changes

Encoding_Kelly.ipynb

@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 1,
    "id": "8868bc30",
    "metadata": {},
    "outputs": [],
@@ -24,7 +24,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 397,
+   "execution_count": 2,
    "id": "76317b02",
    "metadata": {},
    "outputs": [],
@@ -79,7 +79,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 398,
+   "execution_count": 3,
    "id": "be1ff8a1",
    "metadata": {},
    "outputs": [],
@@ -125,7 +125,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 399,
+   "execution_count": 4,
    "id": "8483903e",
    "metadata": {},
    "outputs": [],
@@ -173,7 +173,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 400,
+   "execution_count": 5,
    "id": "64a3a193",
    "metadata": {},
    "outputs": [],
@@ -614,17 +614,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 427,
+   "execution_count": 14,
    "id": "15eecad3",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "0.44225341796875"
+       "0.4427516682942708"
       ]
      },
-     "execution_count": 427,
+     "execution_count": 14,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -635,7 +635,6 @@
     "    image = Image.open(image)\n",
     "    image = np.array(image)[1:,:]    #Convert to an array, leaving out the first row because the first row is just housekeeping data\n",
     "    image = image.astype(int)\n",
-    "\n",
     "    \n",
     "    boundary = np.hstack((image[0,:],image[-1,:],image[1:-1,0],image[1:-1,-1]))\n",
     "    boundary = boundary - image[0,0]\n",
@@ -932,7 +931,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.1"
+   "version": "3.8.11"
   }
  },
  "nbformat": 4,