Performance of snap desktop and snappy

[marpet]

There is nothing we can do about. It is Python.
See the ‘Concurrency in Python’ section in this article.

The called java code should actually be executed multithreaded. at least for the GPF calls and the execution of operators. The number of threads is determined by the number of cores available.

@juanesburgo have you followed this thread?

Resample all bands of an L2A image

Hi all, After the sen2cor transformation I need to create a GeoTiff from a L2A image, resampling all the bands at 10m. I wrote this python code: from snappy import ProductIO from snappy import jpy from snappy import GPF p = ProductIO.readProduct('S2A_USER_...T101020.xml') #path of the xml file GPF.getDefaultInstance().getOperatorSpiRegistry().loadOperatorSpis() HashMap = jpy.get_type('java.util.HashMap') parameters = HashMap() parameters.put('targetResolution', 10) product=GPF.createProduc…

And just to be sure, have you removed the # in front of the java_max_mem setting?