Save listener Callback in eps format or any high resolution format
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Reinforcement Learning
2021 年 3 月 28 日
編集済み: Reinforcement Learning
2021 年 4 月 1 日
Hello,
for the Cart-Pole example and Training result (Episode Reward Chart) in RL Toolbox I am getting a static figure, that I can't save in anyway other than with the snipping tool which ruins the quality. I also tried to use the saveas command like here, but the eps or png file is coming empty and a figure 2 is opening.
Any help is much appreciated!
6 件のコメント
Rik
2021 年 3 月 29 日
You might need to use some tricks to get to the figure handle. The example below shows how you could try. I don't have the required toolboxes, so it is hard for me to experiment.
env = rlPredefinedEnv("CartPole-Discrete");
x=plot(env);
fig = getHiddenProp(x,'Figure');
saveas(fig, 'png_saved','png')
%confirm saving worked:
I=imread('png_saved.png');
figure,imshow(I)
function varargout=getHiddenProp(obj,PropType)
% Retrieve a hidden property from an object
% Use with care, this maight break for any release.
% If there are multiple objects, the first will be selected.
% If there are multiple matches, they will be returned in multiple outputs.
w=warning('off','all');
x=struct(obj);
warning(w);
if numel(x)>1,x=x(1);end
if numel(x)<1,varargout={};return,end
fn=fieldnames(x);
y=cellfun(@(elem) ...
ismember(cellstr(PropType),...
regexprep(class(x.(elem)),'.*\.','')... strip matlab.graphics.axis.Axes to Axes etc
),fn);
varargout=fn(y);
for n=1:numel(varargout)
varargout{n}=x.(varargout{n});
end
end
採用された回答
Emmanouil Tzorakoleftherakis
2021 年 3 月 29 日
Hello,
If you are using R2020b, you can use
help rlPlotTrainingResults
to recreate the Episode manager plot and save it as you need.
Hope that helps
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