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Something like this: |
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thanks Taoning - this is great and very useful! One (stupid) question though - does the matrix_multiply_rgb function return a numpy array? I wonder if it's output could be piped directly to other radiance utilities like rcomb for instance, or is there any other frads function one needs to use to translate the numpy array into something that Radiance can directly work with ? many thanks for the excellent work with pyradiance and frads! |
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also, if one of the matrices to be multiplied is a BSDF in XML format, would fr.load_matrix() still be the way to go? or is there another function for that ? I am trying to implement this in a five-phase method workflow. |
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Yes the return values is a numpy array. and |
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thanks Taoning - very helpful to know. Wish you a pleasant day ahead. Best, |
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Hello,
I have a pre-defined workflow which is working quite well for me, however I would like to use numpy based multi-processing from frads to speed up multiplication of binary matrices & xml files.
I am trying to use "dctsnp" as shown in the radiance workshop in Bilbao:
extension://bfdogplmndidlpjfhoijckpakkdjkkil/pdf/viewer.html?file=https%3A%2F%2Fwww.radiance-online.org%2Fcommunity%2Fworkshops%2F2021-bilbao-spain-2%2Fpresentations%2F19_thursday%2Ffrads.pdf
I am running WSL and have setup a virtual environment for python, currently I tried to use it like so (without success):
python3 -c "import frads; dctsnp -m /matrices/cds/cdsDDS.mtx -s /skyVectors/NYCsunM4.smx -o /matrices/tempRSun.mtx"
However it seems like a lot has changed between 2021 and now, and I would be grateful if you could kindly let me know how to achieve the same functionality as of the frads of today :)
It would also be helpful to be able to define the number of processors to be used for this task.
With Gratitude,
Hamza
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