MaybeShewill-CV/lanenet-lane-detection
A TensorFlow implementation of a deep neural network for real-time lane detection in self-driving applications.
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This repository provides an unofficial implementation of the LaneNet model for real-time lane detection. The model uses an encoder-decoder architecture with binary semantic segmentation and instance semantic segmentation stages, employing a discriminative loss function. It is trained on the Tusimple lane dataset and achieves around 50 FPS inference performance on GPU.
Frequently asked
- What is MaybeShewill-CV/lanenet-lane-detection?
- A TensorFlow implementation of a deep neural network for real-time lane detection in self-driving applications.
- Is lanenet-lane-detection open source?
- Yes — MaybeShewill-CV/lanenet-lane-detection is open source, released under the Apache-2.0 license.
- What language is lanenet-lane-detection written in?
- MaybeShewill-CV/lanenet-lane-detection is primarily written in Python.
- How popular is lanenet-lane-detection?
- MaybeShewill-CV/lanenet-lane-detection has 2.6k stars on GitHub.
- Where can I find lanenet-lane-detection?
- MaybeShewill-CV/lanenet-lane-detection is on GitHub at https://github.com/MaybeShewill-CV/lanenet-lane-detection.