Cool. Thanks! I will take a look at this. We have some code in scikits.image that creates a QImage from the numpy data buffer for display. But I have only implemented it for RGB888 so far. So you may have saved me some time :)
Cheers! Chris 2009/12/2 Hans Meine <[email protected]>: > Hi, > > I have just uploaded a first release of qimage2ndarray, a tiny python > extension for quickly converting between QImages and numpy.ndarrays > (in both directions). These are very common tasks when programming e.g. > scientific visualizations in Python using PyQt4 as the GUI library. > > Similar code was found in Qwt and floating around on mailing lists, > but qimage2ndarray has the following unique feature set: > > * Supports conversion of scalar and RGB data, with arbitrary dtypes > and memory layout, with and without alpha channels, into QImages > (e.g. for display or saving using Qt). > > * Using a tiny C++ extension, qimage2ndarray makes it possible to > create ndarrays that are *views* into a given QImage's memory. > > This allows for very efficient data handling and makes it possible > to modify Qt image data in-place (e.g. for brightness/gamma or alpha > mask modifications). > > * qimage2ndarray is stable and unit-tested: > > * proper reference counting even with views (ndarray.base points to > the underlying QImage) > > * handles non-standard widths and respects QImage's 32-bit row > alignment > > * Masked arrays are also supported and are converted into QImages > with transparent pixels. > > * Supports value scaling / normalization to 0..255 for convenient > display of arbitrary NumPy arrays. > > The extension is open source, BSD-licensed, and available via PyPI or here: > > http://kogs-www.informatik.uni-hamburg.de/~meine/software/qimage2ndarray/ > > I hope this is useful to many of you and look forward to your feedback, > Hans > > PS: Now that I am announcing this, I suddenly have the feeling that I should > have talked with some lawyer (or Phil) about possible license issues because > of PyQt. I really hope there will not turn out to be problems with this. > _______________________________________________ > NumPy-Discussion mailing list > [email protected] > http://mail.scipy.org/mailman/listinfo/numpy-discussion > _______________________________________________ NumPy-Discussion mailing list [email protected] http://mail.scipy.org/mailman/listinfo/numpy-discussion
