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                                            yuvalH9

Question About Data Batches

@NicolasBoumal thanks! It seems it did the trick. Unfortunately working with a lot of data just with CPU is very slow, it there any plans to add support for GPUs?...

Compatibility with GPU

Hi Is there any new with that?

Compatibility with GPU

> A good idea to achieve this quickly is to replace calls to `numpy` and `scipy` by calls to `cupy` which works directly on GPU . The only issue is...

Add 'None' option for point_reduction in chamfer_distance function

@Nematollahi, @gkioxari , @walsvid is there any new with this issue?

3DMatch Dataset - Wrong Mathces

Hi @XuyangBai , I had a visualization problem and after fixing that the correspondence seems to be correct. By the way, if I want to create my own GT correspondence...

CUDA OOM error leads to GPU memory leak

I also have this issue (happens after long time of training), is there any explanation or solution?

Cannot use standard pytorch multi gpu feature

I got similar issue with: 1. Ubuntu 18.04.6 2. Python 3.8.16 3. ME 0.5.4 4. Pytorch 0.13.1 +cu117 5. Cuda 11.7 6. GPU Quadro RTX 6000 Is there any new...

Content in outputs gradually disappear when Training depth conditioined model

I get similar issue of degrading images when training the depth model generation. @OrangeSodahub @YunzeMan have you find any solution for this issue? Thanks Yuval

Content in outputs gradually disappear when Training depth conditioined model

@OrangeSodahub I see. Maybe you have a suggestion for other multi view diffusion depth conditioned method with working training?

Training on custom dataset

> [@abhigoku10](https://github.com/abhigoku10) Hi, have you successfully trained your custom data ? @abhigoku10 ?