air canvas.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "3fc622ac-ce58-49f5-9d5a-b40d177d5356",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\HP\\anaconda3\\Lib\\site-packages\\google\\protobuf\\symbol_database.py:55: UserWarning: SymbolDatabase.GetPrototype() is deprecated. Please use message_factory.GetMessageClass() instead. SymbolDatabase.GetPrototype() will be removed soon.\n",
      "  warnings.warn('SymbolDatabase.GetPrototype() is deprecated. Please '\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
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    }
   ],
   "source": [
    "# import lib\n",
    "import cv2\n",
    "import numpy as np\n",
    "import mediapipe as mp\n",
    "from collections import deque\n",
    "\n",
    "# different arrays to handel colour points\n",
    "bpoints = [deque(maxlen=1024)]\n",
    "gpoints = [deque(maxlen=1024)]\n",
    "rpoints = [deque(maxlen=1024)]\n",
    "ypoints = [deque(maxlen=1024)]\n",
    "\n",
    "#indexe used to mark the points in particular arrays of sepecific colour\n",
    "blue_index = 0\n",
    "green_index = 0\n",
    "red_index = 0\n",
    "yellow_index = 0\n",
    "\n",
    "#the  kernel to be used for dilation purpose\n",
    "kernel = np.ones((5,5),np.uint8)\n",
    "\n",
    "colors = [(255,0,0), (0,255,0), (0,0,255),(0,255,255)]\n",
    "colorIndex = 0\n",
    "\n",
    "#white canvas setup\n",
    "paintWindow = np.zeros((471,636,3)) + 255\n",
    "paintWindow = cv2.rectangle(paintWindow, (40,1),(140,65),(0,0,0),2)\n",
    "paintWindow = cv2.rectangle(paintWindow, (160,1),(255,65),(255,0,0),2)\n",
    "paintWindow = cv2.rectangle(paintWindow, (275,1),(370,65),(0,255,0),2)\n",
    "paintWindow = cv2.rectangle(paintWindow, (390,1),(485,65),(0,0,255),2)\n",
    "paintWindow = cv2.rectangle(paintWindow, (505,1),(600,65),(0,255,255),2)\n",
    "\n",
    "cv2.putText(paintWindow, \"CLEAR\", (49,33),cv2.FONT_HERSHEY_SIMPLEX, 0.5,(0,0,0),2, cv2.LINE_AA)\n",
    "cv2.putText(paintWindow, \"BLUE\", (185,33),cv2.FONT_HERSHEY_SIMPLEX, 0.5,(0,0,0),2, cv2.LINE_AA)\n",
    "cv2.putText(paintWindow, \"GREEN\", (298,33),cv2.FONT_HERSHEY_SIMPLEX, 0.5,(0,0,0),2, cv2.LINE_AA)\n",
    "cv2.putText(paintWindow, \"RED\", (420,33),cv2.FONT_HERSHEY_SIMPLEX, 0.5, (0,0,0),2, cv2.LINE_AA)\n",
    "cv2.putText(paintWindow, \"YELLOW\", (520,33),cv2.FONT_HERSHEY_SIMPLEX, 0.5, (0,0,0),2, cv2.LINE_AA)\n",
    "cv2.namedWindow(\"Paint\", cv2.WINDOW_AUTOSIZE)\n",
    "\n",
    "# instalize mediapipe\n",
    "mpHands = mp.solutions.hands\n",
    "hands = mpHands.Hands(max_num_hands=2,min_detection_confidence=0.7)\n",
    "#this is used to draw land marks on detected hand\n",
    "mpDraw = mp.solutions.drawing_utils\n",
    "\n",
    "#initialize camera\n",
    "cap = cv2.VideoCapture(0)\n",
    "ret, frame_temp = cap.read()\n",
    "while ret:\n",
    "    ret, frame = cap.read()\n",
    "\n",
    "    x,y,c=frame.shape\n",
    "\n",
    "    #flip the frame\n",
    "    frame = cv2.flip(frame,1)\n",
    "    hsv = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV)\n",
    "    framergb = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)\n",
    "\n",
    "    frame = cv2.rectangle(frame,(40,1),(140,65),(0,0,0),2)\n",
    "    frame = cv2.rectangle(frame,(160,1),(255,65),(255,0,0),2)\n",
    "    frame = cv2.rectangle(frame,(275,1),(370,65),(0,255,0),2)\n",
    "    frame = cv2.rectangle(frame,(390,1),(485,65),(0,0,255),2)\n",
    "    frame = cv2.rectangle(frame,(505,1),(600,65),(0,255,255),2)\n",
    "    cv2.putText(frame, \"CLEAR\", (49, 33), cv2.FONT_HERSHEY_SIMPLEX, 0.5, (0, 0, 0), 2,cv2.LINE_AA)\n",
    "    cv2.putText(frame, \"BLUE\", (185, 33), cv2.FONT_HERSHEY_SIMPLEX, 0.5, (0, 0, 0), 2,cv2.LINE_AA)\n",
    "    cv2.putText(frame, \"GREEN\", (298, 33), cv2.FONT_HERSHEY_SIMPLEX, 0.5, (0, 0, 0), 2,cv2.LINE_AA)\n",
    "    cv2.putText(frame, \"RED\", (420, 33), cv2.FONT_HERSHEY_SIMPLEX, 0.5, (0, 0, 0), 2, cv2.LINE_AA)\n",
    "    cv2.putText(frame, \"YELLOW\", (520, 33), cv2.FONT_HERSHEY_SIMPLEX, 0.5, (0, 0, 0), 2,cv2.LINE_AA)\n",
