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The only way I see for now is to propose to download image data from somewhere else than the brainweb dataset (using brainweb_dl ) or we commit the image to the repo ( I am not for this, adding huge binary blob is not so good for git).
A solution might be to use the caching mechanism of github actions1. The brainweb data is downloaded in ~/.cache/brainweb (or whatever is the environment variable $BRAINWEB_DIR) So we could setup a cache to both speed things up and make less call to download the phantoms.
example_stacked.py and example_density.py can't pass in the test-examples because of some network connection errors.
Some alternatives should be purposed to solve these issues.
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