Scheduled Algorithm Deployment Workflow

Use Case: Orcasound Stream Spectrogram Visualization

Next, we will demonstrate how GitHub Actions can be used to display a spectrogram for a segment from an underwater audio stream.

Spectrogram Visualization Workflow: .github/workflows/noise_processing.yml

Workflow Steps:

• Generate spectrogram for a period of time (with ambient_sound_analysis package)

  • Download data from AWS S3 bucket (in .ts format) for a given time period

  • Convert many small .ts files to one file in .wav format

  • Generate power spectrogram and store it in .parquet format

• Read the power spectrogram in pandas dataframe format

• Create plots and save them: psd.png and broadband.png.

• Upload the .png files to GitHub

After the workflow is executed psd.png and broadband.pngfiles are updated in the repo and are visualized below.