    "    #frame = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)\n",
    "\n",
    "    #get hand landmark predication\n",
    "    result = hands.process(framergb)\n",
    "\n",
    "    #post process the result\n",
    "    if result.multi_hand_landmarks:\n",
    "        landmarks = []\n",
    "        for handslms in result.multi_hand_landmarks:\n",
    "            for lm in handslms.landmark:\n",
    "                ## print(id,lm)\n",
    "                # print (lm.x)\n",
    "                # print(lm.y)\n",
    "                #Adjust according to your frame size\n",
    "                lmx = int(lm.x*640)\n",
    "                lmy = int(lm.y*640)\n",
    "\n",
    "                landmarks.append([lmx, lmy])\n",
    "            # Drawing landmarks on frames\n",
    "            mpDraw.draw_landmarks(frame, handslms, mpHands.HAND_CONNECTIONS)\n",
    "        fore_finger = (landmarks[8][0], landmarks[8][1])\n",
    "        center = fore_finger\n",
    "        thumb = (landmarks[4][0],landmarks[4][1])\n",
    "        cv2.circle(frame, center, 3, (0,255,0),-1)\n",
    "        print(center[1]-thumb[1])\n",
    "        if (thumb[1]-center[1]<30):\n",
    "            bpoints.append(deque(maxlen=512))\n",
    "            blue_index += 1\n",
    "            gpoints.append(deque(maxlen=512))\n",
    "            green_index += 1\n",
    "            rpoints.append(deque(maxlen=512))\n",
    "            red_index += 1\n",
    "            ypoints.append(deque(maxlen=512))\n",
    "            yellow_index += 1\n",
    "        elif center[1]<=65:\n",
    "            if 40<=center[0]<=140: #clear Button\n",
    "                bpoints = [deque(maxlen=512)]\n",
    "                gpoints = [deque(maxlen=512)]\n",
    "                rpoints = [deque(maxlen=512)]\n",
    "                ypoints = [deque(maxlen=512)]\n",
    "\n",
    "                blue_index = 0\n",
    "                green_index = 0\n",
    "                red_index = 0\n",
    "                yellow_index = 0\n",
    "\n",
    "                paintWindow[67:,:,:] = 255\n",
    "            elif 160 <= center[0]<=255:\n",
    "                colorIndex = 0 #blue\n",
    "            elif 275 <= center[0]<=370:\n",
    "                colorIndex = 1 # green\n",
    "            elif 390 <= center[0]<=485:\n",
    "                colorIndex = 2 #red\n",
    "            elif 505 <= center[0]<= 600:\n",
    "                colorIndex = 3 # yellow\n",
    "        else:\n",
    "            if colorIndex == 0:\n",
    "                bpoints[blue_index].appendleft(center)\n",
    "            elif colorIndex == 1:\n",
    "                gpoints[green_index].appendleft(center)\n",
    "            elif colorIndex == 2:\n",
    "                rpoints[red_index].appendleft(center)\n",
    "            elif colorIndex == 3:\n",
    "                ypoints[yellow_index].appendleft(center)\n",
    "    #append the next deques when nothing is detected to avois messing up\n",
    "    else:\n",
    "        bpoints.append(deque(maxlen=512))\n",
    "        blue_index += 1\n",
    "        gpoints.append(deque(maxlen=512))\n",
    "        green_index += 1\n",
    "        rpoints.append(deque(maxlen=512))\n",
    "        red_index += 1\n",
    "        ypoints.append(deque(maxlen=512))\n",
    "        yellow_index += 1\n",
    "\n",
    "    # draw lines of all the colors\n",
    "    points = [bpoints,gpoints,rpoints,ypoints]\n",
    "\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",
    "                if points[i][j][k-1] is None or points[i][j][k] is None:\n",
    "                    continue\n",
    "                cv2.line(frame,points[i][j][k-1],points[i][j][k], colors[i],2)\n",
    "                cv2.line(paintWindow, points[i][j][k-1], points[i][j][k],colors[i],2)\n",
    "    cv2.imshow(\"Output\",frame)\n",
    "    cv2.imshow(\"paint\",paintWindow)\n",
    "\n",
    "    if cv2.waitKey(1) == ord('q'):\n",
