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Audiovisually

A Python package for leveraging audiovisual data for advanced AI applications.

Full Documentation

Table of Contents

Introduction

This package provides tools and utilities for processing and analyzing audiovisual data, enabling the development of intelligent systems that integrate audio and visual inputs.

Features

  • Audio and video data preprocessing
  • Feature extraction for audiovisual datasets
  • Pre-trained models for audiovisual tasks
  • Customizable pipelines for specific use cases

Installation

You can install the package directly from PyPI:

pip install audiovisually

Package Structure

The package is organized as follows:

audiovisually
├── __init__.py
├── utils.py
├── preprocess.py
├── predict.py
├── evaluate.py
└── train.py

Usage

Here’s an example of how to use the package:

from audiovisually.preprocess import convert_video_to_mp3

# Convert a video file to MP3
convert_video_to_mp3("input_video.mp4", "output_audio.mp3")

Contributing

Contributions are welcome! Please follow these steps:

  1. Fork the repository.
  2. Create a new branch (git checkout -b feature-name).
  3. Commit your changes (git commit -m 'Add feature').
  4. Push to the branch (git push origin feature-name).
  5. Open a pull request.

License

This package is licensed under the MIT License.

Metadata

Release files for audiovisually 0.1.4

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for audiovisually 0.1.4
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Table of built distributions (wheels) for audiovisually 0.1.4
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audiovisually-0.1.4-py3-none-any.whl Python 3 none any Details

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Release files / audiovisually-0.1.4.tar.gz

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Release files / audiovisually-0.1.4-py3-none-any.whl

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