How to get the coordinates of the mouse when it is clicked over an image/labels layer?

Usage & Issues
#1

Hi,

is it possible in Napari to get the coordinates of the mouse when it is clicked over an image/labels layers?. In particular, I am interested in implementing a method that would be triggered when I click over an image/labels layers, and inside that method I would use the coordinates of the mouse to extract information about the pixel at that particular locations, e.g., image[x, y], labels[x,y], and then show some additional information on the status bar (is it possible to modify/append the text shown on the status bar?).

I took a look at the napari example " examples/ custom_mouse_functions.py", but it does not run:

@viewer.mouse_press_callbacks.append
AttributeError: ā€˜Viewerā€™ object has no attribute ā€˜mouse_press_callbacksā€™

Thank you very much for all the help :wink:

#2

Ah! That needs to be updated. We realised that we could implement mouse presses with the same function as mouse drags. So you can replace @viewer.mouse_press_callbacks.append with @viewer.mouse_drag_callbacks.append and itā€™ll just work! Iā€™ll fix the example shortly. :grimacing:

Additionally, look at the mouse_drag_callback.py example in the same folder to see how to modify the status bar message.

#3

Thank you very much @jni, I did what you suggested me at everything works fine! ;).
@jni , Iā€™ve just watched a talk about Napari (Interactive Image Processing at Scale, excellent talk!). In this talk, it was mentioned that you implemented a very nice example combining tensorflow/tensorboard and Napari, is it publictly available?..if so, could you please tell me where can I see such example? :slight_smile:

Thank you very much!

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#4

itā€™s quite late in australiaā€¦ so in case weā€™ve missed @jni for the day, here is his ā€œnapariboardā€ prototype repo:

and here is a tweet from him with a little extra context:

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#5

Great!, thank you very much @talley.
By the way, wonderful talk! (Interactive Image Processing at Scale), you and @sofroniewn gave an excellent Napari/Dask introduction! ;), I have learned a lot! :slight_smile:

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