<?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>Processing Intro to Computer Vision</title><link>/challenges-projects/design-challenges/picasso/b/blog/posts/processing-intro-to-computer-vision</link><description>I started testing my own images and thought the results were cool. I&amp;#39;m next going to experiment with the camera and try Face Recognition (I will be using my daughter) , Object Tracking (probably the crows outside) and other examples. Compute...</description><dc:language>en-US</dc:language><generator>Telligent Community 12</generator><item><title>RE: Processing Intro to Computer Vision</title><link>https://community.element14.com/challenges-projects/design-challenges/picasso/b/blog/posts/processing-intro-to-computer-vision</link><pubDate>Thu, 11 Apr 2019 07:55:36 GMT</pubDate><guid isPermaLink="false">93d5dcb4-84c2-446f-b2cb-99731719e767:371bfd49-af0b-49c4-baf4-c93b6d25635c</guid><dc:creator>beacon_dave</dc:creator><slash:comments>0</slash:comments><description>&lt;p&gt;I spotted this blog on deep learning using machine vision recently which may be of some interest to those following along:&lt;/p&gt;&lt;p&gt;&lt;a class="jive-link-external-small" href="https://medium.com/@ageitgey/snagging-parking-spaces-with-mask-r-cnn-and-python-955f2231c400" rel="nofollow ugc noopener" target="_blank" title="https://medium.com/@ageitgey/snagging-parking-spaces-with-mask-r-cnn-and-python-955f2231c400"&gt;https://medium.com/@ageitgey/snagging-parking-spaces-with-mask-r-cnn-and-python-955f2231c400&lt;/a&gt; &lt;/p&gt;&lt;p&gt;It is using the MASK R-CNN with the COCO dataset to identify parked cars in the street and notifying people when parking spaces become available.&lt;/p&gt;&lt;img src="https://community.element14.com/aggbug?PostID=6835&amp;AppID=224&amp;AppType=Weblog&amp;ContentType=0" width="1" height="1"&gt;</description></item></channel></rss>