo

phue-racing-flags

Use your Philips Hue lights as Racing Flags.

Explore the docs »

Report Bug · Request Feature

Table of Contents

  1. About The Project
  2. Supported Systems and Racing Simulators
  3. Local Development
  4. Usage
  5. Roadmap
  6. Contributing
  7. License
  8. Contact
  9. Acknowledgements
  10. Disclaimer

About The Project

Main Screen

Settings Screen

One Friday evening I thought to myself that it would be pretty sweet to use my Philips Hue lights as indicators for the racing flags inside of Assetto Corsa Competizione. As no app was available to achieve this, I decided to take matters into my own hands and create one.

Built With

Supported Systems and Racing Simulators

The app is designed for Windows and currently supports the following racing simulators:

Local Development

To get a local development copy up and running follow these simple steps.

Prerequisites

Installation

  • Clone the repo
    git clone https://github.com/TUnbehaun/phue-racing-flags.git

Run the app

  • Start the GUI
     python gui.py

Usage

To just use the app itself without setting up a local development copy, you can follow these simple steps:

  1. Download the latest .exe file from here: https://github.com/TUnbehaun/phue-racing-flags/releases/latest/download/phue-racing-flags.exe
  2. Run the .exe file

Once the app is started, you can use it the following way:

  1. Enter the IP Address of your Philips Hue Bridge under Settings -> General -> Bridge IP. (You can find the IP Address of your Bridge in the interface of your Router)
  2. Press the (hardware) link button on your Philips Hue Bridge and then within 30 seconds hit the "Connect" button in the app. (Pressing the (hardware) link button on your Philips Hue Bridge is only necessary for the very first time you connect the app to a new Bridge)
  3. You should be able to choose one or multiple of your lights under Settings -> General -> Lights to use as the Racing Flag Light(s)
  4. Adjust brightness if needed.
  5. Use the live sync setting to enable live sync on app startup.
  6. Custom colors for your lights can be set under Settings -> Assetto Corsa / Assetto Corsa Competizione / iRacing respectively.
  7. Test your color configuration by using the Test buttons next to each flag.
  8. On the main view you can use the radio buttons under "sim" to switch between Assetto Corsa, Assetto Corsa Competizione or iRacing.
  9. To start syncing the Racing Flag Light(s) with your simulator's race flag click "Start" under "live sync".
  10. To stop syncing the Racing Flag Light(s) click "Stop" under "live sync".

Roadmap

See the open issues for a list of proposed features (and known issues).

Contributing

Contributions are what make the open source community such an amazing place to be learn, inspire, and create. Any contributions you make are greatly appreciated.

  1. Fork the Project
  2. Create your Feature Branch (git checkout -b feature/AmazingFeature)
  3. Commit your Changes (git commit -m 'Add some AmazingFeature')
  4. Push to the Branch (git push origin feature/AmazingFeature)
  5. Open a Pull Request

License

Distributed under the MIT License. See LICENSE for more information.

Contact

Tim Unbehaun - [email protected]

Project Link: https://github.com/TUnbehaun/phue-racing-flags

Acknowledgements

Disclaimer

I am in no way affiliated with Philips, Kunos Simulazioni or iRacing.

Comments
  • Add Pipfile

    Add Pipfile

    In order to make the build easily reproducible for others, I'd recommend adding something like pipenv.

    If you give me the list of required packages (only some Hue package?), I'd be happy to raise a PR and also add a CI job for building the exe. What did you use for building the distributable?

    opened by kiview 3
  • Add a

    Add a "sync on startup" checkbox.

    Hey, it would be really cool if you could add an option that the app starts live sync directly after startup.

    I use iRacing Manger to autmatically start all necessary apps when iracing launches, and so far phue-racing-flags is the only app that needs an addional click to start working. If it is configured before, the app stores all necessary information to work properly, so a "start sync automatically" should be possible.

    Thank you very much for your effort :)

    Best Regards.

    feature request 
    opened by Xantrass 2
  • Setting Light actions

    Setting Light actions

    How do I change the actions the lights take when a flag is displayed? Currently the light blinks once or stays static when the flag is displayed. I would like to find out how to change the yellow flag for example. Id like it to flash yellow during the duration the flag is shown. Same with the green flag.

    opened by RacerKris23 1
  • remove global execution

    remove global execution

    use

    if __name__ == "__main__":
    

    before this line:

    https://github.com/TUnbehaun/phue-racing-flags/blob/cacee68ea9b111d1000afbce312e4523c380b0e2/gui.py#L516

    [then you can look into packaging maybe and use the same function as an entrypoint]

    otherwise nice project, great idea!

    opened by a-tal 1
  • Failed Connection with Hue Bridge

    Failed Connection with Hue Bridge

    Hi,

    I`m having trouble to connect my Hue Bridge to the Software. When I insert the IP of my Bridge into the IP-Adress field it shows my connected Lamps.

    But when I click Start on the Main Window and Start ACC, the LEDs doesn´t show me the flag status.

    Is there anyone I need to be careful or so?

    I`m waiting for helpful answers.

    opened by TheC0DER68 0
  • time of day system

    time of day system

    Greetings i have been looking into getting a systrem that simulates time with lights and turn the lights blue when night. this would be a lovely feature

    opened by RobEbbers 0
  • iRacing ABS support

    iRacing ABS support

    With the upcoming addition of telemetry for ABS engagement for 2021 Season 3 would it be possible to add a strobing alert for when ABS kicks in? ABS brake engagement is now logged to telemetry as the boolean, "BrakeABSactive" 2021 Season 3 Release notes

    feature request 
    opened by WAR6ASM 1
Owner
Web Developer. Designer. Tech Enthusiast.
Simple data balancing baselines for worst-group-accuracy benchmarks.

