voldemortX / pytorch-auto-drive

PytorchAutoDrive: Segmentation models (ERFNet, ENet, DeepLab, FCN...) and Lane detection models (SCNN, RESA, LSTR, LaneATT, BézierLaneNet...) based on PyTorch with fast training, visualization, benchmarking & deployment help
BSD 3-Clause "New" or "Revised" License
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BSNet implementation #142

Closed smilecode-github closed 1 year ago

smilecode-github commented 1 year ago

Hi.

I am interested in lane detection based on parameters such as BézierLaneNet or PolyLaneNet.

Recently, I found a new paper on parameter-based lane detection called BSNet.

The dissertation path is as follows. BSNet: Lane Detection via Draw B-spline Curves Nearby: https://arxiv.org/pdf/2301.06910.pdf

Can you review an implementation for BSNet similar to BézierLaneNet?

voldemortX commented 1 year ago

@smilecode-github If you mean code review, then I would happily review any community contributions, provided with validation set tuning and avg/best numbers reported on at least one dataset.

smilecode-github commented 1 year ago

@smilecode-github If you mean code review, then I would happily review any community contributions, provided with validation set tuning and avg/best numbers reported on at least one dataset.

Thank you for your answer! The meaning of code review is a little ambiguous, so I ask for confirmation. Do you mean reviewing the code implementation of the BSNet paper? Thank you.

voldemortX commented 1 year ago

@smilecode-github FYI, my meaning is to review a PR in this repo.

smilecode-github commented 1 year ago

@smilecode-github FYI, my meaning is to review a PR in this repo.

I understand what you mean. Thank you!