Jing Zeng

Results 22 comments of Jing Zeng

I change the scene here as Fuel: ![image](https://github.com/yzhangec/Exploration-with-Global-Consistency/assets/63596020/432bdb03-8a00-4073-a700-8940812dac50)

> It looks like the map was not correctly loaded. Please check if the file office.pcd exits and if there is any error message from map_generator package. I haven't made...

Thanks,I solve this problem by changing ![image](https://github.com/yzhangec/Exploration-with-Global-Consistency/assets/63596020/45f6f54a-94d6-47c0-b94c-ff52f9a9e56e)

python visualization.py --prediction_path ../results/ --room_name scene0707_00 --task instance_pred --out ../results/scene0707_00_instance_pred.ply is OK,

Thanks dor your reply, I have another question, when I have D435 depth which is noisy, Can I compute the scale between D435 depth and omnidata depth in this way...

> > Or by simply computing the median of thed depth ratio between D435 and omnidata ? > > I think this simplest practice would work fairly well, just be...

I have another question, Is this scale normal? ![716b35f70774e5fb94a358303d7e885](https://github.com/theNded/torch-ash/assets/63596020/b4716636-c834-493b-8353-5231452b6d0c) ![0b3c9af8cf993afd829ae152ed20745](https://github.com/theNded/torch-ash/assets/63596020/9ab7b901-9389-4803-9180-1d68cc2ccb10)

Thank you , I have divide 1000, but the ratio is still not unstable ![image](https://github.com/theNded/torch-ash/assets/63596020/7ed2ff03-4a43-4490-9943-49a8a7eb4488)

The histogram is the ratio distribution of one depth image, but the variance is so large,  I cannot know what is wrong ---- Replied Message ---- From ***@***.***> Cc ***@***.***>...

Thank you,I have another problem, obtain ing colmap pose cannot be online, so I use Intel t265 pose as input , Is your method sensitive to noise pose? ---- Replied...