PRBonn / semantic_suma

SuMa++: Efficient LiDAR-based Semantic SLAM (Chen et al IROS 2019)
MIT License
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confused with the resulting semantic map #38

Closed DayDayUpUpUp666 closed 3 years ago

DayDayUpUpUp666 commented 3 years ago

thanks for open-source the great job suma++! I‘m confused the result. Why the resulting semantic map is black(fig 1) , not the semantic colors , just like it in your paper(fig 2)

DayDayUpUpUp666 commented 3 years ago

2021-03-26 15-54-16屏幕截图 fig1

2021-03-26 15-54-37屏幕截图 fig2

Chen-Xieyuanli commented 3 years ago

Hey @DayDayUpUpUp666, thanks for using our code!

It seems a problem with semantic segmentation. You may first check the rangenet_lib: https://github.com/PRBonn/rangenet_lib

DayDayUpUpUp666 commented 3 years ago

Thanks for reply @Chen-Xieyuanli ! I think the semantic segmentation is right , but when i want to look the whole semantic map (i choose the 'show history'), it's black 2021-03-26 17-00-33屏幕截图 this figure is the segmentation result

2021-03-26 17-00-54屏幕截图 this is the 'show history' , the semantic segmentation becomes black

Chen-Xieyuanli commented 3 years ago

Show history will only show the raw point clouds with intensity information. The semantics are stored in the map. To visualize the map, you may better disable the history point clouds.

To visualize the whole surfel map, you may also change the size of the submap, since, for efficiency, we only load the tile of the submap.

DayDayUpUpUp666 commented 3 years ago

Thanks! I’ll try later. Best Wishes!

kingskymoon commented 7 months ago

Hello, I set "submap-extent" to 100, but there were other issues, and after a period of time, the segmentation results were incorrect. Have you encountered similar errors? I submitted a new issue for detail. https://github.com/PRBonn/semantic_suma/issues/67