grass-sky.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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+P3gGPFt3ncMi06O61KWPgZ5XSGbXSl2foQDsLTauU7ed+sU2L6JOCtxc51dP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pO5E7XgRA3fVRqBTkOlPDjfKhrna9S8w2BFoWq8GZ3wnlVqSVWPMFID0IfAVa5c5fdVFDpYRMfX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\nRK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f7f8651b250>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import cv2\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "plt.axis(\"off\")\n",
    "img=cv2.imread(\"grass-sky.jpg\",0)\n",
    "image=cv2.imread(\"image_gray.jpg\")\n",
    "plt.imshow(img ,cmap='gray')        \n",
    "plt.show()    \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": [
    "#click.py\n",
    "\n",
    "import cv2\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "refPt=[]\n",
    "\n",
    "\n",
    "def click(event, x, y, flags, param):\n",
    "        if event == cv2.EVENT_LBUTTONDOWN:\n",
    "                refPt.append((x,y))\n",
    "\n",
    "\n",
    "img=cv2.imread(\"image_gray.jpg\")\n",
    "\n",
    "while(1):\n",
    "    cv2.namedWindow('image')\n",
    "    cv2.setMouseCallback('image',click)\n",
    "    cv2.imshow('image',img)\n",
    "    if cv2.waitKey(20) & 0xFF == 27:\n",
    "        break\n",
    "        \n",
    "print refPt\n",
    "cv2.destroyAllWindows()\n",
    "\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "404 90\n",
      "191 66\n",
      "46 92\n",
      "179 30\n",
      "313 224\n",
      "493 333\n",
      "287 298\n",
      "373 376\n",
      "154 371\n",
      "94 316\n",
      "[(404, 90), (191, 66), (46, 92), (179, 30), (313, 224), (493, 333), (287, 298), (373, 376), (154, 371), (94, 316)]\n"
     ]
    }
   ],
   "source": [
    "import cv2\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "array=[]\n",
    "def click(event, x, y, flags, param):\n",
    "       if event == cv2.EVENT_LBUTTONDOWN:\n",
    "            print x,y\n",
    "            array.append((x,y))\n",
    "      \n",
    "    \n",
    "img=cv2.imread(\"image_gray.jpg\")\n",
    "cv2.namedWindow('image')\n",
    "cv2.imshow('image',img)\n",
    "\n",
    "\n",
    "while(1):\n",
    "    cv2.setMouseCallback('image',click)\n",
    "    if cv2.waitKey(20) & 0xFF == 27:\n",
    "        break\n",
    "    \n",
    "print array\n",
    "cv2.destroyAllWindows()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(288, 37)\n",
      "[array([[139, 123,  77, 127,  96, 104, 123, 100,  93, 160,  89,  98, 108,\n",
      "        112,  66, 133, 160, 108,  58, 128, 150],\n",
      "       [126, 121,  93, 141,  93,  94,  86,  79, 100, 151, 119, 137,  86,\n",
      "        129, 117, 144, 111, 114, 104, 135, 143],\n",
      "       [ 99, 111, 107, 125,  94, 125,  93,  89, 116, 123, 138, 150,  81,\n",
      "        138, 127, 130, 107, 145, 112, 111, 123],\n",
      "       [ 75, 101, 116, 115,  99, 149, 109, 116, 142,  92, 129, 122, 102,\n",
      "        141, 125, 110, 120, 156, 122, 105, 119],\n",
      "       [ 66,  94, 117, 121, 109, 138,  99, 119, 149,  83, 127,  86, 133,\n",
      "        139, 140, 102, 117, 129, 152, 111, 125],\n",
      "       [ 68,  83, 109,  96, 125, 142, 112, 107, 121,  91, 148,  69, 157,\n",
      "        118, 116,  98, 144, 118, 125, 106, 127],\n",
      "       [ 86,  81, 107,  80, 134, 126, 120, 102,  99, 105, 148,  85, 146,\n",
      "         85,  92, 111, 166, 128,  95, 124, 142],\n",
      "       [111,  90, 117, 106, 133,  69,  88,  99, 105, 118, 118, 115, 111,\n",
      "         65, 118, 141, 142, 127, 124, 152, 158],\n",
      "       [120, 110,  88, 135, 134,  75,  98, 106, 124,  77,  97,  99, 134,\n",
      "         79,  86, 154, 147, 109, 103, 138, 146],\n",
      "       [118, 154, 134,  76, 119,  80, 109,  86, 112,  60,  87, 129, 137,\n",
      "        151, 131, 147, 139, 108, 125, 152, 175],\n",
      "       [112, 161, 143,  44, 108, 109, 105, 107, 119,  93, 102, 130,  95,\n",
      "        158, 128, 127, 125,  97, 117, 167, 123],\n",
      "       [125, 163, 151,  54, 101, 139,  78, 149, 130, 144, 118, 120,  91,\n",
      "        145, 123, 131, 114, 107, 136, 121, 138],\n",
      "       [110, 153, 146,  60, 106, 145,  74, 149, 123, 139, 107, 100, 126,\n",
      "        132, 126, 132,  86, 121, 168, 119, 106],\n",
      "       [ 85, 139, 139,  62, 131, 147, 118, 127, 120, 101,  97,  84, 133,\n",
      "         82, 110, 118,  77, 135, 165,  99, 118],\n",
      "       [113, 129, 153,  76, 144, 148, 146, 128, 124,  91, 110, 102, 132,\n",
      "         63, 117, 100,  92, 154, 153, 112, 100],\n",
