MotionLearnML - RefVideo.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: mediapipe in h:\\anaconda\\lib\\site-packages (0.8.6)\n",
      "Requirement already satisfied: opencv-python in h:\\anaconda\\lib\\site-packages (4.5.3.56)\n",
      "Requirement already satisfied: absl-py in h:\\anaconda\\lib\\site-packages (from mediapipe) (0.13.0)\n",
      "Requirement already satisfied: wheel in h:\\anaconda\\lib\\site-packages (from mediapipe) (0.35.1)\n",
      "Requirement already satisfied: opencv-contrib-python in h:\\anaconda\\lib\\site-packages (from mediapipe) (4.5.3.56)\n",
      "Requirement already satisfied: numpy in h:\\anaconda\\lib\\site-packages (from mediapipe) (1.19.2)\n",
      "Requirement already satisfied: attrs>=19.1.0 in h:\\anaconda\\lib\\site-packages (from mediapipe) (20.3.0)\n",
      "Requirement already satisfied: matplotlib in h:\\anaconda\\lib\\site-packages (from mediapipe) (3.3.2)\n",
      "Requirement already satisfied: protobuf>=3.11.4 in h:\\anaconda\\lib\\site-packages (from mediapipe) (3.17.3)\n",
      "Requirement already satisfied: six in h:\\anaconda\\lib\\site-packages (from mediapipe) (1.15.0)\n",
      "Requirement already satisfied: pillow>=6.2.0 in h:\\anaconda\\lib\\site-packages (from matplotlib->mediapipe) (8.0.1)\n",
      "Requirement already satisfied: certifi>=2020.06.20 in h:\\anaconda\\lib\\site-packages (from matplotlib->mediapipe) (2020.6.20)\n",
      "Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.3 in h:\\anaconda\\lib\\site-packages (from matplotlib->mediapipe) (2.4.7)\n",
      "Requirement already satisfied: cycler>=0.10 in h:\\anaconda\\lib\\site-packages (from matplotlib->mediapipe) (0.10.0)\n",
      "Requirement already satisfied: python-dateutil>=2.1 in h:\\anaconda\\lib\\site-packages (from matplotlib->mediapipe) (2.8.1)\n",
      "Requirement already satisfied: kiwisolver>=1.0.1 in h:\\anaconda\\lib\\site-packages (from matplotlib->mediapipe) (1.3.0)\n",
      "Requirement already satisfied: matplotlib in h:\\anaconda\\lib\\site-packages (3.3.2)\n",
      "Requirement already satisfied: cycler>=0.10 in h:\\anaconda\\lib\\site-packages (from matplotlib) (0.10.0)\n",
      "Requirement already satisfied: kiwisolver>=1.0.1 in h:\\anaconda\\lib\\site-packages (from matplotlib) (1.3.0)\n",
      "Requirement already satisfied: numpy>=1.15 in h:\\anaconda\\lib\\site-packages (from matplotlib) (1.19.2)\n",
      "Requirement already satisfied: pillow>=6.2.0 in h:\\anaconda\\lib\\site-packages (from matplotlib) (8.0.1)\n",
      "Requirement already satisfied: certifi>=2020.06.20 in h:\\anaconda\\lib\\site-packages (from matplotlib) (2020.6.20)\n",
      "Requirement already satisfied: python-dateutil>=2.1 in h:\\anaconda\\lib\\site-packages (from matplotlib) (2.8.1)\n",
      "Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.3 in h:\\anaconda\\lib\\site-packages (from matplotlib) (2.4.7)\n",
      "Requirement already satisfied: six in h:\\anaconda\\lib\\site-packages (from cycler>=0.10->matplotlib) (1.15.0)\n"
