diff --git a/Video-Image-Data-Tutorial/Ford_Video_Analysis.ipynb b/Video-Image-Data-Tutorial/Ford_Video_Analysis.ipynb
index 90f8144c64ad0b94ace759a25ef7c5c8fe5d0e67..c65289a81d9fb1e5b632d9795fcad66fcf22e60c 100644
--- a/Video-Image-Data-Tutorial/Ford_Video_Analysis.ipynb
+++ b/Video-Image-Data-Tutorial/Ford_Video_Analysis.ipynb
@@ -1,44 +1,31 @@
 {
-  "nbformat": 4,
-  "nbformat_minor": 0,
-  "metadata": {
-    "colab": {
-      "name": "Ford_Video_Analysis.ipynb",
-      "provenance": [],
-      "collapsed_sections": []
-    },
-    "kernelspec": {
-      "name": "python3",
-      "display_name": "Python 3"
-    },
-    "language_info": {
-      "name": "python"
-    }
-  },
   "cells": [
     {
       "cell_type": "markdown",
+      "metadata": {
+        "id": "OqSmFS3lZj9Y"
+      },
       "source": [
         "# <center> Video Image Data </center>\n",
         "#### CMSE 495 Ford Group\n",
         "\n",
         "This tutorial teaches the user how to input a video file, such a mp4 and convert each frame of the video into a jpeg image using python, primarily in a Jupyter notebook."
-      ],
-      "metadata": {
-        "id": "OqSmFS3lZj9Y"
-      }
+      ]
     },
     {
       "cell_type": "markdown",
-      "source": [
-        "[![Open in Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/pathakis/DataTools_Tutorial_Demo/blob/main/Video-Image-Data-Tutorial/Ford_Video_Analysis.ipynb)"
-      ],
       "metadata": {
         "id": "uey1neRTkRwd"
-      }
+      },
+      "source": [
+        "[![Open in Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/pathakis/DataTools_Tutorial_Demo/blob/main/Video-Image-Data-Tutorial/Ford_Video_Analysis.ipynb)"
+      ]
     },
     {
       "cell_type": "markdown",
+      "metadata": {
+        "id": "GQIJxk_kdjT1"
+      },
       "source": [
         "<b> Environment Setup (Makefile):</b>\n",
         "- Use the command 'make innit' automatically set up the environment for you.\n",
@@ -61,33 +48,35 @@
         "<b> Usage Instructions:</b>\n",
         "\n",
         "- The example call shows the format in which this func may be used.\n"
-      ],
-      "metadata": {
-        "id": "GQIJxk_kdjT1"
-      }
+      ]
     },
     {
       "cell_type": "markdown",
-      "source": [
-        "This process uses 2  packages called [os](https://docs.python.org/3/library/os.html)  and [cv2](https://pypi.org/project/opencv-python/). Os provides  miscellaneous operating system interfaces such as opening and reading the files."
-      ],
       "metadata": {
         "id": "f0aUW4PLdobE"
-      }
+      },
+      "source": [
+        "This process uses 2  packages called [os](https://docs.python.org/3/library/os.html)  and [cv2](https://pypi.org/project/opencv-python/). Os provides  miscellaneous operating system interfaces such as opening and reading the files."
+      ]
     },
     {
       "cell_type": "code",
-      "source": [
-        "# !pip install opencv-python"
-      ],
+      "execution_count": null,
       "metadata": {
         "id": "JGkN_k3BgXV8"
       },
-      "execution_count": null,
-      "outputs": []
+      "outputs": [],
+      "source": [
+        "# !pip install opencv-python"
+      ]
     },
     {
       "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "PCbpVR-HZzmt"
+      },
+      "outputs": [],
       "source": [
         "import cv2\n",
         "import os\n",
@@ -128,28 +117,29 @@
         "  \n",
         "  #releasing the threads\n",
         "    vidcap.release()\n"
-      ],
-      "metadata": {
-        "id": "PCbpVR-HZzmt"
-      },
-      "execution_count": null,
-      "outputs": []
+      ]
     },
     {
+      "attachments": {},
       "cell_type": "markdown",
+      "metadata": {
+        "id": "hBfLcvMhh6v7"
+      },
       "source": [
         "DEMO FOR THE **avi_to_frames** \n",
         "\n",
-        "1. To download a sample avi file that you want to work with, use the following code `urllib.request.urlretrieve('https://www.engr.colostate.edu/me/facil/dynamics/files/drop.avi', 'testing.mp4')` \n",
+        "1. To download a sample avi file that you want to work with, use the following code `urllib.request.urlretrieve('https://file-examples.com/wp-content/uploads/2018/04/file_example_AVI_480_750kB.avi', 'testing.mp4')` \n",
         "\n",
         "2. After the video has been downloaded `avi_frames(./testing.mp4, path_to_where_you_want_the_frames, False)` this will create a folder with frames from the video."
