Git Product home page Git Product logo

t2-easyeffects-preset's Introduction

T2 MacBook Pro EasyEffects Preset

This preset for the EasyEffects app enhances speaker quality for T2 Linux users.

It has been tested on a MacBook Pro 15,1 running Fedora 39 and Arch Linux, but it should be compatible with any other pipewire-based platform.

Installation

  1. Install EasyEffects

  2. Copy the mbp.json file in the ~/.config/easyeffects/output/ directory

  3. Open EasyEffects, go the the Pipewire section (on top)

  4. Go to Presets Autoloading, select the Apple Audio Device Speakers and the mbp preset and click on the + sign

  5. Click on the three dots in the top right corner and open the Preferences panel

  6. Enable the Launch Service at System Startup option

  7. Enjoy!

NOTE: Be sure that CALF and LSP plugins are installed!

Licence

This project is under the GPL3 license. Read the LICENSE for more.

Contribution

Feel free to contribute to this project.

Made with ❤️ by angelobdev

t2-easyeffects-preset's People

Contributors

angelobdev avatar

Stargazers

avatar avatar

Watchers

avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.