stylus_notebook.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import cv2\n",
    "import numpy as np\n",
    "import glob\n",
    "import img2pdf\n",
    "import os\n",
    "import time\n",
    "from collections import deque"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Outline for all variables\n",
    "# PATH = os.getcwd()#gives cur working dir\n",
    "PATH =  \"E:/PythonTutorials/OpenCV/Stylus/Downloads/\"\n",
    "download_counter = 1\n",
    "# color\n",
    "colors = [(255,0,0),(0,255,0),(0,0,255)]\n",
    "colorIndex = 0\n",
    "\n",
    "#list of deque of points for a color\n",
    "bpoints = [deque(maxlen = 512)]\n",
    "gpoints = [deque(maxlen = 512)]\n",
    "rpoints = [deque(maxlen = 512)]\n",
    "\n",
    "#index for easy access to next deque\n",
    "\n",
    "bindex = 0\n",
    "gindex = 0\n",
    "rindex = 0\n",
    "\n",
    "kernel = np.ones((5,5),np.uint8)\n",
    "# for morphological operations\n",
    "\n",
    "th = 2 #default thickness\n",
    "t1 = True #default to true\n",
    "t2 = False \n",
    "t3 = False\n",
    "\n",
    "switch_theme = False #change for background"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "NO contours detected!!\n"
     ]
    },
    {
     "output_type": "error",
     "ename": "NameError",
     "evalue": "name 'switch_screen' is not defined",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-5-4a0eff48c4bd>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m    144\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    145\u001b[0m             \u001b[0mcv2\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mcircle\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mframe\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mint\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mcenter\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;36m0\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0mint\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mcenter\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0mint\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;36m7\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0mcolors\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mcolorIndex\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m-\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 146\u001b[1;33m             \u001b[1;32mif\u001b[0m \u001b[0mswitch_screen\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    147\u001b[0m                 \u001b[0mcv2\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mcircle\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mnotebook\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mint\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mcenter\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;36m0\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m-\u001b[0m\u001b[1;36m280\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0mint\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mcenter\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m-\u001b[0m\u001b[1;36m50\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0mint\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;36m7\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;36m255\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;36m255\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;36m255\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m-\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    148\u001b[0m             \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mNameError\u001b[0m: name 'switch_screen' is not defined"
     ]
    }
   ],
   "source": [
    "# trackbar\n",
    "def setValues(x):\n",
    "    pass\n",
    "\n",
    "# cv2.namedWindow(\"Color detectors\",cv2.WINDOW_NORMAL)\n",
    "cv2.namedWindow(\"Color detectors\")\n",
    "# [[30, 62, 144], [151, 244, 245]]\n",
    "cv2.createTrackbar(\"Upper Hue\",\"Color detectors\",179,179,setValues)\n",
    "cv2.createTrackbar(\"Upper Saturation\",\"Color detectors\",255,255,setValues)\n",
