关于GCU、沐曦GPGPU、MLU、0卡V100资源4月7日恢复上架的公告>>> 关于共建具身智能开源数据集的倡议>>> 关于云脑任务中统一路径访问方式的公告>>> 关于将启智集群GPU资源迁移至智算集群的公告>>>

History

Timo Kaiser a85675c16f Created KITTI dataset for segmentation in autonomous driving scenario (#2730 ) Note that this PR is a modified version of the withdrawn PR https://github.com/open-mmlab/mmsegmentation/pull/1748 ## Motivation In the last years, panoptic segmentation has become more into the focus in reseach. Weber et al. [[Link]](http://www.cvlibs.net/publications/Weber2021NEURIPSDATA.pdf) have published a quite nice dataset, which is in the same style like Cityscapes, but for KITTI sequences. Since Cityscapes and KITTI-STEP share the same classes and also a comparable domain (dashcam view), interesting investigations, e.g. about relations in the domain e.t.c. can be done. Note that KITTI-STEP provices panoptic segmentation annotations which are out of scope for mmsegmentation. ## Modification Mostly, I added the new dataset and dataset preparation file. To simplify the first usage of the new dataset, I also added configs for the dataset, segformer and deeplabv3plus. ## BC-breaking (Optional) No BC-breaking ## Use cases (Optional) Researchers want to test their new methods, e.g. for interpretable AI in the context of semantic segmentation. They want to show, that their method is reproducible on comparable datasets. Thus, they can compare Cityscapes and KITTI-STEP. --------- Co-authored-by: CSH <40987381+csatsurnh@users.noreply.github.com> Co-authored-by: csatsurnh <cshan1995@126.com> Co-authored-by: 谢昕辰 <xiexinch@outlook.com>		1 year ago
..
dest	[DEST] add DEST model (#2482)	1 year ago

example_project	[Projects] Add 'Projects/' folder, and the first example project in 0.x (#2457)	1 year ago

kitti_step_dataset	Created KITTI dataset for segmentation in autonomous driving scenario (#2730)	1 year ago

README.md	[Projects] Add 'Projects/' folder, and the first example project in 0.x (#2457)	1 year ago

README.md

Projects

Projects

Implementing new models and features into OpenMMLab's algorithm libraries could be troublesome due to the rigorous requirements on code quality, which could hinder the fast iteration of SOTA models and might discourage our members from sharing their latest outcomes here.

And that's why we have this Projects/ folder now, where some experimental features, frameworks and models are placed, only needed to satisfy the minimum requirement on the code quality, and can be used as standalone libraries. Users are welcome to use them if they use MMSegmentation from source.

Everyone is welcome to post their implementation of any great ideas in this folder! If you wish to start your own project, please go through the example project for the best practice.

Note: The core maintainers of MMSegmentation only ensure the results are reproducible and the code quality meets its claim at the time each project was submitted, but they may not be responsible for future maintenance. The original authors take responsibility for maintaining their own projects.

No Description

Python Markdown Shell Dockerfile other

mcmong@pku.edu.cn xvjiarui0826@gmail.com hejunjun@sjtu.edu.cn 76149310+MeowZheng@users.noreply.github.com 41846794+RockeyCoss@users.noreply.github.com xiexinch@outlook.com xinchen.xie@qq.com 58427300+sennnnn@users.noreply.github.com 49829199+yamengxi@users.noreply.github.com 93248678+linfangjian01@users.noreply.github.com sshuair@gmail.com daviddelaiglesiacastro@gmail.com

wangwxyz@qq.com 31381602+johnzja@users.noreply.github.com 30465912+lkm2835@users.noreply.github.com yaoqian@sensetime.com 61701369+Nourollah@users.noreply.github.com miguelmndez@gmail.com siddancha@users.noreply.github.com dazitu616@gmail.com fehlner@arcor.de drcut@users.noreply.github.com jinwonkim93@users.noreply.github.com test767803@foxmail.com

How to access data resources in code

README.md

Projects

Contributors (25+) All

Contributors (25+)
All