BalancingGroups Code to replicate the experimental results from Simple data balancing baselines achieve competitive worst-group-accuracy. Replicating

Meta Research 29 Dec 02, 2022
We will release the code of "ConTNet: Why not use convolution and transformer at the same time?" in this repo

ConTNet Introduction ConTNet (Convlution-Tranformer Network) is proposed mainly in response to the following two issues: (1) ConvNets lack a large rec

93 Nov 08, 2022
Implementation for "Conditional entropy minimization principle for learning domain invariant representation features"

Implementation for "Conditional entropy minimization principle for learning domain invariant representation features". The code is reproduced from thi

1 Nov 02, 2022
This source code is implemented using keras library based on "Automatic ocular artifacts removal in EEG using deep learning"

CSP_Deep_EEG This source code is implemented using keras library based on "Automatic ocular artifacts removal in EEG using deep learning" {https://www

Seyed Mahdi Roostaiyan 2 Nov 08, 2022
LoL Runes Recommender With Python

LoL-Runes-Recommender Para ejecutar la aplicación se debe llamar a execute_app.p

Sebastián Salinas 1 Jan 10, 2022
Deep Image Search is an AI-based image search engine that includes deep transfor learning features Extraction and tree-based vectorized search.

Deep Image Search - AI-Based Image Search Engine Deep Image Search is an AI-based image search engine that includes deep transfer learning features Ex

139 Jan 01, 2023
Adaptive Attention Span for Reinforcement Learning

Adaptive Transformers in RL Official implementation of Adaptive Transformers in RL In this work we replicate several results from Stabilizing Transfor

100 Nov 15, 2022
A minimal implementation of face-detection models using flask, gunicorn, nginx, docker, and docker-compose

Face-Detection-flask-gunicorn-nginx-docker This is a simple implementation of dockerized face-detection restful-API implemented with flask, Nginx, and

Pooya-Mohammadi 30 Dec 17, 2022
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

Website | Documentation | Tutorials | Installation | Release Notes CatBoost is a machine learning method based on gradient boosting over decision tree

CatBoost 6.9k Jan 04, 2023
The source code of the paper "Understanding Graph Neural Networks from Graph Signal Denoising Perspectives"

GSDN-F and GSDN-EF This repository provides a reference implementation of GSDN-F and GSDN-EF as described in the paper "Understanding Graph Neural Net

Guoji Fu 18 Nov 14, 2022
Python implementation of "Elliptic Fourier Features of a Closed Contour"

PyEFD An Python/NumPy implementation of a method for approximating a contour with a Fourier series, as described in [1]. Installation pip install pyef

Henrik Blidh 71 Dec 09, 2022
WPPNets: Unsupervised CNN Training with Wasserstein Patch Priors for Image Superresolution

WPPNets: Unsupervised CNN Training with Wasserstein Patch Priors for Image Superresolution This code belongs to the paper [1] available at https://arx

Fabian Altekrueger 5 Jun 02, 2022
Public Implementation of ChIRo from "Learning 3D Representations of Molecular Chirality with Invariance to Bond Rotations"

Learning 3D Representations of Molecular Chirality with Invariance to Bond Rotations This directory contains the model architectures and experimental

35 Dec 05, 2022
Official PyTorch implementation of N-ImageNet: Towards Robust, Fine-Grained Object Recognition with Event Cameras (ICCV 2021)

N-ImageNet: Towards Robust, Fine-Grained Object Recognition with Event Cameras Official PyTorch implementation of N-ImageNet: Towards Robust, Fine-Gra

32 Dec 26, 2022
Implementation of "With a Little Help from my Temporal Context: Multimodal Egocentric Action Recognition, BMVC, 2021" in PyTorch

Multimodal Temporal Context Network (MTCN) This repository implements the model proposed in the paper: Evangelos Kazakos, Jaesung Huh, Arsha Nagrani,

Evangelos Kazakos 13 Nov 24, 2022
PyToch implementation of A Novel Self-supervised Learning Task Designed for Anomaly Segmentation

Self-Supervised Anomaly Segmentation Intorduction This is a PyToch implementation of A Novel Self-supervised Learning Task Designed for Anomaly Segmen

WuFan 2 Jan 27, 2022
McGill Physics Hackathon 2021: Reaction-Diffusion Models for the Generation of Biological Patterns

DiffuseAnimals: Reaction-Diffusion Models for the Generation of Biological Patterns Introduction Reaction-diffusion equations can be utilized in order

Austin Szuminsky 2 Mar 07, 2022
Projects of Andfun Yangon

AndFunYangon Projects of Andfun Yangon First Commit We can use gsearch.py to sea

Htin Aung Lu 1 Dec 28, 2021
Implementation of "RaScaNet: Learning Tiny Models by Raster-Scanning Image" from CVPR 2021.

RaScaNet: Learning Tiny Models by Raster-Scanning Images Deploying deep convolutional neural networks on ultra-low power systems is challenging, becau

SAIT (Samsung Advanced Institute of Technology) 5 Dec 26, 2022
🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.

Image Super-Resolution (ISR) The goal of this project is to upscale and improve the quality of low resolution images. This project contains Keras impl

idealo 4k Jan 08, 2023