GO_02.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import cv2\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "blank_img = np.zeros(shape=(512,512,3),dtype=np.int16)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x24dcf264160>"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.imshow(blank_img)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[[0, 0, 0],\n",
       "        [0, 0, 0],\n",
       "        [0, 0, 0],\n",
       "        ...,\n",
       "        [0, 0, 0],\n",
       "        [0, 0, 0],\n",
       "        [0, 0, 0]],\n",
       "\n",
       "       [[0, 0, 0],\n",
       "        [0, 0, 0],\n",
       "        [0, 0, 0],\n",
       "        ...,\n",
       "        [0, 0, 0],\n",
       "        [0, 0, 0],\n",
       "        [0, 0, 0]],\n",
       "\n",
       "       [[0, 0, 0],\n",
       "        [0, 0, 0],\n",
       "        [0, 0, 0],\n",
       "        ...,\n",
       "        [0, 0, 0],\n",
       "        [0, 0, 0],\n",
       "        [0, 0, 0]],\n",
       "\n",
       "       ...,\n",
       "\n",
       "       [[0, 0, 0],\n",
       "        [0, 0, 0],\n",
       "        [0, 0, 0],\n",
       "        ...,\n",
       "        [0, 0, 0],\n",
       "        [0, 0, 0],\n",
       "        [0, 0, 0]],\n",
       "\n",
       "       [[0, 0, 0],\n",
       "        [0, 0, 0],\n",
       "        [0, 0, 0],\n",
       "        ...,\n",
       "        [0, 0, 0],\n",
       "        [0, 0, 0],\n",
       "        [0, 0, 0]],\n",
       "\n",
       "       [[0, 0, 0],\n",
       "        [0, 0, 0],\n",
       "        [0, 0, 0],\n",
       "        ...,\n",
       "        [0, 0, 0],\n",
       "        [0, 0, 0],\n",
       "        [0, 0, 0]]], dtype=int16)"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cv2.rectangle(blank_img,pt1=(50,50),pt2=(100,100),color=(0,255,0),thickness=5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x24dcf2bc278>"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.imshow(blank_img)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[[255, 255,   0],\n",
       "        [255, 255,   0],\n",
       "        [255, 255,   0],\n",
       "        ...,\n",
       "        [  0,   0,   0],\n",
       "        [  0,   0,   0],\n",
       "        [  0,   0,   0]],\n",
       "\n",
       "       [[255, 255,   0],\n",
