ImageD11
Project description
ImageD11 is a python code for identifying individual grains in spotty area detector X-ray diffraction images.
Version 1.9.8, Jon Wright, wright@esrf.fr
This is the source code for ImageD11. Probably you wanted a compiled version.
If your pip is up-to-date, you can try to install it like this (numpy is needed to compile):
python -m pip install --upgrade pip setuptools
python -m pip install numpy
python -m pip install ImageD11
To get all the possible dependencies too, you can try:
python -m pip install ImageD11[full]
Some (dated) documentation is here: https://imaged11.readthedocs.io/
If you are at ESRF on an old linux computer you can try "module load fable".
To use from git, try this:
- Download and install python 3.7+, perhaps from www.python.org but probably from conda.
- Preload binary packages from conda (or your system package manager): numpy, scipy, matplotlib, h5py, pillow, pycifrw, xfab, pyqt, pillow, silx[full] etc
pip install git+https://github.com/FABLE-3DXRD/ImageD11.git
If you want to work with the sources then you can try like this:
$ python -m pip install --upgrade pip
$ git clone https://github.com/FABLE-3DXRD/ImageD11.git && cd ImageD11
$ python -m pip install --editable .
After it is installed, you should find a script ImageD11_gui.py, somewhere in your path.
Until 2017 this code was mostly developed on sourceforge at http://sourceforge.net/projects/fable/
It is now developed at http://github.com/FABLE-3DXRD/ImageD11
Bug reports are always welcome!
Good luck!
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