      "       [143,  87, 129,  87, 131, 140, 131, 141, 121, 104, 122, 116, 136,\n",
      "         89, 142,  65,  76, 148, 142, 129,  93],\n",
      "       [130,  75,  88,  95, 107, 160, 120, 134, 111,  87, 139, 147, 117,\n",
      "         97, 119,  61, 146, 140, 161, 103,  63],\n",
      "       [116, 100,  87, 119, 122, 150, 147, 160,  81, 131, 186,  95,  92,\n",
      "        100, 103,  88, 130, 143, 121,  82,  51],\n",
      "       [ 79,  99,  76, 118, 127, 149, 105, 124,  96, 151, 136, 112, 124,\n",
      "        114, 101,  96, 138, 161, 135,  36,  56],\n",
      "       [ 83,  86,  54, 122,  71, 124, 101,  93,  90,  92, 116, 141, 145,\n",
      "        106, 100,  71, 137, 125, 143,  38,  86],\n",
      "       [119,  90,  51,  96,  75, 126, 127,  65,  94,  94, 140, 127, 118,\n",
      "        109, 111,  96, 128,  72, 118,  41,  85]], dtype=uint8)]\n",
      "(81, 37)\n",
      "[array([[139, 123,  77, 127,  96, 104, 123, 100,  93, 160,  89,  98, 108,\n",
      "        112,  66, 133, 160, 108,  58, 128, 150],\n",
      "       [126, 121,  93, 141,  93,  94,  86,  79, 100, 151, 119, 137,  86,\n",
      "        129, 117, 144, 111, 114, 104, 135, 143],\n",
      "       [ 99, 111, 107, 125,  94, 125,  93,  89, 116, 123, 138, 150,  81,\n",
      "        138, 127, 130, 107, 145, 112, 111, 123],\n",
      "       [ 75, 101, 116, 115,  99, 149, 109, 116, 142,  92, 129, 122, 102,\n",
      "        141, 125, 110, 120, 156, 122, 105, 119],\n",
      "       [ 66,  94, 117, 121, 109, 138,  99, 119, 149,  83, 127,  86, 133,\n",
      "        139, 140, 102, 117, 129, 152, 111, 125],\n",
      "       [ 68,  83, 109,  96, 125, 142, 112, 107, 121,  91, 148,  69, 157,\n",
      "        118, 116,  98, 144, 118, 125, 106, 127],\n",
      "       [ 86,  81, 107,  80, 134, 126, 120, 102,  99, 105, 148,  85, 146,\n",
      "         85,  92, 111, 166, 128,  95, 124, 142],\n",
      "       [111,  90, 117, 106, 133,  69,  88,  99, 105, 118, 118, 115, 111,\n",
      "         65, 118, 141, 142, 127, 124, 152, 158],\n",
      "       [120, 110,  88, 135, 134,  75,  98, 106, 124,  77,  97,  99, 134,\n",
      "         79,  86, 154, 147, 109, 103, 138, 146],\n",
      "       [118, 154, 134,  76, 119,  80, 109,  86, 112,  60,  87, 129, 137,\n",
      "        151, 131, 147, 139, 108, 125, 152, 175],\n",
      "       [112, 161, 143,  44, 108, 109, 105, 107, 119,  93, 102, 130,  95,\n",
      "        158, 128, 127, 125,  97, 117, 167, 123],\n",
      "       [125, 163, 151,  54, 101, 139,  78, 149, 130, 144, 118, 120,  91,\n",
      "        145, 123, 131, 114, 107, 136, 121, 138],\n",
      "       [110, 153, 146,  60, 106, 145,  74, 149, 123, 139, 107, 100, 126,\n",
      "        132, 126, 132,  86, 121, 168, 119, 106],\n",
      "       [ 85, 139, 139,  62, 131, 147, 118, 127, 120, 101,  97,  84, 133,\n",
      "         82, 110, 118,  77, 135, 165,  99, 118],\n",
      "       [113, 129, 153,  76, 144, 148, 146, 128, 124,  91, 110, 102, 132,\n",
      "         63, 117, 100,  92, 154, 153, 112, 100],\n",
      "       [143,  87, 129,  87, 131, 140, 131, 141, 121, 104, 122, 116, 136,\n",
      "         89, 142,  65,  76, 148, 142, 129,  93],\n",
      "       [130,  75,  88,  95, 107, 160, 120, 134, 111,  87, 139, 147, 117,\n",
      "         97, 119,  61, 146, 140, 161, 103,  63],\n",
      "       [116, 100,  87, 119, 122, 150, 147, 160,  81, 131, 186,  95,  92,\n",
      "        100, 103,  88, 130, 143, 121,  82,  51],\n",
      "       [ 79,  99,  76, 118, 127, 149, 105, 124,  96, 151, 136, 112, 124,\n",
      "        114, 101,  96, 138, 161, 135,  36,  56],\n",
      "       [ 83,  86,  54, 122,  71, 124, 101,  93,  90,  92, 116, 141, 145,\n",
      "        106, 100,  71, 137, 125, 143,  38,  86],\n",
      "       [119,  90,  51,  96,  75, 126, 127,  65,  94,  94, 140, 127, 118,\n",
      "        109, 111,  96, 128,  72, 118,  41,  85]], dtype=uint8), array([[156, 157, 157, 155, 155, 155, 154, 154, 154, 154, 153, 152, 152,\n",
      "        152, 152, 152, 152, 152, 152, 151, 151],\n",
      "       [157, 157, 157, 155, 155, 155, 154, 154, 154, 154, 153, 152, 152,\n",
      "        152, 152, 152, 152, 152, 152, 151, 151],\n",
      "       [157, 158, 158, 155, 155, 155, 154, 154, 154, 154, 153, 153, 153,\n",
      "        153, 153, 153, 153, 153, 153, 152, 152],\n",
      "       [158, 158, 158, 155, 155, 155, 154, 154, 154, 154, 153, 153, 153,\n",
      "        153, 153, 153, 153, 153, 153, 152, 152],\n",
      "       [158, 158, 159, 155, 155, 155, 154, 154, 154, 154, 153, 154, 154,\n",
      "        154, 154, 154, 154, 154, 154, 152, 152],\n",
      "       [158, 159, 159, 155, 155, 155, 154, 154, 154, 154, 153, 154, 154,\n",
