is scikits.image.io documented anywhere?
On Tue, Apr 26, 2011 at 11:45 AM, Zachary Pincus <zachary.pin...@yale.edu> wrote: > > On Apr 26, 2011, at 2:31 PM, Daniel Lepage wrote: > >> You need PIL no matter what; scipy.misc.imread, scipy.ndimage.imread, >> and scikits.image.io.imread all call PIL. > > scikits.image.io also has a ctypes wrapper for the freeimage library. > I prefer these (well, I wrote them), though apparently there are some > 64-bit issues (crashes?). I haven't been working on a 64-bit system so > I haven't been able to address them, but I will be soon. It's a very > thin wrapper around a simple image IO library, so there's lots of room > to add and extend as need be... > > All of the PIL wrappers are kluges around serious flaws in how PIL > reads images, particularly non-8-bit images and in particular non- > native-endian 16-bit images. > > Zach > > >> Theoretically there's no difference between any of them, although in >> actuality some use "import Image" and others use "from PIL import >> Image"; one of these may fail depending on how you installed PIL. (I'm >> not sure which is supposed to be standard - the PIL docs use both >> interchangeably, and I think the latest version of PIL on pypi sets it >> up so that both will work). >> >> I'd use whichever tool you're already importing - if you're using >> ndimage anyway, just use ndimage.imread rather than adding more >> imports. >> >> Note that using PIL directly is easy, but does require adding an extra >> step; OTOH, if you're familiar with PIL, you can use some of its >> transformations from the start, e.g. >> >> def imread(fname, mode='RGBA'): >> return np.asarray(Image.open(fname).convert(mode)) >> >> to ensure that you always get 4-channel images, even for images that >> were initially RGB or grayscale. >> >> HTH, >> Dan >> >> On Tue, Apr 26, 2011 at 2:00 PM, Mathew Yeates >> <mat.yea...@gmail.com> wrote: >>> Hi >>> What is current method of using ndiimage on a Tiff file? I've seen >>> different methods using ndimage itself, scipy.misc and Pil. >>> >>> Mathew >>> _______________________________________________ >>> NumPy-Discussion mailing list >>> NumPy-Discussion@scipy.org >>> http://mail.scipy.org/mailman/listinfo/numpy-discussion >>> >> _______________________________________________ >> NumPy-Discussion mailing list >> NumPy-Discussion@scipy.org >> http://mail.scipy.org/mailman/listinfo/numpy-discussion > > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@scipy.org > http://mail.scipy.org/mailman/listinfo/numpy-discussion > _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
