project_rdhkdh.ipynb

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   "source": [
    "import cv2\n",
    "import mediapipe as mp\n",
    "from mediapipe.python.solutions.drawing_utils import draw_landmarks\n",
    "import math\n",
    "from ctypes import cast, POINTER\n",
    "from comtypes import CLSCTX_ALL\n",
    "from pycaw.pycaw import AudioUtilities, IAudioEndpointVolume\n",
    "import numpy\n",
    "\n",
    "devices = AudioUtilities.GetSpeakers()\n",
    "interface = devices.Activate(\n",
    "    IAudioEndpointVolume._iid_, CLSCTX_ALL, None)\n",
    "volume = cast(interface, POINTER(IAudioEndpointVolume))\n",
    "\n",
    "#volume.GetMasterVolumeLevel()\n",
    "\n",
    "cap = cv2.VideoCapture(0)\n",
    "mpHands = mp.solutions.hands\n",
    "hands = mpHands.Hands()\n",
    "mpDraw = mp.solutions.drawing_utils\n",
    "\n",
    "while True:\n",
    "    success , img =cap.read()\n",
    "    imgRGB = cv2.cvtColor(img , cv2.COLOR_BGR2RGB)\n",
    "    results = hands.process(imgRGB)\n",
    "    \n",
    "\n",
    "    if results.multi_hand_landmarks:\n",
    "        for handLms in results.multi_hand_landmarks:\n",
    "            lmList = []\n",
    "            for id ,lm in enumerate(handLms.landmark):\n",
    "                #print(id , lm)\n",
    "                h ,w , c = img.shape\n",
    "                cx ,cy = int(lm.x*w) , int(lm.y*h)\n",
    "                lmList.append([id ,cx, cy])\n",
    "\n",
    "                mpDraw.draw_landmarks(img , handLms ,mpHands.HAND_CONNECTIONS)\n",
    "            \n",
    "        if lmList:\n",
    "            x1 ,y1  = lmList[4][1] , lmList[4][2]\n",
    "            x2, y2  = lmList[8][1], lmList[8][2]\n",
    "            cv2.circle(img , (x1, y1) , 15 ,(255,0,0) , cv2.FILLED )\n",
    "            cv2.circle(img , (x2, y2) , 15 ,(255,0,0) , cv2.FILLED )\n",
    "            cv2.line(img , (x1 , y1) , (x2 , y2) ,(255 , 0 , 255) , 3)\n",
    "\n",
    "            z1 , z2 = (x1+x2)//2 , (y1+y2)//2\n",
    "            length = math.hypot(x2- x1 , y2- y1)\n",
    "            if length<50 :\n",
    "                cv2.circle(img , (z1 ,z2) ,15 , (255 , 255 , 255) ,cv2.FILLED)\n",
    "            \n",
    "            #print(length)\n",
    "            \n",
    "            #volume.GetMute()\n",
    "        volRange  = volume.GetVolumeRange()\n",
    "        minVol = volRange[0]\n",
    "        maxVol = volRange[1]\n",
    "        vol = numpy.interp(length , [50 ,300] , [minVol ,maxVol])\n",
    "        volBar = numpy.interp(length , [50 ,300] , [400 ,150])\n",
    "        volPer = numpy.interp(length , [50 ,300] , [0 ,100])\n",
    "\n",
    "        #length =50  ===> volPer =0\n",
    "        #length = 300 ===>volPer =100\n",
    "        #length = 175 ==> volPer = 50\n",
    "        #print(vol)\n",
    "        #print(int(length) , vol)\n",
    "        #print(minVol ,maxVol)\n",
    "        volume.SetMasterVolumeLevel(vol, None)\n",
    "        cv2.rectangle(img , (50 ,150) , (85 , 400) ,(123,213,122) ,3)\n",
    "        cv2.rectangle(img , (50 , int(volBar)) , (85 ,400) ,(0, 231,23) ,cv2.FILLED)\n",
    "        cv2.putText(img , str(int(volPer)) , (40, 450) ,cv2.FONT_HERSHEY_PLAIN ,4 , (24,34,34) , 3)\n",
    "        \n",
    "    cv2.imshow(\"Image\" ,img)\n",
    "    cv2.waitKey(1)\n",
    "\n",
    "# Length of line =[50, 300]\n",
    "# Range of sound is =[-21, 20]\n",
    "# Range of actual volume = [0,100]"
   ]
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