The seeFretboard Python library allows users to visualize guitar fretboards. Providing foundational music theory displays with intervals, chords, arpeggios, and scales. It also has features such as dynamic video creation of the visualized fretboards with integration of audio.
Anaconda Installation/Docunmentation
Install With Conda Environment
conda create --name <env> --file Conda-package-list.txtPip Installation/Docunmentation
Install with Pip Files
pip install -r requirements.txtInstall with Pip
pip install seeFretboard- Customization of styles, designs, and other visual elements
- Display horizontal and vertical fretboards
- Display intervals, arpeggios, scales, custom arpeggios, and custom scales
- Display drop2, drop3, and CAGED chord shape and custom chords
- Create dynamic videos of visualized fretboard
- Generate MIDI audio
- Combine videos with audio (mp3, wav, MIDI, etc) to create synchronized multimedia content
- Support for prediction vs ground truth, beneficial for music information retrieval researchers working on guitar transcription
- Suitable for integration into websites, applications, or standalone usage.
- Potential for future developments, such as templates, deliberate practice tools, voicings, repetition, reflection exercises, quizzes, textbooks, games, and advanced techniques for fretboard visualization, manipulation, learnings, and AI/ML assistance.
Contributions are always welcome! We appreciate it!
See CONTRIBUTING.rst for ways to get started.
Special thanks to Andrew Wiggins and Youngmoo Kim for advising on this project!
Thank you for your contributions! We appreciate it!
This project was created by Linda Rong Zhang.