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Author:
Hemant Sharma
Summary:
Differentiable PyTorch forward model for white-beam Laue microdiffraction, with per-voxel orientation- and strain-distribution (ODF/SDF) recovery, coded-aperture depth resolution, and joint multi-grain fitting.
Latest version:
0.1.5
Required dependencies:
h5py
|
midas-hkls
|
midas-invert
|
midas-stress
|
numpy
|
pillow
|
scipy
|
torch
Optional dependencies:
matplotlib
|
pytest
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