In answering my own question, this can be done trivially with PIL.
Here is a self contained example:
In [1]: import httplib
In [2]: from PIL import ImageFile
In [3]: import numpy as np
In [4]: conn = httplib.HTTPConnection('www.therealstevencolbert.com')
In [5]: conn.request('GET', '/dump/IMG_0408_rs.JPG')
In [6]: r1 = conn.getresponse()
In [7]: r1.status
Out[7]: 200
In [8]: data = r1.read()
In [9]: parser = ImageFile.Parser()
In [10]: parser.feed(data)
In [11]: img = parser.close()
In [12]: img.show()
In [13]: numpyimg = np.asarray(img)
In [14]: numpyimg.shape
Out[14]: (768, 1024, 3)
In [15]: numpyimg.dtype
Out[15]: dtype('uint8')
On Tue, Oct 13, 2009 at 11:51 AM, Chris Colbert <sccolb...@gmail.com> wrote:
> Say I use python to talk to a wireless webcamera that delivers images
> via http requests.
>
> I request an image and read it into a buffer, but the image is in jpeg format.
>
> I would like to convert this to a simple RGB format buffer to pass to
> numpy. Has anyone managed this using libjpeg or any other lib?
>
> Cheers!
>
> Chris
>
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