Skip to main content

A set of FEniCS- and VTK-based python tools for Finite Element Digital Image Correlation, basically implementing the method described in [[Genet, Stoeck, von Deuster, Lee & Kozerke (2018). Equilibrated Warping: Finite Element Image Registration with Finite Strain Equilibrium Gap Regularization. Medical Image Analysis, 50, 1–22.]](https://doi.org/10.1016/j.media.2018.07.007).

Project description

dolfin_warp

A set of FEniCS- and VTK-based python tools for Finite Element Digital Image Correlation, basically implementing the method described in [Genet, Stoeck, von Deuster, Lee & Kozerke (2018). Equilibrated Warping: Finite Element Image Registration with Finite Strain Equilibrium Gap Regularization. Medical Image Analysis, 50, 1–22.].

Requirements

You need a working installation of FEniCS (including DOLFIN python interface) & VTK (also including python interface).

Installation

pip install dolfin_warp

Tutorials

Interactive tutorials can be found at https://mgenet.gitlabpages.inria.fr/dolfin_warp-tutorials/index.html.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

dolfin_warp-2023.5.27.tar.gz (68.8 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

dolfin_warp-2023.5.27-py3-none-any.whl (103.8 kB view details)

Uploaded Python 3

File details

Details for the file dolfin_warp-2023.5.27.tar.gz.

File metadata

  • Download URL: dolfin_warp-2023.5.27.tar.gz
  • Upload date:
  • Size: 68.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.3

File hashes

Hashes for dolfin_warp-2023.5.27.tar.gz
Algorithm Hash digest
SHA256 5f0a4b32bc9af4204eaeaab455e364527a9191e1e84ddaa0799e55b35aece5d0
MD5 20c26315ce025e25c94ed5d94ee030a2
BLAKE2b-256 e53369835bbeb56399f9d8d03a58eb2516bae965221ac5514117dd844b97eb43

See more details on using hashes here.

File details

Details for the file dolfin_warp-2023.5.27-py3-none-any.whl.

File metadata

File hashes

Hashes for dolfin_warp-2023.5.27-py3-none-any.whl
Algorithm Hash digest
SHA256 3f7c6849e4c9811c605fd9b8ad426c119b6d5c2eec92a0c8bd35a7c59bf3610a
MD5 4fe6c3d1430d3e32fd3743058b4ff7a9
BLAKE2b-256 9ed1caacd465079664dce2d5a0f10086c97f9c402691bb569108ab3daf685285

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page