This repo is currently under development.
Electron app for sound file analysis with BirdNET.
Author: Stefan Kahl
Contact: [email protected]
Website: https://birdnet.cornell.edu/
Please cite as (PDF coming soon):
@phdthesis{kahl2019identifying,
title={{Identifying Birds by Sound: Large-scale Acoustic Event Recognition for Avian Activity Monitoring}},
author={Kahl, Stefan},
year={2019},
school={Chemnitz University of Technology}
}
First, clone the project and install all dependencies:
git clone https://github.com/kahst/BirdNET-Electron.git
cd BirdNET-Electron
npm install
Next, launch the app with:
npm start
Setting up the project requires Node.js, which we need to install first.
After that, we can initialize the source directory with:
npm init
Follow the prompt to setup package.json.
Now, we need to install electron with:
npm install --save-dev electron
BirdNET requires Tensorflow.js which we install with:
npm install @tensorflow/tfjs
Install Bootstrap and its dependencies:
npm install bootstrap
npm install jquery
npm install popper.js
This app also needs some additional packages that we have to install.
npm install audio-loader
npm install audio-resampler
npm install array-normalize
npm install wavesurfer.js