This repo contains code to run Sem-LSD, a learning-based and light-weighted detector for a new line-shaped image representation, Semantic Line Segment (Sem-LS).
This project is built based on CenterNet codebase.
Please refer to INSTALL.md for installation instructions.
We use training and validating data in COCO format. Please refer to DATA.md for instructions.
To train / inference and perform evaluation using our proposed ACL metric, please refer to RUNNING.md for details.
Pretrained models are also provided.