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to work with for multi-resolution image analysis and display
SourceState< T > extends SourceAndConverter< T >
Bdv. Currently I am using BigDataServer with bdv.h5 files. This works well, however our IT-department wants to store the data as S3. Is there something useable in terms of n5/S3 for Bdv?
SharedQueuebeeing passed when using
VolatileViews.wrapAsVolatile(final RandomAccessibleInterval< T > rai, final SharedQueue queue, final CacheHints hints )and the
CacheControlthat I see a bit everywhere when
Volatiletype are involved. My main issue is to make a class that makes a
VolatileSourcefrom a non-volatile source (see here), but I don't know how to deal properly with the cache.
bigdataviewer-vistoolswhich allows for some
bdv.viewer.Sourceto be wrapped as Volatile. (bigdataviewer/bigdataviewer-vistools#38) Probably not optimal, but I think it exposes a current limitation of
BdvFunctions.show(Souce src): it does wrap sources that could be wrapped as volatile. I put an example of such limitation being overcomed in this small video : https://www.youtube.com/watch?v=SdngXeEatqA. Maybe it's the wrong way to solve the limitation (exposing the SourceAndConverter is probably more general), but here it is if you want to have a look.
N5AmazonS3Writer. The best examples would probably be the tests in n5-spark and n5-aws-s3 repositories
-Dspark.master=localthat sets the number of threads to use, or
-Dspark.master=local[*]for using all cores
imglib2-roiquestion: is it possible to sample (random) points on a sphere by taking some
GeomMasks.closedSphere(...).xor(GeomMasks.openSphere(…))? And/or to get a full list of points representing the sphere surface by some Bresenham-like algorithm?
imglib2-roifor this a bad idea, and I should rather take a math function of a sphere and sample points “manually” ?