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Analysis and classification of audio recordings (Cacophony Index)

License: GNU General Public License v3.0

Python 96.80% Dockerfile 2.07% Makefile 0.50% Shell 0.63%
machine-learning

audio-analysis's Introduction

audio-analysis

Be aware that this repository contains compiled tensorflow model files.

Tensorflow model files are programs which can perform arbitrary operations on your computer.

More details here: https://github.com/tensorflow/tensorflow/blob/master/SECURITY.md

If you are running any branch or fork of Cacophony Project's audio-analysis code, be sure to confirm the origin of any tensorflow model you run, and take precautions accordingly..

Development

Build the docker image docker build -t cacophony-audio .

Then run it with the parameters:

  • model_dir - model base directory
  • base_dir - base directory
  • audio-file - audio file relative to base_dir
  • metadata-file- meta file relative to base_dir (not used at the moment)
  • path to models- path to models directory contains (model1, model2, and model3) relative to model_dir

docker run -it-v {model_dir}:/model -v {base_dir}:/io cacophony-audio /io/{audio-file} /io{metadata-file} /model/"."

Release

Make a tag on GitHub This will push a docker image to docker.io to use this image update cacophony-processing tag version To run on docker image use the following command

audio-analysis's People

Contributors

gferraro avatar mjs avatar dsosnoski avatar missingbytes-cp avatar

Watchers

Ben Biddington avatar  avatar Dave Lane avatar James Cloos avatar Unless.nz avatar Simon Matthews avatar Jack Steel avatar  avatar  avatar Patrick Nicholls avatar Jon Hardie avatar  avatar

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