Hi,
A few questions regarding this:
1. As we know the Matplot will create new children if we call it without
closing the previous one. So the following code will produce different
behavior for 5.5.2 and 6.
for cnt = 1:n
a = rand(480,640,3);
Matplot(a);
end
if n about 100
Scilab 5.5.2 : Memory shown in task manager will goes up to above 1 G,
and clear after closing windows
Scilab 6 : Memory shown in task manager will goes up a certain level
(less tan 1 G), and show message "Can not allocate 7.37 MB memory."
(7.37 varies for every run). Figure could not be closed with the "x"
button on upper right, but able to closed by xdel.
if n is big...
Scilab 5.5.2 : Run until the critical error message shown
Scilab 6 : Crash and close
2. To solve this in Scilab 5.5.2, we usually assign the data directly
into the Matplot children data. However, in Scilab 6, when we run:
a = uint8(zeros(480,640,3));
a(:,:,1) = uint8(255);
a(:,:,2) = uint8(180);
a(:,:,3) = uint8(60);
Matplot(a);
// View the image first before running following lines
h = gcf();
h.children.children.data = a;
Even we assigned back the same variable, the orientation of the data is
wrong and the image is wrongly plot on the figure. The above example
will show orange color in the first plot, and after assigning the same
data back into the Matplot children data, the 3 layers are arrange in
wrong order resulting wrong display.
Thanks.
Regards,
Chin Luh
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