tutorial: license plate detection notebook to demonstrate fuzzy join (#…

…651)

Added a notebook which does a Fuzzy Join between an image table and a
structured table to detect the license plates in a image dataset.

---------

Co-authored-by: jarulraj <arulraj@gatech.edu>

.gitignore

@@ -180,6 +180,8 @@ tutorials/*.py
 *.pth
 *.pt
 tutorials/bddtest.zip
+tutorials/license.zip
+license/
 bddtest/
 
 # benchmark

tutorials/01-mnist.ipynb

@@ -1,6 +1,7 @@
 {
  "cells": [
   {
+   "attachments": {},
    "cell_type": "markdown",
    "id": "258b9f89",
    "metadata": {},
@@ -28,6 +29,7 @@
    ]
   },
   {
+   "attachments": {},
    "cell_type": "markdown",
    "id": "a0dcaceb",
    "metadata": {},
@@ -87,6 +89,7 @@
    ]
   },
   {
+   "attachments": {},
    "cell_type": "markdown",
    "id": "fd554c08",
    "metadata": {},
@@ -132,6 +135,7 @@
    ]
   },
   {
+   "attachments": {},
    "cell_type": "markdown",
    "id": "6d64d3b6",
    "metadata": {},
@@ -177,13 +181,14 @@
    "source": [
     "cursor.execute('DROP TABLE MNISTVid')\n",
     "response = cursor.fetch_all()\n",
-    "print(response)\n",
+    "response.as_df()\n",
     "cursor.execute('LOAD VIDEO \"mnist.mp4\" INTO MNISTVid')\n",
     "response = cursor.fetch_all()\n",
-    "print(response)"
+    "response.as_df()"
    ]
   },
   {
+   "attachments": {},
    "cell_type": "markdown",
    "id": "6450f505",
    "metadata": {},
@@ -227,6 +232,7 @@
    ]
   },
   {
+   "attachments": {},
    "cell_type": "markdown",
    "id": "686adeb5",
    "metadata": {},
@@ -267,10 +273,11 @@
     "                  IMPL  'eva_mnist_udf.py'\n",
     "        \"\"\")\n",
     "response = cursor.fetch_all()\n",
-    "print(response)"
+    "response.as_df()"
    ]
   },
   {
+   "attachments": {},
    "cell_type": "markdown",
    "id": "7bbd789e",
    "metadata": {},
@@ -369,6 +376,7 @@
    ]
   },
   {
+   "attachments": {},
    "cell_type": "markdown",
    "id": "d81ed233",
    "metadata": {},
@@ -419,14 +427,6 @@
     "\n",
     "plt.show()"
    ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "b78730fd",
-   "metadata": {},
-   "outputs": [],
-   "source": []
   }
  ],
  "metadata": {
@@ -445,7 +445,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.8.10"
+   "version": "3.10.8"
   },
   "varInspector": {
    "cols": {