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agile3d's Issues

OOM memory and how to make this runnable

Hey, I am running this on 4060TI (16GB) and looking into how I can downgrade the backend to make this runnable for smaller GPUs in runtime or possibly CPUs. Can you give any tips? Many thanks

Backbone and Training details

Hi,
Thanks for the wonderful job and open-sourced codes!

I have some confusion about the details though:

  1. The paper mentioned the feature extraction backbone is based on the Minkowski Engine, which actually seems to be a mix of ME and another version of Resnet arc in Mask3D when checking the codes. What is the consideration behind this?
  2. The experimental settings said that the training is conducted on a single RTX TITAN with 24GB memory. Though I encountered a memory issue: "MemoryError: std::bad_alloc: cudaErrorMemoryAllocation: out of memory" when I run the training script using a single RTX4090 with same 24GB memory. Is there any adjustments on the released traning codes? or is it just something wrong with my server.

Thanks for the possible help in any kind!

Training problem - list index out of range

Hi,

Firstly, thank you for your amazing work!

I'm having a problem with the training script. When I run it, I get this error:

pos_enc = pos_encodings_pcd[hlevel][0][b]# [num_points, 128]
IndexError: list index out of range

I noticed that the shape of pos_enc is (5, 1, 1). This causes the error with a batch size more than 1 (by default batch size 5). It works fine with a batch size 1.

Do you have any suggestions on how to fix this so it works with a batch size of more than 1?

Thanks!

code release

Hello yuanwen !
I wonder when will the code be released?

Question about web visualizer

Thank you for open-sourcing your work! I found interactive tool interesting to play with!

Have you tried launching the tool on the remote machine and forwarding the display to the local machine's browser? When I uncomment o3d.visualization.webrtc_server.enable_webrtc() line commented here, ssh into remote machine, do port forwarding and access the visualisation in my browser I'm seeing that rendering quality is poor.

It looks like that when the app is launched from the ssh terminal, rendering falls back to the software rendering, not GPU rendering. But when I connect to the remote machine via TeamViewer and run the app remotely, it uses GPU rendering and browser rendering quality is much better. Have you by any chance tried that?

Thank you in advance!

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