Gamera

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- sourceforge logo can optionally be suppressed in gendoc by
passing sourceforge_logo=False to gendoc.gendoc

- draw_text works again (thanks to S\oren Bjerregaard Vrist)

- new page segmentation plugin bbox_merging

- plugin projection_cutting no longer crashes, but still
needs further improvement in the presence of noise

- extensions in kdtree:
o new method set_distance for dimension weighting
o k_nearest_neighbors now supports an optional search predicate

- classifier display can be closed and opened again

- corrected slider display in Biollante

- fixed errors in draw_hollow_rect and knn_editing

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- plugins to_numpy and from_numpy added for support of numpy;
the deprecated numeric and numarry modules have been replaced with numpy

- highlight also works with GREYSCALE and ONEBIT images

- corrected resize function in VIGRA

- the knn classifier can now return different confidence
measures for the main id that are selectable by the
user. See the classifier API documentation for details.

- knn classifier now works as expected when k > 1;
up to now, id_name was sorted by confidence, which meant
that always the farthest among the k nearest neighbors
was returned as main_id

- now compiles with Python 2.6 (thanks to Prapat Suriyaphol)

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- fixed an infinite loop in classifier dialog on Windows

- new module KdTree for fast two dimensional searches

- now also builds out-of-the box on FreeBSD (thanks to David Blewett)

- new plugin median() in category "List"
also available on the C++ side as a template in listutilities.hpp

- new C++ wrapper class canonicPyObject in gameramodule.hpp to make
PyObject* usable in STL container classes, e.g. vector<canonicPyObject>

- fixed problem with weak image references in classifier dialog

- Don't show right-click menu when there is no shell

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- new plugin textline_reading_order() in category "Page Segmentation"

- corrected the moments() feature to actually return
the normalized central moments

- fixed a severe bug in the rotate() function

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- added automatic editing algorithms for removing outliers and superfluos
samples to kNN classifiers
see the classifier API documentation for details
(thanks to Colin Baumgarten)

- new plugin category "Page Segmentation"
with two basic algorithms based on runlength smearing and projections
see the plugin documentation for details

- ported to wxPython 2.8