Audiomoth-visualizer NPM

Audiomoth Visualizer

Node.js pipeline in the console for spectrograms creation and Birdnet detection for your Audiomoth sessions.
It will create a movie per audiofile with a spectrogram as image and utilizes birdnet AI to detect bird species.
The HTML page lists all movies and renders the birdnet detections.

Example result: https://audiomoth.ivo-bathke.name

npm.io

Installation

You will need docker,sox and ffmpeg on your machine.
On Linux install it like this:

sudo apt install sox ffmpeg

For docker installation see here: https://docs.docker.com/engine/install/.
Birdnet detection software will run inside a docker container.

Usage

Globally via npm

Install:

npm install --global audiomoth-visualizer

Run:

audiomoth-visualizer <path-to/my-audiomoth-session> <destination-dir> --title="Session title" --locale=de-DE --timezone=Europe/Berlin --lat=50.8754444 --lng=6.8380488

Running on-demand:

Run:

npx audiomoth-visualizer <path-to/my-audiomoth-session> <destination-dir> --title="Session title" --locale=de-DE --timezone=Europe/Berlin --lat=50.8754444 --lng=6.8380488

Using npx you can run the script without installing it first.

Local dev environment

Clone this repository:

git clone git@github.com:ivoba/audiomoth-visualizer.git

Install dependencies:

npm i

node index.mjs <path-to/my-audiomoth-session> <destination-dir> --title="Session title" --locale=de-DE --timezone=Europe/Berlin --lat=50.8754444 --lng=6.8380488

Then open the generated files/my-audiomoth-session/index.html in your favorite Browser by doubleclick or via console:

chromium <path-to/my-audiomoth-session>/index.html

Development

There are entrypoints to test birdnet AI or HTML generation separately:

HTML generation:

node_modules/.bin/zx html.mjs <path-to/my-audiomoth-session>

Birdnet detection:

node_modules/.bin/zx birdnet.mjs <path-to/my-audiomoth-session>

Release

npm run release

Credits

Heavily inspired by:
https://github.com/nwolek/audiomoth-scripts

Todo

responsive images
responsive video
with https://www.tensorflow.org/js/
docker image in npx? will the image be pulled?
docker user permissions on birdnet files --user $(id -u):$(id -g) user should be used in docker image https://github.com/kahst/BirdNET/issues/23
tests: https://dev.to/shadowtime2000/testing-command-line-tools-47bk
https://engineering.britebill.com/2018/10/30/end-to-end-testing-cli-apps-jest.html
print percentage of detection
create a clean task to delete all files with no detection
scroll to top link on bottom
paging?
fix Changelog generation
input date -> output date options