I am writing some iterative image processing algorithm in a script (I don't want to be using iPython), and I would like to visualize the image I generate after each iteration. That's very easy to do in Matlab, without blocking the main thread, but I am struggling to do it in Python.
In pylab the show() function is blocking and I need to close the window to continue the execution of my script. I have seen that some people use the ion() function, but it has no effect in my case, for example:
pylab.ion()
img = pylab.imread('image.png')
pylab.imshow(img)
pylab.show()
is still blocking. I also saw people saying that "using draw instead of plot" can solve this. However, I am not using plot but imshow/show, is there something that I am missing here?
On the other hand, the PIL also has some display functions, but it seems to generate a temporary image and then display it with imagemagick, so I assume there is no way here to display an image and update it in the same window with this method.
I am using Ubuntu 10.10.
Does anyone know how to do it simply, or do I have to start using something like Qt to have a minimal GUI that I can update easily?
Try using pylab.draw()
instead of pylab.show()
.
pylab.show()
will start a Tk mainloop, hence it is blocking. Whereas pylab.draw()
will force a draw of figure at that point. Since you are using pylab.ion()
, figures are created already. But at the end of the script you have to put a pylab.show()
otherwise figures will be closed when script finishes as there is no mainloop. One side effect is that, you can't interact with the figures until you reach pylab.show()
.
you can try to thread your pylab stuff :
import pylab
import threading
pylab.ion()
img = pylab.imread('map.png')
def create_show():
pylab.imshow(img)
pylab.show()
thread = threading.Thread(target=create_show)
thread.start()
#do your stuff
thread.join()
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