I coded a naive Blinkscript DCT (and inverse) implementation a while
back, you can check the code and use as a start for a better
implementation.
http://www.nukepedia.com/blink/other/dct-discrete-cosine-transform
Magno.
On Mon, 20 Mar 2017 03:39:40 -0400, Mads Lund <madshl...@gmail.com> wrote:
we did some CPU vs FFT tests aswell, but I can't remember the exact
kernel size where FFT started to be more efficient, but it was rather
low. On the flip side Convolve >on the GPU seem to have some memory
problems and (at least for us) cause some random out of memory issues,
even on beefy cards.
We found that using gaming techniques: up-scaling low frequency areas
(then convolving) and only full convolving of high frequency areas to be
to be quite efficient for >the vast majority of our renders where the
plate is gigantic or a large kernel size is needed.
The result is perceptually indistinguishable.
man. 20. mar. 2017 kl. 06.14 skrev Deke Kincaid <dekekinc...@gmail.com>:
The convolve node was fixed up quite a while a go(4-5 years ago, it is
what the zdefocus is based on). In our tests though we still find the
FFT nodes faster on the >>farm vs convolve in CPU mode. If you have a
gpu farm then convolve is faster.
On Sun, Mar 19, 2017 at 6:23 PM Michael Habenicht <m...@tinitron.de>
wrote:
The latest version of the convolve node has gpu support.
Am 20.03.2017 um 01:20 schrieb jon parker:
Greetings Nuke users,
I'm just wondering if there are any faster, more robust FFT tools
available for Nuke besides the (hidden) built-in nodes?
The built-ins do the job, but they are pretty slow and definitely
prone to crashing fairly often.
Or, alternatively, something that does fast image convolution, some
other way, under the hood could work too.
Cheers,
Jon
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--Best regards. Mads Hagbarth Lund
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