Live Editor and view neural network

Question

Grzegorz Knor 2017-7-27

1
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此问题的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/350479-live-editor-and-view-neural-network

评论： Baptiste Ottino 2017-8-8

Hi,

I would like to add a neural network graphical diagram to my live script. Unfortunately command view produces new window instead of adding diagram to the live script.

To be clear, this code (in a Live Editor) attaches output of plot command directly to the live script, but does not include neural network diagram:

plot(1:10)
net = patternnet;
view(net)

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Answer 1

Baptiste Ottino 2017-8-8

2
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此回答的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/350479-live-editor-and-view-neural-network#answer_277179

You are experiencing this problem because the view(net) function does not output a figure, it outputs a Java object. I don't know a perfect work around, but you can try this:

 function newView(net)
 jframe = view(net);
 %# create it in a MATLAB figure
 hFig = figure('Menubar','none', 'Position',[100 100 565 166]);
 jpanel = get(jframe,'ContentPane');
 [~,h] = javacomponent(jpanel);
 set(h, 'units','normalized', 'position',[0 0 1 1])
 %# close java window
 jframe.setVisible(false);
 jframe.dispose();

I found this solution here. With this, you can have your network as a figure, and it will appear in the livescript. The only remaining issue is that the undocked figure window doesn't close once it has been plotted in the livescript, which is peculiar.

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Grzegorz Knor 2017-8-8

Thank you for your answer. I've modified it a little bit, and now figure window can be closed automatically:

function  outH = newView(net)
jframe = view(net);
%# create it in a MATLAB figure
hFig = figure('Menubar','none', 'Position',[100 100 565 166]);
jpanel = get(jframe,'ContentPane');
[~,h] = javacomponent(jpanel);
set(h, 'Parent', hFig, 'units','normalized', 'position',[0 0 1 1])
%# close java window
jframe.setVisible(false);
jframe.dispose();
% capture figure as a frame
F = getframe(hFig);
% close current figure
close(hFig)
% display the captured image data using imshow
hFig = figure('Menubar','none', 'Position',[100 100 565 166]);
axes('units','normalized', 'position',[0 0 1 1])
imshow(F.cdata)
axis off
% return handle if needed
if nargout == 1
    outH = hFig;
end