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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/darfix_example2.ows

To test a workflow execution without the canvas (only from sources) just run

darfix -wf orangecontrib/darfix/tutorials/darfix_example2.ows -fd orangecontrib/darfix/tutorials/ -td /tmp/darfix

Documentation

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

Project details


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