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.