Marcel, It sounds like you want use IPython traitlets <http://ipython.org/ipython-doc/dev/api/generated/IPython.utils.traitlets.htm...>, something like: from IPython.utils.traitlets import HasTraits, Float, on_trait_change, Anyfrom skimage.viewer import ImageViewer class Pipeline(HasTraits): param1 = Float(0.1) param2 = Float(0.2) param3 = Float(0.3) viewer = Any @on_trait_change('param1, param2') def use_previous_function(self): # do something with previous function @on_trait_change(''param3') def use_next_function(self): # do something with next function v =ImageViewer(...) p = Pipeline(viewer=v) On Thursday, January 29, 2015 at 8:35:21 AM UTC-6, Marcel Gutsche wrote: Hi Juan,

thanks for the hint. That could work, but i forgot to mention, that the previous function is quite expensive to compute, so I would like to update the first one only, if the slider for its parameter is touched. Right now i try to reduce the amount of recomputations with memoization using the joblib module, but I think I need a while to figure out when exactly values are cached.

Marcel

Am Donnerstag, 29. Januar 2015 12:01:14 UTC+1 schrieb Juan Nunez-Iglesias:

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Hi Marcel,

I'm guessing you only need to see the final output of the pipeline? Why not define your own function?

def piped(image, parameter1, parameter, another_parameter): a, b = previous_function(image, parameter1, parameter) new_image = next_function(image, a, b, another_parameter) return new_image

Then use that in your plugin?

Juan.

On Thu, Jan 29, 2015 at 7:58 PM, Marcel Gutsche <marcel....@gmail.com> wrote:

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Hi folks,

kind of a follow up question of my last one (see here <https://groups.google.com/forum/#%21topic/scikit-image/WXrwvxFd8xA>). <https://groups.google.com/forum/#%21topic/scikit-image/WXrwvxFd8xA> I still have a chain of image processing tasks, which I want to visualize with the image viewer. Certain parameters should be changed on the fly, where i can see the results in the image viwer immediately by the use of plugins. Something like this basically:

a, b = previous_function(image, parameter1 = 0.002 parameter = 0.02) new_image = next_function(image, a, b, another_parameter = 3)

I managed to pass the values a and b, generated by a previous function using Juan's hint with functools.

next_function

which was fine as long as I don't want to change parameter1 and parameter2 interactively. What do I do now, when I want to change them?

Using functools here won't get me far, since now I want to be able to change parameter1 and parameter2 with a slider, as well as another_parameter.

Maybe there is still a way to achive this, I saw something like a callback argument for the widgets, but I am not sure how to use them or whether they are related to my problem at all. I would also be fine with writing my own Plugin class, but could not get my head around the given examples. I feel that something like this is quite common, so I hope there are already ways to achieve this.

Thanks a lot for the great work, Marcel

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