On Sun, May 25, 2008 at 5:19 AM, Gregor Thalhammer
<[EMAIL PROTECTED]> wrote:
> matplotlib is _not_ a dedicated image manipulation package, so please
> don't blame it that you don't manage to easily use it as such one.
> However, matplotlib indeed offers high quality image scaling abilities
> (at the moment not for downscaling) due to the use of Agg.
While mpl it is not a general purporse image library as you say, it
would be nice if we exposed a minimal set of image functionality so
users could take advantage of agg's nice rescaling. Easy stuff should
be easy.... I did add support for PIL loading in imread, so if you
have it you will use it. Thus in svn you can do, if PIL is installed,
X = imread('somefile.jpg') # or any other format supported by PIL
This will help reduce the boilerplate.
I would like to expose at least a resize and rotation from agg, with a
choice of interpolation schemes, exposed at the array level and not
just the display level. I think agg2.4 also added some new
interpolation schemes designed to support down-sampling which is
useful for large mega-pixel images, and these haven't been exposed
since I wrote the original interpolation options against agg2.3.
In testing this stuff, I found a bug bug in image handling on the
trunk -- if you zoom to part of an image with zoom-to-rect, the part
that you get zoomed to is not the part you select. This is most
apparent if you load an image with easily recognizable features, eg a
picture of a person. This problem is on the trunk but not the branch
-- here is some example code:
In [8]: fig = plt.figure()
In [9]: ax = fig.add_subplot(111)
In [10]: ax.set_aspect('auto')
In [11]: X = imread('/Users/jdhunter/Desktop/IMG_0907.JPG')
In [12]: ax.imshow(X, origin='lower', aspect='auto')
Out[12]: <matplotlib.image.AxesImage object at 0x112586b0>
In [13]: ax.figure.canvas.draw()
In [14]: ax.cla()
In [15]: ax.set_aspect('auto')
In [16]: ax.imshow(X, origin='upper', aspect='auto')
Out[16]: <matplotlib.image.AxesImage object at 0x11258690>
In [17]: fig.canvas.draw()
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