Metadata-Version: 2.4
Name: moviz
Version: 0.4.2
Summary: Motion visualization tool for humanoid robots
Author-email: a <a@a.com>
License-Expression: MIT
Keywords: robotics,visualization,motion
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Science/Research
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Operating System :: OS Independent
Classifier: Topic :: Scientific/Engineering :: Visualization
Requires-Python: >=3.11
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: numpy
Requires-Dist: trimesh
Requires-Dist: viser
Requires-Dist: pyyaml
Requires-Dist: termcolor
Requires-Dist: iceoryx2
Requires-Dist: ezc3d
Requires-Dist: tqdm
Requires-Dist: yourdfpy
Dynamic: license-file

# mviz

Motion visualization tool for humanoid robots.

## Features

- Motion data visualization
- Robot model visualization  
- Real-time motion playback
- Support for Unitree G1 robot models

## Installation

```bash
pip install mviz
```

### Development setup

```bash
# please use python version >= 3.11
conda create -n mviz python==3.11
pip install -e .
```

## Usage

```bash
mviz
```

## Release checklist

1. Update the version number in both `pyproject.toml` and `mviz/__init__.py`.
2. Ensure the changelog/README reflects the new release.
3. Build the distribution artifacts:
   ```bash
   python -m pip install --upgrade build twine
   python -m build
   ```
4. Upload to PyPI (or TestPyPI first) using Twine:
   ```bash
   python -m twine upload dist/*
   ```
5. Tag the release in your VCS for future reference.
