--- a
+++ b/AnalysisCodes/SSD/dividingImages.ipynb
@@ -0,0 +1,117 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "ename": "ModuleNotFoundError",
+     "evalue": "No module named 'cv2'",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[1;31mModuleNotFoundError\u001b[0m                       Traceback (most recent call last)",
+      "\u001b[1;32m<ipython-input-6-52622fdc5d50>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m()\u001b[0m\n\u001b[0;32m      2\u001b[0m \u001b[1;32mimport\u001b[0m \u001b[0mcsv\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      3\u001b[0m \u001b[1;32mimport\u001b[0m \u001b[0mshutil\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 4\u001b[1;33m \u001b[1;32mimport\u001b[0m \u001b[0mcv2\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m      5\u001b[0m \u001b[1;32mimport\u001b[0m \u001b[0mnumpy\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      6\u001b[0m \u001b[1;32mfrom\u001b[0m \u001b[0mPIL\u001b[0m \u001b[1;32mimport\u001b[0m \u001b[0mImage\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
+      "\u001b[1;31mModuleNotFoundError\u001b[0m: No module named 'cv2'"
+     ]
+    }
+   ],
+   "source": [
+    "import os\n",
+    "import csv\n",
+    "import shutil\n",
+    "import cv2\n",
+    "import numpy \n",
+    "from PIL import Image\n",
+    "import matplotlib.pyplot as plt\n",
+    "import matplotlib.patches as patches"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "with open('trains.txt') as filenames:\n",
+    "    reader = csv.reader(filenames)\n",
+    "    for f in reader:\n",
+    "        shutil.move(\"./images/\" + f[0][:-4] + '.jpg' , \"./trainImages\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "with open('testimages.txt') as filenames:\n",
+    "    reader = csv.reader(filenames)\n",
+    "    for f in reader:\n",
+    "        shutil.move(\"./images/\" + f[0][:-4] + '.jpg', \"./testImages\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "allfiles=os.listdir('images')\n",
+    "imlist=[filename for filename in allfiles if  filename[-4:] in [\".jpg\",\".JPG\"]]\n",
+    "\n",
+    "\n",
+    "w,h=Image.open('images/' + imlist[0]).size\n",
+    "N=len(imlist)\n",
+    "\n",
+    "res = 0\n",
+    "\n",
+    "for im in imlist:\n",
+    "    tempim = Image.open('images/' + im)\n",
+    "    w, h = tempim.size\n",
+    "    \n",
+    "    imarr=numpy.array(tempim,dtype=numpy.float)\n",
+    "    if(len(imarr.shape) == 3):\n",
+    "        imarr = imarr[:,:,0]\n",
+    "    avg = 0\n",
+    "    for x in range(w):\n",
+    "        for y in range(h):\n",
+    "            avg = avg + imarr[y][x]\n",
+    "    avg = avg/(w*h)\n",
+    "    res = res + avg/N\n",
+    "\n",
+    "print(res)\n",
+    " "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.6.5"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}