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For the moment we're using Exif.CanonSi.0x000c key from Exiv2 namespace
since it's an unknown tag to it. This may need little tweaking in the
future when proper naming becomes upstream.
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This brings a new HAS_EXIF define which is present when
EXIF information are available. Templates have been modified
to inform user when not available.
The test for EXIF metadata presence is fairly basic, we only look
for aperture, focal length and exposure time attributes. This might
be a subject to change in the future.
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This allows much greater flexibility from templates regarding
EXIF metadata handling, no more hardcoded symbols. It's possible
to display essentially any attribute known to Exiv2. Please see
http://exiv2.org/metadata.html
This brings two new functions that can be called from templates:
* get_exif_value (exiv2_attribute)
* get_exif_value_fixed (exiv2_attribute)
Both functions take a string argument of metadata attribute name
from Exiv2 namespace. The difference is that get_exif_value_fixed()
does some extra formatting for several basic attributes
(e.g. datetime format).
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This comes with a cost of decoding full image when only getting image size.
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Disabled by default, only very simple center crop implemented.
The SQUARED_SIMPLE_SHAVE_AMOUNT constant may be slightly adjusted
according to future experience. It's a really dumb algorithm which
may not be suitable for every picture.
Looking for a fast and smart algorithm to determine image weight center
and radius, i.e. focus on object of interest. The OpenCV's face recognition
features are worth to test and consider, though I fear the speed issues.
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