    "        break\n",
    "# release the web cam and destory all active window\n",
    "cap.release()\n",
    "cv2.destroyAllWindows()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "a811bb0f-732d-4dc7-a560-98d4bc7868ba",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Collecting opencv-python\n",
      "  Downloading opencv_python-4.10.0.84-cp37-abi3-win_amd64.whl.metadata (20 kB)\n",
      "Requirement already satisfied: numpy>=1.21.2 in c:\\users\\hp\\anaconda3\\lib\\site-packages (from opencv-python) (1.26.4)\n",
      "Downloading opencv_python-4.10.0.84-cp37-abi3-win_amd64.whl (38.8 MB)\n",
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      "   ---------------------------------------- 38.8/38.8 MB 17.2 MB/s eta 0:00:00\n",
      "Installing collected packages: opencv-python\n",
      "Successfully installed opencv-python-4.10.0.84\n",
      "Note: you may need to restart the kernel to use updated packages.\n"
     ]
    }
   ],
   "source": [
    "pip install opencv-python"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "3a44582d-ead9-4fea-a488-69767e16c2a6",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Collecting opencv-python-headless\n",
      "  Downloading opencv_python_headless-4.10.0.84-cp37-abi3-win_amd64.whl.metadata (20 kB)\n",
      "Requirement already satisfied: numpy>=1.21.2 in c:\\users\\hp\\anaconda3\\lib\\site-packages (from opencv-python-headless) (1.26.4)\n",
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      "   ---------------------------------------- 38.8/38.8 MB 4.4 MB/s eta 0:00:00\n",
      "Installing collected packages: opencv-python-headless\n",
      "Successfully installed opencv-python-headless-4.10.0.84\n",
      "Note: you may need to restart the kernel to use updated packages.\n"
     ]
    }
   ],
   "source": [
    "pip install opencv-python-headless\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "7dc6676c-716e-4580-902f-5710ec990071",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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      "Note: you may need to restart the kernel to use updated packages.\n",
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      "Downloading ml_dtypes-0.4.0-cp312-cp312-win_amd64.whl (127 kB)\n",
      "   ---------------------------------------- 0.0/127.5 kB ? eta -:--:--\n",
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      "Downloading opt_einsum-3.3.0-py3-none-any.whl (65 kB)\n",
      "   ---------------------------------------- 0.0/65.5 kB ? eta -:--:--\n",
      "   ---------------------------------------- 65.5/65.5 kB 3.5 MB/s eta 0:00:00\n",
      "Installing collected packages: flatbuffers, protobuf, opt-einsum, opencv-contrib-python, ml-dtypes, absl-py, sounddevice, jaxlib, jax, mediapipe\n",
      "  Attempting uninstall: protobuf\n",
      "    Found existing installation: protobuf 3.20.3\n",
      "    Uninstalling protobuf-3.20.3:\n",
      "      Successfully uninstalled protobuf-3.20.3\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "ERROR: Could not install packages due to an OSError: [WinError 5] Access is denied: 'C:\\\\Users\\\\HP\\\\anaconda3\\\\Lib\\\\site-packages\\\\cv2\\\\cv2.pyd'\n",
      "Consider using the `--user` option or check the permissions.\n",
      "\n"
     ]
    }
   ],
   "source": [
    "pip install mediapipe"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "17a8db84-3127-4bc8-879f-82c652ce412b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Collecting mediapipe\n",
      "  Using cached mediapipe-0.10.14-cp312-cp312-win_amd64.whl.metadata (9.9 kB)\n",
      "Collecting absl-py (from mediapipe)\n",
      "  Using cached absl_py-2.1.0-py3-none-any.whl.metadata (2.3 kB)\n",
      "Requirement already satisfied: attrs>=19.1.0 in c:\\users\\hp\\anaconda3\\lib\\site-packages (from mediapipe) (23.1.0)\n",
      "Requirement already satisfied: flatbuffers>=2.0 in c:\\users\\hp\\anaconda3\\lib\\site-packages (from mediapipe) (24.3.25)\n",
      "Collecting jax (from mediapipe)\n",
