Skip to main content

A tool for segmentation of grayscale evolution from 4D tomograhphy data (or other images)

Project description

evoSegment

This is a tool to segment microstructural evolution from 4D tomography data (or other image data).The method is based on clustering of a 2D histogram built from the intensities in a reference state and in an evolved state.

Installation

The easiest is to install the package from PyPI using python3 -m pip install evosegment

It is also possible to clone the repository, build and install a local wheel. Something like this might work:

 git clone https://gitlab.com/jhektor/evoSegment.git
 cd evoSegment
 python3 -m build
 python3 -m pip install -e .

Using this approach will install the package in an editable way so that any changes you make to the code are reflected without reinstalling.

Usage

Have a look at the example.ipynb!

License

This software is licensed under the GNU General Public Licence v3.0 or later.

Support

Send an email to johan.hektor@mau.se or open an issue on gitlab if you have any questions.

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

evosegment-0.0.7.tar.gz (4.4 MB view details)

Uploaded Source

Built Distribution

evosegment-0.0.7-py3-none-any.whl (4.5 MB view details)

Uploaded Python 3

File details

Details for the file evosegment-0.0.7.tar.gz.

File metadata

  • Download URL: evosegment-0.0.7.tar.gz
  • Upload date:
  • Size: 4.4 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.9.6

File hashes

Hashes for evosegment-0.0.7.tar.gz
Algorithm Hash digest
SHA256 e823523d1d0f398140c130138591f3c26613d03200a46c0a9f6ceb0b28079507
MD5 3d4faeca29371d1fa3d4ae45826d9cc6
BLAKE2b-256 49bfab27e9d9720a32b973ecb8e9fbdcf8d9c2a63c42c39f595b2193992825dc

See more details on using hashes here.

File details

Details for the file evosegment-0.0.7-py3-none-any.whl.

File metadata

  • Download URL: evosegment-0.0.7-py3-none-any.whl
  • Upload date:
  • Size: 4.5 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.9.6

File hashes

Hashes for evosegment-0.0.7-py3-none-any.whl
Algorithm Hash digest
SHA256 a06aac7a8ee0908962b38f9b0a2b51c2d59a4523fdcf18d09c72f91ec2aef938
MD5 d99b7f7d4baeb8e0ebd6cddcd5a41c29
BLAKE2b-256 0c0b53a173c6f869c2ec8026663d0159aaec14a45ff7d4267b7abb73f89c11f0

See more details on using hashes here.

Supported by

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