Hi Pavel,
Since you mentioned pyepics and numpy, I'll jump in to recommend a
slightly different waveform -> Image conversion using these:
import Image
import epics
waveform_pv = epics.PV('xx:waveform.VAL')
waveform = waveform_pv.get() # will be a numpy array of unsigned ints
# to get a truncated waveform, pass in the length you'd like:
# waveform = waveform_pv.get(count=400)
width = ?? # that is, you'll have to assert this here.
height = len(waveform)/width
image = Image.frombuffer('L', (width, height), waveform, 'raw', 'L', 0, 1)
image.show()
where you'll have the know the image height and width somehow to
unravel the 1-d waveform. The Image.frombuffer() call is slightly
cryptic, but documented ('L' means 8-bit greyscale -- if you're
waveform held RGB data from a color camera, you'd change that here to
get a color image), and is faster than converting to a string and then
using Image.open().
--Matt
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