Download weigths for RandLANet S3DIS from model-zoo -> awaiting response... 403 Forbidden

[RauchLukas]

Checklist

• I have searched for similar issues.
• I have tested with the latest development wheel.
• I have checked the release documentation and the latest documentation (for master branch).

Describe the issue

I have tried to adapt the Kitti example to the S3DIS data set.
It looks like the download link for the pretrained weights from the model zoo is private.

i tested all 3 links:

  - S3DIS (validated on Area 5)
      - randlanet_s3dis_202010091238.pth
      - randlanet_s3dis_area5_202010091333utc.pth
      - randlanet_s3dis_202010091238.zip

Steps to reproduce the bug

# download the weights.
ckpt_folder = "./logs/"
os.makedirs(ckpt_folder, exist_ok=True)
ckpt_path = ckpt_folder + "randlanet_s3dis_202010091238.pth"
randlanet_url = "https://storage.googleapis.com/open3d-releases/model-zoo/randlanet_s3dis_202010091238.pth"
if not os.path.exists(ckpt_path):
    cmd = "wget {} -O {}".format(randlanet_url, ckpt_path)
    os.system(cmd)

Error message

Results in the error:

--2023-05-02 13:32:09--  https://storage.googleapis.com/open3d-releases/model-zoo/randlanet_s3dis_202010091238.pth
Resolving storage.googleapis.com (storage.googleapis.com)... 142.250.186.80, 172.217.18.112, 216.58.212.176, ...
Connecting to storage.googleapis.com (storage.googleapis.com)|142.250.186.80|:443... connected.
HTTP request sent, awaiting response... 403 Forbidden
2023-05-02 13:32:09 ERROR 403: Forbidden.

Expected behavior

Pasting the download links to Google Chrome results in the denied of access:

This XML file does not appear to have any style information associated with it. The document tree is shown below.
<Error>
<Code>AccessDenied</Code>
<Message>Access denied.</Message>
<Details>Anonymous caller does not have storage.objects.get access to the Google Cloud Storage object. Permission 'storage.objects.get' denied on resource (or it may not exist).</Details>
</Error>

Open3D, Python and System information

- Operating system: Ubuntu 20.04 on a Docker Host Windows 10 64-bit
- Python version: (e.g. Python 3.10 / output from `import sys  print(sys.version)`)
- Open3D version: 0.17.0
- Open3D?:  pip

Additional information

Could you please share pretrained weights for SemanticSegmentation on the S3DIS dataset with the RandLAnet model?

[samuelrawrs]

I found out that you can get some of the weights in the Tasks and Algorithms header in the README.md by clicking on the numbers!