This is the annotation toolkit for TRoM data set. It is written with MATLAB and the main function is impoly. It can provide a pixel-level annotation for the data set TRoM(Tsinghua road markings)
- Try to keep the MATLAB version later than 2015a.
- ./image is directory of the raw images.
- ./gt is the directory of the annotated images.
- list.txt is the image list. If you want to mark more images, creat the list in advance.
- This is the version which runs on windows. If you try to run on ubuntu or mac, modified the seperator.
- When launch the MATLAB, run Mark_Road.m then the interface as figure above will be shown.
- More shortcut is the same as impoly, you can refer to 'help impoly' in matlab command window.
- This is the first version, we will release new versions in the future.
- If you feel awkward to use this toolkit, welcome critic on this or email to me: [email protected]. Please call me xiaolong liu. The new URL is www.tromai.icoc.me/ This is part of the paper work: Benchmark for Road Marking Detection: Dataset Specification and Performance Baseline. we will be happy if you cite us.
@inproceedings{xiaolong2017benchmark,
title={Benchmark for Road Marking Detection: Dataset Specification and Performance Baseline},
author={Xiaolong Liu, Zhidong Deng, Hongchao Lu, Lele Cao},
booktitle={ITSC},
year={2017}
}
The download link is: https://drive.google.com/drive/folders/0BzU3xph6la-TVm1pVUw4Ml9KMTg?resourcekey=0-fk0zYrM8xwcoCaOnCqFBtg&usp=sharing