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The open source toolbox for reproducible diffusion MRI-based microstructure estimation

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In preparation of pypi we change all prints to appropriate logging messages. closes #82

Hi again @rutgerfick and others, This is not so much an "issue" as just a small announcement, that might be of use for some of your developments here! So as...

replace all prints with logging in preparation to put dmipy in pypi

With the [recent update of dipy](https://dipy.org/documentation/1.0.0./api_changes/), many functions will not work. There are two possible solutions: * Require an old version of dipy (suboptimal) * Do a complete revision of...

With #51 in place reproduce example similar to axcaliber one with activeax.

The models inside a bundle model are assumed to be aligned - so they should not have individual orientations. The input orientations should therefore be linked to a `bundle_mu` parameter...

Dipy's visualization updated so replace all hcp examples like the one in mc-mdi.

- [x] acquisition scheme without b0 measurements should give warning that S0 must be estimated as parameter. - [x] adds functionality to estimate S0 from data as extra parameter without...

Problem remaining : Callaghan sphere approximation not similar to a gaussian for very nearly unrestricted diffusion (attenuation values superior to 1)