      "        154, 154, 154, 154, 154, 154, 153, 153],\n",
      "       [159, 159, 159, 155, 155, 155, 154, 154, 154, 154, 153, 154, 154,\n",
      "        154, 154, 154, 154, 154, 154, 153, 153],\n",
      "       [158, 158, 157, 157, 157, 156, 156, 155, 155, 155, 154, 154, 154,\n",
      "        154, 154, 154, 154, 154, 154, 153, 153],\n",
      "       [158, 158, 157, 157, 157, 156, 156, 155, 155, 155, 155, 154, 154,\n",
      "        154, 154, 154, 154, 154, 154, 153, 153],\n",
      "       [158, 158, 157, 157, 157, 157, 156, 156, 155, 155, 155, 155, 155,\n",
      "        155, 155, 155, 155, 155, 155, 154, 154],\n",
      "       [158, 158, 157, 158, 158, 157, 157, 156, 156, 155, 155, 155, 155,\n",
      "        155, 155, 155, 155, 155, 155, 154, 154],\n",
      "       [158, 158, 157, 158, 158, 158, 157, 157, 156, 156, 156, 156, 156,\n",
      "        156, 156, 156, 156, 156, 156, 155, 155],\n",
      "       [158, 158, 157, 159, 158, 158, 158, 157, 157, 156, 156, 156, 156,\n",
      "        156, 156, 156, 156, 156, 156, 155, 155],\n",
      "       [158, 158, 157, 159, 159, 158, 158, 158, 157, 157, 157, 157, 157,\n",
      "        157, 157, 157, 157, 157, 157, 155, 155],\n",
      "       [158, 158, 157, 159, 159, 159, 158, 158, 157, 157, 157, 157, 157,\n",
      "        157, 157, 157, 157, 157, 157, 155, 155],\n",
      "       [160, 160, 160, 159, 159, 159, 158, 158, 157, 157, 157, 157, 157,\n",
      "        157, 157, 157, 157, 157, 157, 158, 158],\n",
      "       [159, 159, 159, 159, 159, 159, 158, 158, 158, 157, 157, 157, 157,\n",
      "        157, 157, 157, 157, 157, 157, 158, 158],\n",
      "       [159, 159, 158, 160, 160, 159, 159, 158, 158, 158, 157, 157, 157,\n",
      "        157, 157, 157, 157, 157, 157, 159, 158],\n",
      "       [160, 159, 158, 160, 160, 160, 159, 159, 158, 158, 158, 158, 158,\n",
      "        158, 158, 158, 158, 158, 158, 159, 159],\n",
      "       [161, 160, 159, 161, 161, 160, 160, 159, 159, 158, 158, 158, 158,\n",
      "        158, 158, 158, 158, 158, 158, 159, 159],\n",
      "       [162, 161, 161, 161, 161, 161, 160, 160, 159, 159, 159, 159, 159,\n",
      "        159, 159, 159, 159, 159, 159, 160, 160]], dtype=uint8)]\n",
      "(151, 127)\n",
      "[array([[139, 123,  77, 127,  96, 104, 123, 100,  93, 160,  89,  98, 108,\n",
      "        112,  66, 133, 160, 108,  58, 128, 150],\n",
      "       [126, 121,  93, 141,  93,  94,  86,  79, 100, 151, 119, 137,  86,\n",
      "        129, 117, 144, 111, 114, 104, 135, 143],\n",
      "       [ 99, 111, 107, 125,  94, 125,  93,  89, 116, 123, 138, 150,  81,\n",
      "        138, 127, 130, 107, 145, 112, 111, 123],\n",
      "       [ 75, 101, 116, 115,  99, 149, 109, 116, 142,  92, 129, 122, 102,\n",
      "        141, 125, 110, 120, 156, 122, 105, 119],\n",
      "       [ 66,  94, 117, 121, 109, 138,  99, 119, 149,  83, 127,  86, 133,\n",
      "        139, 140, 102, 117, 129, 152, 111, 125],\n",
      "       [ 68,  83, 109,  96, 125, 142, 112, 107, 121,  91, 148,  69, 157,\n",
      "        118, 116,  98, 144, 118, 125, 106, 127],\n",
      "       [ 86,  81, 107,  80, 134, 126, 120, 102,  99, 105, 148,  85, 146,\n",
      "         85,  92, 111, 166, 128,  95, 124, 142],\n",
      "       [111,  90, 117, 106, 133,  69,  88,  99, 105, 118, 118, 115, 111,\n",
      "         65, 118, 141, 142, 127, 124, 152, 158],\n",
      "       [120, 110,  88, 135, 134,  75,  98, 106, 124,  77,  97,  99, 134,\n",
      "         79,  86, 154, 147, 109, 103, 138, 146],\n",
      "       [118, 154, 134,  76, 119,  80, 109,  86, 112,  60,  87, 129, 137,\n",
      "        151, 131, 147, 139, 108, 125, 152, 175],\n",
      "       [112, 161, 143,  44, 108, 109, 105, 107, 119,  93, 102, 130,  95,\n",
      "        158, 128, 127, 125,  97, 117, 167, 123],\n",
      "       [125, 163, 151,  54, 101, 139,  78, 149, 130, 144, 118, 120,  91,\n",
      "        145, 123, 131, 114, 107, 136, 121, 138],\n",
      "       [110, 153, 146,  60, 106, 145,  74, 149, 123, 139, 107, 100, 126,\n",
      "        132, 126, 132,  86, 121, 168, 119, 106],\n",
      "       [ 85, 139, 139,  62, 131, 147, 118, 127, 120, 101,  97,  84, 133,\n",
      "         82, 110, 118,  77, 135, 165,  99, 118],\n",
      "       [113, 129, 153,  76, 144, 148, 146, 128, 124,  91, 110, 102, 132,\n",
      "         63, 117, 100,  92, 154, 153, 112, 100],\n",
      "       [143,  87, 129,  87, 131, 140, 131, 141, 121, 104, 122, 116, 136,\n",
      "         89, 142,  65,  76, 148, 142, 129,  93],\n",
      "       [130,  75,  88,  95, 107, 160, 120, 134, 111,  87, 139, 147, 117,\n",
