Hi !
I realized that i didn't put the result of the tests i did, so here they
are, if it can help someone else !
Treating the maya part (getting / setting the weights) and the IO part
(writing / reading the file) separately, i tried :
*Maya : *
cmds.skinPercent
MFnSkinCluster.setWeights
Hi Marcus !
Thanks for your answer ! Well, i'm still working on the optimisation,
i used json for the readable info (influences, etc), and cPickle for the
weights array. But i think most of the optimisation should now come from
how to export / import the values to the vertices.
Exporting is
Hey @fruity, how did it go with this? Did you make any progress? :)
I came to think of another constraint or method which to do what you’re
after - in regards to random access. That is, being able to query weights
for any given vertex, without (1) reading it all into memory and (2)
physically
Cool :)
About reading in a file, a little bit at a time, it’s not as difficult as
it seems.
f = open("100gb.json")
At this point, you’ve opened a file of an imaginary 100 gigabytes. What is
the effect on memory? 0. Nada.
Now, if you were to this..
data = f.read()
You’d be in trouble.
Now
actually, the file would be split into 2 parts : the first one would be the
infos that i want the user to be able to modify (a couple of lines), the
second one would be a text of n lines (n being a number of vertices for a
mesh, for instance), that the user will definetly not modify. So you're
cPickle looks great
If you want it to be human readable, you can’t encrypt, compress or
otherwise obfuscate it, so both pickling and zlib is out. But think about
that for a second. If you are talking about multi-megabyte/gigabytes worth
of data, the mere quantity would make it uneditable
