text: import cv2
  import mediapipe as mp
  import time
  
  
  class handDetector():
      def __init__(self, mode=False, maxHands=2, detectionCon=0.5, trackCon=0.5):
          self.mode = mode
          self.maxHands = maxHands
          self.detectionCon = detectionCon
          self.trackCon = trackCon
  
          self.mpHands = mp.solutions.hands
          self.hands = self.mpHands.Hands(self.mode, self.maxHands,
                                          self.detectionCon, self.trackCon)
          self.mpDraw = mp.solutions.drawing_utils
  
      def findHands(self, img, draw=True):
          imgRGB = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
          self.results = self.hands.process(imgRGB)
  
          if self.results.multi_hand_landmarks:
              for handLms in self.results.multi_hand_landmarks:
                  if draw:
                      self.mpDraw.draw_landmarks(img, handLms,
                                                 self.mpHands.HAND_CONNECTIONS)
          return img
  
      def findPosition(self, img, handNo=0, draw=True):
  
          lmList = []
          if self.results.multi_hand_landmarks:
              myHand = self.results.multi_hand_landmarks[handNo]
              for id, lm in enumerate(myHand.landmark):
  
                  h, w, c = img.shape
                  cx, cy = int(lm.x * w), int(lm.y * h)
  
                  lmList.append([id, cx, cy])
                  if draw:
                      cv2.circle(img, (cx, cy), 15, (255, 0, 255), cv2.FILLED)
  
          return lmList
  
  
  def main():
      pTime = 0
      cTime = 0
      cap = cv2.VideoCapture(1)
      detector = handDetector()
      while True:
          success, img = cap.read()
          img = detector.findHands(img)
          lmList = detector.findPosition(img)
          if len(lmList) != 0:
              print(lmList[4])
  
          cTime = time.time()
          fps = 1 / (cTime - pTime)
          pTime = cTime
  
          cv2.putText(img, str(int(fps)), (10, 70), cv2.FONT_HERSHEY_PLAIN, 3,
                      (255, 0, 255), 3)
  
          cv2.imshow("Image", img)
          cv2.waitKey(1)
  
  
  if __name__ == "__main__":
      main()