-      ],
-      "metadata": {
-        "id": "hBfLcvMhh6v7"
-      }
+      ]
     },
     {
       "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "-N-hJD11jJjo"
+      },
+      "outputs": [],
       "source": [
         "# Making a Video From Frames\n",
         "def frames_to_video(directory_path, fps, width, height):\n",
@@ -163,15 +153,13 @@
         "\n",
         "  cv2.destroyAllWindows()\n",
         "  video.release()"
-      ],
-      "metadata": {
-        "id": "-N-hJD11jJjo"
-      },
-      "execution_count": null,
-      "outputs": []
+      ]
     },
     {
       "cell_type": "markdown",
+      "metadata": {
+        "id": "sIhvc4DplLkE"
+      },
       "source": [
         "DEMO FOR THE **frames_to_video** \n",
         "\n",
@@ -180,46 +168,66 @@
         "2. Run the following command (**make the necessary changes in the function call**)`frames_to_video(where_the_frames_are, fps, width, height)`\n",
         "\n",
         "3. The video will show up in the current directory."
-      ],
-      "metadata": {
-        "id": "sIhvc4DplLkE"
-      }
+      ]
     },
     {
       "cell_type": "markdown",
-      "source": [
-        "**The code below will put the image arrays into a list.** This snippet of code utilizes glob but packages like os can also be used."
-      ],
       "metadata": {
         "id": "bnfzxPNJeZVS"
-      }
+      },
+      "source": [
+        "**The code below will put the image arrays into a list.** This snippet of code utilizes glob but packages like os can also be used."
+      ]
     },
     {
       "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "mLbqPW7SeJd-"
+      },
+      "outputs": [],
       "source": [
         "path = glob.glob(\"./*.jpg\")\n",
         "images = []\n",
         "for img in path:\n",
         "  n = cv2.imread(img)\n",
         "  images.append(n)"
-      ],
-      "metadata": {
-        "id": "mLbqPW7SeJd-"
-      },
-      "execution_count": null,
-      "outputs": []
+      ]
     },
     {
       "cell_type": "markdown",
+      "metadata": {
+        "id": "GIq-_h4wdxWM"
+      },
       "source": [
         "<b> References:</b>\n",
         "- [Managing Environments](https://docs.conda.io/projects/conda/en/latest/user-guide/tasks/manage-environments.html)\n",
         "- [Open CV in python](https://pypi.org/project/opencv-python/)\n",
         "- [Colab Button](https://www.youtube.com/watch?v=RoGZIbwzG5w)"
-      ],
-      "metadata": {
-        "id": "GIq-_h4wdxWM"
+      ]
+    }
+  ],
+  "metadata": {
+    "colab": {
+      "collapsed_sections": [],
+      "name": "Ford_Video_Analysis.ipynb",
+      "provenance": []
+    },
+    "kernelspec": {
+      "display_name": "base",
+      "language": "python",
+      "name": "python3"
+    },
+    "language_info": {
+      "name": "python",
+      "version": "3.9.15"
+    },
+    "vscode": {
+      "interpreter": {
+        "hash": "4f3567101b31d35f97cf2856951ebbba1e09a3f852422478e736adda2bb3beee"
       }
     }
-  ]
-}
\ No newline at end of file
+  },
+  "nbformat": 4,
+  "nbformat_minor": 0
+}