HandTrackingModule.py

import cv2
import mediapipe as mp
import time

class HandDetector():
    def __init__(self,mode=False,maxHands=2,detectionCon=0.5,trackCon=0.5):
        self.results = None
        self.mode = mode
        self.maxHands = maxHands
        self.detectionCon = detectionCon
        self.trackCon = trackCon

        self.mpHands = mp.solutions.hands
        self.hands = self.mpHands.Hands(static_image_mode=self.mode,
                                        max_num_hands=self.maxHands,
                                        min_detection_confidence=self.detectionCon,
                                        min_tracking_confidence=self.trackCon)

        self.mpDraw = mp.solutions.drawing_utils
        self.tipIds = [4,8,12,16,20]

    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):
        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), 15, (255,0,255), cv2.FILLED)

        return self.lmList

    def fingersUp(self):
        fingers = []
        if len(self.lmList)!=0:
            if self.lmList[4][1] < self.lmList[3][1]:
                fingers.append(1)
            else:
                fingers.append(0)
            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)
        cTime = time.time()
        fps = 1 / (cTime - pTime) if cTime != pTime else 0
        pTime = cTime

        cv2.putText(img, f'FPS: {int(fps)}', (10, 70),
                    cv2.FONT_HERSHEY_PLAIN, 3, (255, 0, 255), 3)
        cv2.imshow("Image", img)
        cv2.waitKey(1)

if __name__ == "__main__":
    main()