>
> a) Work with the 3 components in parallel (that is, use 3 separate
> matrices, one for each component, and regenerate the image at the
> end).
that wd be ok for image generation ..but to calculate covariance
matrix from the set of images i don't know if it wd work
eric
--
http://mail.pyth
On 19 feb, 06:28, vaneric <[EMAIL PROTECTED]> wrote:
> > > def rgbTopixelvalue((r,g,b)):
> > > alpha=255
> > > return unpack("l", pack("", b, g, r, alpha))[0]
>
> > That's much worse than averaging the R,G,B components.
>
> oops!
> the intention was to pack r,g,b components into a single
On 19 feb, 06:55, 7stud <[EMAIL PROTECTED]> wrote:
> On Feb 19, 12:13 am, "Gabriel Genellina" <[EMAIL PROTECTED]>
> wrote:
> > En Tue, 19 Feb 2008 04:01:04 -0200, vaneric <[EMAIL PROTECTED]>
> > escribió:
> > > On Feb 19, 1:38 am, Robert Kern <[EMAIL PROTECTED]> wrote:
> > >> Averaging color
> >
On Feb 19, 12:13 am, "Gabriel Genellina" <[EMAIL PROTECTED]>
wrote:
> En Tue, 19 Feb 2008 04:01:04 -0200, vaneric <[EMAIL PROTECTED]>
> escribió:
>
> > On Feb 19, 1:38 am, Robert Kern <[EMAIL PROTECTED]> wrote:
> >> Averaging color
> >> images is tricky; you really shouldn't do it in the RGB colo
> > def rgbTopixelvalue((r,g,b)):
> >alpha=255
> >return unpack("l", pack("", b, g, r, alpha))[0]
>
> That's much worse than averaging the R,G,B components.
oops!
the intention was to pack r,g,b components into a single value sothat
calculations like finding covariant matrix of a set
En Tue, 19 Feb 2008 04:01:04 -0200, vaneric <[EMAIL PROTECTED]>
escribió:
> On Feb 19, 1:38 am, Robert Kern <[EMAIL PROTECTED]> wrote:
>> Averaging color
>> images is tricky; you really shouldn't do it in the RGB colorspace.
>
> hi,
> thanx for the guidance and detailed replies..I tried to pac
On Feb 19, 1:38 am, Robert Kern <[EMAIL PROTECTED]> wrote:
>Averaging color
> images is tricky; you really shouldn't do it in the RGB colorspace.
hi,
thanx for the guidance and detailed replies..I tried to pack the
r,g,b into a single value like below(something a member posted in the
past)
def
On Feb 19, 1:38 am, Robert Kern <[EMAIL PROTECTED]> wrote:
>Averaging color
> images is tricky; you really shouldn't do it in the RGB colorspace.
hi,
thanx for the guidance and detailed replies..I tried to pack the
r,g,b into a single value like below(something a member posted in the
past)
def r
On Feb 18, 2:05 pm, 7stud <[EMAIL PROTECTED]> wrote:
> num = arr[1:, 2:]
>
> That says to get all elements from row 1 to the bottom that are in
> from column 2 to the end of the row.
err..
That says to get all elements from row 1 to the last row which are in
column 2, column 3, etc. to the end of
On Feb 18, 1:58 pm, 7stud <[EMAIL PROTECTED]> wrote:
> On Feb 18, 10:18 am, vaneric <[EMAIL PROTECTED]> wrote:
>
>
>
> > hi
> > i have a set of RGB images of diff faces (of people )as a 2 dim
> > numpyarray
> > ..something like
> > threefaces=array([[xa1,xa2,xa3],
> > [xb1,xb2,xb3],
> >
On Feb 18, 10:18 am, vaneric <[EMAIL PROTECTED]> wrote:
> hi
> i have a set of RGB images of diff faces (of people )as a 2 dim
> numpyarray
> ..something like
> threefaces=array([[xa1,xa2,xa3],
> [xb1,xb2,xb3],
> [xc1,xc2,xc3]])
> where xa1,xa2,xa3 are tuples each representing rgb va
vaneric wrote:
> hi
> i have a set of RGB images of diff faces (of people )as a 2 dim
> numpyarray
> ..something like
> threefaces=array([[xa1,xa2,xa3],
>[xb1,xb2,xb3],
>[xc1,xc2,xc3]])
> where xa1,xa2,xa3 are tuples each representing rgb values of a pixel
> of first image ..
>
>
vaneric wrote:
> hi
> i have a set of RGB images of diff faces (of people )as a 2 dim
> numpyarray
> ..something like
> threefaces=array([[xa1,xa2,xa3],
>[xb1,xb2,xb3],
>[xc1,xc2,xc3]])
> where xa1,xa2,xa3 are tuples each representing rgb values of a pixel
> of first image ..
>
>
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