Problem with model not being able to view

[xdw-123]

Thank you for the author's sharing. I tried to achieve the effect of your paper using my own data. I modified the data input parameters of train_db. sh for reconstruction, but encountered the following problem when opening the model later. Hope for your answer

[tongji-rkr]

We update the viewer and you can try it again

[tongji-rkr]

Please don't put the .pt file under the current path, just keep the original file structure after training

[xdw-123]

Thank you for the author's reply. I have updated the code and recompiled it to read. pt. Is the last file very important? The program still reported an error

[tongji-rkr]

No, this is an optional parameter.
Please show me your current file structure.

[xdw-123]

[tongji-rkr]

No problem, and any bugs here?

[xdw-123]

Because I previously implemented the Octree GS file you shared, and found out that the path to the. pt file was incorrect. Later, I corrected it, but found that the model had distortion in details. However, combining the LOD principle is a great practice. Seeing that your shared file has solved the distortion problem, I am curious to implement it and see the effect.

[xdw-123]

Sorry to throw the compilation issue directly at you, mainly because I am in a hurry to see the results. Would it be convenient for you to share the execution program of your viewer?

[tongji-rkr]

I get what you meant, actually I already gave a pre-compiled version, but a lot of people don't read ReadME
https://drive.google.com/file/d/17nPVnRRxO4zMQJ_fKHm13HzvD0wUZ8XF/view?usp=sharing

[xdw-123]

Excuse me, is this the compiler that was just compiled? If not, then I have tried downloading and won't be able to read the. pt file

[tongji-rkr]

The following is a compiler error, I am using VS2019
I configured it in win11+vs2022 and I never encountered any errors related to it

[tongji-rkr]

Thank you for the author's reply. I have updated the code and recompiled it to read. pt. Is the last file very important? The program still reported an error

That seems fine. Would you like to Google your results to me.

[tongji-rkr]

Because I previously implemented the Octree GS file you shared, and found out that the path to the. pt file was incorrect. Later, I corrected it, but found that the model had distortion in details. However, combining the LOD principle is a great practice. Seeing that your shared file has solved the distortion problem, I am curious to implement it and see the effect.

We had some problems with the initial code, and later I added an anchor culling strategy, which you can refer to the weed_out function in gaussian_model.py

[xdw-123]

Thank you for the author's reply. I have updated the code and recompiled it to read. pt. Is the last file very important? The program still reported an error

That seems fine. Would you like to Google your results to me.

This is the viewer I compiled, not the viewer execution program you provided.I seem to be compiling Torch, but there seems to be an issue here. Maybe it doesn't support CUDA, right

[tongji-rkr]

Which version of libtorch are you using?

[xdw-123]

Create a virtual environment using the conda you used in your tutorial, Does the Windows compilation viewer use the libtorch 1.10 version you shared, which is absolutely related to the cuda version?

[tongji-rkr]

CUDA 11.6+ #32
CUDA 11.8 best

[xdw-123]

I just tried the version of CUDA11.6, but it still reported an error in the same place. Maybe the version is still incorrect, I think Ubuntu also has CUDA 11.6

[tongji-rkr]

https://github.com/city-super/Scaffold-GS/tree/main/SIBR_viewers
You go through all these steps and get an error at compile time, right?

[tongji-rkr]

if so, please tell me all environment configuration

[xdw-123]

Hello, yesterday I tested different versions of CUDA and also used 11.8, but still encountered an error when reading the PT file. Then I looked at the Torch version in the virtual environment again, and the image is shown below. I downloaded the LibTorch package for this version (cu116+1.12.1), but it still reported an error in the same place.