## For instruction on writing tutorials
## http://www.ros.org/wiki/WritingTutorials
####################################
##FILL ME IN
####################################
## for a custom note with links:
## note =
## for the canned note of "This tutorial assumes that you have completed the previous tutorials:" just add the links 
## note.0= 
## descriptive title for the tutorial
## title = Processing Results with the Stair Vision Library
## multi-line description to be displayed in search 
## description = Processing results using the Stair Vision Library
## the next tutorial description (optional)
## next =
## links to next tutorial (optional)
## next.0.link=
## next.1.link=
## what level user is this tutorial for 
## level= (BeginnerCategory, IntermediateCategory, AdvancedCategory)
## keywords =
####################################

<<IncludeCSTemplate(TutorialCSHeaderTemplate)>>

<<TableOfContents(4)>>

From person_data/evaluation, run this script:

evaluate.py <detection dir> <annotation dir> <output dir>
Finds all .xml files in detection dir and annotation dir.
Creates output dir and adds the following to it:
	missing_detections.txt: A list of all annotation files that did not have a corresponding detection file
	missing_annotations.txt: A list of all detection files that did not have a corresponding annotation file
	svl_detections.xml: The detections in svl format
	svl_annotations.xml: The bounding box annotations in svl format
	svl_annotations_tight.xml: The tightest possible bounding boxes surrounding each set of polygons, in svl format
	pr.person.txt: PR curve in CSV format generated by scoring svl_detections against svl_annotations
	pr_tight.person.txt: PR curve in CSV format generated by scoring svl_detections against svl_annotations_tight		

Frames containing bad images of people that you do not want scored should not have XML files. 


## AUTOGENERATED DO NOT DELETE 
## TutorialCategory
## FILL IN THE STACK TUTORIAL CATEGORY HERE