This is a server side component that runs alongside the Cacophony Project API, performing post-upload processing tasks.

Currently it supports the following kinds of processing:

1. Feeding uploaded CPTV (Cacophony Project Thermal Video) files to an external classifier. The tags and MP4 files generated by the classifier are passed back to the API server. This is handled by thermal_processing.py.
2. Converting uploaded audio files to MP3 format (if required). This is handled by audio_processing.py
3. Running the Cacophony Project audio-analysis tool over uploaded audio recordings.

cacophony-processing requires access to the Cacophony API's fileProcessing API as well as direct access to the API's backing object store. Copy processing_TEMPLATE.yaml to processing.yaml and edit as appropriate.

The processing.yaml file may either be placed in /etc/cacophony or in the same directory as the code.

• Start cacophony-api locally.
• Copy processing_TEMPLATE.yaml to processing.yaml and edit as appropriate.
• Create and activate a virtualenv. This virtualenv must use Python 3.5 or later.
• Install dependencies: pip install -r requirements.txt
• Run python main.py

• Ensure all changes have been merged and are pulled into the local copy.
• Tag the release (starting with a "v"), e.g.: git tag -a v1.2.3 -m "1.2.3 release"
• Push the tag to Github, e.g.: git push origin v1.2.3
• TravisCI will run the tests, create a release package and create a Github Release

Install latest package from https://github.com/TheCacophonyProject/cacophony-processing/releases sudo dpkg -i cacophony-processing_<version>_amd64.deb

You will need a super user account to the browse platform at api_url endpoint in which the processing results will be uploaded under.

api_url: "https://api.cacophony.org.nz"
api_user: test-user
api_password: test-password

After configuring the config you can restart the service systemctl restart cacophony-processing

Or you can run it manually /usr/bin/cacophony-processing.pex -m main

You can configure how many workers and of which type in the config under

For IR:

ir:
  tracking_workers: 0
  analyse_workers: 0

For Thermal:

thermal:
    tracking_workers: 2  
    analyse_workers: 2

For Audio:

audio:
    analysis_workers: 2

For Trail Camera:

trailcam:
  trail_workers: 1

The workers use docker image to run their jobs, by default they will be set up to use latest image, but you can specify the exact image to run and commands to run on them inside /etc/cacophony/processing.yaml

thermal/ir images https://hub.docker.com/repository/docker/cacophonyproject/classifier

audio images https://hub.docker.com/repository/docker/cacophonyproject/audio-analysis

trailcam images https://hub.docker.com/r/zaandahl/megadetector