Metadata-Version: 2.4
Name: LaneQ
Version: 0.3.0
Summary: LaneQ: A Python package for lane line detection and classification
Author: Ankith Boggaram, Douglas Fenwick, Nihal Karne
License-Expression: MIT
Requires-Python: >=3.9
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: huggingface-hub>=0.14
Requires-Dist: numpy>=2.0
Requires-Dist: opencv-python>=4.0.0.0
Requires-Dist: pycocotools>=2
Requires-Dist: PyYAML>=6.0
Requires-Dist: scikit-image>=0.25
Requires-Dist: scikit-learn>=1.0
Requires-Dist: scipy>=1.0
Requires-Dist: torch>=2.0
Requires-Dist: torchmetrics>=1.5
Requires-Dist: torchvision>=0.15
Dynamic: license-file

<h1 align="center">
  <a href="https://github.com/dfenny/retro/tree/main">
    <img src="images/LaneQ_background.png" alt="LaneQ logo" width="450" height="187">
  </a>
</h1>

Install:

`python3 -m pip install laneq`

Get started easily with:

```python
from laneq import DegradationDetector

dt = DegradationDetector("output")
dt.predict("path/to/dashcam/image.jpg")
```

Or to run the GUI:

`python -m laneq`
