HandTrackingModule.py

import cv2
import mediapipe as mp
import time

class handDetector():
    def __init__(self, mode = False, maxHands = 2, complexity = 1, detectionConfidence = 0.5, trackConfidence = 0.5):
        self.mode = mode
        self.maxHands = maxHands
        self.complexity = complexity
        self.detectionConfidence = detectionConfidence
        self.trackConfidence = trackConfidence

        # find location of points along hand
        self.mpHands = mp.solutions.hands
        self.hands = self.mpHands.Hands(self.mode, self.maxHands, self.complexity, self.detectionConfidence, self.trackConfidence)
        self.mpDraw = mp.solutions.drawing_utils 

        self.tipIds = [4, 8, 12, 16, 20] #fingertips

    def findHands(self, img, draw=True): 
        imgRGB = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
        self.results = self.hands.process(imgRGB) 

        # find locations of dots/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):
        self.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)
                self.lmList.append([id, cx, cy])

                if draw:

                    cv2.circle(img, (cx, cy), 5, (0, 0, 255), cv2.FILLED)
        
        return self.lmList

    def fingersUp(self):
        fingers = []

        #thumb (check if hand is open or closed, 1 means open, 0 is closed)
        if self.lmList[self.tipIds[0]][1] > self.lmList[self.tipIds[0] - 1][1]:
            fingers.append(1)
        else:
            fingers.append(0)

        # fingers
        for id in range(1,5):
            if self.lmList[self.tipIds[id]][2] < self.lmList[self.tipIds[id] - 2][2]:
                fingers.append(1)
            else:
                fingers.append(0)

        return fingers


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])

        # fps counter
        cTime = time.time()
        fps = 1/(cTime-pTime)
        pTime = cTime

        cv2.putText(img, str(int(fps)), (10,35), cv2.FONT_HERSHEY_SCRIPT_SIMPLEX, 1, (0, 0, 0), 3)

        cv2.imshow("Image", img)
        cv2.waitKey(1)

if __name__ == "__main__":
    main()