      "         97, 119,  61, 146, 140, 161, 103,  63],\n",
      "       [116, 100,  87, 119, 122, 150, 147, 160,  81, 131, 186,  95,  92,\n",
      "        100, 103,  88, 130, 143, 121,  82,  51],\n",
      "       [ 79,  99,  76, 118, 127, 149, 105, 124,  96, 151, 136, 112, 124,\n",
      "        114, 101,  96, 138, 161, 135,  36,  56],\n",
      "       [ 83,  86,  54, 122,  71, 124, 101,  93,  90,  92, 116, 141, 145,\n",
      "        106, 100,  71, 137, 125, 143,  38,  86],\n",
      "       [119,  90,  51,  96,  75, 126, 127,  65,  94,  94, 140, 127, 118,\n",
      "        109, 111,  96, 128,  72, 118,  41,  85]], dtype=uint8), array([[156, 157, 157, 155, 155, 155, 154, 154, 154, 154, 153, 152, 152,\n",
      "        152, 152, 152, 152, 152, 152, 151, 151],\n",
      "       [157, 157, 157, 155, 155, 155, 154, 154, 154, 154, 153, 152, 152,\n",
      "        152, 152, 152, 152, 152, 152, 151, 151],\n",
      "       [157, 158, 158, 155, 155, 155, 154, 154, 154, 154, 153, 153, 153,\n",
      "        153, 153, 153, 153, 153, 153, 152, 152],\n",
      "       [158, 158, 158, 155, 155, 155, 154, 154, 154, 154, 153, 153, 153,\n",
      "        153, 153, 153, 153, 153, 153, 152, 152],\n",
      "       [158, 158, 159, 155, 155, 155, 154, 154, 154, 154, 153, 154, 154,\n",
      "        154, 154, 154, 154, 154, 154, 152, 152],\n",
      "       [158, 159, 159, 155, 155, 155, 154, 154, 154, 154, 153, 154, 154,\n",
      "        154, 154, 154, 154, 154, 154, 153, 153],\n",
      "       [159, 159, 159, 155, 155, 155, 154, 154, 154, 154, 153, 154, 154,\n",
      "        154, 154, 154, 154, 154, 154, 153, 153],\n",
      "       [158, 158, 157, 157, 157, 156, 156, 155, 155, 155, 154, 154, 154,\n",
      "        154, 154, 154, 154, 154, 154, 153, 153],\n",
      "       [158, 158, 157, 157, 157, 156, 156, 155, 155, 155, 155, 154, 154,\n",
      "        154, 154, 154, 154, 154, 154, 153, 153],\n",
      "       [158, 158, 157, 157, 157, 157, 156, 156, 155, 155, 155, 155, 155,\n",
      "        155, 155, 155, 155, 155, 155, 154, 154],\n",
      "       [158, 158, 157, 158, 158, 157, 157, 156, 156, 155, 155, 155, 155,\n",
      "        155, 155, 155, 155, 155, 155, 154, 154],\n",
      "       [158, 158, 157, 158, 158, 158, 157, 157, 156, 156, 156, 156, 156,\n",
      "        156, 156, 156, 156, 156, 156, 155, 155],\n",
      "       [158, 158, 157, 159, 158, 158, 158, 157, 157, 156, 156, 156, 156,\n",
      "        156, 156, 156, 156, 156, 156, 155, 155],\n",
      "       [158, 158, 157, 159, 159, 158, 158, 158, 157, 157, 157, 157, 157,\n",
      "        157, 157, 157, 157, 157, 157, 155, 155],\n",
      "       [158, 158, 157, 159, 159, 159, 158, 158, 157, 157, 157, 157, 157,\n",
      "        157, 157, 157, 157, 157, 157, 155, 155],\n",
      "       [160, 160, 160, 159, 159, 159, 158, 158, 157, 157, 157, 157, 157,\n",
      "        157, 157, 157, 157, 157, 157, 158, 158],\n",
      "       [159, 159, 159, 159, 159, 159, 158, 158, 158, 157, 157, 157, 157,\n",
      "        157, 157, 157, 157, 157, 157, 158, 158],\n",
      "       [159, 159, 158, 160, 160, 159, 159, 158, 158, 158, 157, 157, 157,\n",
      "        157, 157, 157, 157, 157, 157, 159, 158],\n",
      "       [160, 159, 158, 160, 160, 160, 159, 159, 158, 158, 158, 158, 158,\n",
      "        158, 158, 158, 158, 158, 158, 159, 159],\n",
      "       [161, 160, 159, 161, 161, 160, 160, 159, 159, 158, 158, 158, 158,\n",
      "        158, 158, 158, 158, 158, 158, 159, 159],\n",
      "       [162, 161, 161, 161, 161, 161, 160, 160, 159, 159, 159, 159, 159,\n",
      "        159, 159, 159, 159, 159, 159, 160, 160]], dtype=uint8), array([[251, 231, 241, 246, 241, 239, 242, 240, 233, 238, 230, 223, 216,\n",
      "        208, 208, 224, 244, 246, 238, 219, 213],\n",
      "       [237, 238, 239, 240, 241, 240, 237, 235, 233, 233, 226, 221, 226,\n",
      "        233, 236, 235, 234, 235, 237, 242, 249],\n",
      "       [238, 239, 240, 240, 239, 238, 236, 234, 233, 232, 235, 239, 243,\n",
      "        243, 239, 237, 236, 226, 231, 233, 231],\n",
      "       [239, 240, 240, 239, 238, 237, 236, 236, 235, 232, 239, 244, 242,\n",
      "        235, 232, 234, 237, 230, 225, 218, 211],\n",
      "       [240, 239, 239, 239, 239, 239, 239, 239, 240, 239, 240, 236, 228,\n",
      "        224, 229, 237, 242, 240, 223, 208, 211],\n",
      "       [239, 237, 238, 238, 239, 240, 241, 241, 242, 244, 240, 231, 224,\n",
      "        229, 241, 245, 242, 239, 226, 218, 227],\n",
      "       [237, 235, 236, 238, 240, 240, 239, 238, 236, 229, 227, 221, 220,\n",
      "        233, 245, 239, 223, 230, 229, 229, 231],\n",
