Sathyashree_OpenCV_Basics.ipynb

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    "## OpenCV Basics"
   ]
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    "### Loading and displaying a single image\n",
    "**Importing the OpenCV library**\n",
    "\n",
    "**Loading the image into a variable**\n",
    "\n",
    "**Displaying the image through a window**"
   ]
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   "cell_type": "code",
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   "source": [
    "#Import OpenCV library\n",
    "import cv2"
   ]
  },
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    "#Read and load the image to img variable\n",
    "img = cv2.imread('extras/5X5_empty_grid.png')"
   ]
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   "execution_count": 3,
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    "#Resizing the image to required ratio\n",
    "resize = cv2.resize(img, (240, 240)) "
   ]
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    "#Show the image through the window\n",
    "cv2.imshow(\"Output\" , resize)\n",
    "#Image stays on the window until a key on the keyboard is pressed\n",
    "cv2.waitKey(0)"
   ]
  },
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   "cell_type": "markdown",
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    "### Loading and displaying multiple images\n",
    "**Importing the OpenCV library and the numpy library**\n",
    "\n",
    "**Loading the images into  variables**\n",
    "\n",
    "**Concatenate images both horizontally and vertically**\n",
    "\n",
    "**Displaying concatenated images through a single window**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Import OpenCV library\n",
    "import cv2\n",
    "#Import numpy library\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
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    "#Read and load the first image to img1 variable\n",
    "img1 = cv2.imread('extras/5X5_empty_grid.png')\n",
    "#Read and load the second image to img2 variable\n",
    "img2 = cv2.imread('extras/5X5_colored_grid.png')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Resize both the images to the required ratio\n",
    "resize1 = cv2.resize(img1 , (240, 240)) \n",
    "resize2 = cv2.resize(img2 , (240, 240)) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Concatanate image horizontally\n",
    "hori_concatenated = np.concatenate((resize1,resize2),axis=1)\n",
    "#Concatanate image vertically\n",
    "verti_concatenated = np.concatenate((resize1,resize2),axis=0)"
   ]
  },
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   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
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     "execution_count": 9,
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   "source": [
    "#Display concatenated images\n",
    "cv2.imshow('Horizontally_Concatenated' , hori_concatenated)\n",
    "cv2.imshow('Vertically_Concatenated' , verti_concatenated)\n",
    "cv2.waitKey(0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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