Metadata-Version: 2.4
Name: birdnet_analyzer
Version: 2.0.1
Summary: BirdNET analyzer for scientific audio data processing and bird classification.
Author: Stefan Kahl
Maintainer: Josef Haupt, Max Mauermann
License: MIT
Project-URL: Homepage, https://birdnet.cornell.edu/birdnet
Project-URL: Documentation, https://birdnet-team.github.io/BirdNET-Analyzer/
Project-URL: Repository, https://github.com/birdnet-team/BirdNET-Analyzer
Project-URL: Issues, https://github.com/birdnet-team/BirdNET-Analyzer/issues
Project-URL: Download, https://github.com/birdnet-team/BirdNET-Analyzer/releases/latest
Keywords: birdnet,birdnet-analyzer
Classifier: Programming Language :: Python :: 3.11
Classifier: Operating System :: OS Independent
Classifier: Topic :: Multimedia :: Sound/Audio :: Analysis
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Requires-Python: >=3.11
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: librosa
Requires-Dist: resampy
Requires-Dist: tensorflow==2.15.1
Requires-Dist: scikit-learn==1.6.1
Requires-Dist: tqdm
Provides-Extra: train
Requires-Dist: keras-tuner; extra == "train"
Provides-Extra: server
Requires-Dist: bottle; extra == "server"
Requires-Dist: requests; extra == "server"
Provides-Extra: gui
Requires-Dist: birdnet-analyzer[embeddings,train]; extra == "gui"
Requires-Dist: gradio==5.25.2; extra == "gui"
Requires-Dist: pywebview; extra == "gui"
Requires-Dist: matplotlib; extra == "gui"
Requires-Dist: plotly[express]; extra == "gui"
Requires-Dist: seaborn; extra == "gui"
Requires-Dist: pywin32; platform_system == "Windows" and extra == "gui"
Provides-Extra: embeddings
Requires-Dist: perch-hoplite; extra == "embeddings"
Provides-Extra: all
Requires-Dist: birdnet-analyzer[gui,server]; extra == "all"
Provides-Extra: dev
Requires-Dist: sphinx; extra == "dev"
Requires-Dist: sphinx-rtd-theme; extra == "dev"
Requires-Dist: sphinx-argparse; extra == "dev"
Requires-Dist: pytest; extra == "dev"
Requires-Dist: ruff; extra == "dev"
Dynamic: license-file

<div align="center">
  <h1>BirdNET-Analyzer</h1>
    <a href="https://birdnet-team.github.io/BirdNET-Analyzer/">
        <img src="https://github.com/birdnet-team/BirdNET-Analyzer/blob/main/docs/_static/logo_birdnet_big.png?raw=true" width="300" alt="BirdNET-Logo" />
    </a>
</div>
<br>
<div align="center">

![License](https://img.shields.io/github/license/birdnet-team/BirdNET-Analyzer)
![OS](https://badgen.net/badge/OS/Linux%2C%20Windows%2C%20macOS/blue)
[![Python 3.11](https://img.shields.io/badge/python-3.11-blue.svg)](https://www.python.org/downloads/release/python-3110/)
![Species](https://badgen.net/badge/Species/6512/blue)
![Downloads](https://www-user.tu-chemnitz.de/~johau/birdnet_total_downloads_badge.php)

[![Docker](https://github.com/birdnet-team/BirdNET-Analyzer/actions/workflows/docker-build.yml/badge.svg)](https://github.com/birdnet-team/BirdNET-Analyzer/actions/workflows/docker-build.yml)
[![Reddit](https://img.shields.io/badge/Reddit-FF4500?style=flat&logo=reddit&logoColor=white)](https://www.reddit.com/r/BirdNET_Analyzer/)
![GitHub stars)](https://img.shields.io/github/stars/birdnet-team/BirdNET-Analyzer)

[![GitHub release](https://img.shields.io/github/v/release/birdnet-team/BirdNET-Analyzer)](https://github.com/birdnet-team/BirdNET-Analyzer/releases/latest)
[![PyPI - Version](https://img.shields.io/pypi/v/birdnet_analyzer?logo=pypi)](https://pypi.org/project/birdnet-analyzer/)

</div>

This repo contains BirdNET models and scripts for processing large amounts of audio data or single audio files.
This is the most advanced version of BirdNET for acoustic analyses and we will keep this repository up-to-date with new models and improved interfaces to enable scientists with no CS background to run the analysis.

Feel free to use BirdNET for your acoustic analyses and research.
If you do, please cite as:

```bibtex
@article{kahl2021birdnet,
  title={BirdNET: A deep learning solution for avian diversity monitoring},
  author={Kahl, Stefan and Wood, Connor M and Eibl, Maximilian and Klinck, Holger},
  journal={Ecological Informatics},
  volume={61},
  pages={101236},
  year={2021},
  publisher={Elsevier}
}
```

## Documentation

You can access documentation for this project [here](https://birdnet-team.github.io/BirdNET-Analyzer/).

## Download

You can download installers for Windows and macOS from the [releases page](https://github.com/birdnet-team/BirdNET-Analyzer/releases/latest).

## About

Developed by the [K. Lisa Yang Center for Conservation Bioacoustics](https://www.birds.cornell.edu/ccb/) at the [Cornell Lab of Ornithology](https://www.birds.cornell.edu/home) in collaboration with [Chemnitz University of Technology](https://www.tu-chemnitz.de/index.html.en).

Go to https://birdnet.cornell.edu to learn more about the project.

Want to use BirdNET to analyze a large dataset? Don't hesitate to contact us: ccb-birdnet@cornell.edu

**Have a question, remark, or feature request? Please start a new issue thread to let us know. Feel free to submit a pull request.**

## License

- **Source Code**: The source code for this project is licensed under the [MIT License](https://opensource.org/licenses/MIT).
- **Models**: The models used in this project are licensed under the [Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (CC BY-NC-SA 4.0)](https://creativecommons.org/licenses/by-nc-sa/4.0/).

Please ensure you review and adhere to the specific license terms provided with each model.

*Please note that all educational and research purposes are considered non-commercial use and it is therefore freely permitted to use BirdNET models in any way.*

## Funding

This project is supported by Jake Holshuh (Cornell class of ´69) and The Arthur Vining Davis Foundations.
Our work in the K. Lisa Yang Center for Conservation Bioacoustics is made possible by the generosity of K. Lisa Yang to advance innovative conservation technologies to inspire and inform the conservation of wildlife and habitats.

The development of BirdNET is supported by the German Federal Ministry of Education and Research through the project “BirdNET+” (FKZ 01|S22072).
The German Federal Ministry for the Environment, Nature Conservation and Nuclear Safety contributes through the “DeepBirdDetect” project (FKZ 67KI31040E).
In addition, the Deutsche Bundesstiftung Umwelt supports BirdNET through the project “RangerSound” (project 39263/01).

## Partners

BirdNET is a joint effort of partners from academia and industry.
Without these partnerships, this project would not have been possible.
Thank you!

![Logos of all partners](https://tuc.cloud/index.php/s/KSdWfX5CnSRpRgQ/download/box_logos.png)