      "       [234, 234, 236, 238, 239, 237, 233, 228, 225, 212, 211, 205, 204,\n",
      "        218, 231, 223, 205, 214, 215, 216, 218],\n",
      "       [233, 234, 236, 238, 238, 235, 228, 220, 215, 209, 206, 196, 189,\n",
      "        200, 217, 216, 202, 197, 191, 191, 206],\n",
      "       [234, 234, 237, 240, 240, 234, 224, 213, 205, 206, 199, 192, 197,\n",
      "        216, 230, 220, 201, 214, 210, 206, 208],\n",
      "       [230, 229, 231, 232, 231, 225, 216, 206, 200, 196, 194, 190, 191,\n",
      "        204, 218, 218, 210, 226, 218, 209, 204],\n",
      "       [225, 221, 221, 221, 218, 212, 205, 197, 193, 184, 186, 186, 184,\n",
      "        188, 200, 210, 214, 212, 204, 194, 189],\n",
      "       [222, 214, 213, 210, 206, 201, 196, 191, 188, 179, 181, 180, 178,\n",
      "        178, 185, 196, 203, 194, 188, 182, 180],\n",
      "       [217, 206, 205, 202, 198, 194, 190, 187, 186, 181, 178, 175, 175,\n",
      "        175, 176, 179, 183, 191, 188, 184, 181],\n",
      "       [205, 196, 195, 193, 190, 187, 185, 183, 183, 182, 176, 172, 174,\n",
      "        174, 171, 169, 170, 178, 177, 176, 175],\n",
      "       [188, 184, 184, 183, 182, 181, 179, 178, 177, 178, 173, 171, 173,\n",
      "        171, 166, 167, 173, 167, 168, 170, 170],\n",
      "       [175, 175, 176, 176, 176, 176, 175, 174, 173, 173, 171, 171, 173,\n",
      "        169, 164, 170, 181, 178, 179, 179, 177],\n",
      "       [169, 171, 171, 174, 177, 175, 170, 171, 177, 166, 176, 180, 174,\n",
      "        171, 182, 201, 213, 197, 197, 187, 176],\n",
      "       [170, 171, 169, 171, 174, 173, 169, 172, 178, 178, 184, 186, 183,\n",
      "        185, 194, 204, 209, 209, 204, 194, 183],\n",
      "       [175, 173, 170, 171, 174, 176, 176, 181, 189, 201, 201, 197, 192,\n",
      "        196, 206, 212, 212, 216, 212, 210, 206],\n",
      "       [179, 184, 180, 179, 183, 187, 190, 197, 205, 215, 213, 206, 197,\n",
      "        196, 204, 210, 211, 203, 205, 214, 222]], dtype=uint8)]\n",
      "(238, 172)\n",
      "[array([[139, 123,  77, 127,  96, 104, 123, 100,  93, 160,  89,  98, 108,\n",
      "        112,  66, 133, 160, 108,  58, 128, 150],\n",
      "       [126, 121,  93, 141,  93,  94,  86,  79, 100, 151, 119, 137,  86,\n",
      "        129, 117, 144, 111, 114, 104, 135, 143],\n",
      "       [ 99, 111, 107, 125,  94, 125,  93,  89, 116, 123, 138, 150,  81,\n",
      "        138, 127, 130, 107, 145, 112, 111, 123],\n",
      "       [ 75, 101, 116, 115,  99, 149, 109, 116, 142,  92, 129, 122, 102,\n",
      "        141, 125, 110, 120, 156, 122, 105, 119],\n",
      "       [ 66,  94, 117, 121, 109, 138,  99, 119, 149,  83, 127,  86, 133,\n",
      "        139, 140, 102, 117, 129, 152, 111, 125],\n",
      "       [ 68,  83, 109,  96, 125, 142, 112, 107, 121,  91, 148,  69, 157,\n",
      "        118, 116,  98, 144, 118, 125, 106, 127],\n",
      "       [ 86,  81, 107,  80, 134, 126, 120, 102,  99, 105, 148,  85, 146,\n",
      "         85,  92, 111, 166, 128,  95, 124, 142],\n",
      "       [111,  90, 117, 106, 133,  69,  88,  99, 105, 118, 118, 115, 111,\n",
      "         65, 118, 141, 142, 127, 124, 152, 158],\n",
      "       [120, 110,  88, 135, 134,  75,  98, 106, 124,  77,  97,  99, 134,\n",
      "         79,  86, 154, 147, 109, 103, 138, 146],\n",
      "       [118, 154, 134,  76, 119,  80, 109,  86, 112,  60,  87, 129, 137,\n",
      "        151, 131, 147, 139, 108, 125, 152, 175],\n",
      "       [112, 161, 143,  44, 108, 109, 105, 107, 119,  93, 102, 130,  95,\n",
      "        158, 128, 127, 125,  97, 117, 167, 123],\n",
      "       [125, 163, 151,  54, 101, 139,  78, 149, 130, 144, 118, 120,  91,\n",
      "        145, 123, 131, 114, 107, 136, 121, 138],\n",
      "       [110, 153, 146,  60, 106, 145,  74, 149, 123, 139, 107, 100, 126,\n",
      "        132, 126, 132,  86, 121, 168, 119, 106],\n",
      "       [ 85, 139, 139,  62, 131, 147, 118, 127, 120, 101,  97,  84, 133,\n",
      "         82, 110, 118,  77, 135, 165,  99, 118],\n",
      "       [113, 129, 153,  76, 144, 148, 146, 128, 124,  91, 110, 102, 132,\n",
      "         63, 117, 100,  92, 154, 153, 112, 100],\n",
      "       [143,  87, 129,  87, 131, 140, 131, 141, 121, 104, 122, 116, 136,\n",
      "         89, 142,  65,  76, 148, 142, 129,  93],\n",
      "       [130,  75,  88,  95, 107, 160, 120, 134, 111,  87, 139, 147, 117,\n",
      "         97, 119,  61, 146, 140, 161, 103,  63],\n",
      "       [116, 100,  87, 119, 122, 150, 147, 160,  81, 131, 186,  95,  92,\n",
      "        100, 103,  88, 130, 143, 121,  82,  51],\n",
      "       [ 79,  99,  76, 118, 127, 149, 105, 124,  96, 151, 136, 112, 124,\n",
