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ashawkey avatar ashawkey commented on June 14, 2024 1

@neilgogogo Hi, In fact I found some related issues:

You may have a try at these workarounds:

  • change /std=c++14 to /std=c++17 in all backend.py
  • downgrade VS toolset by setting -T version=14.25 for cmake
  • upgrade both VS and CUDA to the latest version

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ashawkey avatar ashawkey commented on June 14, 2024

@neilgogogo Hi, have you tried the GUI, so you can visualize which regions are blurred?

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neilgogogo avatar neilgogogo commented on June 14, 2024

hi, thank you for your reply.
I try to run it on windows, but get the following error when compling the cuda
image

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ashawkey avatar ashawkey commented on June 14, 2024

Could you give more details on the enviroment? e.g., CUDA version, VS version, ..
also check this thread.

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neilgogogo avatar neilgogogo commented on June 14, 2024

I tried to downgrade the environment to cuda11.3.
And it comes the following compiling errors.
image

windows10
Cuda compilation tools, release 11.3, V11.3.109
Python 3.8.5
torch1.11.0+cu113
VS2019
RTX3060

image

image

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ashawkey avatar ashawkey commented on June 14, 2024

The error is strange... Could you post the full error log, or at least the first error? Also, can you install tiny-cuda-nn?

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neilgogogo avatar neilgogogo commented on June 14, 2024

The error is strange... Could you post the full error log, or at least the first error? Also, can you install tiny-cuda-nn?

sorry, it is really a long error, and the start is limited by the powershell. Perhaps it is still due to the environment issue when compling the hashencoder.

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neilgogogo avatar neilgogogo commented on June 14, 2024

hi, thank you for your advice. When I change C++14 to C++17, it works;)

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neilgogogo avatar neilgogogo commented on June 14, 2024

image

hi, when I visualize the training, the view is like this. I think the reason might be the camera coordinate? But I am not sure.

Is it possible to visualize the training camera poses and bounding box in dearpygui, so it might be more easier to debug.

image

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ashawkey avatar ashawkey commented on June 14, 2024

It's not implemented now, but telling from the second figure, the camera poses are not properly transformed. They should be centered around the unit sphere, an example:
image
You could try running colmap2nerf.py on the original images, or if you already have the poses, you could refer to these parts to properly adjust them.

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neilgogogo avatar neilgogogo commented on June 14, 2024

hi, using the tensoRF, I reconstructed the target. But the reconstructed resolution is not good after 1000epochs*64 steps. I find there are resolutions 0 and 1 in the main function. Do you think increasing it will increase the resolution? Or how to increase the image resolution do you think, such as increasing the sigma_rank, color rank.

image

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ashawkey avatar ashawkey commented on June 14, 2024

64 steps sound too few... I thought the default is 512 steps?

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neilgogogo avatar neilgogogo commented on June 14, 2024

thank you for your advice, I will try;)

cheers

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