Skip to main content

Computer vision software for the interpretation of diffraction images

Project description

Darfix is a Python library for the analysis of dark-field microscopy data. It provides a series of computer vision techniques, together with a graphical user interface and an Orange3 (https://github.com/biolab/orange3) add-on to define the workflow.

Installation

To install the last release with all its dependencies run

pip install darfix[full]

To install it with a minimal set of dependencies run

pip install darfix

To install from sources:

git clone https://gitlab.esrf.fr/XRD/darfix.git
cd darfix
pip install -r requirements.txt
pip install .

To test the orange workflow (only from sources) just run

orange-canvas orangecontrib/darfix/tutorials/example_tutorial.ows

Documentation

The documentation of the latest release is available at http://www.edna-site.org/pub/doc/darfix/latest

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

darfix-0.6.1b1.tar.gz (2.3 MB view hashes)

Uploaded Source

Built Distribution

darfix-0.6.1b1-py3-none-any.whl (2.4 MB view hashes)

Uploaded Python 3

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