From 55824a42a849e9e705af10dc11a54caaf7c186bf Mon Sep 17 00:00:00 2001
From: Quarto GHA Workflow Runner <quarto-github-actions-publish@example.com>
Date: Mon, 12 Aug 2024 21:42:50 +0000
Subject: [PATCH] Built site for gh-pages

---
 .nojekyll                                     |  2 +-
 content/ComparingResults-Options1&2.html      |  4 +-
 ...rsity_Information_Facility_(GBIF)_API.html |  4 +-
 content/Option1.html                          |  4 +-
 content/Option2final.html                     |  4 +-
 content/PyTesseract_OCR.html                  | 12 ++---
 content/Text_Difference_Checker.html          |  8 +--
 content/experiments-preview.html              |  4 +-
 content/experiments.html                      |  4 +-
 content/experiments.out.ipynb                 | 10 ++--
 content/image_gallery.html                    |  4 +-
 content/plan.html                             |  4 +-
 index.html                                    |  4 +-
 search.json                                   | 20 +++----
 sitemap.xml                                   | 52 +++++++++----------
 15 files changed, 70 insertions(+), 70 deletions(-)

diff --git a/.nojekyll b/.nojekyll
index cd9bc3e..57df0c2 100644
--- a/.nojekyll
+++ b/.nojekyll
@@ -1 +1 @@
-c532cbba
\ No newline at end of file
+3eb178ed
\ No newline at end of file
diff --git a/content/ComparingResults-Options1&2.html b/content/ComparingResults-Options1&2.html
index 4554bcf..dbd90d1 100644
--- a/content/ComparingResults-Options1&2.html
+++ b/content/ComparingResults-Options1&2.html
@@ -214,7 +214,7 @@
   </li>
         <li class="sidebar-item sidebar-item-section">
       <div class="sidebar-item-container"> 
-            <a href="../contents/" class="sidebar-item-text sidebar-link">
+            <a href="../contents/pytesseract.qmd" class="sidebar-item-text sidebar-link">
  <span class="menu-text">PyTesseract - Improving OCR'd Papers</span></a>
           <a class="sidebar-item-toggle text-start collapsed" data-bs-toggle="collapse" data-bs-target="#" role="navigation" aria-expanded="false" aria-label="Toggle section">
             <i class="bi bi-chevron-right ms-2"></i>
@@ -224,7 +224,7 @@
           <li class="sidebar-item">
   <div class="sidebar-item-container"> 
   <a href="../content/PyTesseract_OCR.html" class="sidebar-item-text sidebar-link">
- <span class="menu-text">PyTesseract_OCR - Improving OCR’d Papers</span></a>
+ <span class="menu-text">PyTesseract_OCR Notebook</span></a>
   </div>
 </li>
       </ul>
diff --git a/content/Global_Biodiversity_Information_Facility_(GBIF)_API.html b/content/Global_Biodiversity_Information_Facility_(GBIF)_API.html
index 974a08c..a110cce 100644
--- a/content/Global_Biodiversity_Information_Facility_(GBIF)_API.html
+++ b/content/Global_Biodiversity_Information_Facility_(GBIF)_API.html
@@ -211,7 +211,7 @@
   </li>
         <li class="sidebar-item sidebar-item-section">
       <div class="sidebar-item-container"> 
-            <a href="../contents/" class="sidebar-item-text sidebar-link">
+            <a href="../contents/pytesseract.qmd" class="sidebar-item-text sidebar-link">
  <span class="menu-text">PyTesseract - Improving OCR'd Papers</span></a>
           <a class="sidebar-item-toggle text-start collapsed" data-bs-toggle="collapse" data-bs-target="#" role="navigation" aria-expanded="false" aria-label="Toggle section">
             <i class="bi bi-chevron-right ms-2"></i>
@@ -221,7 +221,7 @@
           <li class="sidebar-item">
   <div class="sidebar-item-container"> 
   <a href="../content/PyTesseract_OCR.html" class="sidebar-item-text sidebar-link">
- <span class="menu-text">PyTesseract_OCR - Improving OCR’d Papers</span></a>
+ <span class="menu-text">PyTesseract_OCR Notebook</span></a>
   </div>
 </li>
       </ul>
diff --git a/content/Option1.html b/content/Option1.html
index 36388f7..3ce3c60 100644
--- a/content/Option1.html
+++ b/content/Option1.html
@@ -211,7 +211,7 @@
   </li>
         <li class="sidebar-item sidebar-item-section">
       <div class="sidebar-item-container"> 
-            <a href="../contents/" class="sidebar-item-text sidebar-link">
+            <a href="../contents/pytesseract.qmd" class="sidebar-item-text sidebar-link">
  <span class="menu-text">PyTesseract - Improving OCR'd Papers</span></a>
           <a class="sidebar-item-toggle text-start collapsed" data-bs-toggle="collapse" data-bs-target="#" role="navigation" aria-expanded="false" aria-label="Toggle section">
             <i class="bi bi-chevron-right ms-2"></i>
@@ -221,7 +221,7 @@
           <li class="sidebar-item">
   <div class="sidebar-item-container"> 
   <a href="../content/PyTesseract_OCR.html" class="sidebar-item-text sidebar-link">
- <span class="menu-text">PyTesseract_OCR - Improving OCR’d Papers</span></a>
+ <span class="menu-text">PyTesseract_OCR Notebook</span></a>
   </div>
 </li>
       </ul>
