I have a friend who's having strange memory issues when opening and
displaying images (using Matplotlib).
Here's what he says:
#######################################
pylab seems really inefficient: Opening a few images and displaying them
eats up tons of memory, and the memory doesn't get freed.
Starting python, and run
In [5]: from glob import *;
In [6]: from pylab import *
python has 33MB of memory.
Run
In [7]: i = 1
In [8]: for imname in glob("*.JPG"):
...: im = imread(imname)
...: figure(i); i = i+1
...: imshow(im)
...:
This opens 10 figures and displays them. Python takes 480MB of memory. This
is crazy, for 10 images -- 40+MB of memory for each!
In [14]: close("all")
In [15]: i = 1
In [16]: for imname in glob("*.JPG"):
im = imread(imname)
figure(i); i = i+1
imshow(im)
....:
....:
This closes all figures and opens them again. Python takes up 837MB of
memory.
and so on... Something is really wrong with memory management.
##### System info: ##############
(using macosx backend)
2.4GHz MacBook Pro Intel Core 2 Duo
4GB 667MHz DDR2 SDRAM
In [5]: sys.version
Out[5]: '2.6.2 (r262:71600, Oct 1 2009, 16:44:23) \n[GCC 4.2.1 (Apple Inc.
build 5646)]'
In [6]: numpy.__version__
Out[6]: '1.3.0'
In [7]: matplotlib.__version__
Out[7]: '0.99.1.1'
In [8]: scipy.__version__
Out[8]: '0.7.1'
In [9]:
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