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updated release notes
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docs/docs/release_notes.xml

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<!-- ************************************************************************************** -->
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<current>
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New Features:
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- Added a number of tools for working with 3D data:
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- Added the perspective_window which is a tool for displaying 3D point clouds.
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- Added camera_transform. It performs the 3D to 2D mapping needed to visualize 3D
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data.
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- Added point_transform_affine3d as well as functions for creating such transforms:
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rotate_around_x(), rotate_around_y(), rotate_around_z(), and translate_point().
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- Added draw_solid_circle() for drawing on images.
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- Added get_best_hough_point() to the hough_transform.
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- Thanks to Jack Culpepper, the python API for object detection now outputs detection
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confidences.
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- Added lspi, an implementation of the least-squares policy iteration algorithm.
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Non-Backwards Compatible Changes:
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- The shape_predictor and shape_predictor_trainer had a non-optimal behavior when used
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with objects that have non-square bounding boxes. This has been fixed but will cause
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models that were trained with the previous version of dlib to not work as accurately if
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they used non-square boxes. So you might have to retrain your models when updating dlib.
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Bug fixes:
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- Fixed a bug which prevented add_image_rotations() from compiling.
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Other:
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- The imglab tool now allows the user to click and drag annotations around by holding
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shift and right clicking.
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</current>
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<!-- ************************************************************************************** -->
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<old name="18.14" date="Mar 01, 2015">
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New Features:
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- Added spectral_cluster()
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- Added sub_image() and sub_image_proxy
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4x faster in that case.
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- Made it so you can compose point transform objects via operator *.
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</current>
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</old>
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<!-- ************************************************************************************** -->
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