ibaiGorordo/ONNX-LSTR-Lane-Detection

Python scripts for performing lane detection using the LSTR model in ONNX

38
/ 100
Emerging

This tool helps autonomous vehicle engineers or researchers detect and outline lane lines in real-time video feeds or still images. It takes raw video footage or image files as input and precisely outputs the identified lane boundaries. This is ideal for those developing or testing self-driving systems, advanced driver-assistance systems (ADAS), or conducting traffic analysis.

No commits in the last 6 months.

Use this if you need a straightforward way to identify lane markings accurately from visual data for automotive or robotics applications.

Not ideal if you're looking for a general-purpose image analysis tool or need to identify complex road features beyond simple lane lines.

autonomous-driving ADAS robotics-perception traffic-management computer-vision
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 7 / 25
Maturity 16 / 25
Community 15 / 25

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Stars

33

Forks

6

Language

Python

License

MIT

Last pushed

Dec 12, 2021

Commits (30d)

0

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