     ]
    }
   ],
   "source": [
    "!pip install mediapipe opencv-python\n",
    "!pip install matplotlib"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import cv2\n",
    "import csv\n",
    "import mediapipe as mp\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "mp_drawing = mp.solutions.drawing_utils\n",
    "mp_pose = mp.solutions.pose\n",
    "\n",
    "def calculate_angle(a,b,c):\n",
    "    a = np.array(a)\n",
    "    b = np.array(b)\n",
    "    c = np.array(c)\n",
    "    \n",
    "    radians = np.arctan2(c[1]-b[1], c[0]-b[0]) - np.arctan2(a[1]-b[1], a[0]-b[0])\n",
    "    angle = np.abs(radians*100.0/np.pi)\n",
    "    \n",
    "    if angle > 180.0:\n",
    "        angle = 360.0 - angle\n",
    "        \n",
    "    return angle\n",
    "\n",
    "def motionLearn(video,tuteID,tuteName):\n",
    "#    fieldnames = ['frame','NOSE', 'LEFT_EYE_INNER', 'LEFT_EYE', 'LEFT_EYE_OUTER','RIGHT_EYE_INNER','RIGHT_EYE', 'RIGHT_EYE_OUTER', 'LEFT_EAR', 'RIGHT_EAR','MOUTH_LEFT','MOUTH_RIGHT', 'LEFT_SHOULDER', 'RIGHT_SHOULDER', 'LEFT_ELBOW','RIGHT_ELBOW','LEFT_WRIST', 'RIGHT_WRIST', 'LEFT_PINKY', 'RIGHT_PINKY','LEFT_INDEX','RIGHT_INDEX','LEFT_THUMB','RIGHT_THUMB', 'LEFT_HIP', 'RIGHT_HIP', 'LEFT_KNEE','RIGHT_KNEE','LEFT_ANKLE', 'RIGHT_ANKLE', 'LEFT_HEEL', 'RIGHT_HEEL','LEFT_FOOT_INDEX','RIGHT_FOOT_INDEX']\n",
    "    fieldnames = ['frame', 'Left Elbow','Right Elbow','Left Shoulder','Left Wrist','Left Hip','Left knee','Left Ankle','Right Shoulder','Right Wrist','Right Hip','Right knee','Right Ankle','Look Left','Look Right','Look Up/Down']\n",
    "    rows = []\n",
    "    numofrows = 10\n",
    "    count = 0\n",
    "\n",
    "    cap = cv2.VideoCapture(video)\n",
    "    with mp_pose.Pose(min_detection_confidence=0.5, min_tracking_confidence=0.5) as pose:\n",
    "        if (cap.isOpened() == False):\n",
    "            print(\"Cannot open video\")\n",
    "        else:\n",
    "            print(\"Video Opened\")\n",
    "\n",
    "        while cap.isOpened():\n",
    "            ret, frame = cap.read()\n",
    "\n",
    "            if ret == True:\n",
    "                image = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)\n",
    "                image.flags.writeable = False\n",
    "\n",
    "                results = pose.process(image)\n",
    "\n",
    "                image.flags.writeable = True\n",
    "                image = cv2.cvtColor(image, cv2.COLOR_RGB2BGR)\n",
    "\n",
    "\n",
    "                try:\n",
    "                    landmarks = results.pose_landmarks.landmark\n",
    "                    \n",
    "                    NOSE = [landmarks[mp_pose.PoseLandmark.NOSE.value].x,landmarks[mp_pose.PoseLandmark.NOSE.value].y,landmarks[mp_pose.PoseLandmark.NOSE.value].visibility]\n",
    "                    LEFT_EYE_INNER = [landmarks[mp_pose.PoseLandmark.LEFT_EYE_INNER.value].x,landmarks[mp_pose.PoseLandmark.LEFT_EYE_INNER.value].y,landmarks[mp_pose.PoseLandmark.LEFT_EYE_INNER.value].visibility]\n",
