An openCV based Python project for processing Kerr microscopy image. KerrPy is used to extract ellipse fits of bubble domains created under the application of out-of-plane and in-plane fields. These fits are used to estimate the underlying Dzyaloshinskii Moriya interaction (DMI)
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Anaconda (preferably 64 bit) for managing Python environments.
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A Python environment
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Installation of dependencies
Every Python project is recommended to have a separate python environment. There are two ways to create a new environment.
A walkthrough of the installation is given in YouTube video of installation walkthrough
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Activate the environment
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Install packages in the environment
core packages | image processing packages | IDE packages |
---|---|---|
numpy | opencv | spyder |
scipy | ||
matplotlib |
Anaconda maintains "channels" for storing repositories. Core packages are available in standard/default channel. So can be directly downloaded whereas opencv is present in "conda-forge" channel. conda-forge is a community maintained channel. The community is comprised mostly of researchers. So we need to add conda-forge channel to the environment.
Newer versions of Anaconda has opencv
in the default channel
So no need to add conda-forge
However latest versions of opencv
may not be supported in the default.
However we will install the default channel version.
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through command line. Use the
environment.yml
in the top level directory.conda env create -f environmentKerrPy.yml
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activate the environments
conda activate envKerr