diff --git a/content/Option2final.html b/content/Option2final.html
index 3943fa4..1f425ba 100644
--- a/content/Option2final.html
+++ b/content/Option2final.html
@@ -211,7 +211,7 @@
   </li>
         <li class="sidebar-item sidebar-item-section">
       <div class="sidebar-item-container"> 
-            <a href="../contents/" class="sidebar-item-text sidebar-link">
+            <a href="../contents/pytesseract.qmd" class="sidebar-item-text sidebar-link">
  <span class="menu-text">PyTesseract - Improving OCR'd Papers</span></a>
           <a class="sidebar-item-toggle text-start collapsed" data-bs-toggle="collapse" data-bs-target="#" role="navigation" aria-expanded="false" aria-label="Toggle section">
             <i class="bi bi-chevron-right ms-2"></i>
@@ -221,7 +221,7 @@
           <li class="sidebar-item">
   <div class="sidebar-item-container"> 
   <a href="../content/PyTesseract_OCR.html" class="sidebar-item-text sidebar-link">
- <span class="menu-text">PyTesseract_OCR - Improving OCR’d Papers</span></a>
+ <span class="menu-text">PyTesseract_OCR Notebook</span></a>
   </div>
 </li>
       </ul>
diff --git a/content/PyTesseract_OCR.html b/content/PyTesseract_OCR.html
index f4d5185..39107bc 100644
--- a/content/PyTesseract_OCR.html
+++ b/content/PyTesseract_OCR.html
@@ -63,7 +63,7 @@
 <script src="../site_libs/quarto-search/fuse.min.js"></script>
 <script src="../site_libs/quarto-search/quarto-search.js"></script>
 <meta name="quarto:offset" content="../">
-<link href="../contents/" rel="prev">
+<link href="../contents/pytesseract.qmd" rel="prev">
 <link href="../millerlogo.ico" rel="icon">
 <script src="../site_libs/quarto-html/quarto.js"></script>
 <script src="../site_libs/quarto-html/popper.min.js"></script>
@@ -116,7 +116,7 @@
       <button type="button" class="quarto-btn-toggle btn" data-bs-toggle="collapse" role="button" data-bs-target=".quarto-sidebar-collapse-item" aria-controls="quarto-sidebar" aria-expanded="false" aria-label="Toggle sidebar navigation" onclick="if (window.quartoToggleHeadroom) { window.quartoToggleHeadroom(); }">
         <i class="bi bi-layout-text-sidebar-reverse"></i>
       </button>
-        <nav class="quarto-page-breadcrumbs" aria-label="breadcrumb"><ol class="breadcrumb"><li class="breadcrumb-item"><a href="../contents/">PyTesseract - Improving OCR’d Papers</a></li><li class="breadcrumb-item"><a href="../content/PyTesseract_OCR.html">PyTesseract_OCR - Improving OCR’d Papers</a></li></ol></nav>
+        <nav class="quarto-page-breadcrumbs" aria-label="breadcrumb"><ol class="breadcrumb"><li class="breadcrumb-item"><a href="../contents/pytesseract.qmd">PyTesseract - Improving OCR’d Papers</a></li><li class="breadcrumb-item"><a href="../content/PyTesseract_OCR.html">PyTesseract_OCR Notebook</a></li></ol></nav>
         <a class="flex-grow-1" role="navigation" data-bs-toggle="collapse" data-bs-target=".quarto-sidebar-collapse-item" aria-controls="quarto-sidebar" aria-expanded="false" aria-label="Toggle sidebar navigation" onclick="if (window.quartoToggleHeadroom) { window.quartoToggleHeadroom(); }">      
         </a>
       <button type="button" class="btn quarto-search-button" aria-label="Search" onclick="window.quartoOpenSearch();">
@@ -210,7 +210,7 @@
   </li>
         <li class="sidebar-item sidebar-item-section">
       <div class="sidebar-item-container"> 
-            <a href="../contents/" class="sidebar-item-text sidebar-link">
+            <a href="../contents/pytesseract.qmd" class="sidebar-item-text sidebar-link">
  <span class="menu-text">PyTesseract - Improving OCR'd Papers</span></a>
           <a class="sidebar-item-toggle text-start" data-bs-toggle="collapse" data-bs-target="#" role="navigation" aria-expanded="true" aria-label="Toggle section">
             <i class="bi bi-chevron-right ms-2"></i>
@@ -220,7 +220,7 @@
           <li class="sidebar-item">
   <div class="sidebar-item-container"> 
   <a href="../content/PyTesseract_OCR.html" class="sidebar-item-text sidebar-link active">
- <span class="menu-text">PyTesseract_OCR - Improving OCR’d Papers</span></a>
+ <span class="menu-text">PyTesseract_OCR Notebook</span></a>
   </div>
 </li>
       </ul>
@@ -263,7 +263,7 @@ <h2 id="toc-title">On this page</h2>
 <!-- main -->
 <main class="content" id="quarto-document-content">
 
-<header id="title-block-header" class="quarto-title-block default"><nav class="quarto-page-breadcrumbs quarto-title-breadcrumbs d-none d-lg-block" aria-label="breadcrumb"><ol class="breadcrumb"><li class="breadcrumb-item"><a href="../contents/">PyTesseract - Improving OCR’d Papers</a></li><li class="breadcrumb-item"><a href="../content/PyTesseract_OCR.html">PyTesseract_OCR - Improving OCR’d Papers</a></li></ol></nav>
