04_Drawing_on_Image.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "#import necessary packeages\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "import cv2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "#create a blnk image\n",
    "def load_blankimage():\n",
    "    blank_image = np.zeros(shape=(512, 600, 3), dtype = np.int16)\n",
    "    org_img = blank_image\n",
    "    return blank_image"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x11da66518>"
      ]
     },
     "execution_count": 3,
     "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": [
    "#ploting image\n",
    "blank_image=load_blankimage()\n",
    "plt.imshow(blank_image)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x11dd0d710>"
      ]
     },
     "execution_count": 4,
     "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": [
    "#draw a straight line\n",
    "line_img = load_blankimage()\n",
    "#cv2.line(image_name, pt1=(x1,y1), pt2=(x2, y2),color=(r,g,b), thickness=px)\n",
    "cv2.line(line_img, pt1=(0,0), pt2=(600,512), color=(0,0,255),thickness=5)\n",
    "plt.imshow(line_img)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x11e018208>"
      ]
     },
     "execution_count": 5,
     "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": [
    "#draw circle\n",
    "img_circle = load_blankimage()\n",
    "cv2.circle(img=img_circle, center=(350,350), radius=100, color=(0,255,0), thickness=-1)\n",
    "plt.imshow(img_circle)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x11e3a9400>"
      ]
     },
     "execution_count": 6,
     "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": [
    "#draw a rectangle\n",
    "# pt1 = top left\n",
    "# pt2 = bottom right\n",
    "rect_img = load_blankimage()\n",
    "cv2.rectangle(img=rect_img, pt1=(200,300), pt2=(450,400), color=(255,0,0), thickness=-1)\n",
    "plt.imshow(rect_img)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x11e6fb5f8>"
      ]
     },
     "execution_count": 7,
     "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": [
    "#text in the blank_image\n",
    "text_image = load_blankimage()\n",
    "cv2.putText(text_image, text = \"Mamun\", org=(100, 200), fontFace=cv2.FONT_HERSHEY_SIMPLEX,fontScale=4,color=(255,255,255),thickness=2,lineType=cv2.LINE_AA)\n",
    "plt.imshow(text_image)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x11e9f58d0>"
      ]
     },
     "execution_count": 8,
     "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": [
    "poly_img=load_blankimage()\n",
    "vertices = np.array([[100,300],[200,200],[400,300],[200,400]],np.int32)\n",
    "\n",
    "cv2.polylines(poly_img,[vertices],isClosed=True,color=(255,255,0),thickness=5)\n",
    "plt.imshow(poly_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": "3.7.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}