Most of the code gives result of image classification that too depends on Image in off line.My input is video stream.
https://www.nature.com/articles/s41598-017-15720-y
https://arxiv.org/pdf/1404.7828)
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Then review this:
https://www.google.com/url?sa=t&source=web&rct=j&url=https://trl.co.uk/sites/default/files/PPR374.pdf&ved=2ahUKEwieqeLQ5-LmAhWzURUIHQ0sDYAQFjAKegQIAxAB&usg=AOvVaw3Ds2n4evxDviZ-LoVWJiIW
A modern solution of the lane detection is semantic segmentation. Particularly you can use road-segmentation-adas-0001-fp16 for OpenVINO or many other pretrained models. Or you can employ datasets as cityscapes and train your own model.
Here is a suggestion that you can try:
https://paperswithcode.com/paper/vpgnet-vanishing-point-guided-network-for
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