+<header id="title-block-header" class="quarto-title-block default"><nav class="quarto-page-breadcrumbs quarto-title-breadcrumbs d-none d-lg-block" aria-label="breadcrumb"><ol class="breadcrumb"><li class="breadcrumb-item"><a href="../contents/pytesseract.qmd">PyTesseract - Improving OCR’d Papers</a></li><li class="breadcrumb-item"><a href="../content/PyTesseract_OCR.html">PyTesseract_OCR Notebook</a></li></ol></nav>
 <div class="quarto-title">
 <h1 class="title">Issue with Tesseract in PATH</h1>
 </div>
@@ -3677,7 +3677,7 @@ <h1>bj170wc5114</h1>
 </script>
 <nav class="page-navigation">
   <div class="nav-page nav-page-previous">
-      <a href="../contents/" class="pagination-link" aria-label="PyTesseract - Improving OCR'd Papers">
+      <a href="../contents/pytesseract.qmd" class="pagination-link" aria-label="PyTesseract - Improving OCR'd Papers">
         <i class="bi bi-arrow-left-short"></i> <span class="nav-page-text">PyTesseract - Improving OCR’d Papers</span>
       </a>          
   </div>
diff --git a/content/Text_Difference_Checker.html b/content/Text_Difference_Checker.html
index b290e5d..92b8ff5 100644
--- a/content/Text_Difference_Checker.html
+++ b/content/Text_Difference_Checker.html
@@ -63,7 +63,7 @@
 <script src="../site_libs/quarto-search/fuse.min.js"></script>
 <script src="../site_libs/quarto-search/quarto-search.js"></script>
 <meta name="quarto:offset" content="../">
-<link href="../contents/" rel="next">
+<link href="../contents/pytesseract.qmd" rel="next">
 <link href="../content/image_gallery.html" rel="prev">
 <link href="../millerlogo.ico" rel="icon">
 <script src="../site_libs/quarto-html/quarto.js"></script>
@@ -211,7 +211,7 @@
   </li>
         <li class="sidebar-item sidebar-item-section">
       <div class="sidebar-item-container"> 
-            <a href="../contents/" class="sidebar-item-text sidebar-link">
+            <a href="../contents/pytesseract.qmd" class="sidebar-item-text sidebar-link">
  <span class="menu-text">PyTesseract - Improving OCR'd Papers</span></a>
           <a class="sidebar-item-toggle text-start collapsed" data-bs-toggle="collapse" data-bs-target="#" role="navigation" aria-expanded="false" aria-label="Toggle section">
             <i class="bi bi-chevron-right ms-2"></i>
@@ -221,7 +221,7 @@
           <li class="sidebar-item">
   <div class="sidebar-item-container"> 
   <a href="../content/PyTesseract_OCR.html" class="sidebar-item-text sidebar-link">
- <span class="menu-text">PyTesseract_OCR - Improving OCR’d Papers</span></a>
+ <span class="menu-text">PyTesseract_OCR Notebook</span></a>
   </div>
 </li>
       </ul>
@@ -1033,7 +1033,7 @@ <h1>Script to print out Similarity Ratio (%) for each page per paper</h1>
       </a>          
   </div>
   <div class="nav-page nav-page-next">
-      <a href="../contents/" class="pagination-link" aria-label="PyTesseract - Improving OCR'd Papers">
+      <a href="../contents/pytesseract.qmd" class="pagination-link" aria-label="PyTesseract - Improving OCR'd Papers">
         <span class="nav-page-text">PyTesseract - Improving OCR’d Papers</span> <i class="bi bi-arrow-right-short"></i>
       </a>
   </div>
diff --git a/content/experiments-preview.html b/content/experiments-preview.html
index d871f30..b0e0115 100644
--- a/content/experiments-preview.html
+++ b/content/experiments-preview.html
@@ -307,7 +307,7 @@ <h6><i class="bi bi-journal-code"></i> experiments</h6>
   </li>
         <li class="sidebar-item sidebar-item-section">
       <div class="sidebar-item-container"> 
-            <a href="../contents/" class="sidebar-item-text sidebar-link">
+            <a href="../contents/pytesseract.qmd" class="sidebar-item-text sidebar-link">
  <span class="menu-text">PyTesseract - Improving OCR'd Papers</span></a>
           <a class="sidebar-item-toggle text-start collapsed" data-bs-toggle="collapse" data-bs-target="#" role="navigation" aria-expanded="false" aria-label="Toggle section">
             <i class="bi bi-chevron-right ms-2"></i>
@@ -317,7 +317,7 @@ <h6><i class="bi bi-journal-code"></i> experiments</h6>
           <li class="sidebar-item">
   <div class="sidebar-item-container"> 
   <a href="../content/PyTesseract_OCR.html" class="sidebar-item-text sidebar-link">
- <span class="menu-text">PyTesseract_OCR - Improving OCR’d Papers</span></a>
+ <span class="menu-text">PyTesseract_OCR Notebook</span></a>
   </div>
 </li>
       </ul>
diff --git a/content/experiments.html b/content/experiments.html
index 086a12e..55a5011 100644
--- a/content/experiments.html
+++ b/content/experiments.html
@@ -216,7 +216,7 @@
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         <li class="sidebar-item sidebar-item-section">
       <div class="sidebar-item-container"> 
-            <a href="../contents/" class="sidebar-item-text sidebar-link">
+            <a href="../contents/pytesseract.qmd" class="sidebar-item-text sidebar-link">
  <span class="menu-text">PyTesseract - Improving OCR'd Papers</span></a>