      "        114, 101,  96, 138, 161, 135,  36,  56],\n",
      "       [ 83,  86,  54, 122,  71, 124, 101,  93,  90,  92, 116, 141, 145,\n",
      "        106, 100,  71, 137, 125, 143,  38,  86],\n",
      "       [119,  90,  51,  96,  75, 126, 127,  65,  94,  94, 140, 127, 118,\n",
      "        109, 111,  96, 128,  72, 118,  41,  85]], dtype=uint8), array([[156, 157, 157, 155, 155, 155, 154, 154, 154, 154, 153, 152, 152,\n",
      "        152, 152, 152, 152, 152, 152, 151, 151],\n",
      "       [157, 157, 157, 155, 155, 155, 154, 154, 154, 154, 153, 152, 152,\n",
      "        152, 152, 152, 152, 152, 152, 151, 151],\n",
      "       [157, 158, 158, 155, 155, 155, 154, 154, 154, 154, 153, 153, 153,\n",
      "        153, 153, 153, 153, 153, 153, 152, 152],\n",
      "       [158, 158, 158, 155, 155, 155, 154, 154, 154, 154, 153, 153, 153,\n",
      "        153, 153, 153, 153, 153, 153, 152, 152],\n",
      "       [158, 158, 159, 155, 155, 155, 154, 154, 154, 154, 153, 154, 154,\n",
      "        154, 154, 154, 154, 154, 154, 152, 152],\n",
      "       [158, 159, 159, 155, 155, 155, 154, 154, 154, 154, 153, 154, 154,\n",
      "        154, 154, 154, 154, 154, 154, 153, 153],\n",
      "       [159, 159, 159, 155, 155, 155, 154, 154, 154, 154, 153, 154, 154,\n",
      "        154, 154, 154, 154, 154, 154, 153, 153],\n",
      "       [158, 158, 157, 157, 157, 156, 156, 155, 155, 155, 154, 154, 154,\n",
      "        154, 154, 154, 154, 154, 154, 153, 153],\n",
      "       [158, 158, 157, 157, 157, 156, 156, 155, 155, 155, 155, 154, 154,\n",
      "        154, 154, 154, 154, 154, 154, 153, 153],\n",
      "       [158, 158, 157, 157, 157, 157, 156, 156, 155, 155, 155, 155, 155,\n",
      "        155, 155, 155, 155, 155, 155, 154, 154],\n",
      "       [158, 158, 157, 158, 158, 157, 157, 156, 156, 155, 155, 155, 155,\n",
      "        155, 155, 155, 155, 155, 155, 154, 154],\n",
      "       [158, 158, 157, 158, 158, 158, 157, 157, 156, 156, 156, 156, 156,\n",
      "        156, 156, 156, 156, 156, 156, 155, 155],\n",
      "       [158, 158, 157, 159, 158, 158, 158, 157, 157, 156, 156, 156, 156,\n",
      "        156, 156, 156, 156, 156, 156, 155, 155],\n",
      "       [158, 158, 157, 159, 159, 158, 158, 158, 157, 157, 157, 157, 157,\n",
      "        157, 157, 157, 157, 157, 157, 155, 155],\n",
      "       [158, 158, 157, 159, 159, 159, 158, 158, 157, 157, 157, 157, 157,\n",
      "        157, 157, 157, 157, 157, 157, 155, 155],\n",
      "       [160, 160, 160, 159, 159, 159, 158, 158, 157, 157, 157, 157, 157,\n",
      "        157, 157, 157, 157, 157, 157, 158, 158],\n",
      "       [159, 159, 159, 159, 159, 159, 158, 158, 158, 157, 157, 157, 157,\n",
      "        157, 157, 157, 157, 157, 157, 158, 158],\n",
      "       [159, 159, 158, 160, 160, 159, 159, 158, 158, 158, 157, 157, 157,\n",
      "        157, 157, 157, 157, 157, 157, 159, 158],\n",
      "       [160, 159, 158, 160, 160, 160, 159, 159, 158, 158, 158, 158, 158,\n",
      "        158, 158, 158, 158, 158, 158, 159, 159],\n",
      "       [161, 160, 159, 161, 161, 160, 160, 159, 159, 158, 158, 158, 158,\n",
      "        158, 158, 158, 158, 158, 158, 159, 159],\n",
      "       [162, 161, 161, 161, 161, 161, 160, 160, 159, 159, 159, 159, 159,\n",
      "        159, 159, 159, 159, 159, 159, 160, 160]], dtype=uint8), array([[251, 231, 241, 246, 241, 239, 242, 240, 233, 238, 230, 223, 216,\n",
      "        208, 208, 224, 244, 246, 238, 219, 213],\n",
      "       [237, 238, 239, 240, 241, 240, 237, 235, 233, 233, 226, 221, 226,\n",
      "        233, 236, 235, 234, 235, 237, 242, 249],\n",
      "       [238, 239, 240, 240, 239, 238, 236, 234, 233, 232, 235, 239, 243,\n",
      "        243, 239, 237, 236, 226, 231, 233, 231],\n",
      "       [239, 240, 240, 239, 238, 237, 236, 236, 235, 232, 239, 244, 242,\n",
      "        235, 232, 234, 237, 230, 225, 218, 211],\n",
      "       [240, 239, 239, 239, 239, 239, 239, 239, 240, 239, 240, 236, 228,\n",
      "        224, 229, 237, 242, 240, 223, 208, 211],\n",
      "       [239, 237, 238, 238, 239, 240, 241, 241, 242, 244, 240, 231, 224,\n",
      "        229, 241, 245, 242, 239, 226, 218, 227],\n",
      "       [237, 235, 236, 238, 240, 240, 239, 238, 236, 229, 227, 221, 220,\n",
      "        233, 245, 239, 223, 230, 229, 229, 231],\n",
      "       [234, 234, 236, 238, 239, 237, 233, 228, 225, 212, 211, 205, 204,\n",
      "        218, 231, 223, 205, 214, 215, 216, 218],\n",
      "       [233, 234, 236, 238, 238, 235, 228, 220, 215, 209, 206, 196, 189,\n",
