Retistruct now has an API for passing outline-coordinates through the reconstruction, returning phi,lambda coordinates.
Goal: change the UX so the first step is using Retistruct independently to get from the raw data to the reconstructed AnnotatedOutline object. serialize it as an .rda or .rdata
create an R endpoint for
value_measurements <- getSphericalCoordinates("path/reconstructed_retina.rda", CSV of points in outline-coordinates=densitymeasurementsDF)shaded_coords <- getSphericalCoordinates("path/reconstructed_retina.rda", CSV of points in outline-coordinates=falciformCoordinatesDF)
Retistruct now has an API for passing outline-coordinates through the reconstruction, returning phi,lambda coordinates.
Goal: change the UX so the first step is using Retistruct independently to get from the raw data to the reconstructed AnnotatedOutline object. serialize it as an .rda or .rdata
create an R endpoint for
value_measurements <- getSphericalCoordinates("path/reconstructed_retina.rda", CSV of points in outline-coordinates=densitymeasurementsDF)
shaded_coords <- getSphericalCoordinates("path/reconstructed_retina.rda", CSV of points in outline-coordinates=falciformCoordinatesDF)
then pass those to mapping functions