           <a class="sidebar-item-toggle text-start collapsed" data-bs-toggle="collapse" data-bs-target="#" role="navigation" aria-expanded="false" aria-label="Toggle section">
             <i class="bi bi-chevron-right ms-2"></i>
@@ -226,7 +226,7 @@
           <li class="sidebar-item">
   <div class="sidebar-item-container"> 
   <a href="../content/PyTesseract_OCR.html" class="sidebar-item-text sidebar-link">
- <span class="menu-text">PyTesseract_OCR - Improving OCR’d Papers</span></a>
+ <span class="menu-text">PyTesseract_OCR Notebook</span></a>
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 </li>
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diff --git a/content/experiments.out.ipynb b/content/experiments.out.ipynb
index a43e4f8..5e56e64 100644
--- a/content/experiments.out.ipynb
+++ b/content/experiments.out.ipynb
@@ -6,7 +6,7 @@
       "source": [
         "# experiments"
       ],
-      "id": "bcf10b6a-faae-4b85-ba74-fd3d890c94e0"
+      "id": "13c34e00-4f82-48d8-bf07-4e10ad16877c"
     },
     {
       "cell_type": "code",
@@ -59,7 +59,7 @@
         "\n",
         "# Results"
       ],
-      "id": "31f9ed8d-7127-4bb4-94ea-71f45ec9d118"
+      "id": "3d5ec60b-6476-4cbe-a8ce-fac73a471dbe"
     },
     {
       "cell_type": "code",
@@ -111,7 +111,7 @@
         "Store, 5. Retrieve (Vector store query). We came up with four main\n",
         "options (below) with some possible variations (see the yellow arrows)."
       ],
-      "id": "2cf908ad-1afa-4e51-a0c2-1f4c3632f6a1"
+      "id": "a3a86b2d-52c9-42cf-a388-73c247df35fb"
     },
     {
       "cell_type": "code",
@@ -219,7 +219,7 @@
         "}\n",
         "`"
       ],
-      "id": "99151c4e-7ed5-4253-98e9-e7b632cd2814"
+      "id": "0e491287-ad7d-40a9-9ea8-aa884210ff97"
     },
     {
       "cell_type": "code",
@@ -235,7 +235,7 @@
       "source": [
         "neato = require(\"@observablehq/graphviz@0.2\")"
       ],
-      "id": "967f91e8-a3b3-410a-a231-2c879b8c731d"
+      "id": "cf09fa70-c284-4970-80e5-689e542500b1"
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   ],
   "nbformat": 4,
diff --git a/content/image_gallery.html b/content/image_gallery.html
index 011398a..a731652 100644
--- a/content/image_gallery.html
+++ b/content/image_gallery.html
@@ -177,7 +177,7 @@
   </li>
         <li class="sidebar-item sidebar-item-section">
       <div class="sidebar-item-container"> 
-            <a href="../contents/" class="sidebar-item-text sidebar-link">
+            <a href="../contents/pytesseract.qmd" class="sidebar-item-text sidebar-link">
  <span class="menu-text">PyTesseract - Improving OCR'd Papers</span></a>
           <a class="sidebar-item-toggle text-start collapsed" data-bs-toggle="collapse" data-bs-target="#" role="navigation" aria-expanded="false" aria-label="Toggle section">
             <i class="bi bi-chevron-right ms-2"></i>
@@ -187,7 +187,7 @@
           <li class="sidebar-item">
   <div class="sidebar-item-container"> 
   <a href="../content/PyTesseract_OCR.html" class="sidebar-item-text sidebar-link">
- <span class="menu-text">PyTesseract_OCR - Improving OCR’d Papers</span></a>
+ <span class="menu-text">PyTesseract_OCR Notebook</span></a>
   </div>
 </li>
       </ul>
diff --git a/content/plan.html b/content/plan.html
index 77fcc46..532e4c6 100644
--- a/content/plan.html
+++ b/content/plan.html
@@ -177,7 +177,7 @@
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         <li class="sidebar-item sidebar-item-section">
       <div class="sidebar-item-container"> 
-            <a href="../contents/" class="sidebar-item-text sidebar-link">
+            <a href="../contents/pytesseract.qmd" class="sidebar-item-text sidebar-link">
  <span class="menu-text">PyTesseract - Improving OCR'd Papers</span></a>
           <a class="sidebar-item-toggle text-start collapsed" data-bs-toggle="collapse" data-bs-target="#" role="navigation" aria-expanded="false" aria-label="Toggle section">
             <i class="bi bi-chevron-right ms-2"></i>
@@ -187,7 +187,7 @@
           <li class="sidebar-item">
   <div class="sidebar-item-container"> 
   <a href="../content/PyTesseract_OCR.html" class="sidebar-item-text sidebar-link">
- <span class="menu-text">PyTesseract_OCR - Improving OCR’d Papers</span></a>
+ <span class="menu-text">PyTesseract_OCR Notebook</span></a>
   </div>
 </li>
       </ul>
diff --git a/index.html b/index.html
index 2780c3f..0593e0b 100644
--- a/index.html
+++ b/index.html
@@ -176,7 +176,7 @@
   </li>
         <li class="sidebar-item sidebar-item-section">
       <div class="sidebar-item-container"> 
-            <a href="./contents/" class="sidebar-item-text sidebar-link">
+            <a href="./contents/pytesseract.qmd" class="sidebar-item-text sidebar-link">
  <span class="menu-text">PyTesseract - Improving OCR'd Papers</span></a>
