Welcome to AITA book¶
The aim of this toolbox is to provide tools to perform data analyses on orientation maps.
An orientation map is a 2d image where a 3d unit vector is assign at each pixel.
All this documentation is built from jupyter-notebook and can be run using MyBinder by clicking on the “launch button” on the top right of this page (the little rocket 🚀).
Quick start : Short tutorial to plot colormap and pole figure from your dataset.
Crop data : Crop your data.
Misorientation profile : Plot misorientation profile along a line.
Mean grain : Compute the average orientation per grain. Requires the grain boundary segmentation data.
Misorientation angle distribution : Compute the misorientation angle distribution.
Grain boundaries segmentation : Perform grain boundary segmentation.
The xarray dependencies¶
Once conda is set-up you can install your environement using the
conda env create -n MyenvAITA -f environment.yml
To activate this environment use :
conda activate MyenvAITA
Play with the notebooks on your computer¶
You can clone this repository :
git clone https://gricad-gitlab.univ-grenoble-alpes.fr/mecaiceige/tools/documentations/AITA-book
You are welcome to contribute to the project. To do so you can:
Submit commit to fix bug or add new functionalities.
Report issues that you have found using the tools.
Talk about these tools around you if you find it interesting and/or put a star on it.
Feel free to contact me if you wish to discuss it.