pycnet-audio 0.5.11

Audio processing with PNW-Cnet

Welcome to pycnet-audio!

pycnet-audio is a Python package which provides a command-line interface and a useful Python API for processing audio data using PNW-Cnet, a deep learning model developed for bioacoustics research.

Installation

pycnet-audio is available from the Python Package Index and can be installed using pip. However, you will first need to install a compatible version of Python (currently versions 3.8 through 3.11), as well as SoX. For ease of use, we recommend setting up a dedicated Conda environment for running pycnet-audio. We find it is easiest to do so using Miniconda.

Install Miniconda, then open the Anaconda Prompt program and run the following command:

conda create -n pycnet -c conda-forge sox python=3.11

This will create a new conda environment called pycnet with Python version 3.11 and will install the required sox package from the conda-forge repository.

Next, activate your environment...

conda activate pycnet

Finally, install the package from PyPI:

pip install pycnet-audio

This will install the package and its dependencies.

Documentation

Full documentation for this package is hosted by Read The Docs and is available here.

Issues

Please open an issue on the issue tracker.

Contact

Please direct questions and comments to Zack (zjruff at gmail dot com).