handtrackingmodule.py

import cv2
import mediapipe as mp


class handDetector:
    def __init__(
        self, mode=False, maxHands=2, modelC=1, detectionCon=0.5, trackCon=0.5
    ):
        self.mode = mode
        self.maxHands = maxHands
        self.modelC = modelC
        self.detectionCon = detectionCon
        self.trackCon = trackCon

        self.mpHands = mp.solutions.hands
        self.hands = self.mpHands.Hands(
            self.mode, self.maxHands, self.modelC, self.detectionCon, self.trackCon
        )
        self.mpDraw = mp.solutions.drawing_utils

    def findHands(self, img, draw=True):
        imgRGB = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
        self.result = self.hands.process(imgRGB)
        if self.result.multi_hand_landmarks:
            for handLand in self.result.multi_hand_landmarks:
                if draw:
                    self.mpDraw.draw_landmarks(
                        img, handLand, self.mpHands.HAND_CONNECTIONS
                    )

        return img

    def findPosition(self, img, handNo=0, draw=True):
        PosList = []
        if self.result.multi_hand_landmarks:
            myHand = self.result.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)
                PosList.append([id, cx, cy])
                if draw:
                    cv2.circle(img, (cx, cy), 1, (255, 255, 255), cv2.FILLED)

        return PosList


def main():
    detector = handDetector()

    while True:
        success, img = cap.read()
        img = detector.findHands(img)
        PosList = detector.findPosition(img)


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


if __name__ == "__main__":
    main()