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LalitMaganti · Oct 13, 2024 · 69810ab · 69810ab
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diff --git a/404.html b/404.html
@@ -4,7 +4,7 @@
     <title>404 Page not found // Lalit Maganti</title>
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+  <meta name="twitter:card" content="summary">
+  <meta name="twitter:title" content="404 Page not found">
 
+    <meta property="og:url" content="/404.html">
+  <meta property="og:site_name" content="Lalit Maganti">
+  <meta property="og:title" content="404 Page not found">
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+  <meta property="og:type" content="website">
 
 
   </head>

diff --git a/categories/index.html b/categories/index.html
@@ -4,7 +4,7 @@
     <title>Categories // Lalit Maganti</title>
     <link rel="shortcut icon" href="/favicon.ico" />
     <meta charset="utf-8" />
-    <meta name="generator" content="Hugo 0.120.4">
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@@ -22,15 +22,15 @@
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+  <meta name="twitter:card" content="summary">
+  <meta name="twitter:title" content="Categories">
 
+    <meta property="og:url" content="/categories/">
+  <meta property="og:site_name" content="Lalit Maganti">
+  <meta property="og:title" content="Categories">
+  <meta property="og:locale" content="en">
+  <meta property="og:type" content="website">
 
 
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diff --git a/categories/index.xml b/categories/index.xml
@@ -4,7 +4,7 @@
     <title>Categories on Lalit Maganti</title>
     <link>/categories/</link>
     <description>Recent content in Categories on Lalit Maganti</description>
-    <generator>Hugo -- gohugo.io</generator>
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diff --git a/hw-encoding-raspi/index.html b/hw-encoding-raspi/index.html
@@ -4,7 +4,7 @@
     <title>V4L2 and Hardware Encoding on the Raspberry Pi // Lalit Maganti</title>
     <link rel="shortcut icon" href="/favicon.ico" />
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-    <meta name="generator" content="Hugo 0.120.4">
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@@ -22,19 +22,22 @@
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-Background My journey started at this video on the excellent Craft Computing YouTube channel which showed how to setup TinyPilot, a Python app for KVM over IP which runs on a Raspberry Pi."/>
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+  <meta name="twitter:card" content="summary">
+  <meta name="twitter:title" content="V4L2 and Hardware Encoding on the Raspberry Pi">
+  <meta name="twitter:description" content="TLDR: Explain how the V4L2 M2M API works through the use-case of implementing hardware video encoding on the Raspberry Pi. This knowledge is generally useful as V4L2 is the de-facto generic API for hardware decoding and encoding on Linux.
+Background My journey started at this video on the excellent Craft Computing YouTube channel which showed how to setup TinyPilot, a Python app for KVM over IP which runs on a Raspberry Pi. Behind the scenes, TinyPilot uses ustreamer to read frames from a HDMI capture card and either exposes it over HTTP or writes it to shared memory. Along with the MJPEG output, support was recently added for encoding video using H264.">
 
+    <meta property="og:url" content="/hw-encoding-raspi/">
+  <meta property="og:site_name" content="Lalit Maganti">
+  <meta property="og:title" content="V4L2 and Hardware Encoding on the Raspberry Pi">
+  <meta property="og:description" content="TLDR: Explain how the V4L2 M2M API works through the use-case of implementing hardware video encoding on the Raspberry Pi. This knowledge is generally useful as V4L2 is the de-facto generic API for hardware decoding and encoding on Linux.
+Background My journey started at this video on the excellent Craft Computing YouTube channel which showed how to setup TinyPilot, a Python app for KVM over IP which runs on a Raspberry Pi. Behind the scenes, TinyPilot uses ustreamer to read frames from a HDMI capture card and either exposes it over HTTP or writes it to shared memory. Along with the MJPEG output, support was recently added for encoding video using H264.">
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+    <meta property="article:modified_time" content="2021-02-01T23:00:00+00:00">
 
