built local

Author: shravankumar147

_build/.doctrees/environment.pickle

@@ -1,12 +1,59 @@
-# Welcome to Computer Vision Tutorials 👁️‍🗨️
+# 👁️ Welcome to the GenAI Lab – Computer Vision Tutorials
 
-This Jupyter Book is part of the **GenAI Lab** tutorial series — designed for fast-paced learning with a visual-first approach.
+> 🧠 *"Computer Vision is how machines see — let's teach them better."*
 
-## 🚀 What You'll Learn
+This book is a curated collection of short-form, high-impact tutorials that cover everything from **image fundamentals** to **generative AI**, designed for learners who prefer:
 
-- What is an image (pixels, channels)
-- Image transformations (resize, flip, crop)
-- Color spaces (RGB, HSV, LAB)
-- Feature extraction, contours, and more
+- 🔍 Clear visuals  
+- 🧪 Hands-on code  
+- 🚀 Fast, practical insights  
 
-Start below with the fundamentals!
+Whether you're a beginner exploring pixel arrays, or an AI engineer diving into transformers and CLIP, this is for you.
+
+Let's Dive in 
+
+---
+
+## 🧭 What You'll Learn
+
+💡 Each tutorial is designed to answer one question well.
+
+| 🧩 Topic                  | 🔧 Core Skills                               |
+|--------------------------|----------------------------------------------|
+| Image Basics             | RGB, grayscale, histograms, pixel ops       |
+| Filters & Features       | Edge detection, blurring, thresholding      |
+| Deep Learning in CV      | CNNs, segmentation, detection                |
+| Vision Transformers      | ViT, DETR, object queries                    |
+| Multimodal Models        | CLIP, BLIP, OWL-ViT                          |
+| Generative AI in Vision  | Diffusion, inpainting, stable pipelines     |
+| Datasets & Pipelines     | Loading, preprocessing, augmentation        |
+
+---
+
+## 📚 How to Use This Book
+
+1. **Explore**: Use the sidebar or keyboard navigation.
+2. **Run**: Every code block is executable via Jupyter Notebook.
+3. **Apply**: Use the mini challenges at the end of tutorials.
+4. **Contribute**: Help grow the book by adding your own chapters!
+
+---
+
+## 🚀 Launch the Tutorials
+
+👉 **[Click here to start with the first lesson →](tutorials/fundamentals_of_computer_vision/01_image_basics.ipynb)**  
+*A 5-minute intro to images, pixels, and what a computer “sees.”*
+
+---
+
+## ✨ Powered By
+
+- 🧪 [Jupyter Book](https://jupyterbook.org/)
+- 📷 [OpenCV](https://opencv.org/)
+- 📈 [Matplotlib](https://matplotlib.org/)
+- 🔗 [GitHub Actions](https://docs.github.com/en/actions)
+
+---
+
+📬 Stay connected: [@shravankumar147](https://github.com/shravankumar147)  
+🔗 [https://shravan147.github.io/GenAI-lab-tutorials/cv-tutorials/](https://shravan147.github.io/GenAI-lab-tutorials/cv-tutorials/)

_build/.doctrees/intro.doctree

@@ -168,7 +168,7 @@
         <ul class="nav bd-sidenav bd-sidenav__home-link">
             <li class="toctree-l1">
                 <a class="reference internal" href="intro.html">
-                    Welcome to Computer Vision Tutorials 👁️‍🗨️
+                    👁️ Welcome to the GenAI Lab – Computer Vision Tutorials
                 </a>
             </li>
         </ul>

_build/html/_sources/intro.md

@@ -8,7 +8,7 @@
     <meta charset="utf-8" />
     <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="viewport" content="width=device-width, initial-scale=1" />
 
-    <title>Welcome to Computer Vision Tutorials 👁️‍🗨️ &#8212; Computer Vision Tutorials - GenAI Lab</title>
+    <title>👁️ Welcome to the GenAI Lab – Computer Vision Tutorials &#8212; Computer Vision Tutorials - GenAI Lab</title>
 
 
 
