i was trying to code the equation 7 of Turk,Pentland paper 'eigenfaces
for recognition' The equation says for an image l ,the components in
eigen space is wk=uk.T (l-Psi) where uk is a single eigenface vector
and Psi is the average image
i have an ndarray L that contains data of 1 image per row.
Hi Everybody,
I am a new user of Python.
I have to re-compile Numpy in VC++8.
I download the resource files (numpy-1.0.4.tar.gz) of Numpy at
http://sourceforge.net/project/showfiles.php?group_id=1369package_id=175103
I am not good at software.
I wonder if anybody give me some
Hi,
You can do this if you have Python compiled with VC++8 as well. If not, you
can't. Usually, numpy must be compiled with Visual Studio 7.1 or Mingw.
Matthieu
2008/4/2, yunzhi cheng [EMAIL PROTECTED]:
Hi Everybody,
I am a new user of Python.
I have to re-compile Numpy in VC++8.
I
Hi,
I am creating a custom array type (distributed memory arrays -
DistArray) and I am using the __array__ and __array_wrap__ methods and
__array_priority__ attribute to get these arrays to work with numpy's
ufuncs. Things are working fine when I call a ufunc like this:
# This works fine (c
Hi Travis,
Thanks,
I'll fix this and let you know. (probably tomorrow because I came down
with some nasty real bug... flue or something like that)
C.
Travis E. Oliphant wrote:
Charles Doutriaux wrote:
Hi Travis,
Ok we're almost there, in my test suite i get:
maresult =
Great !! This works for me. Thanks for your help !!
Rgds,
Amit
On Tue, Apr 1, 2008 at 5:36 PM, Robert Kern [EMAIL PROTECTED] wrote:
On Tue, Apr 1, 2008 at 4:21 PM, Amit Itagi [EMAIL PROTECTED] wrote:
This directory is just the Python source distribution (post configure
and
make). I don't
Travis,
Thanks. Here is the text from the numpybook that was confusing me:
From section 9.1.2 on ufuncs:
The ufuncs can also all take output arguments. The output will be cast if
necessary to the provided output array. If a class with an array method is used
for the output, results will be
Hi Izak
On Tue, Apr 1, 2008 at 10:08 AM, izak marais [EMAIL PROTECTED] wrote:
Stéfan wrote:
Unfortunately, RGBA images cannot be read this way.
Apparently it does not work with 16bit greyscale tif images either.
For anyone else stumbling upon this thread, there is a work-about to get the
Hi Gordon
On Tue, Apr 1, 2008 at 5:09 PM, gordon [EMAIL PROTECTED] wrote:
hi
i came across some code for eigenface construction from some
images ,using the old Numeric .
http://www.owlnet.rice.edu/~elec301/Projects99/faces/code.html
In the eigenlib.py
On undefined, Charles R Harris [EMAIL PROTECTED] wrote:
Hi All,
I think it would enhance broadcasting if functions like sum, mean, etc
didn't change the number of dimensions. For example, suppose one wanted to
subtract the mean along dimension 2 from the same axis of the original
array, then
Hi All,
I think it would enhance broadcasting if functions like sum, mean, etc
didn't change the number of dimensions. For example, suppose one wanted to
subtract the mean along dimension 2 from the same axis of the original
array, then something like
In [44]: a = ones((2,3,4,5))
In [45]: a -=
Charles R Harris wrote:
Hi All,
I think it would enhance broadcasting if functions like sum, mean, etc
didn't change the number of dimensions. For example, suppose one
wanted to subtract the mean along dimension 2 from the same axis of
the original array, then something like
In [44]: a
On Wed, Apr 2, 2008 at 4:30 PM, Robert Kern [EMAIL PROTECTED] wrote:
On undefined, Charles R Harris [EMAIL PROTECTED] wrote:
Hi All,
I think it would enhance broadcasting if functions like sum, mean, etc
didn't change the number of dimensions. For example, suppose one wanted
to
On undefined, Charles R Harris [EMAIL PROTECTED] wrote:
On Wed, Apr 2, 2008 at 4:30 PM, Robert Kern [EMAIL PROTECTED] wrote:
On undefined, Charles R Harris [EMAIL PROTECTED] wrote:
Hi All,
I think it would enhance broadcasting if functions like sum, mean, etc
didn't change the
If you're looking for user input ... +1 on having a keepdims capability. I
have myself implemented many such functions with a keepdims=1 keyword. No
real preference on how it's impelemented, though the potential for
breakage is a concern ...
Gary
On Wed, 2 Apr 2008, Charles R Harris wrote:
On Wed, Apr 2, 2008 at 4:40 PM, Travis E. Oliphant [EMAIL PROTECTED]
wrote:
Charles R Harris wrote:
Hi All,
I think it would enhance broadcasting if functions like sum, mean, etc
didn't change the number of dimensions. For example, suppose one
wanted to subtract the mean along
[SNIP]
The text is getting kind of broken up so I'm chopping it and starting from
scratch.
To the question of whether it's a good idea to change the default behavior
of mean and friends to not reduce over the chosen axis, I have to agree with
Robert: too much code breakage for to little gain, so
On undefined, Timothy Hochberg [EMAIL PROTECTED] wrote:
As to what to name it, if it did come to pass. I'm not happy 'keepshape'
since we'd not actually be keeping the shape, just the number of dimensions.
'keepdims' is better, but still seem awkard. I'd prefer something like
'reduce', so the
I think it would enhance broadcasting if functions like sum, mean, etc
didn't change the number of dimensions.
I strongly favor doing it, but with keepshape (or just keep, to make
it short) and not by default. It's at least as common to take a mean
down an axis of a 2D array and plot it
Robert Kern wrote:
On undefined, Timothy Hochberg [EMAIL PROTECTED] wrote:
As to what to name it, if it did come to pass. I'm not happy 'keepshape'
since we'd not actually be keeping the shape, just the number of dimensions.
'keepdims' is better, but still seem awkard. I'd prefer something
Hi Matthieu,
I have to call a commercial software APIs from Python. If I import Numpy and
that software package in one script, they are not compatible. Sometimes error
occurs. But either one of them works well in Python. Just they cannot exist
together.
The supporters of the commercial
Hello,
I know that I am beginning to sound like a broken record, but I think
we are finally ready to roll out NumPy 1.0.5. Since my last email
about 60 bug tickets have been closed. As of tonight I believe that
there is no know regressions to justify further delaying this release.
Unless
Hi,
As I've said, you must start by compiling Python with VC++ 8, that means
using the 2.6 alpha.
Matthieu
2008/4/3, yunzhi cheng [EMAIL PROTECTED]:
Hi Matthieu,
I have to call a commercial software APIs from Python. If I import Numpy
and that software package in one script, they are not
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