Metadata-Version: 2.4
Name: LaneQ
Version: 0.2.0
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

Automated Lane Line Quality Assessment

![Model Architecture with Example](https://raw.githubusercontent.com/dfenny/LaneQ/main/images/architecture_with_example.png)

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")
```