    "cv2.createTrackbar(\"Upper Value\",\"Color detectors\",255,255,setValues)\n",
    "cv2.createTrackbar(\"Lower Hue\",\"Color detectors\",0,179,setValues)\n",
    "cv2.createTrackbar(\"Lower Saturation\",\"Color detectors\",0,255,setValues)\n",
    "cv2.createTrackbar(\"Lower Value\",\"Color detectors\",0,255,setValues)\n",
    "\n",
    "load_from_disk = True\n",
    "if load_from_disk:\n",
    "    penval = np.load(\"penval.npy\")\n",
    "\n",
    "#camera \n",
    "camera = cv2.VideoCapture(0)\n",
    "\n",
    "#set resolution of camera frame\n",
    "def make_720():\n",
    "    camera.set(3,1280)\n",
    "    camera.set(4,720)\n",
    "\n",
    "make_720()\n",
    "\n",
    "\n",
    "\n",
    "while (True):\n",
    "    \n",
    "    grabbed,frame = camera.read()\n",
    "    if not(grabbed):\n",
    "        break\n",
    "    \n",
    "    frame = cv2.resize(frame,(900,700))\n",
    "    frame = cv2.flip(frame,1)\n",
    "    hsv = cv2.cvtColor(frame,cv2.COLOR_BGR2HSV)\n",
    "    \n",
    "    notebook = np.zeros((600,600,3))+255\n",
    "    if switch_theme == True:\n",
    "        notebook = np.zeros((600,600,3))\n",
    "    \n",
    "    #sketchpad screen\n",
    "    frame = cv2.rectangle(frame,(300,70),(830,600),(0,0,0),3) #square frame\n",
    "\n",
    "    # 80px *80px color frames\n",
    "    frame = cv2.rectangle(frame,(300,610),(380,690),(215,215,220),-1) #eraser\n",
    "    frame = cv2.rectangle(frame,(400,610),(480,690),colors[0],-1) #blue\n",
    "    frame = cv2.rectangle(frame,(500,610),(580,690),colors[1],-1) #green\n",
    "    frame = cv2.rectangle(frame,(600,610),(680,690),colors[2],-1) #red\n",
    "    frame = cv2.circle(frame,(740,650),40,(255,255,255),-1) #clear screen\n",
    "    \n",
    "    #download,thickness,checkboxes\n",
    "    #150px * 50px rectangle\n",
    "    frame = cv2.rectangle(frame,(300,10),(450,60),(102,0,255),-1) #Download\n",
    "    frame = cv2.rectangle(frame,(650,10),(655,60),(85,79,80),-1) #thickness 1\n",
    "    frame = cv2.rectangle(frame,(705,10),(715,60),(85,79,80),-1) #thickness 2\n",
    "    frame = cv2.rectangle(frame,(765,10),(780,60),(85,79,80),-1) #thickness 3\n",
    "    \n",
    "    #checkboxes for thickness(ideal is radio button)\n",
    "    \n",
    "    #default check for t1\n",
    "    frame = cv2.rectangle(frame,(620,40),(640,60),(0,0,0),3) #for t1\n",
    "    frame = cv2.rectangle(frame,(675,40),(695,60),(0,0,0),3) #for t2\n",
    "    frame = cv2.rectangle(frame,(735,40),(755,60),(0,0,0),3) #for t3\n",
    "    if t1 == True:\n",
    "        #check for t1\n",
    "        frame = cv2.rectangle(frame,(620,40),(640,60),(255,255,255),-1)\n",
    "    if t2 == True:\n",
    "        frame = cv2.rectangle(frame,(675,40),(695,60),(255,255,255),-1) \n",
    "    if t3 == True:\n",
    "        frame = cv2.rectangle(frame,(735,40),(755,60),(255,255,255),-1) \n",
    "    \n",
    "    #Adding Borders to all boxes\n",
    "    \n",
    "    frame = cv2.rectangle(frame,(300,610),(380,690),(0,0,0),3) #eraser\n",
    "    frame = cv2.rectangle(frame,(400,610),(480,690),(0,0,0),3) #blue\n",
    "    frame = cv2.rectangle(frame,(500,610),(580,690),(0,0,0),3) #green\n",
    "    frame = cv2.rectangle(frame,(600,610),(680,690),(0,0,0),3) #red\n",
    "    frame = cv2.circle(frame,(740,650),40,(0,0,0),2) #clear screen\n",
    "    frame = cv2.rectangle(frame,(300,10),(450,60),(0,0,0),3) #download\n",
    "    \n",
    "    #Adding Text to Boxes\n",
    "    #bottom_left is org\n",
    "    frame = cv2.putText(frame,\"Eraser\",(305,655),cv2.FONT_HERSHEY_SIMPLEX,0.7,(0,0,0),2,cv2.LINE_AA)\n",
    "    frame = cv2.putText(frame,\"Blue\",(405,655),cv2.FONT_HERSHEY_SIMPLEX,0.7,(0,0,0),2,cv2.LINE_AA)\n",
    "    frame = cv2.putText(frame,\"Green\",(505,655),cv2.FONT_HERSHEY_SIMPLEX,0.7,(0,0,0),2,cv2.LINE_AA)\n",
    "    frame = cv2.putText(frame,\"Red\",(605,655),cv2.FONT_HERSHEY_SIMPLEX,0.7,(0,0,0),2,cv2.LINE_AA)\n",
    "    frame = cv2.putText(frame,\"Clear\",(705,655),cv2.FONT_HERSHEY_SIMPLEX,0.7,(0,0,0),2,cv2.LINE_AA)\n",
