final_skin_optimized.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/paa/anaconda3/envs/opencv-env/lib/python2.7/site-packages/ipykernel_launcher.py:13: RuntimeWarning: divide by zero encountered in divide\n",
      "  del sys.path[0]\n"
     ]
    }
   ],
   "source": [
    "import cv2\n",
    "import numpy as np\n",
    "cap=cv2.VideoCapture(0)\n",
    "\n",
    "while True:\n",
    "    ret, image=cap.read()\n",
    "    hsv=cv2.cvtColor(image,cv2.COLOR_BGR2HSV)\n",
    "    ycbcr=cv2.cvtColor(image, cv2.COLOR_BGR2YCrCb)\n",
    "\n",
    "    b,g,r=cv2.split(image)\n",
    "    y,cr,cb=cv2.split(ycbcr)\n",
    "    h,s,v=cv2.split(hsv)\n",
    "    s=s/(h+s+v)\n",
    "\n",
    "    paa=((0<=h)*(h<=50)*(0.23<s)*(s<0.68)*(r>95)*(g>40)*(b>20)*(r>g)*(r>b)*(abs(r-g)>15))+((r>95)*(g>40)*(b>20)*(r>g)*(r>b)*(abs(r-g)>15)*(cr>135)*(cb>85)*(y>80)*(cr<=(1.5862*cb+20))*(cr>=(0.3448*cb+76.2069))*(cr>=(-4.5652*cb+234.5652))*(cr<=-1.15*cb+301.75)*(cr<=-2.2857*cb+432.85))\n",
    "    b=b*paa\n",
    "    g=g*paa\n",
    "    r=r*paa\n",
    "    new=cv2.merge((b,g,r))\n",
    "    cv2.imshow('new',new)\n",
    "    keypress = cv2.waitKey(1) & 0xFF\n",
    "    if keypress == ord('q'):\n",
    "        break\n",
    "        \n",
    "cap.release()\n",
    "cv2.destroyAllWindows()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/paa/anaconda3/envs/opencv-env/lib/python2.7/site-packages/ipykernel_launcher.py:11: RuntimeWarning: divide by zero encountered in divide\n",
      "  # This is added back by InteractiveShellApp.init_path()\n"
     ]
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    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "50328\n",
      "33380\n",
      "(216, 233, 3)\n"
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    {
     "data": {
      "text/plain": [
       "-1"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import cv2\n",
    "import numpy as np\n",
    "image=cv2.imread(\"/home/paa/5_/3.jpeg\")\n",
    "row = image.shape[0]\n",
    "cols = image.shape[1]\n",
    "hsv=cv2.cvtColor(image,cv2.COLOR_BGR2HSV)\n",
    "ycbcr=cv2.cvtColor(image, cv2.COLOR_BGR2YCrCb)\n",
    "b,g,r=cv2.split(image)\n",
    "y,cr,cb=cv2.split(ycbcr)\n",
    "h,s,v=cv2.split(hsv)\n",
    "s=s/(h+s+v)\n",
    "paa=((0<=h)*(h<=50)*(0.23<s)*(s<0.68)*(r>95)*(g>40)*(b>20)*(r>g)*(r>b)*(abs(r-g)>15))+((r>95)*(g>40)*(b>20)*(r>g)*(r>b)*(abs(r-g)>15)*(cr>135)*(cb>85)*(y>80)*(cr<=(1.5862*cb+20))*(cr>=(0.3448*cb+76.2069))*(cr>=(-4.5652*cb+234.5652))*(cr<=-1.15*cb+301.75)*(cr<=-2.2857*cb+432.85))\n",
    "b=b*paa\n",
    "g=g*paa\n",
    "r=r*paa\n",
    "row=b.shape[0]\n",
    "cols=b.shape[1]\n",
    "print(row*cols)\n",
    "a=0\n",
    "#print(new)\n",
    "for i in range(row):\n",
    "    for j in range(cols):        \n",
    "            if(b[i][j]==0 * r[i][j]==0 * g[i][j]==0):\n",
    "                b[i][j]=255\n",
    "                g[i][j]=255\n",
    "                r[i][j]=255\n",
    "                a=a+1\n",
    "print(a)           \n",
    "new=cv2.merge((b,g,r))\n",
    "cv2.imwrite(\"my.jpeg\",new)\n",
    "print(new.shape)\n",
    "new=cv2.imread(\"/home/paa/G.I.S.A.-Gesture-Interpreter-for-Specially-Abled-/ArjunParmar/my.jpeg\")\n",
    "cv2.imshow('/home/paa/new',new)\n",
    "cv2.destroyAllWindows()\n",
    "cv2.waitKey(0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "-1"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "new=cv2.imread(\"/home/paa/G.I.S.A.-Gesture-Interpreter-for-Specially-Abled-/ArjunParmar/my.jpeg\")\n",
    "cv2.imshow(\"new\",new)\n",
    "cv2.destroyAllWindows()\n",
    "cv2.waitKey(0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/paa/anaconda3/envs/opencv-env/lib/python2.7/site-packages/ipykernel_launcher.py:13: RuntimeWarning: divide by zero encountered in divide\n",
      "  del sys.path[0]\n"
     ]
    }
   ],
   "source": [
    "import cv2\n",
    "import numpy as np\n",
    "cap=cv2.VideoCapture(0)\n",
    "\n",
    "while True:\n",
    "    ret, image=cap.read()\n",
    "    hsv=cv2.cvtColor(image,cv2.COLOR_BGR2HSV)\n",
    "    ycbcr=cv2.cvtColor(image, cv2.COLOR_BGR2YCrCb)\n",
    "\n",
    "    b,g,r=cv2.split(image)\n",
    "    y,cr,cb=cv2.split(ycbcr)\n",
    "    h,s,v=cv2.split(hsv)\n",
    "    s=s/(h+s+v)\n",
    "\n",
    "    paa=((0<=h)*(h<=50)*(0.23<s)*(s<0.68)*(r>95)*(g>40)*(b>20)*(r>g)*(r>b)*(abs(r-g)>15))+((r>95)*(g>40)*(b>20)*(r>g)*(r>b)*(abs(r-g)>15)*(cr>135)*(cb>85)*(y>80)*(cr<=(1.5862*cb+20))*(cr>=(0.3448*cb+76.2069))*(cr>=(-4.5652*cb+234.5652))*(cr<=-1.15*cb+301.75)*(cr<=-2.2857*cb+432.85))\n",
    "    b=b*paa\n",
    "    g=g*paa\n",
    "    r=r*paa\n",
    "    row=b.shape[0]\n",
    "    cols=b.shape[1]\n",
    "    for i in range(row):\n",
    "        for j in range(cols):        \n",
    "            if(b[i][j]==0 * r[i][j]==0 * g[i][j]==0):\n",
    "                b[i][j]=255\n",
    "                g[i][j]=255\n",
    "                r[i][j]=255\n",
    "    new=cv2.merge((b,g,r))\n",
    "    cv2.imshow('new',new)\n",
    "    keypress = cv2.waitKey(1) & 0xFF\n",
    "    if keypress == ord('q'):\n",
    "        break\n",
    "        \n",
    "cap.release()\n",
    "cv2.destroyAllWindows()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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