@@ -170,7 +170,7 @@
         <ul class="nav bd-sidenav bd-sidenav__home-link">
             <li class="toctree-l1 current active">
                 <a class="reference internal" href="#">
-                    Welcome to Computer Vision Tutorials 👁️‍🗨️
+                    👁️ Welcome to the GenAI Lab – Computer Vision Tutorials
                 </a>
             </li>
         </ul>
@@ -314,7 +314,7 @@
 
 
 <div id="jb-print-docs-body" class="onlyprint">
-    <h1>Welcome to Computer Vision Tutorials 👁️‍🗨️</h1>
+    <h1>👁️ Welcome to the GenAI Lab – Computer Vision Tutorials</h1>
     <!-- Table of contents -->
     <div id="print-main-content">
         <div id="jb-print-toc">
@@ -324,7 +324,10 @@ <h2> Contents </h2>
             </div>
             <nav aria-label="Page">
                 <ul class="visible nav section-nav flex-column">
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#what-you-ll-learn">🚀 What You’ll Learn</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#what-you-ll-learn">🧭 What You’ll Learn</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#how-to-use-this-book">📚 How to Use This Book</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#launch-the-tutorials">🚀 Launch the Tutorials</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#powered-by">✨ Powered By</a></li>
 </ul>
             </nav>
         </div>
@@ -336,18 +339,83 @@ <h2> Contents </h2>
 <div id="searchbox"></div>
                 <article class="bd-article">
 
