Merge pull request #3 from nurlicht/main

Add the Python implementation

.gitignore

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 artifacts/*
 !artifacts/.gitkeep
+__pycache__

README.md

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-# Volumetric-3D-Stitching
-<p align="justify">
-Filling the 3D 'scattering volume' by appropriately-oriented 2D scattering patterns:
-<br />
-An analytical model (of the forward problem) suggests a numerical procedure (for the inverse problem) using Diffusion Map and the fisrt 9 non-trivial eigenvectors. The Matlab code here
-<br />
-  1) Simulates the forward problem and synthesizes 2D scattering patterns;
-<br />
-  2) Forms the Distance Matrix of scattering patterns; and
-<br />
-  3) Retrieves the (relative) orientations using the Distance Matrix.
-<br />
-More details: http://arxiv.org/abs/1411.7889
-</p>
+# Volumetric-3D-Stitching [![](https://github.com/nurlicht/Volumetric-3D-Stitching/actions/workflows/python-package.yml/badge.svg)](https://github.com/nurlicht/Volumetric-3D-Stitching/actions)
+
+### Goal
+Retrieving the 3D orientations of an object from its X-ray scattering patterns
+
+### Approach
+An analytical model (of the forward problem) suggests a numerical procedure (for the inverse problem) using Diffusion Map and the fisrt 9 non-trivial eigenvectors
+
+### Open-Source Code
+  1) Simulation of the forward problem and synthesis of 2D scattering patterns
+  2) Forming the Distance Matrix of scattering patterns
+  3) Retrieving the (relative)
+   orientations using the Distance Matrix
+  4) Plotting the results
+  5) Implementations
+     - Matlab ([arXiv:1411.7889](https://arxiv.org/abs/1411.7889))
+     - [Octave](./src/octave/DiffusionMap3dOrientations.m)
+     - [Python](./src/python/app.py)
 
 ![](./assets/matlab/dm.png)