Different betweem with the offical dataset Sci-Art and mine

[chufall]

Hi , I still confused with building my own dataset following the method in Readme and discussions in #6 .

In order to verfy whether i'm right, I built the dataset with Sci-Art photos and compared with the same set provided in https://storage.cmusatyalab.org/mega-nerf-data/sci-art-pixsfm.tgz

If I'm right , the visualization result should be the same.
Here are the results.
1. official

2. mine

You will find that the cameras in official set are aligned the X axis(red) , but mines are aligned the Z axis(blue).
So I think there is a step before using the convert script, or there're anything wrong using the pixsfm。
How to do it?
Thank you very much!

Sincerely.
QC

[A-pril]

hello, I'm also trying to eval sci-art dataset, but there are 3 authors' datasets on https://vcc.tech/UrbanScene3D and each has 3 zips. So which one is the final choice? Could you share your choice?
Thanks a lot!

[chufall]

hello, I'm also trying to eval sci-art dataset, but there are 3 authors' datasets on https://vcc.tech/UrbanScene3D and each has 3 zips. So which one is the final choice? Could you share your choice? Thanks a lot!

https://github.com/Linxius/UrbanScene3D#urbanscene3d-v1
hi， use this link to download

[lhc991025]

Hi , I still confused with building my own dataset following the method in Readme and discussions in #6 .

In order to verfy whether i'm right, I built the dataset with Sci-Art photos and compared with the same set provided in https://storage.cmusatyalab.org/mega-nerf-data/sci-art-pixsfm.tgz

If I'm right , the visualization result should be the same. Here are the results. 1. official

2. mine

You will find that the cameras in official set are aligned the X axis(red) , but mines are aligned the Z axis(blue). So I think there is a step before using the convert script, or there're anything wrong using the pixsfm。 How to do it? Thank you very much!

Sincerely. QC

Hello, have you successfully customized the dataset and trained it. Can you provide your method

[AI-slam]

@lhc991025 I also need to customized the dataset and trained it, maybe we can talk about it. my weixin is d19965161832