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isl-org / MiDaS

Code for robust monocular depth estimation described in "Ranftl et. al., Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer, TPAMI 2022"
MIT License
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PyTorch Pipeline Broken #257

Closed CerebralSeed closed 6 months ago

CerebralSeed commented 6 months ago

I followed the steps here and got an HTTP Error 403: rate limit exceeded:

https://pytorch.org/hub/intelisl_midas_v2/

I think this may relate to github requiring a login for access, recently.

CerebralSeed commented 6 months ago

Resolved this issue with the following:

Via terminal: pip install github.py

In script: import github token = "token" #create a token from a github account with appropriate read access and insert that here g = github.GitHub(token)

And just add those lines to the script on the pytorch hub page.

CerebralSeed commented 6 months ago

Closing