<?xml version="1.0" encoding="UTF-8"?><rss xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:atom="http://www.w3.org/2005/Atom" version="2.0"><channel><title><![CDATA[Timer Camera onboard image processing tutorials]]></title><description><![CDATA[<p dir="auto">Hi</p>
<p dir="auto">I'm hoping that some helpful can point me in the right direction for some guides on how to perform onboard image processing either with something like opencv or a deep learning approach that can be run onboard a Timer Camera F unit.</p>
<p dir="auto">The main aim is to provide an image classifier hopefully via simple morphological operations and thresholding, but may need some added robustness via a very low compute cnn model.</p>
<p dir="auto">I've used arduinos and various single board computers in the past, but this is my first time using the m5stack, so any experience/guidance would be extremely helpful - even recommendations as to whether to what IDE to use (ESP-IDF or arduino IDE for example).</p>
<p dir="auto">Many thanks</p>
<p dir="auto">Jim</p>
]]></description><link>https://community.m5stack.com/topic/4888/timer-camera-onboard-image-processing-tutorials</link><generator>RSS for Node</generator><lastBuildDate>Thu, 05 Mar 2026 08:27:38 GMT</lastBuildDate><atom:link href="https://community.m5stack.com/topic/4888.rss" rel="self" type="application/rss+xml"/><pubDate>Tue, 13 Dec 2022 12:07:39 GMT</pubDate><ttl>60</ttl></channel></rss>