cuda memory problem when apply on outdoor scene

[OrdinaryChen]

hello, Im a staff of a research institute, I read your paper and find its a great model for indoor instance segmentation. when I try to apply it to outdoor and road pointcloud data which box(space size) of scene is about 200~300meter, It runs several problem. the fatal one is when I set scale as big as indoor you set 50(voxel size 1/50), cuda memory will out, and when I run with scale = 1, the result will performance bad and low pixel. I try to crop our scene in a samll room, but lost Semantic information and performance not well neither. could you give some advice , if I solve this problem and apply in outdoor data, Im happy to share it on github if you are willing too. Thanks