Hi,
I've converted all of the code to use record arrays, for a 10-fold speed
boost. Thanks,
Ian
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On Friday 23 July 2010 10:16:41 Ian Mallett wrote:
> self.patches.sort( lambda x,y:cmp(x.residual_radiance,y.residual_radiance),
> reverse=True )
Using sort(key = lambda x: x.residual_radiance) should be faster.
> Because I've never used arrays of Python objects (and Googling didn't turn
> up any
Fri, 23 Jul 2010 01:16:41 -0700, Ian Mallett wrote:
[clip]
> Because I've never used arrays of Python objects (and Googling didn't
> turn up any examples), I'm stuck on how to sort the corresponding array
> in NumPy in the same way.
I doubt you will gain any speed by switching from Python lists to
Ian Mallett wrote:
> self.patches.sort( lambda
> x,y:cmp(x.residual_radiance,y.residual_radiance), reverse=True )
>
...
>
> more, but I couldn't figure out how I'd handle the different attributes
> (or specifically, how to keep them together during a sort).
I'm not sure you gain much using num
Hi,
So working on the radiosity renderer:
http://a.imageshack.us/img186/2479/image2f.png.
The code now runs fast enough to generate the data required to draw that.
Now, I need to optimize the radiosity calculation, so that it will converge
in a reasonable amount of time. Right now, the individua