    "                    LEFT_EYE = [landmarks[mp_pose.PoseLandmark.LEFT_EYE.value].x,landmarks[mp_pose.PoseLandmark.LEFT_EYE.value].y,landmarks[mp_pose.PoseLandmark.LEFT_EYE.value].visibility]\n",
    "                    LEFT_EYE_OUTER = [landmarks[mp_pose.PoseLandmark.LEFT_EYE_OUTER.value].x,landmarks[mp_pose.PoseLandmark.LEFT_EYE_OUTER.value].y,landmarks[mp_pose.PoseLandmark.LEFT_EYE_OUTER.value].visibility]\n",
    "                    RIGHT_EYE_INNER = [landmarks[mp_pose.PoseLandmark.RIGHT_EYE_INNER.value].x,landmarks[mp_pose.PoseLandmark.RIGHT_EYE_INNER.value].y,landmarks[mp_pose.PoseLandmark.RIGHT_EYE_INNER.value].visibility]\n",
    "                    RIGHT_EYE = [landmarks[mp_pose.PoseLandmark.RIGHT_EYE.value].x,landmarks[mp_pose.PoseLandmark.RIGHT_EYE.value].y,landmarks[mp_pose.PoseLandmark.RIGHT_EYE.value].visibility]\n",
    "                    RIGHT_EYE_OUTER = [landmarks[mp_pose.PoseLandmark.RIGHT_EYE_OUTER.value].x,landmarks[mp_pose.PoseLandmark.RIGHT_EYE_OUTER.value].y,landmarks[mp_pose.PoseLandmark.RIGHT_EYE_OUTER.value].visibility]\n",
    "                    LEFT_EAR = [landmarks[mp_pose.PoseLandmark.LEFT_EAR.value].x,landmarks[mp_pose.PoseLandmark.LEFT_EAR.value].y,landmarks[mp_pose.PoseLandmark.LEFT_EAR.value].visibility]\n",
    "                    RIGHT_EAR = [landmarks[mp_pose.PoseLandmark.RIGHT_EAR.value].x,landmarks[mp_pose.PoseLandmark.RIGHT_EAR.value].y,landmarks[mp_pose.PoseLandmark.RIGHT_EAR.value].visibility]\n",
    "                    MOUTH_LEFT = [landmarks[mp_pose.PoseLandmark.MOUTH_LEFT.value].x,landmarks[mp_pose.PoseLandmark.MOUTH_LEFT.value].y,landmarks[mp_pose.PoseLandmark.MOUTH_LEFT.value].visibility]\n",
    "                    MOUTH_RIGHT = [landmarks[mp_pose.PoseLandmark.MOUTH_RIGHT.value].x,landmarks[mp_pose.PoseLandmark.MOUTH_RIGHT.value].y,landmarks[mp_pose.PoseLandmark.MOUTH_RIGHT.value].visibility]\n",
    "                    LEFT_SHOULDER = [landmarks[mp_pose.PoseLandmark.LEFT_SHOULDER.value].x,landmarks[mp_pose.PoseLandmark.LEFT_SHOULDER.value].y,landmarks[mp_pose.PoseLandmark.LEFT_SHOULDER.value].visibility]\n",
    "                    RIGHT_SHOULDER = [landmarks[mp_pose.PoseLandmark.RIGHT_SHOULDER.value].x,landmarks[mp_pose.PoseLandmark.RIGHT_SHOULDER.value].y,landmarks[mp_pose.PoseLandmark.RIGHT_SHOULDER.value].visibility]\n",
    "                    LEFT_ELBOW = [landmarks[mp_pose.PoseLandmark.LEFT_ELBOW.value].x,landmarks[mp_pose.PoseLandmark.LEFT_ELBOW.value].y]\n",
    "                    RIGHT_ELBOW = [landmarks[mp_pose.PoseLandmark.RIGHT_ELBOW.value].x,landmarks[mp_pose.PoseLandmark.RIGHT_ELBOW.value].y,landmarks[mp_pose.PoseLandmark.RIGHT_ELBOW.value].visibility]\n",
    "                    LEFT_WRIST = [landmarks[mp_pose.PoseLandmark.LEFT_WRIST.value].x,landmarks[mp_pose.PoseLandmark.LEFT_WRIST.value].y,landmarks[mp_pose.PoseLandmark.LEFT_WRIST.value].visibility]\n",
    "                    RIGHT_WRIST = [landmarks[mp_pose.PoseLandmark.RIGHT_WRIST.value].x,landmarks[mp_pose.PoseLandmark.RIGHT_WRIST.value].y,landmarks[mp_pose.PoseLandmark.RIGHT_WRIST.value].visibility]\n",