    "    frame = cv2.putText(frame,\"Download\",(305,40),cv2.FONT_HERSHEY_SIMPLEX,0.7,(0,0,0),2,cv2.LINE_AA)\n",
    "    \n",
    "    #Stylus pen detection\n",
    "    u_hue = cv2.getTrackbarPos(\"Upper Hue\",\"Color detectors\")\n",
    "    u_sat = cv2.getTrackbarPos(\"Upper Saturation\",\"Color detectors\")\n",
    "    u_val = cv2.getTrackbarPos(\"Upper Value\",\"Color detectors\")\n",
    "    l_hue = cv2.getTrackbarPos(\"Lower Hue\",\"Color detectors\")\n",
    "    l_sat = cv2.getTrackbarPos(\"Lower Saturation\",\"Color detectors\")\n",
    "    l_val = cv2.getTrackbarPos(\"Lower Value\",\"Color detectors\")\n",
    "    \n",
    "    if (load_from_disk):\n",
    "        blueUpper = penval[1]\n",
    "        blueLower = penval[0]\n",
    "    else:\n",
    "        #try out the combination of hsv to identigy your pen\n",
    "        blueUpper = np.array([u_hue,u_sat,u_val])\n",
    "        blueLower = np.array([l_hue,l_sat,l_val])\n",
    "    #***************************** OBJECT DETECTION *********************************#\n",
    "    \n",
    "    blueMask = cv2.inRange(hsv,blueLower,blueUpper)\n",
    "    blueMask = cv2.morphologyEx(blueMask,cv2.MORPH_OPEN,kernel)#erode and dilate\n",
    "    blueMask = cv2.erode(blueMask,kernel,iterations = 2)\n",
    "     \n",
    "    # Find contours in the range\n",
    "    # get boundareies of pen\n",
    "    cnts,_ = cv2.findContours(blueMask.copy(),cv2.RETR_EXTERNAL,cv2.CHAIN_APPROX_SIMPLE)\n",
    "    center = None\n",
    "    \n",
    "    \n",
    "    #check to see if any contours were found\n",
    "    if(len(cnts) > 0):\n",
    "        #sort the cnts and find the largest one\n",
    "        cnt = sorted(cnts,key = cv2.contourArea,reverse = True)[0]\n",
    "        \n",
    "        #Get the radius of the enclosing circle around the found contour\n",
    "        ((x,y),radius) = cv2.minEnclosingCircle(cnt)\n",
    "        \n",
    "        #Draw the circle around the contour\n",
    "        cv2.circle(frame,(int(x),int(y)),int(radius),(0,255,255),2)#yellow\n",
    "        \n",
    "        #get moments to calc center\n",
    "        M = cv2.moments(cnt)\n",
    "        if(M['m00'] != 0):\n",
    "            center = (int(M['m10']/M['m00']),int(M['m01']/M['m00']))\n",
    "        else:\n",
    "            center = (0,0)\n",
    "        #cv2.circle(frame,(int(center[0]),int(center[1])),int(7),(0,0,255),-1)\n",
    "        \n",
    "        #cv2.putText(frame,\"center x:{},center y:{}\".format(center[0],center[1]),(center[0],center[1]),cv2.FONT_HERSHEY_SIMPLEX,0.7,(0,255,0),2,cv2.LINE_AA)\n",
    "        \n",
    "        val = list(center)\n",
    "        if (center[0] > 300):\n",
    "            \n",
    "            cv2.circle(frame,(int(center[0]),int(center[1])),int(7),colors[colorIndex],-1)\n",
    "            if switch_theme:\n",
    "                cv2.circle(notebook,(int(center[0])-280,int(center[1])-50),int(7),(255,255,255),-1)\n",
    "            else:\n",
    "                cv2.circle(notebook,(int(center[0])-280,int(center[1])-50),int(7),(0,0,0),-1)\n",
    "            \n",
    "            if(center[1] < 70):\n",
    "                # Download ,thichkness buttons\n",
    "                \n",
    "                if(center[0] >= 620 and center[0]<=640):\n",
    "                    #t1\n",
    "                    t1 = True\n",
    "                    t2 = False\n",
    "                    t3 = False\n",
    "                    bpoints.append(deque(maxlen = 512))\n",
    "                    bindex += 1\n",
    "                    gpoints.append(deque(maxlen = 512))\n",
    "                    gindex += 1\n",
    "                    rpoints.append(deque(maxlen = 512))\n",
    "                    rindex += 1\n",
    "                    \n",
    "                    th = 2\n",
    "                elif (center[0]>=675 and center[0]<=695):\n",
    "                    #t2\n",
    "                    t1 = False\n",
    "                    t2 = True\n",
