lucastabelini/LaneATT
LaneATT is a real-time lane detection model using attention-guided deep learning, published at CVPR 2021.
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This repository contains the PyTorch implementation of LaneATT, a state-of-the-art lane detection model. The model uses attention mechanisms to detect lanes in images for autonomous driving applications. It was trained and evaluated on standard lane detection benchmarks and achieves real-time performance. The code includes the complete training pipeline, evaluation scripts, and pre-trained model weights.
Frequently asked
- What is lucastabelini/LaneATT?
- LaneATT is a real-time lane detection model using attention-guided deep learning, published at CVPR 2021.
- Is LaneATT open source?
- Yes — lucastabelini/LaneATT is open source, released under the MIT license.
- What language is LaneATT written in?
- lucastabelini/LaneATT is primarily written in Python.
- How popular is LaneATT?
- lucastabelini/LaneATT has 694 stars on GitHub.
- Where can I find LaneATT?
- lucastabelini/LaneATT is on GitHub at https://github.com/lucastabelini/LaneATT.