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updated docs
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<item>scan_image_movable_parts</item>
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<item>find_points_above_thresh</item>
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<item>scan_image_pyramid</item>
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<item>find_candidate_object_locations</item>
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<item>test_box_overlap</item>
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<item nolink="true">
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<name>Scan Image Pyramid Tools</name>
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</component>
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<!-- ************************************************************************* -->
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<component>
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<name>find_candidate_object_locations</name>
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<file>dlib/image_transforms.h</file>
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<spec_file link="true">dlib/image_transforms/segment_image_abstract.h</spec_file>
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<description>
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This function takes an input image and generates a set of candidate
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rectangles which are expected to bound any objects in the image. It does
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this by running a version of the <a href="#segment_image">segment_image</a> routine on the image and
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then reports rectangles containing each of the segments as well as rectangles
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containing unions of adjacent segments. The basic idea is described in the
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paper:
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<blockquote>
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Segmentation as Selective Search for Object Recognition by Koen E. A. van de Sande, et al.
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</blockquote>
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Note that this function deviates from what is described in the paper slightly.
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See the code for details.
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</description>
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</component>
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<!-- ************************************************************************* -->
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<component>
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<term file="imaging.html" name="label_connected_blobs"/>
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<term file="imaging.html" name="segment_image"/>
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<term file="imaging.html" name="find_candidate_object_locations"/>
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<term file="dlib/image_transforms/segment_image_abstract.h.html" name="remove_duplicates"/>
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<term file="imaging.html" name="neighbors_8"/>
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<term file="imaging.html" name="neighbors_4"/>
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<term file="imaging.html" name="connected_if_both_not_zero"/>
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