This is based on a text file that I came across in a demo app that I
downloaded somewhere and can't seem to find anymore in the context of
normalizing the brightness of the image. Sorry, I probably could have
thrown
that in, but not knowing what a "best fit linear filter" is, and the fact
that there's no further explanation in the text file, I'm not really sure
what information is needed to answer my question.
The images are supposed to go into a neural net which does face
recognition
with the images.
And on a scale of 1 to 10 with 10 being the most dickish reply, yours
rates
about an 8.
The text says that the image needs to be scaled down to 64x64, tha the
image
"aruzinsky" <aruzinsky@[EMAIL PROTECTED]
> wrote in message
news:86fabae4-cedd-400d-95f3-8deccfae6c59@[EMAIL PROTECTED]
Jul 23, 7:36 am, "Fredo" <fr...@[EMAIL PROTECTED]
> wrote:
> I have an image that I'm told I need to do a best fit linear filter on,
> but
> I'm not exactly sure what that means and searches on it keep leading me
to
> linear regression, which I don't think is what I want, but maybe it is.
>
> Can someone give me some help here? If it's a linear regression and the
> pixel brightness (they're 8-bit greyscale) is X, what is Y?
>
> Thanks.
Too vague. On a 1 to 10 scale, with 10 the most vague, your question
is a 9.5.
What are you trying to do with the filter? Am I supposed to assume
that the person who told you that isn't an idiot?
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