A python package to read, analyse and visualize OCT and fundus data form various sources.
Use Python to import, analyse and visualize retinal imaging data.
The eyepy python package provides a simple interface to import and process OCT volumes. Everything you import with one of our import functions becomes an EyeVolume object which provides a unified interface to the data. The EyeVolume object provides methods to plot the localizer (fundus) image and B-scans as well as to compute and plot quantifications of voxel annotations such as drusen. Check out the documentation, especially the Cookbook chapter, for more information.
To install the latest version of eyepy run pip install -U eyepie. It is eyepie and not eyepy for installation with pip.
When you don't hava a supported OCT volume at hand you can check out our sample dataset to get familiar with eyepy.
from eyepy.data import load
ev = load("drusen_patient")
If you have data at hand use one of eyepys import functions.
# Import HEYEX E2E export
ev = ep.import_heyex_e2e("path/to/file.e2e")
# Import HEYEX XML export
ev = ep.import_heyex_xml("path/to/folder")
# Import HEYEX VOL export
ev = ep.import_heyex_vol("path/to/file.vol")
# Import Topcon FDA export
ev = ep.import_topcon_fda("path/to/file.fda")
# Import volume from Duke public dataset
ev = ep.import_duke_mat("path/to/file.mat")
# Import volume form RETOUCH challenge
ev = ep.import_retouch("path/to/volume_folder")
FAQs
A python package to read, analyse and visualize OCT and fundus data form various sources.
We found that eyepie demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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