    "                    t3 = False\n",
    "                    bpoints.append(deque(maxlen = 512))\n",
    "                    bindex += 1\n",
    "                    gpoints.append(deque(maxlen = 512))\n",
    "                    gindex += 1\n",
    "                    rpoints.append(deque(maxlen = 512))\n",
    "                    rindex += 1\n",
    "                    \n",
    "                    th = 3\n",
    "                elif (center[0]>=735 and center[0]<=755):\n",
    "                    #t3\n",
    "                    t1 = False\n",
    "                    t2 = False\n",
    "                    t3 = True\n",
    "                    bpoints.append(deque(maxlen = 512))\n",
    "                    bindex += 1\n",
    "                    gpoints.append(deque(maxlen = 512))\n",
    "                    gindex += 1\n",
    "                    rpoints.append(deque(maxlen = 512))\n",
    "                    rindex += 1\n",
    "                    \n",
    "                    th = 5\n",
    "                elif(center[0]>=300 and center[0]<=450):\n",
    "                    #Download button will come here\n",
    "                    flag = False\n",
    "                    \n",
    "                    points = [bpoints,gpoints,rpoints]\n",
    "                    for i in range(len(points)):\n",
    "                        for j in range(len(points[i])):\n",
    "                            for k in range(1,len(points[i][j])):\n",
    "\n",
    "                                if points[i][j][k-1] is None or points[i][j][k] is None:\n",
    "                                    continue\n",
    "                                flag = True\n",
    "                                x1 = points[i][j][k][0]\n",
    "                                y1 = points[i][j][k][1]\n",
    "                                tck = points[i][j][k][2]\n",
    "                                x2 = points[i][j][k-1][0]\n",
    "                                y2 = points[i][j][k-1][1]\n",
    "\n",
    "                                # cv2.line(frame,tuple(points[i][j][k-1][:2]),tuple(points[i][j][k][:2]),colors[i],2)\n",
    "                                cv2.line(notebook,(x1-280,y1-50),(x2-280,y2-50),colors[i],tck)\n",
    "                    \n",
    "                    notebook = cv2.GaussianBlur(notebook,(3,3),0) #smoothing\n",
    "                    \n",
    "                    if flag:\n",
    "                        new_path = PATH+\"Downloads\"+str(download_counter)+\" .jpg\"\n",
    "                        down = cv2.resize(notebook,(1030,500))\n",
    "                        cv2.imwrite(new_path,down)\n",
    "                        download_counter += 1\n",
    "                        \n",
    "                        cv2.putText(frame,\"Download Successfull !\",(390,300),cv2.FONT_HERSHEY_SIMPLEX,1,(0,255,0),2,cv2.LINE_AA)\n",
    "                        time.sleep(0.5)\n",
    "                    else:\n",
    "                        cv2.putText(frame,\"Empty Notebook!\",(390,300),cv2.FONT_HERSHEY_SIMPLEX,1,(0,0,255),2,cv2.LINE_AA)\n",
    "\n",
    "                        \n",
    "            elif (center[1]>600):\n",
    "                #color pickers,eraser,clear\n",
    "                if (center[0]>300 and center[0]<=380):\n",
    "                    #eraser\n",
    "                    #erase all the points of a particular color\n",
    "                    if colorIndex == 0:\n",
    "                        bpoints = [deque(maxlen=512)]\n",
    "                        bindex = 0\n",
    "                    elif (colorIndex == 1):\n",
    "                        gpoints = [deque(maxlen=512)]\n",
    "                        gindex = 0\n",
    "                    elif (colorIndex == 2):\n",
    "                        rpoints = [deque(maxlen=512)]\n",
    "                        rindex = 0\n",
    "                        \n",
    "                elif(center[0]>=400 and center[0]<=480):\n",
    "                    #blue\n",
