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vast-challenge-2018-mc1

Visualizations for the VAST mini-challenge 1 (2018).

Our work

Check our work and visualization without the need to run anything, thanks to these html links:

  1. basic map
  2. dynamic map (you need to run this since it runs on a local server)
  3. amplitude analysis
  4. spectral analysis
  5. classification (machine learning)
  6. conclusion

Demo of the dynamic map

demo_gif

Notebooks

Requirement

To run our repository, you need to create the environement "vast" from the 'environement.yml' file.

conda env create -f environment.yml

The birds songs are not included. You need to download them and put them in the appropriate folder : 'data/ALL BIRDS' and 'data/Test Birds from Kasios'.

The software 'ffmpeg' is needed to convert the mp3 files to wav files.

sudo apt-get install ffmpeg

Map visualizations

Sound visualizations


Credits

Ruth Kueviakoe, Sajeevan Puvikaran, Nicolas Toussaint, Guillaume Fradet.

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Visualizations for the VAST mini-challenge 1 (2018).

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