Audiovisually
A Python package for leveraging audiovisual data for advanced AI applications.
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:
- Fork the repository.
- Create a new branch (
git checkout -b feature-name). - Commit your changes (
git commit -m 'Add feature'). - Push to the branch (
git push origin feature-name). - 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)
| File | Size | Uploaded | |
|---|---|---|---|
| audiovisually-0.1.4.tar.gz | 16.6 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| audiovisually-0.1.4-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 36.8 kB
Release files / audiovisually-0.1.4.tar.gz
| Download URL | audiovisually-0.1.4.tar.gz |
|---|---|
| Size | 16.6 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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| Uploaded via |
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Release files / audiovisually-0.1.4-py3-none-any.whl
| Download URL | audiovisually-0.1.4-py3-none-any.whl |
|---|---|
| Size | 20.2 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.10.17
|