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See original GitHub issue

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Summary of the bug

There appears to be an issue with PIL version

Steps to reproduce the bug

By following the installation instructions you get the following error:

  conda env create -n solaris -f environment-gpu.yml
  conda activate solaris
  pip install .
  solaris_run_ml --help

ImportError: cannot import name 'PILLOW_VERSION' from 'PIL' (anaconda3/envs/solaris/lib/python3.7/site-packages/PIL/

Installing Pillow 6.1 appears to resolve the issue:

pip install Pillow==6.1
solaris_run_ml --help

usage: solaris_run_ml [-h] --config CONFIG

Run a Solaris ML pipeline based on a config YAML

optional arguments:
  -h, --help            show this help message and exit
  --config CONFIG, -c CONFIG
                        Full path to a YAML-formatted config file specifying
                        parameters for model training and/or inference.

Same behavior occurred in master and v0.2.0

Issue Analytics

  • State:closed
  • Created 4 years ago
  • Reactions:1
  • Comments:6 (3 by maintainers)

github_iconTop GitHub Comments

hugovkcommented, Jan 16, 2020

torchvision v0.5.0 has been released with the fix:

  1. Require torchvision>=0.5.0
  2. If Pillow was temporarily pinned, remove the pin
nrweircommented, Jan 9, 2020

Thanks for the heads up @hugovk. In this case I’ll probably let users manage it themselves rather than explicitly pin in the repo since it’ll be fixed in a few days.

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