1.Hand Tracking

import cv2
import mediapipe as mp
import time

cap = cv2.VideoCapture(0)

mpHands = mp.solutions.hands
hands = mpHands.Hands()
mpDraw = mp.solutions.drawing_utils

pTime = 0
cTime = 0

while True:
    success, img = cap.read()
    imgRGB = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
    results = hands.process(imgRGB)
    print(results.multi_hand_landmarks)

    if results.multi_hand_landmarks:
        for handLms in results.multi_hand_landmarks:
            for id, lm in enumerate(handLms.landmark):
                # print(id, lm)
                h, w, c = img.shape
                cx, cy = int(lm.x*w), int(lm.y*h)
                print(id, cx, cy)
                if id == 0:
                    cv2.circle(img, (cx, cy), 25, (255, 0, 255), cv2.FILLED)

            mpDraw.draw_landmarks(img, handLms, mpHands.HAND_CONNECTIONS)

    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)

2.HandTracking Module

import cv2
import mediapipe as mp
import time

class handDetector():
    def __init__(self, mode=False, maxHands = 2, detecionCon = 0.5, trackCon = 0.5):
        self.mode = mode
        self.maxHands = maxHands
        self.detectionCon = detecionCon
        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)
        results = self.hands.process(imgRGB)
        print(results.multi_hand_landmarks)

        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(handLms.landmark):
                # print(id, lm)
                h, w, c = img.shape
                cx, cy = int(lm.x*w), int(lm.y*h)
                print(id, cx, cy)
                lmList.append([id, cx, cy])
                if draw:
                    cv2.circle(img, (cx, cy), 25, (255, 0, 255), cv2.FILLED)
        return lmList


def main():
    pTime = 0
    cTime = 0
    cap = cv2.VideoCapture(0)
    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()

3.Use your own module

import cv2
import mediapipe as mp
import time
import HandTtrackingModule as htm

pTime = 0
cTime = 0
cap = cv2.VideoCapture(0)
detector = htm.handDetector
while True:
    success, img = cap.read()
    img = detector = findHands(img, draw = False)
    lmList = detector.findPosition(img, draw = False)
    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)

. . . . . . .