      "        200, 217, 216, 202, 197, 191, 191, 206],\n",
      "       [234, 234, 237, 240, 240, 234, 224, 213, 205, 206, 199, 192, 197,\n",
      "        216, 230, 220, 201, 214, 210, 206, 208],\n",
      "       [230, 229, 231, 232, 231, 225, 216, 206, 200, 196, 194, 190, 191,\n",
      "        204, 218, 218, 210, 226, 218, 209, 204],\n",
      "       [225, 221, 221, 221, 218, 212, 205, 197, 193, 184, 186, 186, 184,\n",
      "        188, 200, 210, 214, 212, 204, 194, 189],\n",
      "       [222, 214, 213, 210, 206, 201, 196, 191, 188, 179, 181, 180, 178,\n",
      "        178, 185, 196, 203, 194, 188, 182, 180],\n",
      "       [217, 206, 205, 202, 198, 194, 190, 187, 186, 181, 178, 175, 175,\n",
      "        175, 176, 179, 183, 191, 188, 184, 181],\n",
      "       [205, 196, 195, 193, 190, 187, 185, 183, 183, 182, 176, 172, 174,\n",
      "        174, 171, 169, 170, 178, 177, 176, 175],\n",
      "       [188, 184, 184, 183, 182, 181, 179, 178, 177, 178, 173, 171, 173,\n",
      "        171, 166, 167, 173, 167, 168, 170, 170],\n",
      "       [175, 175, 176, 176, 176, 176, 175, 174, 173, 173, 171, 171, 173,\n",
      "        169, 164, 170, 181, 178, 179, 179, 177],\n",
      "       [169, 171, 171, 174, 177, 175, 170, 171, 177, 166, 176, 180, 174,\n",
      "        171, 182, 201, 213, 197, 197, 187, 176],\n",
      "       [170, 171, 169, 171, 174, 173, 169, 172, 178, 178, 184, 186, 183,\n",
      "        185, 194, 204, 209, 209, 204, 194, 183],\n",
      "       [175, 173, 170, 171, 174, 176, 176, 181, 189, 201, 201, 197, 192,\n",
      "        196, 206, 212, 212, 216, 212, 210, 206],\n",
      "       [179, 184, 180, 179, 183, 187, 190, 197, 205, 215, 213, 206, 197,\n",
      "        196, 204, 210, 211, 203, 205, 214, 222]], dtype=uint8), array([[237, 237, 237, 237, 238, 238, 238, 238, 238, 238, 238, 238, 239,\n",
      "        239, 239, 239, 239, 239, 239, 239, 239],\n",
      "       [237, 237, 237, 237, 238, 238, 238, 238, 238, 238, 238, 238, 239,\n",
      "        239, 239, 239, 239, 239, 239, 239, 239],\n",
      "       [237, 237, 237, 237, 238, 238, 238, 238, 238, 238, 238, 238, 238,\n",
      "        238, 238, 238, 238, 238, 238, 238, 238],\n",
      "       [238, 238, 238, 238, 237, 237, 237, 237, 237, 237, 237, 237, 237,\n",
      "        237, 237, 237, 237, 237, 237, 237, 237],\n",
      "       [238, 238, 238, 238, 237, 237, 237, 237, 237, 237, 237, 237, 236,\n",
      "        236, 236, 236, 236, 236, 236, 236, 237],\n",
      "       [240, 240, 240, 240, 239, 239, 239, 239, 239, 239, 239, 239, 237,\n",
      "        237, 237, 237, 237, 237, 237, 237, 237],\n",
      "       [243, 243, 243, 243, 242, 242, 242, 242, 242, 242, 242, 242, 241,\n",
      "        241, 241, 241, 241, 241, 241, 241, 239],\n",
      "       [245, 245, 245, 245, 244, 244, 244, 244, 244, 244, 244, 244, 244,\n",
      "        244, 244, 244, 244, 244, 244, 244, 242],\n",
      "       [243, 243, 243, 243, 244, 244, 244, 244, 244, 244, 244, 244, 245,\n",
      "        245, 245, 245, 245, 245, 245, 245, 246],\n",
      "       [242, 242, 242, 242, 243, 243, 243, 243, 243, 243, 243, 243, 246,\n",
      "        246, 246, 246, 246, 246, 246, 246, 248],\n",
      "       [242, 242, 241, 241, 242, 243, 243, 244, 244, 245, 245, 246, 248,\n",
      "        247, 247, 246, 245, 245, 244, 244, 242],\n",
      "       [242, 242, 242, 243, 245, 245, 244, 244, 243, 242, 242, 241, 237,\n",
      "        238, 240, 242, 244, 246, 247, 248, 244],\n",
      "       [246, 246, 246, 246, 241, 241, 242, 243, 244, 245, 246, 247, 250,\n",
      "        249, 247, 245, 243, 241, 240, 239, 247],\n",
      "       [241, 240, 240, 239, 244, 244, 244, 245, 245, 245, 246, 246, 239,\n",
      "        240, 241, 243, 245, 247, 248, 249, 242],\n",
      "       [249, 249, 249, 249, 252, 251, 249, 246, 243, 241, 239, 238, 249,\n",
      "        249, 248, 248, 247, 246, 246, 246, 247],\n",
      "       [249, 252, 253, 254, 252, 252, 253, 254, 254, 255, 255, 255, 254,\n",
      "        253, 252, 251, 249, 248, 247, 246, 243],\n",
      "       [147, 149, 150, 151, 161, 163, 166, 169, 173, 177, 180, 181, 190,\n",
      "        193, 199, 207, 215, 223, 229, 232, 248],\n",
      "       [148, 147, 147, 147, 147, 147, 147, 147, 147, 146, 146, 146, 148,\n",
      "        148, 147, 147, 147, 147, 146, 146, 141],\n",
      "       [149, 155, 157, 155, 157, 157, 158, 159, 159, 159, 160, 160, 158,\n",
      "        157, 156, 157, 159, 160, 159, 158, 154],\n",
      "       [140, 142, 142, 138, 139, 139, 139, 139, 139, 140, 141, 141, 151,\n",
      "        148, 145, 147, 152, 154, 151, 147, 159],\n",
