<?xml-stylesheet type="text/xsl" href="https://community.element14.com/cfs-file/__key/system/syndication/rss.xsl" media="screen"?><rss version="2.0" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:slash="http://purl.org/rss/1.0/modules/slash/" xmlns:wfw="http://wellformedweb.org/CommentAPI/"><channel><title>Dragonboard 410c - OpenCV</title><link>/members-area/personalblogs/b/andy-clark-s-blog/posts/dragonboard-410c---opencv</link><description>I&amp;#39;ve put the code for the project on Github as it&amp;#39;s now starting to get interesting. Testing on something simplerSo that I knew that OpenCV was working correctly I created a simple test script. import numpy as np
import cv2
print cv...</description><dc:language>en-US</dc:language><generator>Telligent Community 12</generator><item><title>RE: Dragonboard 410c - OpenCV</title><link>https://community.element14.com/members-area/personalblogs/b/andy-clark-s-blog/posts/dragonboard-410c---opencv</link><pubDate>Sat, 21 May 2016 19:59:40 GMT</pubDate><guid isPermaLink="false">93d5dcb4-84c2-446f-b2cb-99731719e767:75d1146e-2cca-4064-affb-ccba58b30f36</guid><dc:creator>DAB</dc:creator><slash:comments>0</slash:comments><description>&lt;p&gt;Yes the &amp;quot;self&amp;quot; learning algorithms take a lot of time and options before they get reasonably reliable.&lt;/p&gt;&lt;p&gt;&amp;nbsp;&lt;/p&gt;&lt;p&gt;I have seen a number of approaches where they use the geometry of eye placement and nose/mouth relationships to quickly narrow the search areas.&lt;/p&gt;&lt;p&gt;&amp;nbsp;&lt;/p&gt;&lt;p&gt;DAB&lt;/p&gt;&lt;img src="https://community.element14.com/aggbug?PostID=21675&amp;AppID=312&amp;AppType=Weblog&amp;ContentType=0" width="1" height="1"&gt;</description></item></channel></rss>