Metadata-Version: 2.4
Name: callcut
Version: 0.1.0
Summary: Automatic animal call detection.
Author-email: Mathieu Scheltienne <mathieu.scheltienne@gmail.com>, Theophane Piette <theophane.piette@unige.ch>
Maintainer-email: Mathieu Scheltienne <mathieu.scheltienne@gmail.com>
License-Expression: MIT
Project-URL: source, https://github.com/mscheltienne/callcut
Project-URL: tracker, https://github.com/mscheltienne/callcut/issues
Keywords: animal,call,python
Classifier: Natural Language :: English
Classifier: Operating System :: MacOS
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: Unix
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Classifier: Programming Language :: Python :: 3.14
Requires-Python: >=3.11
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: click
Requires-Dist: lightning>=2.0
Requires-Dist: numpy<3,>=1.23
Requires-Dist: nvidia-npp; platform_system == "Linux"
Requires-Dist: packaging
Requires-Dist: pandas
Requires-Dist: psutil
Requires-Dist: torch>=2.10
Requires-Dist: torchaudio>=2.10
Requires-Dist: torchcodec>=0.10
Dynamic: license-file

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# CallCut

## Installation

`callcut` relies on the `torch` ecosystem, thus audio-loading goes through `torchaudio`
and `torchcodec` which requires `ffmpeg`.

----------------------------------------------------------------------------------------

FFmpeg installation

For conda-users, you can use one of:

```shell
conda install "ffmpeg"
conda install "ffmpeg" -c conda-forge
```

But you can also use `uv` or `pip` and install `ffmpeg` as a system dependency:

On Linux:

```
sudo apt install ffmpeg  # Ubuntu
sudo dnf install ffmpeg  # Fedora
```

On macOS:

```shell
brew install ffmpeg
```

On Windows:

1. Download the `"full-shared"` build from https://www.gyan.dev/ffmpeg/builds/
2. Extract somewhere (e.g., `C:\ffmpeg`)
3. Add the `bin\` folder to your system PATH

----------------------------------------------------------------------------------------

After that, the project can be installed as any python package distributed on PyPI:

```
pip install callcut
```

For installation from source using [uv](https://docs.astral.sh/uv/):

```
uv sync
```

To pull the torch binaries for your platform. Otherwise, you can pick either of the 2
extras with `pip install callcut[cpu]` or `pip install callcut[cu128]` which will
resolve to the PyPI `torch` dependencies- or alternatively you can install `callcut`
without any extra and manually install the `torch` dependencies from your preferred
index.
