Well, thanks for your example. that's a nice other way to do it but i'm not sure it is more efficient than using jit.matrix object with "Source Dimensions" and "Destination Dimensions".. With my tests, it's should be around 5 ms on my MacBookPro to reduce a matrix from 1200*1200 to 138*138 (i have to reduce horizontaly then verticaly)
When i have time, I'll try to manage [jit.repos], building an adequat "spatial map" for it, to see if it's more efficient or not.
Any other idea or other third-part jitter external to do this, would be welcome..
Actually, using srcdim rather than jit.submatrix is markedly more efficient. Should've offered that version as the example. But really I posted this to show how to use poly~ for this type of stuff - seeing as you posted [Newbie] in the subject of this thread.
jit.repos may be more efficient. Why don't you take the time to do it and post an example.
Here's the altered version of my previous patch, but using srcdim instead of jit.submatrix. I'm not doing any horizontal reduction, but it should be easy for you to implement.
Sorry for the delay, thanks a lot for your patcher!
Well, i mesure that it might not be really more efficient with jit.repos... (unless that, perhaps, if the "copy operations" take place - only - on the 138 first lines, but looking at jit.repos and your patcher, it's not looking like it is possible.)
Anyway, i'm gonna finally copy the 138 lines that i need, like in the first method... but in java with mxj using copyVectorToArrayPlanar jitter-java method, i just found that it should be the more efficient way for me to do it (if cycling74 could take time to correct a bug on this method). i didn't noticed it but half of my programming is in java, inside mxj object. the slowness of the connexions between java and jitter, is the reason for me to "select the 138 lines that i need" before transferring a smaller matrix to a java array. (for more about this, see : https://cycling74.com/forums/index.php?t=msg&th=35075&start=0&rid=2682&S=c99c8ef5033c139c28e669eafc8cb65c )