    "                    colorIndex = 0\n",
    "                    \n",
    "                elif (center[0]>=500 and center[0]<=580):\n",
    "                    #green\n",
    "                    colorIndex = 1\n",
    "                elif (center[0]>=600 and center[0]<=680):\n",
    "                    #red\n",
    "                    colorIndex = 2\n",
    "                elif (center[0]>=700 and center[0]<=780):\n",
    "                    #clear screen\n",
    "                    #reintialize all points\n",
    "                    bpoints = [deque(maxlen=512)]   \n",
    "                    gpoints = [deque(maxlen=512)]   \n",
    "                    rpoints = [deque(maxlen=512)]\n",
    "                    bindex = 0\n",
    "                    gindex = 0\n",
    "                    rindex = 0\n",
    "                    \n",
    "                    if (switch_theme):\n",
    "                        notebook[:,:,:] = 0\n",
    "                    else:\n",
    "                        notebook[:,:,:] = 255\n",
    "            else:\n",
    "                #print(\"We are inside the sktechpad black square!!\")\n",
    "                #important point to be grabbed\n",
    "                val.append(th)\n",
    "                if (colorIndex == 0):\n",
    "                    bpoints[bindex].appendleft(val)\n",
    "                elif (colorIndex == 1):\n",
    "                    gpoints[gindex].appendleft(val)\n",
    "                elif (colorIndex == 2):\n",
    "                    rpoints[rindex].appendleft(val)\n",
    "        else:\n",
    "            #print(\"x cordinate is less than 300px\")\n",
    "            #small check\n",
    "            if (bindex > 1000 or gindex >1000 or rindex>1000):\n",
    "                print(\"Memory Full!!\")\n",
    "                break\n",
    "                \n",
    "            #discontinuity points\n",
    "            #add a new deque to each list\n",
    "            bpoints.append(deque(maxlen = 512))\n",
    "            bindex += 1\n",
    "            gpoints.append(deque(maxlen = 512))\n",
    "            gindex += 1\n",
    "            rpoints.append(deque(maxlen = 512))\n",
    "            rindex += 1\n",
    "    else:\n",
    "        print(\"NO contours detected!!\")\n",
    "    \n",
    "        \n",
    "    \n",
    "    points = [bpoints,gpoints,rpoints]\n",
    "    for i in range(len(points)):\n",
    "        for j in range(len(points[i])):\n",
    "            for k in range(1,len(points[i][j])):\n",
    "                \n",
    "                if points[i][j][k-1] is None or points[i][j][k] is None:\n",
    "                    continue\n",
    "                x1 = points[i][j][k][0]\n",
    "                y1 = points[i][j][k][1]\n",
    "                tck = points[i][j][k][2]\n",
    "                x2 = points[i][j][k-1][0]\n",
    "                y2 = points[i][j][k-1][1]\n",
    "                \n",
    "                # cv2.line(frame,tuple(points[i][j][k-1][:2]),tuple(points[i][j][k][:2]),colors[i],2)\n",
    "                cv2.line(frame,(x1,y1),(x2,y2),colors[i],2)\n",
    "                cv2.line(notebook,(x1-280,y1-50),(x2-280,y2-50),colors[i],tck)\n",
    "    \n",
    "    #********************************* END ****************************#\n",
    "    \n",
    "    cv2.imshow(\"Notebook\",notebook)\n",
    "    cv2.imshow(\"Sketchpad frame\",frame)\n",
    "    if cv2.waitKey(1) & 0xFF == ord('q'):\n",
    "        cv2.putText(frame,\"Processing Notebooks !!\",(390,300),cv2.FONT_HERSHEY_SIMPLEX,1,(0,0,255),2,cv2.LINE_AA)\n",
    "        with open(\"Gowtham_ProjectSWE.pdf\",\"wb\") as f:\n",
    "            f.write(img2pdf.convert(glob.glob(r\"Downloads/*.jpg\")))\n",
    "            \n",
    "        break\n",
    "    \n",
    "camera.release()\n",
    "cv2.destroyAllWindows()"
   ]
  },
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   "metadata": {},
   "source": []
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