May I know the scene id used in ScanNet?

[Pixie8888]

Hi,

May I know the scene ids used in ScanNet? I want to fairly compare objectsdf++ with rico, but it seems that both use different scenes in ScanNet.

Also, may I know how to pre-process ScanNet? Particularly, how to compute "instance_mapping.txt", "cameras.npz", depth and normal maps?

[QianyiWu]

You might refer to this script. The scan ID list is given at here. Remember to modify the path to the ScanNet CSV file on your side.

[Pixie8888]

Thanks!
By the way, I am running objectsdf++ on scannet scene 1 on one 3090Ti, but the training is very slow, probably 72h to finish 2000 epochs. Is it normal?

[QianyiWu]

I have updated the training code as in here. You don't need to run 2000 epochs on ObjectSDF++. In the original experiments, we set the total iteration as 200k and updated the nepochs.

[Pixie8888]

oh Thanks! Do you have per scene result on ScanNet?

[QianyiWu]

You can refer to here.

[Pixie8888]

Hi,
I running objectsdf++ on ScanNet scene_1 using your updated codes, but the results is much worse than your given mesh results.

My results:
Acc': 0.12937723174010277, 'Comp': 0.08671345835739624, 'Prec': 0.5227453147766669, 'Recal': 0.5302576311072802, 'F-score': 0.5264746758200511

Your provided mesh results:
{'Acc': 0.041288216964188044, 'Comp': 0.05054920064427027, 'Prec': 0.7702384715344361, 'Recal': 0.672310470795879, 'F-score': 0.7179505307957033}

My experiment environment is pytorch2.0+cu11.7, python 3.9. Why does it have such big gap?

[QianyiWu]

Hi, this result looks strange. I checked my previous notes and found the reconstruction quality of scene_1 usually wouldn't meet such a low ACC value. But the environment would be one possible issue. The results I reported in my paper are under the environment of MonoSDF. When I prepare the open-source version, I add some additional supports such as vmap here and use torch2.0 for this code. I will try to check whether the environment matters that much.

[joejep]

I am trying to run the code on a new dataset. How can the dataset be generated