           <a class="sidebar-item-toggle text-start collapsed" data-bs-toggle="collapse" data-bs-target="#" role="navigation" aria-expanded="false" aria-label="Toggle section">
             <i class="bi bi-chevron-right ms-2"></i>
@@ -186,7 +186,7 @@
           <li class="sidebar-item">
   <div class="sidebar-item-container"> 
   <a href="./content/PyTesseract_OCR.html" class="sidebar-item-text sidebar-link">
- <span class="menu-text">PyTesseract_OCR - Improving OCR’d Papers</span></a>
+ <span class="menu-text">PyTesseract_OCR Notebook</span></a>
   </div>
 </li>
       </ul>
diff --git a/search.json b/search.json
index 1d7647a..d4379bc 100644
--- a/search.json
+++ b/search.json
@@ -719,7 +719,7 @@
     "text": "import cv2\nimport pytesseract\nimport difflib\nimport glob\nimport os\nfrom IPython.display import Image\nimport matplotlib.pyplot as plt\n%matplotlib inline\npytesseract.pytesseract.tesseract_cmd = r'C:\\Users\\USER\\AppData\\Local\\Programs\\Tesseract-OCR\\tesseract.exe'\nImage(filename='./tesseract PATH.png')\nImage(filename='./Fix OCR Papers/bg870mr8040/bg870mr8040_0001.jpg')",
     "crumbs": [
       "PyTesseract - Improving OCR'd Papers",
-      "PyTesseract_OCR - Improving OCR'd Papers"
+      "PyTesseract_OCR Notebook"
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   {
@@ -730,7 +730,7 @@
     "text": "Reading Images Using OpenCV\nOpenCV allows reading different types of images (JPG, PNG, etc). You can load grayscale images, color images or you can also load images with Alpha channel. It uses the cv2.imread() function which has the following syntax:\nimage = cv2.imread(filename[,flags])\nThe function has 1 required input argument and one optional flag:\nfilename: This can be an absolute or relative path. This is a mandatory argument.\nFlags: These flags are used to read an image in a particular format (for example, grayscale/color/with alpha channel). This is an optional argument with a default value of cv2.IMREAD_COLOR or 1 which loads the image as a color image.\nFlags\n\ncv2.IMREAD_GRAYSCALE or 0: Loads image in grayscale mode\ncv2.IMREAD_COLOR or 1: Loads a color image. Any transparency of image will be neglected. It is the default flag.\ncv2.IMREAD_UNCHANGED or -1: Loads image as such including alpha channel.\n\n\nimage_example = cv2.imread(\"./Fix OCR Papers/bg870mr8040/bg870mr8040_0001.jpg\")\n\nprint(\"Image size (H, W) is:\", image_example.shape)\n\n'''3301 is the height of the image in pixels. 2521 is the width of the image in pixels.\n3 denotes that the image has 3 channels. This suggests that the image is a standard RGB (Red, Green, Blue) image, \nwhere each pixel is represented by a combination of three values corresponding to the intensity of the red, green, and blue channels, respectively. \nTherefore, each pixel in the image requires three values to represent its color information.'''\n\nImage size (H, W) is: (3301, 2521, 3)\n\n\n'3301 is the height of the image in pixels. 2521 is the width of the image in pixels.\\n3 denotes that the image has 3 channels. This suggests that the image is a standard RGB (Red, Green, Blue) image, \\nwhere each pixel is represented by a combination of three values corresponding to the intensity of the red, green, and blue channels, respectively. \\nTherefore, each pixel in the image requires three values to represent its color information.'\n\n\n\nplt.imshow(image_example)\n\n\n\n\n\n\n\n\n\ncropped_title = image_example[200:650, 200:2500]\nplt.imshow(cropped_title)",
     "crumbs": [
       "PyTesseract - Improving OCR'd Papers",
-      "PyTesseract_OCR - Improving OCR'd Papers"
+      "PyTesseract_OCR Notebook"
     ]
   },
   {
@@ -741,7 +741,7 @@
     "text": "Resizing Images\nThe function resize resizes the image src down to or up to the specified size. The size and type are derived from the src,dsize,fx, and fy.\nFunction Syntax\nresize_img = resize( src, dsize[, dst[, fx[, fy[, interpolation]]]] ) - resize_img: output image; it has the size dsize (when it is non-zero) or the size computed from src.size(), fx, and fy; the type of dst is the same as of src.\nThe function has 2 required arguments:\n\nsrc: input image\ndsize: output image size. If it equals zero, it is computed as: dsize = Size(round(fx * src.cols), round(fy * src.rows))\n\nOptional arguments that are often used include:\n\nfx: Scale factor along the horizontal axis; when it equals 0, it is computed as (𝚍𝚘𝚞𝚋𝚕𝚎)𝚍𝚜𝚒𝚣𝚎.𝚠𝚒𝚍𝚝𝚑/𝚜𝚛𝚌.𝚌𝚘𝚕𝚜\nfy: Scale factor along the vertical axis; when it equals 0, it is computed as (𝚍𝚘𝚞𝚋𝚕𝚎)𝚍𝚜𝚒𝚣𝚎.𝚑𝚎𝚒𝚐𝚑𝚝/𝚜𝚛𝚌.𝚛𝚘𝚠𝚜",
     "crumbs": [
       "PyTesseract - Improving OCR'd Papers",
-      "PyTesseract_OCR - Improving OCR'd Papers"
+      "PyTesseract_OCR Notebook"
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   },
   {
@@ -752,7 +752,7 @@
     "text": "#1: Specifying Scaling Factor using fx and fy\n\nresized_cropped_img = cv2.resize(cropped_title, None, fx=2, fy=2)\nprint(\"Image size (H, W) once doubled:\", resized_cropped_img.shape)\nplt.imshow(resized_cropped_img)\n\nImage size (H, W) once doubled: (900, 4600, 3)",
