The most convenient way I used in the past where memory mapped files. Numpy supports memmapped arrays that (in most cases) behave just like regular ndarrays. https://docs.scipy.org/doc/numpy-1.15.1/reference/generated/numpy.memmap.html
We used it to store raw video data with hundreds/thousands of frames and display them in an ImageView. Of course you're at the whims of your Operating system and numpy to handle the on-the-fly loading efficiently, but it's a quick and easy way to handle big amounts of data without additional libraries and self-made solutions. Regards, Sebastian Am Montag, 29. Oktober 2018 05:50:41 UTC+1 schrieb Dennis Norton: > > I'm wondering if there is a convenient way to use the ImageView class to > display images either from a list of files in a directory or from a large > binary file consisting of multiple frames. > > Could we create a generator which yields the numpy arrays to display? > > Thanks. > > -- You received this message because you are subscribed to the Google Groups "pyqtgraph" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. To view this discussion on the web visit https://groups.google.com/d/msgid/pyqtgraph/89b3e7c6-1542-440e-b2d8-661e8a9e7d57%40googlegroups.com. For more options, visit https://groups.google.com/d/optout.
