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updated docs

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Davis King 2013-08-17 22:17:15 -04:00
parent 09b4ec67eb
commit 7da29fb98b
3 changed files with 38 additions and 5 deletions
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37
docs/docs/imaging.xml
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@ -86,6 +86,7 @@
<item>find_points_above_thresh</item>
<item>scan_image_pyramid</item>
<item>scan_image_boxes</item>
<item>scan_image_custom</item>
<item>find_candidate_object_locations</item>
<item>test_box_overlap</item>
<item>remove_unobtainable_rectangles</item>
@ -1729,6 +1730,34 @@
</component>
<!-- ************************************************************************* -->
<component>
<name>scan_image_custom</name>
<file>dlib/image_processing.h</file>
<spec_file link="true">dlib/image_processing/scan_image_custom_abstract.h</spec_file>
<description>
This object is a tool for running a classifier over an image with the goal
of localizing each object present. The localization is in the form of the
bounding box around each object of interest.
<p>
Unlike the <a href="#scan_image_pyramid">scan_image_pyramid</a>
and <a href="#scan_image_boxes">scan_image_boxes</a> objects, this image
scanner delegates all the work of constructing the object feature vector to
a user supplied feature extraction object. That is, scan_image_custom
simply asks the supplied feature extractor what boxes in the image we
should investigate and then asks the feature extractor for the complete
feature vector for each box. That is, scan_image_custom does not apply any
kind of pyramiding or other higher level processing to the features coming
out of the feature extractor. That means that when you use
scan_image_custom it is completely up to you to define the feature vector
used with each image box.
</p>
</description>
</component>
<!-- ************************************************************************* -->
<component>
@ -1750,9 +1779,11 @@
<spec_file link="true">dlib/image_processing/object_detector_abstract.h</spec_file>
<description>
This object is a tool for detecting the positions of objects in an image. In
particular, it is a simple container to aggregate an instance of the <a
href="#scan_image_pyramid">scan_image_pyramid</a> or <a
href="#scan_image_boxes">scan_image_boxes</a> classes, the weight vector
particular, it is a simple container to aggregate an instance of an image
scanner object (either <a
href="#scan_image_pyramid">scan_image_pyramid</a>, <a
href="#scan_image_boxes">scan_image_boxes</a>, or
<a href="#scan_image_custom">scan_image_custom</a>), the weight vector
needed by one of these image scanners, and finally an instance of
<a href="#test_box_overlap">test_box_overlap</a>. The test_box_overlap object
is used to perform non-max suppression on the output of the image scanner

5
docs/docs/ml.xml
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@ -2694,8 +2694,9 @@ Davis E. King. <a href="http://jmlr.csail.mit.edu/papers/volume10/king09a/king09
<spec_file link="true">dlib/svm/structural_svm_object_detection_problem_abstract.h</spec_file>
<description>
This object is a tool for learning the parameter vector needed to use
a <a href="imaging.html#scan_image_pyramid">scan_image_pyramid</a> or
<a href="imaging.html#scan_image_boxes">scan_image_boxes</a> object.
a <a href="imaging.html#scan_image_pyramid">scan_image_pyramid</a>,
<a href="imaging.html#scan_image_boxes">scan_image_boxes</a>, or
<a href="imaging.html#scan_image_custom">scan_image_custom</a> object.
<p>
It learns the parameter vector by formulating the problem as a <a href="#structural_svm_problem">structural

1
docs/docs/term_index.xml
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@ -1263,6 +1263,7 @@
<term file="imaging.html" name="scan_image_pyramid" include="dlib/image_processing.h"/>
<term file="imaging.html" name="scan_image_boxes" include="dlib/image_processing.h"/>
<term file="dlib/image_processing/scan_image_boxes_abstract.h.html" name="default_box_generator" include="dlib/image_processing.h"/>
<term file="imaging.html" name="scan_image_custom" include="dlib/image_processing.h"/>
<term file="imaging.html" name="compute_box_dimensions" include="dlib/image_processing.h"/>
<term file="imaging.html" name="create_single_box_detection_template" include="dlib/image_processing.h"/>
<term file="imaging.html" name="create_overlapped_2x2_detection_template" include="dlib/image_processing.h"/>