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Python package designed to provide the essentials tools for off-the-grid inverse problem. This is the bedrock for future GUI implementation.

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XeBasTeX/SFW-python

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OPS: Off-the-grid Package made Simple 🎻

Please note that this version is compatible with the papers published before June 2022. In the following months, this version will be discontinued and replaced by a more proper implementation on the Inria Gitlab. Stay tuned!

TODO

  • Complete requirement.txt
  • Finish the readme

See below the progress of the whole project (yes, it's quite long! 🐢):

Section Description Status
Dirac Reconstruct points from one image Done 🟢
Covariance Reconstruct static points with fluctuating
luminosity from a stack of images
Done 🟢
Curves Reconstruct points from one image Ongoing 🚧
Dynamic Reconstruct dynamic points in a
blind inverse problem settings
None 🔴

(git logo) Contribute

Maintainers: Bastien Laville (bastien.laville@inria.fr).

Contributors: Bastien Laville.

Distribution and License: Inria, CeCILL

Upstream git repository: https://gitlab.inria.fr/blaville/OPS

Previous upstream git repository (2021-2022): https://github.com/XeBasTeX/SFW-python

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Python package designed to provide the essentials tools for off-the-grid inverse problem. This is the bedrock for future GUI implementation.

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