wobjtushisui / mlsd_pytorch

Pytorch implementation of "M-LSD: Towards Light-weight and Real-time Line Segment Detection"

M-LSD: Towards Light-weight and Real-time Line Segment Detection

Pytorch implementation of "M-LSD: Towards Light-weight and Real-time Line Segment Detection"

origin repo: https://github.com/navervision/mlsd

• Paper
• PPT

Overview

First figure: Comparison of M-LSD and existing LSD methods on GPU. Second figure: Inference speed and memory usage on mobile devices.

demo

How to run demo

Install requirements

pip install -r requirements.txt

Run demo

python demo_MLSD_flask.py

python demo.py

Citation

If you find M-LSD useful in your project, please consider to cite the following paper.

@misc{gu2021realtime,
    title={Towards Real-time and Light-weight Line Segment Detection},
    author={Geonmo Gu and Byungsoo Ko and SeoungHyun Go and Sung-Hyun Lee and Jingeun Lee and Minchul Shin},
    year={2021},
    eprint={2106.00186},
    archivePrefix={arXiv},
    primaryClass={cs.CV}
}

License

Copyright 2021-present NAVER Corp.

Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at

    http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.