-  <section class="tex2jax_ignore mathjax_ignore" id="welcome-to-computer-vision-tutorials">
-<h1>Welcome to Computer Vision Tutorials 👁️‍🗨️<a class="headerlink" href="#welcome-to-computer-vision-tutorials" title="Link to this heading">#</a></h1>
-<p>This Jupyter Book is part of the <strong>GenAI Lab</strong> tutorial series — designed for fast-paced learning with a visual-first approach.</p>
+  <section class="tex2jax_ignore mathjax_ignore" id="welcome-to-the-genai-lab-computer-vision-tutorials">
+<h1>👁️ Welcome to the GenAI Lab – Computer Vision Tutorials<a class="headerlink" href="#welcome-to-the-genai-lab-computer-vision-tutorials" title="Link to this heading">#</a></h1>
+<blockquote>
+<div><p>🧠 <em>“Computer Vision is how machines see — let’s teach them better.”</em></p>
+</div></blockquote>
+<p>This book is a curated collection of short-form, high-impact tutorials that cover everything from <strong>image fundamentals</strong> to <strong>generative AI</strong>, designed for learners who prefer:</p>
+<ul class="simple">
+<li><p>🔍 Clear visuals</p></li>
+<li><p>🧪 Hands-on code</p></li>
+<li><p>🚀 Fast, practical insights</p></li>
+</ul>
+<p>Whether you’re a beginner exploring pixel arrays, or an AI engineer diving into transformers and CLIP, this is for you.</p>
+<p>Let’s Dive in</p>
+<hr class="docutils" />
 <section id="what-you-ll-learn">
-<h2>🚀 What You’ll Learn<a class="headerlink" href="#what-you-ll-learn" title="Link to this heading">#</a></h2>
+<h2>🧭 What You’ll Learn<a class="headerlink" href="#what-you-ll-learn" title="Link to this heading">#</a></h2>
+<p>💡 Each tutorial is designed to answer one question well.</p>
+<div class="pst-scrollable-table-container"><table class="table">
+<thead>
+<tr class="row-odd"><th class="head"><p>🧩 Topic</p></th>
+<th class="head"><p>🔧 Core Skills</p></th>
+</tr>
+</thead>
+<tbody>
+<tr class="row-even"><td><p>Image Basics</p></td>
+<td><p>RGB, grayscale, histograms, pixel ops</p></td>
+</tr>
+<tr class="row-odd"><td><p>Filters &amp; Features</p></td>
+<td><p>Edge detection, blurring, thresholding</p></td>
+</tr>
+<tr class="row-even"><td><p>Deep Learning in CV</p></td>
+<td><p>CNNs, segmentation, detection</p></td>
+</tr>
+<tr class="row-odd"><td><p>Vision Transformers</p></td>
+<td><p>ViT, DETR, object queries</p></td>
+</tr>
+<tr class="row-even"><td><p>Multimodal Models</p></td>
+<td><p>CLIP, BLIP, OWL-ViT</p></td>
+</tr>
+<tr class="row-odd"><td><p>Generative AI in Vision</p></td>
+<td><p>Diffusion, inpainting, stable pipelines</p></td>
+</tr>
+<tr class="row-even"><td><p>Datasets &amp; Pipelines</p></td>
+<td><p>Loading, preprocessing, augmentation</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
+<hr class="docutils" />
+<section id="how-to-use-this-book">
+<h2>📚 How to Use This Book<a class="headerlink" href="#how-to-use-this-book" title="Link to this heading">#</a></h2>
+<ol class="arabic simple">
+<li><p><strong>Explore</strong>: Use the sidebar or keyboard navigation.</p></li>
+<li><p><strong>Run</strong>: Every code block is executable via Jupyter Notebook.</p></li>
+<li><p><strong>Apply</strong>: Use the mini challenges at the end of tutorials.</p></li>
+<li><p><strong>Contribute</strong>: Help grow the book by adding your own chapters!</p></li>
+</ol>
+</section>
+<hr class="docutils" />
+<section id="launch-the-tutorials">
+<h2>🚀 Launch the Tutorials<a class="headerlink" href="#launch-the-tutorials" title="Link to this heading">#</a></h2>
+<p>👉 <strong><a class="reference internal" href="tutorials/fundamentals_of_computer_vision/01_image_basics.html"><span class="std std-doc">Click here to start with the first lesson →</span></a></strong><br />
+<em>A 5-minute intro to images, pixels, and what a computer “sees.”</em></p>
+</section>
+<hr class="docutils" />
+<section id="powered-by">
+<h2>✨ Powered By<a class="headerlink" href="#powered-by" title="Link to this heading">#</a></h2>
 <ul class="simple">
-<li><p>What is an image (pixels, channels)</p></li>
-<li><p>Image transformations (resize, flip, crop)</p></li>
-<li><p>Color spaces (RGB, HSV, LAB)</p></li>
-<li><p>Feature extraction, contours, and more</p></li>
+<li><p>🧪 <a class="reference external" href="https://jupyterbook.org/">Jupyter Book</a></p></li>
+<li><p>📷 <a class="reference external" href="https://opencv.org/">OpenCV</a></p></li>
+<li><p>📈 <a class="reference external" href="https://matplotlib.org/">Matplotlib</a></p></li>
+<li><p>🔗 <a class="reference external" href="https://docs.github.com/en/actions">GitHub Actions</a></p></li>
 </ul>
-<p>Start below with the fundamentals!</p>
+<hr class="docutils" />
+<p>📬 Stay connected: <a class="reference external" href="https://github.com/shravankumar147">&#64;shravankumar147</a><br />
+🔗 <a class="reference external" href="https://shravan147.github.io/GenAI-lab-tutorials/cv-tutorials/">https://shravan147.github.io/GenAI-lab-tutorials/cv-tutorials/</a></p>
 </section>
 <div class="toctree-wrapper compound">
 </div>
@@ -408,7 +476,10 @@ <h2>🚀 What You’ll Learn<a class="headerlink" href="#what-you-ll-learn" titl
   </div>
   <nav class="bd-toc-nav page-toc">
     <ul class="visible nav section-nav flex-column">
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#what-you-ll-learn">🚀 What You’ll Learn</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#what-you-ll-learn">🧭 What You’ll Learn</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#how-to-use-this-book">📚 How to Use This Book</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#launch-the-tutorials">🚀 Launch the Tutorials</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#powered-by">✨ Powered By</a></li>
 </ul>
   </nav></div>
 

_build/html/genindex.html

@@ -170,7 +170,7 @@
         <ul class="nav bd-sidenav bd-sidenav__home-link">
             <li class="toctree-l1">
                 <a class="reference internal" href="intro.html">
-                    Welcome to Computer Vision Tutorials 👁️‍🗨️
+                    👁️ Welcome to the GenAI Lab – Computer Vision Tutorials
                 </a>
             </li>
         </ul>