     "crumbs": [
       "PyTesseract - Improving OCR'd Papers",
-      "PyTesseract_OCR - Improving OCR'd Papers"
+      "PyTesseract_OCR Notebook"
     ]
   },
   {
@@ -763,7 +763,7 @@
     "text": "#2 Specify exact size of output image\n\ndesired_width = 3000\ndesired_height = 1000\ndim = (desired_width, desired_height)\n\nresized_cropped_img2 = cv2.resize(cropped_title, dsize = dim, interpolation= cv2.INTER_AREA)\nplt.imshow(resized_cropped_img2)\n\n\n\n\n\n\n\n\n\ncv2.imwrite(\"./Fix OCR Papers/bg870mr8040/bg870mr8040_0001-cropped.jpg\", resized_cropped_img2)\n\nTrue",
     "crumbs": [
       "PyTesseract - Improving OCR'd Papers",
-      "PyTesseract_OCR - Improving OCR'd Papers"
+      "PyTesseract_OCR Notebook"
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   },
   {
@@ -774,7 +774,7 @@
     "text": "Converting to different Color Spaces\ncv2.cvtColor() Converts an image from one color space to another. The function converts an input image from one color space to another. In case of a transformation to-from RGB color space, the order of the channels should be specified explicitly (RGB or BGR). Note that the default color format in OpenCV is often referred to as RGB but it is actually BGR (the bytes are reversed). So the first byte in a standard (24-bit) color image will be an 8-bit Blue component, the second byte will be Green, and the third byte will be Red. The fourth, fifth, and sixth bytes would then be the second pixel (Blue, then Green, then Red), and so on.\nFunction Syntax\ndst = cv2.cvtColor( src, code )\n\ndst: Is the output image of the same size and depth as src.\n\nThe function has 2 required arguments:\n\nsrc input image: 8-bit unsigned, 16-bit unsigned ( CV_16UC… ), or single-precision floating-point.\ncode color space conversion code (see ColorConversionCodes).\n\n\nimage_example = cv2.imread(\"./Fix OCR Papers/bg870mr8040/bg870mr8040_0001.jpg\")\n\ngray = cv2.cvtColor(image_example, cv2.COLOR_BGR2GRAY)\n\n\n\nplt.imshow(gray)\n\n\n\n\n\n\n\n\n\nimg_rgb = cv2.cvtColor(image_example, cv2.COLOR_BGR2RGB)\n\nplt.imshow(img_rgb)",
     "crumbs": [
       "PyTesseract - Improving OCR'd Papers",
-      "PyTesseract_OCR - Improving OCR'd Papers"
+      "PyTesseract_OCR Notebook"
     ]
   },
   {
@@ -785,7 +785,7 @@
     "text": "Image Denoising in OpenCV\n\nTheory\n\nDenoising refers to the process of removing noise from an image, where noise is random variations in brightness or color that can obscure the underlying structure of the image.\nDenoising is essential in various image processing tasks to improve the quality of images and enhance subsequent analysis or visualization.\n\nOpenCV provides four variations of this technique:\n\ncv.fastNlMeansDenoising() - works with a single grayscale images\ncv.fastNlMeansDenoisingColored() - works with a color image.\ncv.fastNlMeansDenoisingMulti() - works with image sequence captured in short period of time (grayscale images)\ncv.fastNlMeansDenoisingColoredMulti() - same as above, but for color images.\n\nFunction Syntax\ndenoised = cv2.fastNlMeansDenoising(src, None, h=10, templateWindowSize=7, searchWindowSize=21)\n\nsrc: Imput image- should be an 8-bit or 16-bit single channel image\nNone: This parameter is a placeholder for the output denoised image. Since we want to obtain the denoised image as the output, we pass None, and the function will allocate memory for the output automatically.\nh: Parameter regulating filter strength. A larger h value leads to stronger denoising. Typically, h should be between 5 and 20. (10 is ok)\nA larger h value will result in stronger filtering, which means more noise reduction but also more potential blurring of edges and details in the image. Conversely, a smaller h value will result in weaker filtering, preserving more details but potentially leaving more noise in the image.\ntemplateWindowSize: size in pixels of the window used to compute the weighted average for a given pixel. It should be an odd value, typically in the range of 3 to 21. (recommended 7)\nsearchWindowSize: Size in pixels of the window used to search for similar patches. It should be an odd value, typically larger than templateWindowSize (recommended 21)\n\nPurpose of each parameter\n\nh: Controls the amount of denoising. Higher values of “h” will result in stronger denoising\ntemplateWindowSize: Determines the size of the pixel neighborhood used to compute the weighted average for denoising. Larger values will result in smoother output but may remove finer details.\nsearchWindowSize: Determines the size of the neighborhood to search for similar patches. Larger values will consider a larger region for similarity, which may increase computational cost but can provide better denoising.",
