Untitled10.ipynb

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 "worksheets": [
  {
   "cells": [
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "import cv2\n",
      "from cv import CV_RETR_EXTERNAL, CV_CHAIN_APPROX_NONE\n",
      "image = cv2.imread(\"../shoes/usain_bolt.jpg\")\n",
      "gray_image = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)\n",
      "edges = cv2.Canny(gray_image,10,200)\n",
      "contours, hier = cv2.findContours(edges, CV_RETR_EXTERNAL, CV_CHAIN_APPROX_NONE) \n",
      "cv2.drawContours(image,contours,-1,(0,255,0),-1)\n",
      "cv2.imshow('hi',image)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 1
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "import cv2\n",
      "from cv import CV_RETR_EXTERNAL, CV_CHAIN_APPROX_NONE\n",
      "img = cv2.imread('../shoes/puma1.jpeg',0)\n"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 3
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "edges = cv2.Canny(img,50,200)\n",
      "contours, hier = cv2.findContours(edges, CV_RETR_EXTERNAL, CV_CHAIN_APPROX_NONE) \n",
      "cv2.drawContours(img,contours,-1,(0,255,0),-1)\n"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 4
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "cv2.imshow('hi',edges)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 3
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "cv2.imshow('hi',img)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 5
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "dist = cv2.pointPolygonTest(contours,(50,50),True)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "ename": "TypeError",
       "evalue": "contour is not a numpy array, neither a scalar",
       "output_type": "pyerr",
       "traceback": [
        "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m\n\u001b[0;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
        "\u001b[0;32m<ipython-input-7-68a624f05207>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mdist\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcv2\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpointPolygonTest\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcontours\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m50\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m50\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mTrue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
        "\u001b[0;31mTypeError\u001b[0m: contour is not a numpy array, neither a scalar"
       ]
      }
     ],
     "prompt_number": 7
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "import numpy as np\n",
      "import cv2\n",
      "from matplotlib import pyplot as plt\n",
      "\n",
      "img = cv2.imread('../shoes.jpg')\n",
      "gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)\n",
      "ret, thresh = cv2.threshold(gray,0,255,cv2.THRESH_BINARY_INV+cv2.THRESH_OTSU)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 1
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "cv2.imshow('hi', thresh)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 7
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "len(img)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 6,
       "text": [
        "543"
       ]
      }
     ],
     "prompt_number": 6
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [],
     "language": "python",
     "metadata": {},
     "outputs": []
    }
   ],
   "metadata": {}
  }
 ]
}