minor fixes

documentation/html/build/html/_sources/index.rst.txt

@@ -12,8 +12,15 @@ Carnegie Mellon Racing is a premier student organization at Carnegie Mellon Univ
 and builds autonomous vehicles to compete in the annual Formula Student Driverless competition. This workspace
 works in combination with the driverless workspace that can be found on the `Carnegie Mellon Racing GitHub <https://github.com/carnegiemellonracing/>`_ .
 
-.. figure :: ../../index_images/car.jpg
-    :align: center
+.. raw:: html
+
+    <h1 align="center">
+      <div>
+        <div style="position: relative; padding-bottom: 0%; overflow: hidden; max-width: 100%; height: auto;">
+          <iframe width="450" height="300" src=../../../index_images/frontPage.mp4 frameborder="1" allowfullscreen></iframe>
+        </div>
+      </div>
+    </h1>
 
 What is Perceptions? 
 ==========================

documentation/html/build/html/index.html

@@ -79,10 +79,13 @@ <h1>Carnegie Mellon Racing Perceptions Library for 22a<a class="headerlink" href
 Carnegie Mellon Racing is a premier student organization at Carnegie Mellon University that designs
 and builds autonomous vehicles to compete in the annual Formula Student Driverless competition. This workspace
 works in combination with the driverless workspace that can be found on the <a class="reference external" href="https://github.com/carnegiemellonracing/">Carnegie Mellon Racing GitHub</a> .</p>
-<figure class="align-center">
-<img alt="_images/car.jpg" src="_images/car.jpg" />
-</figure>
-<section id="what-is-perceptions">
+<h1 align="center">
+  <div>
+    <div style="position: relative; padding-bottom: 0%; overflow: hidden; max-width: 100%; height: auto;">
+      <iframe width="450" height="300" src=../../../index_images/frontPage.mp4 frameborder="1" allowfullscreen></iframe>
+    </div>
+  </div>
+</h1><section id="what-is-perceptions">
 <h2>What is Perceptions?<a class="headerlink" href="#what-is-perceptions" title="Permalink to this heading"></a></h2>
 <p>Perceptions is the process of interpreting sensor data to understand the environment around the car.
 This is a crucial part of the autonomous driving stack as it provides the car with the information it

documentation/html/source/index.rst

@@ -40,6 +40,12 @@ object detection, lane detection, and cone detection. These algorithms are used
 understanding of the environment around it. To understand the specifics of these algorithms, please refer to the
 documentation.
 
+This documentation is a guide to the perception algorithms which follows the same structure as the Perceptions Library Github repository.
+The documentation is divided into two main sections: the perception algorithms and the scripts that are used to run the algorithms. 
+The perception algorithms section provides a detailed explanation of the algorithms used in the perception stack. The scripts section
+provides a detailed explanation of the scripts that are used to run the perception algorithms. For further details about the perception
+algorithms, please refer to the github, which has detailed inline comments for each function.
+
 Getting Started
 ===============