update

.ipynb_checkpoints/Error_to_Image-checkpoint.ipynb

@@ -776,7 +776,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 72,
+   "execution_count": 16,
    "id": "64832ca7",
    "metadata": {},
    "outputs": [
@@ -784,7 +784,18 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "6.736892561802416\n"
+      "[58 38 13 ... 65 97 32]\n"
+     ]
+    },
+    {
+     "ename": "NameError",
+     "evalue": "name 'o' is not defined",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[1;31mNameError\u001b[0m                                 Traceback (most recent call last)",
+      "\u001b[1;32m~\\AppData\\Local\\Temp/ipykernel_2620/2795330121.py\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m      7\u001b[0m     \u001b[0mfreqs\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;33m[\u001b[0m\u001b[0mx\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mcount\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mvalue\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;33m/\u001b[0m \u001b[0mlen\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mx\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;32mfor\u001b[0m \u001b[0mvalue\u001b[0m \u001b[1;32min\u001b[0m \u001b[0mset\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mx\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      8\u001b[0m     \u001b[1;32mreturn\u001b[0m \u001b[0mfreqs\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 9\u001b[1;33m \u001b[0mprint\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0msp\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mstats\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mentropy\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mrel_freq\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mlist\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mnp\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mravel\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mo\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m     10\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     11\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0mentropy_check\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mx\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0my\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
+      "\u001b[1;31mNameError\u001b[0m: name 'o' is not defined"
      ]
     }
    ],
@@ -798,7 +809,7 @@
     "def rel_freq(x):\n",
     "    freqs = [x.count(value) / len(x) for value in set(x)] \n",
     "    return freqs\n",
-    "print(sp.stats.entropy(rel_freq(list(np.ravel(o)))))\n",
+    "print(sp.stats.entropy(rel_freq(list(np.ravel(image)))))\n",
     "\n",
     "def entropy_check(x, y):\n",
     "    #freq = rel_freq(list(np.ravel(o)))\n",

.ipynb_checkpoints/Scout_Clean_Code_with_EncDec-checkpoint.ipynb

@@ -3,7 +3,7 @@
   {
    "cell_type": "code",
    "execution_count": 2,
-   "id": "0d67d099",
+   "id": "5bb42c2c",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -27,7 +27,7 @@
   {
    "cell_type": "code",
    "execution_count": 3,
-   "id": "fc76b964",
+   "id": "ec24fcba",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -74,7 +74,7 @@
   {
    "cell_type": "code",
    "execution_count": 4,
-   "id": "b781115b",
+   "id": "c2430512",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -122,7 +122,7 @@
   {
    "cell_type": "code",
    "execution_count": 10,
-   "id": "fe145ec0",
+   "id": "b973ed91",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -202,7 +202,7 @@
   {
    "cell_type": "code",
    "execution_count": 6,
-   "id": "4fb8f5d0",
+   "id": "4f6a5a0d",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -231,7 +231,7 @@
   {
    "cell_type": "code",
    "execution_count": 7,
-   "id": "9a39a65b",
+   "id": "4b65c7e9",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -293,7 +293,7 @@
   {
    "cell_type": "code",
    "execution_count": 11,
-   "id": "fc4d80bd",
+   "id": "280aafd3",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -307,7 +307,7 @@
   {
    "cell_type": "code",
    "execution_count": 12,
-   "id": "2d82e61a",
+   "id": "c4242b52",
    "metadata": {},
    "outputs": [
     {
@@ -329,7 +329,7 @@
   {
    "cell_type": "code",
    "execution_count": 16,
-   "id": "e35be607",
+   "id": "a9502e22",
    "metadata": {},
    "outputs": [
     {

Error_to_Image.ipynb

@@ -805,11 +805,11 @@
     "plt.colorbar()\n",
     "plt.xlim(0,50)\n",
     "plt.ylim(0,100)\"\"\"\n",
-    "print(diff)\n",
+    "\n",
     "def rel_freq(x):\n",
     "    freqs = [x.count(value) / len(x) for value in set(x)] \n",
     "    return freqs\n",
-    "print(sp.stats.entropy(rel_freq(list(np.ravel(o)))))\n",
+    "print(sp.stats.entropy(rel_freq(list(np.ravel(image)))))\n",
     "\n",
     "def entropy_check(x, y):\n",
     "    #freq = rel_freq(list(np.ravel(o)))\n",

Scout_Clean_Code_with_EncDec.ipynb

@@ -3,7 +3,7 @@
   {
    "cell_type": "code",
    "execution_count": 2,
-   "id": "0d67d099",
+   "id": "5bb42c2c",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -27,7 +27,7 @@
   {
    "cell_type": "code",
    "execution_count": 3,
-   "id": "fc76b964",
+   "id": "ec24fcba",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -74,7 +74,7 @@
   {
    "cell_type": "code",
    "execution_count": 4,
-   "id": "b781115b",
+   "id": "c2430512",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -122,7 +122,7 @@
   {
    "cell_type": "code",
    "execution_count": 10,
-   "id": "fe145ec0",
+   "id": "b973ed91",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -202,7 +202,7 @@
   {
    "cell_type": "code",
    "execution_count": 6,
-   "id": "4fb8f5d0",
+   "id": "4f6a5a0d",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -231,7 +231,7 @@
   {
    "cell_type": "code",
    "execution_count": 7,
-   "id": "9a39a65b",
+   "id": "4b65c7e9",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -293,7 +293,7 @@
   {
    "cell_type": "code",
    "execution_count": 11,
-   "id": "fc4d80bd",
+   "id": "280aafd3",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -307,7 +307,7 @@
   {
    "cell_type": "code",
    "execution_count": 12,
-   "id": "2d82e61a",
+   "id": "c4242b52",
    "metadata": {},
    "outputs": [
     {
@@ -329,7 +329,7 @@
   {
    "cell_type": "code",
    "execution_count": 16,
-   "id": "e35be607",
+   "id": "a9502e22",
    "metadata": {},
    "outputs": [
     {