 
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diff --git a/index.html b/index.html
@@ -4,7 +4,7 @@
     <title>Lalit Maganti</title>
     <link rel="shortcut icon" href="/favicon.ico" />
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@@ -22,15 +22,15 @@
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diff --git a/index.xml b/index.xml
@@ -4,7 +4,7 @@
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-      <description>TLDR: Explain how the V4L2 M2M API works through the use-case of implementing hardware video encoding on the Raspberry Pi. This knowledge is generally useful as V4L2 is the de-facto generic API for hardware decoding and encoding on Linux.
-Background My journey started at this video on the excellent Craft Computing YouTube channel which showed how to setup TinyPilot, a Python app for KVM over IP which runs on a Raspberry Pi.</description>
+      <description>&lt;p&gt;&lt;strong&gt;TLDR&lt;/strong&gt;: Explain how the V4L2 M2M API works through the use-case of implementing hardware video encoding on&#xA;the Raspberry Pi. This knowledge is generally useful as V4L2 is the de-facto generic API for hardware decoding&#xA;and encoding on Linux.&lt;/p&gt;&#xA;&lt;h1 id=&#34;background&#34;&gt;Background&lt;/h1&gt;&#xA;&lt;p&gt;My journey started at &lt;a href=&#34;https://www.youtube.com/watch?v=CyEpshm16HY&amp;amp;t=139s&#34;&gt;this video&lt;/a&gt;&#xA;on the excellent &lt;a href=&#34;https://www.youtube.com/channel/UCp3yVOm6A55nx65STpm3tXQ&#34;&gt;Craft Computing&lt;/a&gt; YouTube channel&#xA;which showed how to setup TinyPilot, a Python app for KVM over IP which runs on a Raspberry Pi.&#xA;Behind the scenes, TinyPilot uses &lt;a href=&#34;https://github.com/pikvm/ustreamer&#34;&gt;ustreamer&lt;/a&gt; to read frames&#xA;from a HDMI capture card and either exposes it over HTTP or writes it to shared memory. Along with the&#xA;MJPEG output, support was recently added for encoding video using H264.&lt;/p&gt;</description>
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       <pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate>
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-      <description>I&amp;rsquo;m a software engineer working at Google on Perfetto, the next generation performance tracing framework used by Chrome and Android. My main work is with the trace processor, a C++ library that ingests traces and exposes an SQL interface for querying events.
-In my spare time, I tinker with projects from a variety of software engineering domains and write endless (largely unreleased) personal projects. I also play copious amounts of chess.</description>
+      <description>&lt;p&gt;I&amp;rsquo;m a software engineer working at Google on &lt;a href=&#34;https://perfetto.dev&#34;&gt;Perfetto&lt;/a&gt;, the next generation performance&#xA;tracing framework used by Chrome and Android. My main work is with the&#xA;&lt;a href=&#34;https://perfetto.dev/docs/analysis/trace-processor&#34;&gt;trace processor&lt;/a&gt;, a C++ library that ingests traces&#xA;and exposes an SQL interface for querying events.&lt;/p&gt;&#xA;&lt;p&gt;In my spare time, I tinker with projects from a variety of software engineering domains and&#xA;write endless (largely unreleased) personal projects. I also play copious amounts of chess.&lt;/p&gt;</description>
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diff --git a/page/about/index.html b/page/about/index.html
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diff --git a/page/index.html b/page/index.html
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diff --git a/page/index.xml b/page/index.xml
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-In my spare time, I tinker with projects from a variety of software engineering domains and write endless (largely unreleased) personal projects. I also play copious amounts of chess.</description>
+      <description>&lt;p&gt;I&amp;rsquo;m a software engineer working at Google on &lt;a href=&#34;https://perfetto.dev&#34;&gt;Perfetto&lt;/a&gt;, the next generation performance&#xA;tracing framework used by Chrome and Android. My main work is with the&#xA;&lt;a href=&#34;https://perfetto.dev/docs/analysis/trace-processor&#34;&gt;trace processor&lt;/a&gt;, a C++ library that ingests traces&#xA;and exposes an SQL interface for querying events.&lt;/p&gt;&#xA;&lt;p&gt;In my spare time, I tinker with projects from a variety of software engineering domains and&#xA;write endless (largely unreleased) personal projects. I also play copious amounts of chess.&lt;/p&gt;</description>
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diff --git a/post/index.html b/post/index.html
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