How to visualize the seg result of SA_GS?

[Hendery77]

Thanks for the great work!
I am planing to reproduce your segment_result of SA_GS,
however, It seems that you store the 3D mask as the seg_point_cloud.ply document,
and your render.py use " pre_mask = torch.load(precomputed_mask)" to load the 3D mask ,it doesn't make senses,
could you tell me how to reproduce your segment_result?

Thank you very much!

[Jumpat]

Hello, do you mean the SAGA? Or SA3D-GS? What do you want to get? The 2D rendered mask or the segmented target (with background removed)?

[VolkaJ]

Hello, do you mean the SAGA? Or SA3D-GS? What do you want to get? The 2D rendered mask or the segmented target (with background removed)?

I'd like to know SAGA version too.
I think it's 3D Mask (3D Segementation possibly?)

[Jumpat]

The 3d mask is stored as confidence score in the seg_point_cloud.ply, each point in this point cloud has a mask attribute. In SAGA we use different realization, where we store another one mask file separately.

[VolkaJ]

The 3d mask is stored as confidence score in the seg_point_cloud.ply, each point in this point cloud has a mask attribute. In SAGA we use different realization, where we store another one mask file separately.

But in nerfstudio version, the only output is the mp4 file in train_vis folder right?

[Jumpat]

Yeah, but the 3D-GS version of our code is independent of nerfstudio. It is implemented based on the original 3D-GS