       "        [255, 255,   0],\n",
       "        [255, 255,   0],\n",
       "        ...,\n",
       "        [  0,   0,   0],\n",
       "        [  0,   0,   0],\n",
       "        [  0,   0,   0]],\n",
       "\n",
       "       [[255, 255,   0],\n",
       "        [255, 255,   0],\n",
       "        [255, 255,   0],\n",
       "        ...,\n",
       "        [  0,   0,   0],\n",
       "        [  0,   0,   0],\n",
       "        [  0,   0,   0]],\n",
       "\n",
       "       ...,\n",
       "\n",
       "       [[  0,   0,   0],\n",
       "        [  0,   0,   0],\n",
       "        [  0,   0,   0],\n",
       "        ...,\n",
       "        [255, 255,   0],\n",
       "        [255, 255,   0],\n",
       "        [255, 255,   0]],\n",
       "\n",
       "       [[  0,   0,   0],\n",
       "        [  0,   0,   0],\n",
       "        [  0,   0,   0],\n",
       "        ...,\n",
       "        [255, 255,   0],\n",
       "        [255, 255,   0],\n",
       "        [255, 255,   0]],\n",
       "\n",
       "       [[  0,   0,   0],\n",
       "        [  0,   0,   0],\n",
       "        [  0,   0,   0],\n",
       "        ...,\n",
       "        [255, 255,   0],\n",
       "        [255, 255,   0],\n",
       "        [255, 255,   0]]], dtype=int16)"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cv2.circle(blank_img,center=(100,100),radius=50,color=(255,0,0),thickness=5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x24dd05956a0>"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "cv2.line(blank_img,pt1=(0,0),pt2=(512,512),color=(255,255,0),thickness=5)\n",
    "plt.imshow(blank_img)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x24dd144b9e8>"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAQYAAAD8CAYAAACVSwr3AAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvIxREBQAAExtJREFUeJzt3V2oHPd9xvHvU8my0zqNYls2QpIrm+giuWgdIxIFh+I6SbHdEPnCAYdARBAI+gIJLiRyCy2BXjS9iI1pSSpqU7kksd28IGGSukJ2aG/8IsUvsaM6PimpfZCJCH5JiqGtk18v9r/Sal/Omd2dl//MPB847Ozs7O7v7Nl59vefnZmjiMDMbNSvNV2AmeXHwWBmExwMZjbBwWBmExwMZjbBwWBmEyoJBkk3SnpB0oqkg1U8h5lVR2XvxyBpA/Aj4CPAKvAk8ImI+GGpT2RmlamiY3gfsBIR/xkR/wvcD+yt4HnMrCIbK3jMbcDLI9dXgfevdYfLLlPs3DmYPnmygorMDOBnEbGlyIJVBIOmzJsYr0g6ABwAuPJKOHFiOL+CiswM4L+KLljFUGIV2DFyfTtwenyhiDgUEbsjYveWLaPzK6jIzOZSRTA8CeySdJWkTcBtwNG17nDy5PmdQoQDwqxJpQ8lIuItSX8CPAxsAO6NiOeL3FdyIJjloPSvKxcqQjpbxHg53uZgVpqTEbG7yILZ7fkoeVhh1rTsgmHInYJZc7INhnHuGszqk3UwTBtWmFn1sg6GIYeDWb1aEQzgDZJmdWpNMIA3SJrVpVXBMM5dg1k1WhcM3s/BrHqtC4YhDyvMqtPaYBjnrsGsPK0OBg8rzKrR6mAY8rDCrFydCIZx7hrMllPFqd0aMewahqEwvFy0mYg57uiGxbqmM8EwtOzJXuYJhLP3GX3+xZ/aLBudC4ZxQbGVdZFAmPV8FHxOs1x1MhiGK2WMXU7bSLlWc3He4mu0BdMewwFhbdbJYBgSs1f8WfMXWZHHg2ja8zggrE06+a3ELGc3TE65TSy/8pbxGGY56HwwTD3Zy/gJZ8t+zimPOeVpzbLV+WAYmrZ9oepP+EL/ksssQ70JhokVsqY11EMLa6NeBMPZDBhrEeo6tmLasMIsZ70IhlGimWMrHA7WJp0PhiIrYF3HVjgcrC06HwyjRlfMpk5N720O1gadDobR3ZxnrZA+Nb3ZpE4HQ1F1n+xlNKScRZajzgZDkW5hlE/2YnZOZ4NhWXUOK9w1WG46GQyLHkJd5zkk3aBYzjoZDKMWOlrSa631XOeDoQz+tsL6Zt1gkHSvpDOSnhuZd4mkY5JeTJfvTPMl6W5JK5KelXRtlcVXaWJYQfnbAvzthOWqSMfwj8CNY/MOAscjYhdwPF0HuAnYlX4OAF8up8wlxHI/HlVYH60bDBHxb8CrY7P3AofT9GHglpH598XAY8BmSVvLKjYH/mS3Plh0G8MVEfEKQLq8PM3fBrw8stxqmjdB0gFJJySdWLCG2oyft8H/8cq6ruxzPhY+N0lEHAIOAUiqbjUrcSwgHAjWD4t2DD8dDhHS5Zk0fxXYMbLcduD04uXlzSFhXbVoMBwF9qXpfcCRkfmfSt9O7AHeGA45uqLMnaD8j2osV+sOJSR9HbgeuEzSKvCXwF8DD0raD7wEfDwt/h3gZmAFeBP4dAU1Z2HZ/3hlljNFBu/uKrYx1PFpPP7SzbvHpDsGq9nJiNhdZEHv+biEZYYVzcex2Wy9CIaqV8Jlj61wt2C56WwwNLmyZTA6M1tKZ4NhXB1dQ9HTxHnbguWu08HQxEq3Xji4mbA26HQwjKtrpSy6QdLdguWq88HQ1P9ymLZB0t2CtUXng2GaJlbQiX0eGqjBrKheBMOsf0tf+fOObZD0OR6sLXoRDLPUEQ4BTgJrnV4FQ+Fjwkuw1qngvJ+D5a5XwQCzhxVlrqvTHqvOU9ObLat3wTA0q3tYNCTWuu/4P9M1y13ZZ3BqFbFGuz+23HrLzHr89UQ4LCw/vQ4GKHYK93k7iPXW82EQDIcSw0sHhOWit0OJaaZtf6jy/g4Cy1XvO4Zpiu7zUPZ67WGF5cLBUECV66qHFZYjDyUy4SCwnDgYMuV9HKxJDoaMeCcoy4WDIUMeVljTHAwt4K7B6uZgyJSHFdYkB0PmPKywJjgYWsZdg9XBwdAC85ya3qwMDoYWcThYXRwMLeMNklYHB0MLeYOkVc3B0AHuGqxsDoaW8n4OViUHQ8t5WGFVWDcYJO2Q9KikU5Kel/SZNP8SScckvZgu35nmS9LdklYkPSvp2qp/CTvHXYOVoUjH8BbwpxHxbmAP8MeS3gMcBI5HxC7geLoOcBOwK/0cAL5cetV2Hg8rrGzrBkNEvBIR30/TvwBOAduAvcDhtNhh4JY0vRe4LwYeAzZL2lp65TbBwwory1zbGCTtBN4LPA5cERGvwCA8gMvTYtuAl0futprmWc3cNdiiCp/zUdLFwDeBz0bEzzX746nQf4KTdIDBUMNK5HNIWhkKdQySLmAQCl+NiG+l2T8dDhHS5Zk0fxXYMXL37cDp8ceMiEMRsTsidi9avM3mILBlFPlWQsA9wKmI+NLITUeBfWl6H3BkZP6n0rcTe4A3hkMOa46HFTYPxTrvGEkfBP4d+AHwqzT7zxhsZ3gQuBJ4Cfh4RLyaguRvgRuBN4FPR8SJdZ7Db9sKjf+J3U301smiHfq6wVAHB0P1Rv/MDobeKhwM3vOxhzL4LLDMORh6wjtB2TwcDD3jYYQV4WDoOXcNNo2DoYc8rLD1OBh6zMMKm8XBYGe5a7AhB0PP+dT0No2DwQCHg53PwWBneYOkDTkY7DzeIGngYLB1uGvoJweDTfB+DuZgsJk8rOgvB4MV5q6hPxwMtiYPK/rJwWCFeFjRLw4GW4i7hm5zMFhhHlb0h4PB5uZhRfc5GGxp7hq6x8FgC/GwotscDLYUDyu6ycFgpXLX0A0OBluahxXd42Cw0nhY0R0OBquMu4b2cjBYqXwOyW5wMFglHA7t5mCwyniDZHs5GKxS3iDZTg4Gq5W7hnZwMFjlvJ9D+zgYrDYeVrTHusEg6SJJT0h6RtLzkr6Q5l8l6XFJL0p6QNKmNP/CdH0l3b6z2l/B2spdQ76KdAz/A9wQEb8DXAPcKGkP8EXgzojYBbwG7E/L7wdei4h3AXem5cwADyvaYt1giIH/TlcvSD8B3AB8I80/DNySpvem66TbPyS5ibTz+R2Rt0LbGCRtkPQ0cAY4BvwYeD0i3kqLrALb0vQ24GWAdPsbwKVTHvOApBOSTiz3K1gXuGvIS6FgiIhfRsQ1wHbgfcC7py2WLqd9Fkz82SPiUETsjojdRYu1bvGwIl9zfSsREa8D3wP2AJslbUw3bQdOp+lVYAdAuv0dwKtlFGvd5GFFfop8K7FF0uY0/Tbgw8Ap4FHg1rTYPuBImj6arpNufyTCnwNWnN8tzdu4/iJsBQ5L2sAgSB6MiIck/RC4X9JfAU8B96Tl7wH+SdIKg07htgrqto4Zdg3DUBheuptohnL4MJfUfBGWjdG3pIOhVCeLbtPzno+WtQw+t3rJwWDZ8bcVzXMwWLY8jGiOg8Faw11DfRwMljUPK5rhYLBW8LCiXg4GayV3DdVyMFhr+NT09XEwWOs4HKrnYLBW8gbJajkYrLW8QbI6DgbrDHcN5XEwWKt5P4dqOBisEzysKJeDwTrJXcNyHAzWGR5WlMfBYJ3jYcXyHAzWee4a5udgsE7ysGI5DgbrNA8rFuNgsF5x11CMg8E6z8OK+TkYrDc8rCjOwWC95a5hNgeD9YqHFcU4GKyXPKxYm4PBDHcN4xwM1ls+h+RsDgbrPYfDJAeDGd4gOc7BYJZ4g+Q5DgazGfrcNTgYzEZ4P4eBwsEgaYOkpyQ9lK5fJelxSS9KekDSpjT/wnR9Jd2+s5rSzarT92HFPB3DZ4BTI9e/CNwZEbuA14D9af5+4LWIeBdwZ1rOrNX61jUUCgZJ24E/AP4hXRdwA/CNtMhh4JY0vTddJ93+obS8Wav0eVhRtGO4C/gc8Kt0/VLg9Yh4K11fBbal6W3AywDp9jfS8ueRdEDSCUknFqzdrBZ9/FhbNxgkfRQ4ExEnR2dPWTQK3HZuRsShiNgdEbsLVWqWiT50DRsLLHMd8DFJNwMXAb/JoIPYLGlj6gq2A6fT8qvADmBV0kbgHcCrpVduVqNh1zAMheFlV7uJdTuGiLgjIrZHxE7gNuCRiPgk8Chwa1psH3AkTR9N10m3PxLRh4y1PuhqEIxbZj+GzwO3S1phsA3hnjT/HuDSNP924OByJZrlq6sfecrhw1xS80WYzWl81WlBN3Gy6Da9ItsYGjdveBX9drSqx23CWr/LvHWX+VhdJnW3Y8h+l+hFOpoi96nqcZuwXl3z1F3mY/VNl16a7DuGaZ9Q42/ORT7FqnrcJhT5XZp4rD7o6rcV2XcMZm3Q9iAY52Awq0DbmywHg1lJunRshYPBrGRdGFY4GMwq1sauwcFgVoG2n5rewWBWobaGg4PBrGJt3CDpYDCrQds2SGa/52MXzdqTsC17Wlahb69JRN5h4WCoQdFdikeX6+oKMWqRY1ra/Lq0afdpB0PFpr35Z725R5eNiFavBOsp8rpMW6YLr0sbjsr0NoYKzRMKw9tGb+/qwUtFX5fx12Ot+7dZjr+Og6Ei01rgop90XQ6H8eFSkddl2jJtf11y3326E0OJ3N4kXRoXl2nZv5Okzg23ch1WuGMoWVmh0LWuoYrXpYty+VN3omMo681S9gpY5pu4zZ+OVXZQbX5dhnL8tsIdQ4m68Mluzckp3xwM1jpd2xA5S5O/VieGEjmY9Z1733lD7HxyGVa4YzDLUNP56WBoCX/S9lvdzaeHEhXximzLanJY4Y7BLHNNfMY4GCriDY9WlTreWg6GknjoMF1fvlqsWt3HVjgYrPX6FMp1/aoOBmsddx3nVPVSOBhKVFXb3LUVoWu/T93qODW9gyFzXViJyj5oqqrHbpsqw8HBULJpZ2FadOUe3q8Lb/4yzk7lUJhU1QbJQsEg6SeSfiDpaUkn0rxLJB2T9GK6fGeaL0l3S1qR9Kyka8sptV2WGVaMhkmX3/zzhKZDYbYqXop5Oobfi4hrImJ3un4QOB4Ru4Dj6TrATcCu9HMA+HJZxbbdeivC+O1dfPPPew7Haa9ZF1+XMpXRNSyzS/Re4Po0fRj4HvD5NP++GPw1H5O0WdLWiHhlkSep6hTjizxu0cceX3b8cYo89zzPU+bvUscp3ae9LkU7B4fCdGXvPl20YwjgXyWdlHQgzbtiuLKny8vT/G3AyyP3XU3zziPpgKQTw6FJlxU9EWzRk6N2hV+X8pX1EhXtGK6LiNOSLgeOSfqPNZadVtrEx0FEHAIOAUia+XFR1ZuhiTdZG36XLr0utvh/vCrUMUTE6XR5Bvg28D7gp5K2AqTLM2nxVWDHyN23A6fnL83MFlHG7tPrBoOk35D09uE08PvAc8BRYF9abB9wJE0fBT6Vvp3YA7yx6PYFM1vcMo1YkaHEFcC3U7u3EfhaRPyLpCeBByXtB14CPp6W/w5wM7ACvAl8evHyzKwJymHPOkm/AF5ouo6CLgN+1nQRBbSlTmhPrW2pE6bX+lsRsaXInXM5g9MLI/tHZE3SiTbU2pY6oT21tqVOWL5W7xJtZhMcDGY2IZdgONR0AXNoS61tqRPaU2tb6oQla81i46OZ5SWXjsHMMtJ4MEi6UdIL6TDtg+vfo9Ja7pV0RtJzI/OyPLxc0g5Jj0o6Jel5SZ/JsV5JF0l6QtIzqc4vpPlXSXo81fmApE1p/oXp+kq6fWcddY7Uu0HSU5IeyrzOak+FMDystYkfYAPwY+BqYBPwDPCeBuv5XeBa4LmReX8DHEzTB4Evpumbge8yODZkD/B4zbVuBa5N028HfgS8J7d60/NdnKYvAB5Pz/8gcFua/xXgD9P0HwFfSdO3AQ/U/LreDnwNeChdz7XOnwCXjc0r7W9f2y8y45f7APDwyPU7gDsarmnnWDC8AGxN01sZ7HMB8PfAJ6Yt11DdR4CP5Fwv8OvA94H3M9j5ZuP4+wB4GPhAmt6YllNN9W1ncG6RG4CH0oqUXZ3pOacFQ2l/+6aHEoUO0W7YUoeX1yG1se9l8GmcXb2pPX+awYF2xxh0ia9HxFtTajlbZ7r9DeDSOuoE7gI+B/wqXb800zqhglMhjGp6z8dCh2hnKovaJV0MfBP4bET8fI1DmBurNyJ+CVwjaTODo3PfvUYtjdQp6aPAmYg4Ken6ArU0/fcv/VQIo5ruGNpwiHa2h5dLuoBBKHw1Ir6VZmdbb0S8zuBMX3uAzZKGH0yjtZytM93+DuDVGsq7DviYpJ8A9zMYTtyVYZ1A9adCaDoYngR2pS2/mxhsxDnacE3jsjy8XIPW4B7gVER8Kdd6JW1JnQKS3gZ8GDgFPArcOqPOYf23Ao9EGhhXKSLuiIjtEbGTwfvwkYj4ZG51Qk2nQqhz49OMjSg3M9ii/mPgzxuu5evAK8D/MUjZ/QzGjceBF9PlJWlZAX+X6v4BsLvmWj/IoB18Fng6/dycW73AbwNPpTqfA/4izb8aeILB4fn/DFyY5l+Urq+k269u4H1wPee+lciuzlTTM+nn+eF6U+bf3ns+mtmEpocSZpYhB4OZTXAwmNkEB4OZTXAwmNkEB4OZTXAwmNkEB4OZTfh/BKmpdUETlCgAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "font=cv2.FONT_HERSHEY_COMPLEX\n",
    "cv2.putText(blank_img,text='Hello',org=(10,500),fontFace=font,fontScale=4,color=(255,255,255)\n",
    "            ,thickness=3,lineType=cv2.LINE_AA)\n",
    "plt.imshow(blank_img)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [],
   "source": [
    "blank_img=np.zeros(shape=(512,512,3),dtype=np.int32)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [],
   "source": [
    "vertices = np.array([[100,300],[200,200],[400,300],[200,400]],dtype=np.int32)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [],
   "source": [
    "pts=vertices.reshape((-1,1,2))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x24dd11bbc88>"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "cv2.polylines(blank_img,[pts],isClosed=True,color=(255,0,0),thickness=10)\n",
    "plt.imshow(blank_img)"
   ]
  },
  {
   "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": "3.7.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}