Skip to main content

Tools for dealing with radiographs produced in DynamiX

Project description

PynamiX

Documentation here, or compile it yourself following the details below).

Installation

Work in progress. Hopefully via pip install pynamix but YMMV. If installing from github, try cloning and then running:

python3 setup.py build
python3 setup.py install

If you make any changes to the source code, re-run those two lines to have your changes reflected in your installed package.

Examples

Try out the included Jupyter notebook to see how to use the package.

Dependencies

Should be handled in pip install for you. Currently requires:

  • python3
  • matplotlib
  • numpy
  • scipy
  • imageio

Documentation

We use sphinx to manage the docs. Update documentation with:

cd docs
make html

Once these are built, you can commit and push the changes to github to have them refreshed on github pages. You can also view them locally.

Roadmap

A sorted implementation list is as follows:

1. Size measurement using the FFT technique
2. Option to choose between FFT and wavelet transform for size measurement
3. Wrapper for James's PIV code
4. Wrapper for James's fake radiograph generator

Deploying to PyPI (just a reminder for Benjy, please don't try this yourself)

Run the following to make a new distribution and upload it to PyPI. Note: You first need to update the version number in setup.py.

python3 setup.py sdist
twine upload dist/*

Code style: black

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

pynamix-0.3.2.tar.gz (41.1 kB view details)

Uploaded Source

File details

Details for the file pynamix-0.3.2.tar.gz.

File metadata

  • Download URL: pynamix-0.3.2.tar.gz
  • Upload date:
  • Size: 41.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.13

File hashes

Hashes for pynamix-0.3.2.tar.gz
Algorithm Hash digest
SHA256 755d0662a69bd7f439351d4539c8b430e9d37c8bbc7ed2a94e68cbc81fe71505
MD5 7afb30770d723cbda1f7e5529e50cbfe
BLAKE2b-256 b75f0a94cac24c91ba07cefe1cbff53fd943aa1c8e74d8a26a52e7e6709729c3

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