     "crumbs": [
       "PyTesseract - Improving OCR'd Papers",
-      "PyTesseract_OCR - Improving OCR'd Papers"
+      "PyTesseract_OCR Notebook"
     ]
   },
   {
@@ -796,7 +796,7 @@
     "text": "Denoising @ H = 28 & 29; manipulating templateWindowSize and searchWindowSize\n\ndef enhance_ocr_quality(image_path):\n    # Read the image\n    image = cv2.imread(image_path)\n    \n    # Convert the image to grayscale\n    gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)\n    \n    '''By denoising the image before applying adaptive thresholding, we aim to enhance the quality of the image \n    by reducing noise, which can improve the accuracy of the thresholding process. This can lead to better \n    segmentation of the foreground (text) from the background.'''\n    \n    #Apply image denoising.\n    #Noise is a random variation of brightness or color in an image, it is usually added when we scan documents.\n    denoised = cv2.fastNlMeansDenoising(gray, None, h=28, templateWindowSize=7, searchWindowSize=19)\n    \n    # Apply adaptive thresholding to binarize the image. \n    threshold_img = cv2.adaptiveThreshold(denoised, 255, cv2.ADAPTIVE_THRESH_GAUSSIAN_C, cv2.THRESH_BINARY, 11, 2)\n    \n    # Resize image to improve OCR accuracy and speed\n    resized_img = cv2.resize(threshold_img, None, fx=2, fy=2, interpolation=cv2.INTER_CUBIC)\n        \n    # Perform OCR using PyTesseract\n    extracted_text = pytesseract.image_to_string(resized_img)\n    \n    return extracted_text\n\n# Example usage:\nimage_path = './Fix OCR Papers/bg870mr8040/bg870mr8040_0001-cropped.jpg'\nextracted_text = enhance_ocr_quality(image_path)\nprint(\"Extracted Text with Denoising H = 28, templateWindowSize = 7, searchWindowSize = 19\")\nprint(extracted_text)\n\nExtracted Text with Denoising H = 28, templateWindowSize = 7, searchWindowSize = 19\n——\n\nRNA SYNTHESIS DURING EMBRYOGENESIS AND LATER DEVELOPMENT\n\nIN THR BARNACLE POLLICIPES POLYNERUS",
     "crumbs": [
       "PyTesseract - Improving OCR'd Papers",
-      "PyTesseract_OCR - Improving OCR'd Papers"
+      "PyTesseract_OCR Notebook"
     ]
   },
   {
@@ -807,7 +807,7 @@
     "text": "Thresholding\n\nFor every pixel, the same threshold value is applied. If the pixel value is smaller than the threshold, it is set to 0, otherwise it is set to a maximum value.\nThe function cv.threshold is used to apply the thresholding.\n\n\nBasic Method for Global Threshold\n\ncv2.threshold function returns two values:\n\nretval: The computed threshold values, which can be useful if the threshold method is adaptive\ndst: The output binary image after applying thresholding\n\n\nretval, dst = cv2.threshold(src, thresh, maxval, type[, dst])\n\nsrc: Input image, a single-channel (grayscale) image of type uint8 or float32.\nthresh: Threshold value. Pixel values greater than the threshold will be set to maxval, and values less than or equal to the threshold will be set to 0.\nmaxval: Maximum value to use with the cv2.THRESH_BINARY and cv2.THRESH_BINARY_INV thresholding types. It is typically set to 255.\ntype: Type of thresholding to apply. It can be one of the following:\n\ncv2.THRESH_BINARY: Binary thresholding. Pixels with values greater than the threshold are set to maxval, and the rest are set to 0.\ncv2.THRESH_BINARY_INV: Inverse binary thresholding. Pixels with values greater than the threshold are set to 0, and the rest are set to maxval.\ncv2.THRESH_TRUNC: Truncated thresholding. Pixels with values greater than the threshold are set to the threshold value, and the rest remain unchanged.\ncv2.THRESH_TOZERO: Thresholding to zero. Pixels with values less than the threshold are set to 0, and the rest remain unchanged.\ncv2.THRESH_TOZERO_INV: Inverse thresholding to zero. Pixels with values greater than the threshold are set to 0, and the rest remain unchanged.\n\ndst (optional): Output image of the same size and type as the input image (src). If not specified, the function modifies the input image in place.\n\n\n\nAdaptive Threshold\ndst = cv2.adaptiveThreshold(src, maxValue, adaptiveMethod, thresholdType, blockSize, C[, dst])\n\nsrc: input image\nUnlike cv2.threshold which uses a single global threshold value, cv2.adaptiveThreshold computes the threshold for each pixel based on the local neighborhood of the pixel.\nadaptiveMethod parameter specifies the method used to compute which can either:\n\ncv2.ADAPTIVE_THRESH_MEAN_C\ncv2.ADAPTIVE_THRESH_GAUSSIAN_C\n\nblockSize: determines the size of the local neighborhood for computing the threshold. Should be an odd number, Since the neighborhood size must be symmetric around the pixel of interest, an odd blockSize ensures that there is a central pixel. If blockSize were even, there would be no exact center pixel, which could lead to complications in the computation.