> if i want to do an array of PIL image data i can use
> img=Image.open("myimg.jpg") .convert("L")
> pixelarray=img.getdata()
>
convert("L") is a good way to make images grayscale. An option to using
getdata() is to try numpy's array:
pixelarray = numpy.array(img)
this gives lots of possibiliti
>Paul McGuire wrote
> # following approx fromhttp://www.dfanning.com/ip_tips/color2gray.html
> grayscale = lambda (R,G,B) : int(0.3*R + 0.59*G + 0.11*B)
> print [ [ grayscale(rgb) for rgb in row ] for row in sampledata ]
Paul
in PIL handbook ,they mention a Luma transform on page15, under the
im
On Feb 21, 1:41 am, "[EMAIL PROTECTED]" <[EMAIL PROTECTED]> wrote:
> hi guys
> i am trying out PCA analysis using python.I have a set of
> jpeg(rgbcolor) images whose pixel data i need to extract and make a
> matrix .( rows =num of images and cols=num of pixels)
> For this i need to represent an i
On Feb 21, 7:35 pm, "Bronner, Gregory" <[EMAIL PROTECTED]>
wrote:
you can do this using numpy and scipy
> fairly easily, and you can transform PIL arrays into Numpy arrays pretty
> quickly as well.
>
i can use numpy ndarray or matrix once i have a PIL array with
elements in the correct format(ie a
Since nobody has responded to this:
I know nothing about PIL, but you can do this using numpy and scipy
fairly easily, and you can transform PIL arrays into Numpy arrays pretty
quickly as well.
-Original Message-
From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED]
Sent: Thursday, Februa
Hi,
You should convert your data to numpy and make it 1D (for the moment, it is
3D) by calling the ravel() method. Then you can create your covariance
matrix ;)
Matthieu
2008/2/21, [EMAIL PROTECTED] <[EMAIL PROTECTED]>:
>
> hi guys
> i am trying out PCA analysis using python.I have a set of
> j