    "                    LEFT_PINKY = [landmarks[mp_pose.PoseLandmark.LEFT_PINKY.value].x,landmarks[mp_pose.PoseLandmark.LEFT_PINKY.value].y,landmarks[mp_pose.PoseLandmark.LEFT_PINKY.value].visibility]\n",
    "                    RIGHT_PINKY = [landmarks[mp_pose.PoseLandmark.RIGHT_PINKY.value].x,landmarks[mp_pose.PoseLandmark.RIGHT_PINKY.value].y,landmarks[mp_pose.PoseLandmark.RIGHT_PINKY.value].visibility]\n",
    "                    LEFT_INDEX = [landmarks[mp_pose.PoseLandmark.LEFT_INDEX.value].x,landmarks[mp_pose.PoseLandmark.LEFT_INDEX.value].y,landmarks[mp_pose.PoseLandmark.LEFT_INDEX.value].visibility]\n",
    "                    RIGHT_INDEX = [landmarks[mp_pose.PoseLandmark.RIGHT_INDEX.value].x,landmarks[mp_pose.PoseLandmark.RIGHT_INDEX.value].y,landmarks[mp_pose.PoseLandmark.RIGHT_INDEX.value].visibility]\n",
    "                    LEFT_THUMB = [landmarks[mp_pose.PoseLandmark.LEFT_THUMB.value].x,landmarks[mp_pose.PoseLandmark.LEFT_THUMB.value].y,landmarks[mp_pose.PoseLandmark.LEFT_THUMB.value].visibility]\n",
    "                    RIGHT_THUMB = [landmarks[mp_pose.PoseLandmark.RIGHT_THUMB.value].x,landmarks[mp_pose.PoseLandmark.RIGHT_THUMB.value].y,landmarks[mp_pose.PoseLandmark.RIGHT_THUMB.value].visibility]\n",
    "                    LEFT_HIP = [landmarks[mp_pose.PoseLandmark.LEFT_HIP.value].x,landmarks[mp_pose.PoseLandmark.LEFT_HIP.value].y,landmarks[mp_pose.PoseLandmark.LEFT_HIP.value].visibility]\n",
    "                    RIGHT_HIP = [landmarks[mp_pose.PoseLandmark.RIGHT_HIP.value].x,landmarks[mp_pose.PoseLandmark.RIGHT_HIP.value].y,landmarks[mp_pose.PoseLandmark.RIGHT_HIP.value].visibility]\n",
    "                    LEFT_KNEE = [landmarks[mp_pose.PoseLandmark.LEFT_KNEE.value].x,landmarks[mp_pose.PoseLandmark.LEFT_KNEE.value].y,landmarks[mp_pose.PoseLandmark.LEFT_KNEE.value].visibility]\n",
    "                    RIGHT_KNEE = [landmarks[mp_pose.PoseLandmark.RIGHT_KNEE.value].x,landmarks[mp_pose.PoseLandmark.RIGHT_KNEE.value].y,landmarks[mp_pose.PoseLandmark.RIGHT_KNEE.value].visibility]\n",
    "                    LEFT_ANKLE = [landmarks[mp_pose.PoseLandmark.LEFT_ANKLE.value].x,landmarks[mp_pose.PoseLandmark.LEFT_ANKLE.value].y,landmarks[mp_pose.PoseLandmark.LEFT_ANKLE.value].visibility]\n",
    "                    RIGHT_ANKLE = [landmarks[mp_pose.PoseLandmark.RIGHT_ANKLE.value].x,landmarks[mp_pose.PoseLandmark.RIGHT_ANKLE.value].y,landmarks[mp_pose.PoseLandmark.RIGHT_ANKLE.value].visibility]\n",
    "                    LEFT_HEEL = [landmarks[mp_pose.PoseLandmark.LEFT_HEEL.value].x,landmarks[mp_pose.PoseLandmark.LEFT_HEEL.value].y,landmarks[mp_pose.PoseLandmark.LEFT_HEEL.value].visibility]\n",
    "                    RIGHT_HEEL = [landmarks[mp_pose.PoseLandmark.RIGHT_HEEL.value].x,landmarks[mp_pose.PoseLandmark.RIGHT_HEEL.value].y,landmarks[mp_pose.PoseLandmark.RIGHT_HEEL.value].visibility]\n",
    "                    LEFT_FOOT_INDEX = [landmarks[mp_pose.PoseLandmark.LEFT_FOOT_INDEX.value].x,landmarks[mp_pose.PoseLandmark.LEFT_FOOT_INDEX.value].y,landmarks[mp_pose.PoseLandmark.LEFT_FOOT_INDEX.value].visibility]\n",