\nc: a constant subtracted from the mean or weighted mean calculated by the adaptive method. It adjusts the threshold value.\n\n\nimg = cv2.imread('./Fix OCR Papers/bg870mr8040/bg870mr8040_0001.jpg', cv2.IMREAD_GRAYSCALE)\n# assert img is not None, \"file could not be read, check with os.path.exists()\"\nret,thresh1 = cv2.threshold(img,127,255,cv2.THRESH_BINARY)\nret,thresh2 = cv2.threshold(img,127,255,cv2.THRESH_BINARY_INV)\nret,thresh3 = cv2.threshold(img,127,255,cv2.THRESH_TRUNC)\nret,thresh4 = cv2.threshold(img,127,255,cv2.THRESH_TOZERO)\nret,thresh5 = cv2.threshold(img,127,255,cv2.THRESH_TOZERO_INV)\ntitles = ['Original Image','BINARY','BINARY_INV','TRUNC','TOZERO','TOZERO_INV']\nimages = [img, thresh1, thresh2, thresh3, thresh4, thresh5]\nfor i in range(6):\n plt.subplot(2,3,i+1),plt.imshow(images[i],'gray',vmin=0,vmax=255)\n plt.title(titles[i])\n plt.xticks([]),plt.yticks([])\nplt.show()",
     "crumbs": [
       "PyTesseract - Improving OCR'd Papers",
-      "PyTesseract_OCR - Improving OCR'd Papers"
+      "PyTesseract_OCR Notebook"
     ]
   },
   {
@@ -818,7 +818,7 @@
     "text": "Adaptive Thresholding\n\nAdjusting adaptiveMethod\n\ndef enhance_ocr_quality(image_path):\n    # Read the image\n    image = cv2.imread(image_path)\n    \n    # Convert the image to grayscale\n    gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)\n    \n    '''By denoising the image before applying adaptive thresholding, we aim to enhance the quality of the image \n    by reducing noise, which can improve the accuracy of the thresholding process. This can lead to better \n    segmentation of the foreground (text) from the background.'''\n    \n    #Apply image denoising.\n    #Noise is a random variation of brightness or color in an image, it is usually added when we scan documents.\n    denoised = cv2.fastNlMeansDenoising(gray, None, h=28, templateWindowSize=7, searchWindowSize=19)\n    \n    # Apply adaptive thresholding to binarize the image. \n    threshold_img = cv2.adaptiveThreshold(denoised, 255, cv2.ADAPTIVE_THRESH_GAUSSIAN_C, cv2.THRESH_BINARY, 11, 2)\n    \n    # Resize image to improve OCR accuracy and speed\n    resized_img = cv2.resize(threshold_img, None, fx=2, fy=2, interpolation=cv2.INTER_CUBIC)\n        \n    # Perform OCR using PyTesseract\n    extracted_text = pytesseract.image_to_string(resized_img)\n    \n    return extracted_text\n\n# Example usage:\nimage_path = './Fix OCR Papers/bg870mr8040/bg870mr8040_0001-cropped.jpg'\nextracted_text = enhance_ocr_quality(image_path)\nprint(\"Extracted Text with Denoising H = 30 & AdaptiveThreshold cv2.ADAPTIVE_THRESH_GAUSSIAN_C, cv2.THRESH_BINARY:\")\nprint(extracted_text)\n\nExtracted Text with Denoising H = 30 & AdaptiveThreshold cv2.ADAPTIVE_THRESH_GAUSSIAN_C, cv2.THRESH_BINARY:\n——\n\nRNA SYNTHESIS DURING EMBRYOGENESIS AND LATER DEVELOPMENT\n\nIN THR BARNACLE POLLICIPES POLYNERUS\n\n\n\n\n\ndef enhance_ocr_quality(image_path):\n    # Read the image\n    image = cv2.imread(image_path)\n    \n    # Convert the image to grayscale\n    gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)\n    \n    '''By denoising the image before applying adaptive thresholding, we aim to enhance the quality of the image \n    by reducing noise, which can improve the accuracy of the thresholding process. This can lead to better \n    segmentation of the foreground (text) from the background.'''\n    \n    #Apply image denoising.\n    #Noise is a random variation of brightness or color in an image, it is usually added when we scan documents.\n    denoised = cv2.fastNlMeansDenoising(gray, None, h=30, templateWindowSize=7, searchWindowSize=21)\n    \n    # Apply adaptive thresholding to binarize the image. \n    threshold_img = cv2.adaptiveThreshold(denoised, 255, cv2.ADAPTIVE_THRESH_MEAN_C, cv2.THRESH_BINARY, 11, 2)\n    \n    # Resize image to improve OCR accuracy and speed\n    resized_img = cv2.resize(threshold_img, None, fx=2, fy=2, interpolation=cv2.INTER_CUBIC)\n        \n    # Perform OCR using PyTesseract\n    extracted_text = pytesseract.image_to_string(resized_img)\n    \n    return extracted_text\n\n# Example usage:\nimage_path = './Fix OCR Papers/bg870mr8040/bg870mr8040_0001-cropped.jpg'\nextracted_text = enhance_ocr_quality(image_path)\nprint(\"Extracted Text with Denoising H = 30 & cv2.ADAPTIVE_THRESH_MEAN_C, cv2.THRESH_BINARY :\")\nprint(extracted_text)\n\nExtracted Text with Denoising H = 30 & cv2.ADAPTIVE_THRESH_MEAN_C, cv2.THRESH_BINARY :\nRid SYNTHESIS DURING EMBRYOGENESIS AND LATER DEVELOPMENT\n\nIN THE BARNACLE POLLICIPES POLYMERUS\n\n\n\n\nraw_image = cv2.imread(\"./Fix OCR Papers/bg870mr8040/bg870mr8040_0002.jp2\")",
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diff --git a/sitemap.xml b/sitemap.xml
index 990bab7..a87259c 100644
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+++ b/sitemap.xml
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