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In many cases, requirements.txt seems to be usable for both conda and pip, but not always (i.e. the --only-binary option doesn't work on conda , although I don't know why we use it for pipmatplotlib).
I have no understanding of why it (dis)advantages of using pip in a conda install. I guess pip has more than conda, but I guess if conda packages are available it'd make sense to use them. Or maybe it's all the same...
See also discussion in #493 on how to avoid having to track the requirements separately (but would require CIL-demos to have a requirements.txt presumably
If I understand correctly, the docker image uses miniconda python.
Dockerfile
callsuser_python-ubuntu.sh
without parameters, which means that it's going to install to/opt/pyenv
and useminiconda
as default python.It later uses
requirements.txt
to install viapip
.Probably, for the training we will need to add some additional dependencies for CIL, either via pip or conda.
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