    "                    RIGHT_FOOT_INDEX = [landmarks[mp_pose.PoseLandmark.RIGHT_FOOT_INDEX.value].x,landmarks[mp_pose.PoseLandmark.RIGHT_FOOT_INDEX.value].y,landmarks[mp_pose.PoseLandmark.RIGHT_FOOT_INDEX.value].visibility]\n",
    "                    \n",
    "#                     col = {'frame': count,\n",
    "#                     'NOSE': landmarks[mp_pose.PoseLandmark.NOSE],\n",
    "#                     'LEFT_EYE_INNER': landmarks[mp_pose.PoseLandmark.LEFT_EYE_INNER],\n",
    "#                     'LEFT_EYE': landmarks[mp_pose.PoseLandmark.LEFT_EYE],\n",
    "#                     'LEFT_EYE_OUTER': landmarks[mp_pose.PoseLandmark.LEFT_EYE_OUTER],\n",
    "#                     'RIGHT_EYE_INNER': landmarks[mp_pose.PoseLandmark.RIGHT_EYE_INNER],\n",
    "#                     'RIGHT_EYE': landmarks[mp_pose.PoseLandmark.RIGHT_EYE],\n",
    "#                     'RIGHT_EYE_OUTER': landmarks[mp_pose.PoseLandmark.RIGHT_EYE_OUTER],\n",
    "#                     'LEFT_EAR': landmarks[mp_pose.PoseLandmark.LEFT_EAR],\n",
    "#                     'RIGHT_EAR': landmarks[mp_pose.PoseLandmark.RIGHT_EAR],\n",
    "#                     'MOUTH_LEFT': landmarks[mp_pose.PoseLandmark.MOUTH_LEFT],\n",
    "#                     'MOUTH_RIGHT': landmarks[mp_pose.PoseLandmark.MOUTH_RIGHT],\n",
    "#                     'LEFT_SHOULDER': landmarks[mp_pose.PoseLandmark.LEFT_SHOULDER],\n",
    "#                     'RIGHT_SHOULDER': landmarks[mp_pose.PoseLandmark.RIGHT_SHOULDER],\n",
    "#                     'LEFT_ELBOW': landmarks[mp_pose.PoseLandmark.LEFT_ELBOW],\n",
    "#                     'RIGHT_ELBOW': landmarks[mp_pose.PoseLandmark.RIGHT_ELBOW],\n",
    "#                     'LEFT_WRIST': landmarks[mp_pose.PoseLandmark.LEFT_WRIST],\n",
    "#                     'RIGHT_WRIST': landmarks[mp_pose.PoseLandmark.RIGHT_WRIST],\n",
    "#                     'LEFT_PINKY': landmarks[mp_pose.PoseLandmark.LEFT_PINKY],\n",
    "#                     'RIGHT_PINKY': landmarks[mp_pose.PoseLandmark.RIGHT_PINKY],\n",
    "#                     'LEFT_INDEX': landmarks[mp_pose.PoseLandmark.LEFT_INDEX],\n",
    "#                     'RIGHT_INDEX': landmarks[mp_pose.PoseLandmark.RIGHT_INDEX],\n",
    "#                     'LEFT_THUMB': landmarks[mp_pose.PoseLandmark.LEFT_THUMB],\n",
    "#                     'RIGHT_THUMB': landmarks[mp_pose.PoseLandmark.RIGHT_THUMB],\n",
    "#                     'LEFT_HIP': landmarks[mp_pose.PoseLandmark.LEFT_HIP],\n",
    "#                     'RIGHT_HIP': landmarks[mp_pose.PoseLandmark.RIGHT_HIP],\n",
    "#                     'LEFT_KNEE': landmarks[mp_pose.PoseLandmark.LEFT_KNEE],\n",
    "#                     'RIGHT_KNEE': landmarks[mp_pose.PoseLandmark.RIGHT_KNEE],\n",
    "#                     'LEFT_ANKLE': landmarks[mp_pose.PoseLandmark.LEFT_ANKLE],\n",
    "#                     'RIGHT_ANKLE': landmarks[mp_pose.PoseLandmark.RIGHT_ANKLE],\n",
