Add Semantic Segmentation of KITTI-STEP Panoptic Segmentation Dataset

[TimoK93]

Motivation

In the last years, panoptic segmentation has become more into the focus in reseach. Weber et al. [Link] 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 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.

[CLAassistant]

All committers have signed the CLA.

[MengzhangLI]

Hi, very thankful for your nice PR. We would review it ASAP.

[codecov[bot]]

Codecov Report

Merging #1748 (1ac5cfc) into master (13d4c39) will decrease coverage by 0.22%. The diff coverage is 36.84%.

:exclamation: Current head 1ac5cfc differs from pull request most recent head b9f52e0. Consider uploading reports for the commit b9f52e0 to get more accurate results

@@            Coverage Diff             @@
##           master    #1748      +/-   ##
==========================================
- Coverage   89.04%   88.81%   -0.23%     
==========================================
  Files         144      145       +1     
  Lines        8636     8674      +38     
  Branches     1458     1463       +5     
==========================================
+ Hits         7690     7704      +14     
- Misses        706      730      +24     
  Partials      240      240              

Flag	Coverage Δ
unittests	88.81% <36.84%> (-0.23%)	:arrow_down:

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Impacted Files	Coverage Δ
mmseg/datasets/kitti_step.py	35.13% <35.13%> (ø)
mmseg/datasets/__init__.py	100.00% <100.00%> (ø)

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