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.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, handNumber=0, draw=True):

        lmList = []
        if self.results.multi_hand_landmarks:
            myHand = self.results.multi_hand_landmarks[handNumber]
            for id, landmarksCoord in enumerate(myHand.landmark):
                height, width, channel = img.shape
                cx, cy = int(landmarksCoord.x * width), int(landmarksCoord.y * height)
                lmList.append([id, cx, cy])
                if draw:
                    cv2.circle(
                        img,
                        (cx, cy),
                        5,
                        (255, 0, 255),
                        cv2.FILLED)
        return lmList



def main():
    previousTime = 0
    currentTime = 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])
        currentTime = time.time()
        fps = 1 / (currentTime - previousTime)
        previousTime = currentTime
        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()