    "#                     'LEFT_HEEL': landmarks[mp_pose.PoseLandmark.LEFT_HEEL],\n",
    "#                     'RIGHT_HEEL': landmarks[mp_pose.PoseLandmark.RIGHT_HEEL],\n",
    "#                     'LEFT_FOOT_INDEX': landmarks[mp_pose.PoseLandmark.LEFT_FOOT_INDEX],\n",
    "#                     'RIGHT_FOOT_INDEX': landmarks[mp_pose.PoseLandmark.RIGHT_FOOT_INDEX]}\n",
    "                    col = {'frame':count,\n",
    "                    'Left Elbow':calculate_angle(LEFT_SHOULDER,LEFT_ELBOW,LEFT_WRIST),\n",
    "                    'Right Elbow':calculate_angle(RIGHT_SHOULDER,RIGHT_ELBOW,RIGHT_WRIST),\n",
    "                    'Left Shoulder':calculate_angle(LEFT_HIP,LEFT_SHOULDER,LEFT_ELBOW),\n",
    "                    'Left Wrist':calculate_angle(LEFT_ELBOW,LEFT_WRIST,LEFT_PINKY),\n",
    "                    'Left Hip':calculate_angle(LEFT_KNEE,LEFT_HIP,LEFT_SHOULDER),\n",
    "                    'Left knee':calculate_angle(LEFT_HIP,LEFT_KNEE,LEFT_ANKLE),\n",
    "                    'Left Ankle':calculate_angle(LEFT_KNEE,LEFT_ANKLE,LEFT_FOOT_INDEX),\n",
    "                    'Right Shoulder':calculate_angle(LEFT_HIP,LEFT_SHOULDER,LEFT_ELBOW),\n",
    "                    'Right Wrist':calculate_angle(RIGHT_ELBOW,RIGHT_WRIST,RIGHT_PINKY),\n",
    "                    'Right Hip':calculate_angle(RIGHT_KNEE,RIGHT_HIP,RIGHT_SHOULDER),\n",
    "                    'Right knee':calculate_angle(RIGHT_HIP,RIGHT_KNEE,RIGHT_ANKLE),\n",
    "                    'Right Ankle':calculate_angle(RIGHT_KNEE,RIGHT_ANKLE,RIGHT_FOOT_INDEX),\n",
    "                    'Look Left':calculate_angle(LEFT_SHOULDER,NOSE,LEFT_EAR),\n",
    "                    'Look Right':calculate_angle(RIGHT_SHOULDER,NOSE,RIGHT_EAR),\n",
    "                    'Look Up/Down':calculate_angle(RIGHT_SHOULDER,NOSE,LEFT_SHOULDER)}\n",
    "                    rows.append(col)\n",
    "                    count += 1\n",
    "                    \n",
    "#                     print('Left Elbow',calculate_angle(LEFT_SHOULDER,LEFT_ELBOW,LEFT_WRIST))\n",
    "#                     print('Right Elbow',calculate_angle(RIGHT_SHOULDER,RIGHT_ELBOW,RIGHT_WRIST))\n",
    "#                     print('Left Shoulder',calculate_angle(LEFT_HIP,LEFT_SHOULDER,LEFT_ELBOW))\n",
    "#                     print('Left Wrist',calculate_angle(LEFT_ELBOW,LEFT_WRIST,LEFT_PINKY))\n",
    "#                     print('Left Hip',calculate_angle(LEFT_KNEE,LEFT_HIP,LEFT_SHOULDER))\n",
    "#                     print('Left knee',calculate_angle(LEFT_HIP,LEFT_KNEE,LEFT_ANKLE))\n",
    "#                     print('Left Ankle',calculate_angle(LEFT_KNEE,LEFT_ANKLE,LEFT_FOOT_INDEX))\n",
    "#                     print('Right Shoulder',calculate_angle(LEFT_HIP,LEFT_SHOULDER,LEFT_ELBOW))\n",
    "#                     print('Right Wrist',calculate_angle(RIGHT_ELBOW,RIGHT_WRIST,RIGHT_PINKY))\n",
    "#                     print('Right Hip',calculate_angle(RIGHT_KNEE,RIGHT_HIP,RIGHT_SHOULDER))\n",
    "#                     print('Right knee',calculate_angle(RIGHT_HIP,RIGHT_KNEE,RIGHT_ANKLE))\n",
