Security certificate on the Stanford side is expired, so auto-download of resources fails. Major hack to get it working in the meantime: 1) download `https://shapenet.cs.stanford.edu/media/modelnet40_ply_hdf5_2048.zip` manually 2) in the download folder, start a server with `python3 -m http.server 8080` 3) modify _URL in `tensorflow_graphics/datasets/modelnet40/modelnet40.py`to be `_URL = 'http://localhost:8080/modelnet40_ply_hdf5_2048.zip'` 4) allow dataset to be built by executing ``` from tensorflow_graphics.datasets.modelnet40 import ModelNet40 ds_train, info = ModelNet40.load(split='train', with_info=True) ``` 5) after this, ensure you do not re-download: ``` data_dir = '~/tensorflow_datasets' ds_train, info = ModelNet40.load(split='train', with_info=True, data_dir=data_dir, download=False) ```
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jackd commentedon Aug 13, 2021
Pretty sure this can be resolved using
tfds.download.DownloadConfigwithverify_ssl=False.taiya commentedon Aug 13, 2021
If the error message would have told me that, I would have saved 1h of my time :)
Just left a trace for others that might run into this.
@Conchylicultor perhaps that's something to consider?
In any case, we need to contact the Stanford folks and get this fixed.
That's the primary reason for opening the bug.
ma7555 commentedon Mar 1, 2022
@jackd
Trying with the below code still throws SSL error
This throws SSL error too
Also
throws an unexpected argument error
EDIT:
my bad, was using an older version of TFDS. With v4.5.2 the below code works