      "  Using cached jax-0.4.30-py3-none-any.whl.metadata (22 kB)\n",
      "Collecting jaxlib (from mediapipe)\n",
      "  Using cached jaxlib-0.4.30-cp312-cp312-win_amd64.whl.metadata (1.1 kB)\n",
      "Requirement already satisfied: matplotlib in c:\\users\\hp\\anaconda3\\lib\\site-packages (from mediapipe) (3.8.4)\n",
      "Requirement already satisfied: numpy in c:\\users\\hp\\anaconda3\\lib\\site-packages (from mediapipe) (1.26.4)\n",
      "Collecting opencv-contrib-python (from mediapipe)\n",
      "  Using cached opencv_contrib_python-4.10.0.84-cp37-abi3-win_amd64.whl.metadata (20 kB)\n",
      "Requirement already satisfied: protobuf<5,>=4.25.3 in c:\\users\\hp\\anaconda3\\lib\\site-packages (from mediapipe) (4.25.3)\n",
      "Collecting sounddevice>=0.4.4 (from mediapipe)\n",
      "  Using cached sounddevice-0.4.7-py3-none-win_amd64.whl.metadata (1.4 kB)\n",
      "Requirement already satisfied: CFFI>=1.0 in c:\\users\\hp\\anaconda3\\lib\\site-packages (from sounddevice>=0.4.4->mediapipe) (1.16.0)\n",
      "Collecting ml-dtypes>=0.2.0 (from jax->mediapipe)\n",
      "  Using cached ml_dtypes-0.4.0-cp312-cp312-win_amd64.whl.metadata (20 kB)\n",
      "Requirement already satisfied: opt-einsum in c:\\users\\hp\\anaconda3\\lib\\site-packages (from jax->mediapipe) (3.3.0)\n",
      "Requirement already satisfied: scipy>=1.9 in c:\\users\\hp\\anaconda3\\lib\\site-packages (from jax->mediapipe) (1.13.1)\n",
      "Requirement already satisfied: contourpy>=1.0.1 in c:\\users\\hp\\anaconda3\\lib\\site-packages (from matplotlib->mediapipe) (1.2.0)\n",
      "Requirement already satisfied: cycler>=0.10 in c:\\users\\hp\\anaconda3\\lib\\site-packages (from matplotlib->mediapipe) (0.11.0)\n",
      "Requirement already satisfied: fonttools>=4.22.0 in c:\\users\\hp\\anaconda3\\lib\\site-packages (from matplotlib->mediapipe) (4.51.0)\n",
      "Requirement already satisfied: kiwisolver>=1.3.1 in c:\\users\\hp\\anaconda3\\lib\\site-packages (from matplotlib->mediapipe) (1.4.4)\n",
      "Requirement already satisfied: packaging>=20.0 in c:\\users\\hp\\anaconda3\\lib\\site-packages (from matplotlib->mediapipe) (23.2)\n",
      "Requirement already satisfied: pillow>=8 in c:\\users\\hp\\anaconda3\\lib\\site-packages (from matplotlib->mediapipe) (10.3.0)\n",
      "Requirement already satisfied: pyparsing>=2.3.1 in c:\\users\\hp\\anaconda3\\lib\\site-packages (from matplotlib->mediapipe) (3.0.9)\n",
      "Requirement already satisfied: python-dateutil>=2.7 in c:\\users\\hp\\anaconda3\\lib\\site-packages (from matplotlib->mediapipe) (2.9.0.post0)\n",
      "Requirement already satisfied: pycparser in c:\\users\\hp\\anaconda3\\lib\\site-packages (from CFFI>=1.0->sounddevice>=0.4.4->mediapipe) (2.21)\n",
      "Requirement already satisfied: six>=1.5 in c:\\users\\hp\\anaconda3\\lib\\site-packages (from python-dateutil>=2.7->matplotlib->mediapipe) (1.16.0)\n",
      "Using cached mediapipe-0.10.14-cp312-cp312-win_amd64.whl (50.8 MB)\n",
      "Using cached sounddevice-0.4.7-py3-none-win_amd64.whl (200 kB)\n",
      "Using cached absl_py-2.1.0-py3-none-any.whl (133 kB)\n",
      "Using cached jax-0.4.30-py3-none-any.whl (2.0 MB)\n",
      "Using cached jaxlib-0.4.30-cp312-cp312-win_amd64.whl (52.0 MB)\n",
      "Using cached opencv_contrib_python-4.10.0.84-cp37-abi3-win_amd64.whl (45.5 MB)\n",
      "Using cached ml_dtypes-0.4.0-cp312-cp312-win_amd64.whl (127 kB)\n",
      "Installing collected packages: opencv-contrib-python, ml-dtypes, absl-py, sounddevice, jaxlib, jax, mediapipe\n",
      "Successfully installed absl-py-2.1.0 jax-0.4.30 jaxlib-0.4.30 mediapipe-0.10.14 ml-dtypes-0.4.0 opencv-contrib-python-4.10.0.84 sounddevice-0.4.7\n",
      "Note: you may need to restart the kernel to use updated packages.\n"
     ]
    }
   ],
   "source": [
    "pip install mediapipe --user"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "618d6e95-97e4-4744-b52f-8d3f1da3f0fe",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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