    "#                     print('Right Ankle',calculate_angle(RIGHT_KNEE,RIGHT_ANKLE,RIGHT_FOOT_INDEX))\n",
    "#                     print('Look Left',calculate_angle(LEFT_SHOULDER,NOSE,LEFT_EAR))\n",
    "#                     print('Look Right',calculate_angle(RIGHT_SHOULDER,NOSE,RIGHT_EAR))\n",
    "#                     print('Look Up/Down',calculate_angle(RIGHT_SHOULDER,NOSE,LEFT_SHOULDER))\n",
    "\n",
    "                    angle = calculate_angle(LEFT_SHOULDER,LEFT_ELBOW,LEFT_WRIST)\n",
    "                    print(angle)\n",
    "\n",
    "                    cv2.putText(image,str(angle),\n",
    "                                tuple(np.multiply(LEFT_ELBOW,[640,480]).asType(int)),\n",
    "                                0.5, (255,255,255), 2, cv2.LINE_AA\n",
    "                               )\n",
    "                    \n",
    "                    \n",
    "                except:\n",
    "                    pass\n",
    "\n",
    "                mp_drawing.draw_landmarks(image, results.pose_landmarks, mp_pose.POSE_CONNECTIONS)\n",
    "\n",
    "                cv2.imshow('Motion Learn Training View', image)\n",
    "\n",
    "\n",
    "                if cv2.waitKey(10) & 0xFF == ord('q'):\n",
    "                    with open(tuteID+'.csv', 'w', encoding='UTF8', newline='') as f:\n",
    "                        writer = csv.DictWriter(f, fieldnames=fieldnames)\n",
    "                        writer.writeheader()\n",
    "                        writer.writerows(rows)\n",
    "                    break\n",
    "\n",
    "            else :\n",
    "                with open(tuteID+'.csv', 'w', encoding='UTF8', newline='') as f:\n",
    "                        writer = csv.DictWriter(f, fieldnames=fieldnames)\n",
    "                        writer.writeheader()\n",
    "                        writer.writerows(rows)\n",
    "                break\n",
    "    \n",
    "    cap.release()\n",
    "    cv2.destroyAllWindows()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Video Opened\n",
      "129.65977889806663\n",
      "130.20196925973534\n",
      "130.55638028318148\n",
      "130.75745932507655\n",
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      "131.2714217000552\n",
      "131.32598032080784\n",
      "131.38399697476987\n",
      "131.47545729102072\n",
      "131.51306559951385\n",
      "131.54677701764558\n",
      "131.57915621694144\n",
      "131.61855872020175\n",
      "131.64927643102934\n",
      "131.67623904577547\n",
      "131.7172601542433\n",
      "131.73933105178136\n",
      "131.7623130079069\n",
      "131.7836888134848\n",
      "131.79360405902773\n",
      "131.7836291206121\n",
      "131.77821223326606\n",
      "131.82085657830203\n",
      "136.58164680649682\n",
      "133.10932676896826\n",
      "132.72593868828878\n",
      "132.29330513424074\n",
      "132.89334682445502\n",
      "133.6878652543853\n",
      "133.69255544814328\n",
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