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Invisible_Cloak.ipynb

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+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "import cv2\n",
+    "import time\n",
+    "cap=cv2.VideoCapture(0)#VideoCapture:Class for video capturing from video files, image sequences or cameras.\n",
+    "                       #cv2.VideoCapture(device):id of the opened video capturing device (i.e. a camera index). \n",
+    "                       #If there is a single camera connected, just pass 0.\n",
+    "fourcc=cv2.VideoWriter_fourcc(*'XVID') \n",
+    "out=cv2.VideoWriter('harry.avi' , fourcc, 20.0, (640,480))\n",
+    "#FourCC is a 4-byte code used to specify the video codec. The codecs for Windows is DIVX. Therefore *’XVID' is used.\n",
+    "#Then to save Operated Video from a webcam, cv2.VideoWriter() function is used.\n",
+    "\n",
+    "time.sleep(2) #to halt the execution of the program for given time in seconds.\n",
+    "\n",
+    "background=0 #capturing background\n",
+    "for i in range(30):\n",
+    "    ret,background=cap.read() #capturing image\n",
+    "\n",
+    "while(cap.isOpened()): #Returns true if video capturing has been initialized already.\n",
+    "    ret, img = cap.read() #.read():Grabs, decodes and returns the next video frame.\n",
+    "    if not ret:\n",
+    "        break\n",
+    "        \n",
+    "    hsv=cv2.cvtColor(img, cv2.COLOR_BGR2HSV) #.cvtColor():Converts BGR image into HSV image.\n",
+    "    lower_red = np.array([0,120,70])\n",
+    "    upper_red = np.array([10,255,255])\n",
+    "    mask1 = cv2.inRange(hsv , lower_red , upper_red) \n",
+    "    \n",
+    "    lower_red = np.array([170,120,70])\n",
+    "    upper_red = np.array([180,255,255])\n",
+    "    mask2 = cv2.inRange(hsv , lower_red , upper_red)\n",
+    "    \n",
+    "    #in above steps, we find the pixel location of red color and store them in mask1 and mask2. The HSV range of true red is \n",
+    "    #(0,255,255) and to accomodate variations of it we will consider the above ranges.\n",
+    "    #To learn more check:- http://hanzratech.in/2015/02/07/caveat-thresholding-hue-component.html\n",
+    "    \n",
+    "    mask1 = mask1 + mask2 #OR\n",
+    "    \n",
+    "    #in order to carry out process of Dilution and Erosion:-\n",
+    "    mask1=cv2.morphologyEx(mask1, cv2.MORPH_OPEN ,np.ones((3,3) , np.uint8) , iterations=2) #to remove small objects.\n",
+    "        \n",
+    "    mask2=cv2.morphologyEx(mask1, cv2.MORPH_DILATE ,np.ones((3,3) , np.uint8) , iterations=1) #to make image wider.\n",
+    "        \n",
+    "    mask2 = cv2.bitwise_not(mask1) #to invert every bit of an array.\n",
+    "    \n",
+    "    res1 = cv2.bitwise_and(background, background, mask=mask1) #calculates the per-element bit-wise conjunction of two \n",
+    "    res2 = cv2.bitwise_and(img, img, mask=mask2)               #arrays or an array and a scalar.\n",
+    "    \n",
+    "    final_output = cv2.addWeighted(res1 , 1, res2 , 1, 0) #calculates the weighted sum of two arrays.\n",
+    "                   #cv2.addWeighted(array,alpha,array,beta,gamma):- alpha,beta(weights of arrays) gamma(scalar added to each sum)\n",
+    "    \n",
+    "    cv2.imshow('Harry' , final_output)\n",
+    "    \n",
+    "    if cv2.waitKey(10) & 0xFF==ord('q'): #to cleanup the camera and close any open windows\n",
+    "        cap.release()\n",
+    "        cv2.destroyAllWindows()\n",
+    "        break"
+   ]
+  },
+  {
+   "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"
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+ "nbformat": 4,
+ "nbformat_minor": 2
+}