How to test a trained model using Toronto 3D data with RandLA-Net?
- Dominant language
- Python
- Stars
- 2.3k
- Forks
- 365
- Avg merge
- 4h 6m
- Merged PRs (30d)
- 1
Description
### Checklist
- [X] I have searched for [similar issues](https://github.com/isl-org/Open3D-ML/issues).
- [X] I have tested with the [latest development wheel](http://www.open3d.org/docs/latest/getting_started.html#development-version-pip).
- [X] I have checked the [release documentation](http://www.open3d.org/docs/release/) and the [latest documentation](http://www.open3d.org/docs/latest/) (for `master` branch).
### My Question
Hello,
I want to test on my own dataset with the Toronto3D(tf) model, which I downloaded from the link https://github.com/isl-org/Open3D-ML#semantic-segmentation-1. I have shared the files of the model below.

Could there be something missing in these files? The .meta and checkpoint files are not present in the model When I try to test the RandLA-Net algorithm, I get errors that the .meta and checkpoint files do not exist.
Thanks.
Contributor guide
No contributing guide indexed for this repository
Assessment
This issue has not been assessed yet.