hippogriff/3dcsgnet

CSGNet for voxel based input

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License

Copyright 2017-present George Cushen.

Released under the MIT license.

3dcsgnet's Issues

Test the trained model

Hi,

I want to test the pre-trained model on some surface meshes I have, could I first convert the file into voxel representation, then send it to the network? Or do you have a function, like voxel_from_surface ?

Thanks : )

Version conflicts while making the virtual environment using environment.yml file.

Hi,
I am trying to implement the repository on my personal laptop for a project. However, while creating the new virtual environment using the requirements.yml file, I face lots of version conflicts among the different libraries. At first, using the command and directly using the requirements.yml file, I get the following error:

After removing PyTorch from the channels and the packages causing the error from the yml file, I get lots of version conflicts in the other libraries.

What should I do to create the venv now?
Thank You.

Test/Validation Loss doesn't converge?

Hello,

I tried training 3DCSGNet with the default parameters. The training loss appears to converge to zero and overall decreases with each epoch, but the validation loss doesn't decrease and seems to flatline around a some positive value (in my case 16 or 17). Is this normal? Are there any parameters from the default yml that I should change to improve this?

Thanks

visualize the result

Hi,

After running the test.py with the pretrained model, I got some output with three files:
pred.txt results.org target.txt

Is there a way to visualize the results, e.g., in voxel format?

iou is zero forever

when i run test.py, the script print
“IOU for 3 len program: iou 0”“IOU for 5 len program: iou 0”“IOU for 7 len program: iou 0”
besides，the pred.txt of the three results is empty.
so,what should i focus on to fix this ?
thanks for any response

when input is simple, the result is also not good

when i run test.py, the script print
when i sent just a 'p(32,40,24,20)' to the model, the model return p(32,40,24,20)u(24,40,32,16)+u(32,16,32,28)
so,what should i focus on to fix this ?
thanks for any response

Dimensions of cube voxel off by 1

For example, for the cube 'cu(16,16,16,8)', the output voxel (in both the .h5 and the draw_cube function) is 7 by 7 by 7, not 8 by 8 by 8.
Upon further inspection, draw_cube only gives the true dimensions for a cube if the side length is odd, presumably because only odd-sided cubes can have a true center in voxel space (but technically speaking even-sided cubes can be made). Was this intentional? Any suggestions for fixing this?

Thanks

KeyError

Hi,

I am getting a KeyError: 'p(48,32,32,8,12)'
I tried to change the length and expression=None but it did not solve the issue.

Any clue?
Regards,