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Python scripts for performing lane detection using the LSTR model in ONNX

License: MIT License

Python 100.00%
lane-detection onnx python deep-learning machine-learning onnxruntime

onnx-lstr-lane-detection's Introduction

ONNX LSTR Lane Detection

Python scripts for performing lane detection using the Lane Shape Prediction with Transformers (LSTR) model in ONNX.

ONNX LSTR Lane Detection

Requirements

  • Check the requirements.txt file. Additionally, pafy and youtube-dl are required for youtube video inference.

Installation

pip install -r requirements.txt
pip install pafy youtube-dl

ONNX model

The original model was converted to different formats (including .onnx) by PINTO0309, the models can be found in his repository.

Original Pytorch model

The pretrained Pytorch model was taken from the original repository.

Examples

  • Image inference:
python image_lane_detection.py
  • Video inference:
python video_lane_detection.py

!ONNX LSTR Lane Detection on video

Original video: https://youtu.be/2CIxM7x-Clc (by Yunfei Guo)

onnx-lstr-lane-detection's People

Contributors

ibaigorordo avatar genarks avatar

Stargazers

TK9798 avatar  avatar  avatar  avatar  avatar Minhyuk An avatar XuYuan avatar  avatar Gaurav avatar Anna avatar Zixuan Hu avatar Gavin Fang avatar  avatar Bingbing avatar ReyesTatsuru Shiroku avatar liquid avatar Chachay avatar Jiadai Sun avatar Maaz Ullah avatar  avatar  avatar 爱可可-爱生活 avatar xinsuinizhuan avatar Satoshi Gachi Fujimoto avatar Disorn Thampithakpong avatar  avatar ali_robot avatar  avatar  avatar Katsuya Hyodo avatar iwatake avatar KazuhitoTakahashi avatar

Watchers

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onnx-lstr-lane-detection's Issues

postprocessing tuning

Hello,
I noticed the previews are only right in case of using LSTR_360X640 as the model type.
how could I edit it to work with other types?

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