pavement thickness measurement added

docs/anaconda_installation.html

@@ -100,7 +100,7 @@ <h1>Anaconda<a class="headerlink" href="#anaconda" title="Link to this heading">
 <p>Click the green “Code” button and “Download ZIP” to download CHARISMA.</p>
 <a class="reference internal image-reference" href="_images/git.png"><img alt="git" class="align-center" src="_images/git.png" style="width: 1000px;" /></a>
 <br><p>We recommend using Anaconda to simplify the environment setup. Anaconda is commonly used for managing Python packages in user-defined environments. In other words, it allows you to create isolated environments for different projects, each with its own set of dependencies, without interfering with the system-wide Python installation. This is particularly useful in data science and scientific computing where projects may have different requirements and dependencies. First, download Anaconda by clicking the image below.</p>
-<a class="reference external image-reference" href="https://www.anaconda.com/download"><img alt="anaconda" src="_images/Anaconda_Logo.png" style="width: 300px;" /></a>
+<a class="reference external image-reference" href="https://www.anaconda.com/download"><img alt="anaconda" src="_images/Anaconda_Logo.png" style="width: 100px;" /></a>
 <p>We recommend installing our conda environment <code class="code docutils literal notranslate"><span class="pre">charisma-env</span></code> to run the code properly. This environment has all the dependencies from our entire code. Open Anaconda Prompt, and go to your download directory by typing the following command.</p>
 <div class="highlight-bash notranslate"><div class="highlight"><pre><span></span><span class="nb">cd</span><span class="w"> </span>C:/your_download_path/
 </pre></div>
@@ -127,7 +127,7 @@ <h1>Anaconda<a class="headerlink" href="#anaconda" title="Link to this heading">
   <hr/>
 
   <div role="contentinfo">
-    <p>&#169; Copyright .</p>
+    <p>&#169; Copyright Federal Highway Administration (FHWA).</p>
   </div>
 
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docs/databricks.html

@@ -95,7 +95,7 @@
 
   <section id="databricks">
 <h1>Databricks<a class="headerlink" href="#databricks" title="Link to this heading"></a></h1>
-<a class="reference external image-reference" href="https://www.databricks.com/"><img alt="db" src="_images/databricks-logo.png" style="width: 350px;" /></a>
+<a class="reference external image-reference" href="https://www.databricks.com/"><img alt="db" src="_images/databricks-logo.png" style="width: 100px;" /></a>
 <p>Databricks is a user-friendly platform for working with large datasets. It is like a shared space where people who analyze data and those who work with it can all collaborate. Built on Apache Spark and hosted in the cloud, Databricks offers convenient access from anywhere. It features useful tools like collaborative notebooks for writing and sharing, task scheduling, and data exploration capabilities. Designed to streamline the entire data analytics process, Databricks covers everything from data preparation to model training and deployment. Plus, it supports various programming languages such as Python, SQL, R, and Scala, and seamlessly integrates with popular machine learning and data visualization tools.</p>
 <p>CHARISMA can be utilized on Databricks. This method clones (copies) the original CHARISMA GitHub contents and save it into your workspace. Thus, users are free to modify, add, or remove the codes and data. Also, all the necessary Python packages are automatically installed, eliminating the need for users to install anything themselves.</p>
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@@ -156,7 +156,7 @@ <h1>Databricks<a class="headerlink" href="#databricks" title="Link to this headi
   <hr/>
 
   <div role="contentinfo">
-    <p>&#169; Copyright .</p>
+    <p>&#169; Copyright Federal Highway Administration (FHWA).</p>
   </div>
 
   Built with <a href="https://www.sphinx-doc.org/">Sphinx</a> using a

ground-penetrating-radar/README.md

@@ -9,6 +9,8 @@
 
 	Rebar corrosion (Will be updated soon)
 
+	Pavement thickness measurement
+
 
 - **notebooks:** Contains Jupyter notebook files for test & analysis