      "       [142, 144, 143, 138, 146, 145, 144, 143, 144, 145, 147, 149, 148,\n",
      "        143, 140, 142, 148, 150, 147, 142, 142]], dtype=uint8)]\n",
      "hereeeeeeeeeeeeeeeeeeeee\n",
      "[28.348214285714281, 1.0238095238095237, 11.711309523809524, 3.1279761904761898, 46.491071428571423, 7.5029761904761898, 1.4285714285714284, 0.66071428571428581]\n",
      "hereeeeeeeeeeeeeeeeeeeee\n",
      "[0.041050753175473638, 0.78441287451278008, 0.82825886431010576, 0.98588942885055419, -0.034188492398725095, 0.79053620714813, 0.92675176025872852, 0.96566053586966338]\n"
     ]
    },
    {
     "data": {
      "image/png": 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BLqAYhkXHLErhjDfmtWSaUemhTfU4450pITOO+ckI6eDVL42mxZMTxyIW/fnP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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f5e52777e50>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "\n",
    "from skimage.feature import greycomatrix, greycoprops\n",
    "from skimage import data\n",
    "\n",
    "import cv2\n",
    "\n",
    "\n",
    "\n",
    "PATCH_SIZE = 21\n",
    "\n",
    "# open the camera image\n",
    "image = cv2.imread(\"image_gray.jpg\",0)\n",
    "\n",
    "# select some patches from grassy areas of the image\n",
    "#grass_locations = [(474, 291), (440, 433), (466, 18), (462, 236)]\n",
    "grass_locations=[(288, 37), (81, 37), (151, 127), (238, 172)]\n",
    "grass_patches=[]\n",
    "for loc in grass_locations:\n",
    "    print loc\n",
    "    grass_patches.append(image[loc[0]:loc[0] + PATCH_SIZE,\n",
    "                               loc[1]:loc[1] + PATCH_SIZE])\n",
    "    print grass_patches\n",
    "    \n",
    "\n",
    "# select some patches from sky areas of the image\n",
    "#sky_locations = [(54, 48), (21, 233), (90, 380), (195, 330)]\n",
    "sky_locations=[(400, 366), (225, 320), (163, 365), (111, 300)]\n",
    "sky_patches=[]\n",
    "for loc in sky_locations:\n",
    "    sky_patches.append(image[loc[0]:loc[0] + PATCH_SIZE,\n",
    "                             loc[1]:loc[1] + PATCH_SIZE])\n",
    "\n",
    "# compute some GLCM properties each patch\n",
    "xs = []\n",
    "ys = []\n",
    "for patch in (grass_patches + sky_patches):\n",
    "    glcm = greycomatrix(patch, [5], [0], 256, symmetric=True, normed=True)\n",
    "    xs.append(greycoprops(glcm, 'dissimilarity')[0, 0])\n",
    "    ys.append(greycoprops(glcm, 'correlation')[0, 0])\n",
    "    \n",
    "print \"hereeeeeeeeeeeeeeeeeeeee\\n\",xs \n",
    "print \"hereeeeeeeeeeeeeeeeeeeee\\n\",ys \n",
    "\n",
    "# create the figure\n",
    "fig = plt.figure(figsize=(8, 8))\n",
    "\n",
    "# display original image with locations of patches\n",
    "ax = fig.add_subplot(3, 2, 1)\n",
    "ax.imshow(image, cmap=plt.cm.gray, interpolation='nearest',\n",
    "          vmin=0, vmax=255)\n",
    "for (y, x) in grass_locations:\n",
    "    ax.plot(x + PATCH_SIZE / 2, y + PATCH_SIZE / 2, 'gs')\n",
    "for (y, x) in sky_locations:\n",
    "    ax.plot(x + PATCH_SIZE / 2, y + PATCH_SIZE / 2, 'bs')\n",
    "ax.set_xlabel('Original Image')\n",
    "ax.set_xticks([])\n",
    "ax.set_yticks([])\n",
    "ax.axis('image')\n",
    "\n",
    "# for each patch, plot (dissimilarity, correlation)\n",
    "ax = fig.add_subplot(3, 2, 2)\n",
    "ax.plot(xs[:len(grass_patches)], ys[:len(grass_patches)], 'go',\n",
    "        label='Grass')\n",
    "ax.plot(xs[len(grass_patches):], ys[len(grass_patches):], 'bo',\n",
    "        label='Sky')\n",
    "ax.set_xlabel('GLCM Dissimilarity')\n",
    "ax.set_ylabel('GLCM Correlation')\n",
    "ax.legend()\n",
    "\n",
    "# display the image patches\n",
    "for i, patch in enumerate(grass_patches):\n",
    "    ax = fig.add_subplot(3, len(grass_patches), len(grass_patches)*1 + i + 1)\n",
    "    ax.imshow(patch, cmap=plt.cm.gray, interpolation='nearest',\n",
    "              vmin=0, vmax=255)\n",
    "    ax.set_xlabel('Grass %d' % (i + 1))\n",
    "\n",
    "for i, patch in enumerate(sky_patches):\n",
    "    ax = fig.add_subplot(3, len(sky_patches), len(sky_patches)*2 + i + 1)\n",
    "    ax.imshow(patch, cmap=plt.cm.gray, interpolation='nearest',\n",
    "              vmin=0, vmax=255)\n",
    "    ax.set_xlabel('Sky %d' % (i + 1))\n",
    "\n",
    "\n",
    "# display the patches and plot\n",
    "fig.suptitle('Grey level co-occurrence matrix features', fontsize=14)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[(1, 3)]"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "(a,b)=(1,3)\n",
    "asd=[]\n",
    "asd.append((a,b))\n",
    "asd"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.13"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}