Hand_Tracking_Module.py

import cv2
import mediapipe as mp

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, min_detection_confidence=float(self.detectionCon), min_tracking_confidence=float(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):
        imgRGB = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
        self.results = self.hands.process(imgRGB)
        xList = []
        yList = []
        bbox = []
        self.lmList = []
        if self.results.multi_hand_landmarks:
            myHand = self.results.multi_hand_landmarks[handNo]
            for id, lm in enumerate(myHand.landmark):
                # print(id, lm)
                h, w, c = img.shape
                cx, cy = int(lm.x * w), int(lm.y * h)
                xList.append(cx)
                yList.append(cy)
                # print(id, cx, cy)
                self.lmList.append([id, cx, cy])
                if draw:
                    cv2.circle(img, (cx, cy), 5, (255, 0, 255), cv2.FILLED)
            xmin, xmax = min(xList), max(xList)
            ymin, ymax = min(yList), max(yList)
            bbox = xmin, ymin, xmax, ymax

            if draw:
                cv2.rectangle(img, (bbox[0] - 20, bbox[1] - 20),
            (bbox[2] + 20, bbox[3] + 20), (0, 255, 0), 2)
        
        return self.lmList, bbox


# def main():
#     pTime = 0
#     cap = cv2.VideoCapture(0)
#     detector = handDetector()
#     while True:
#         success, img = cap.read()
#         if not success or img is None:
#             continue
#         img = detector.findHands(img)
#         lmList, bbox = detector.findPosition(img)
#         if len(lmList) != 0:
#             print(lmList[4])
#             print(bbox)
    
#         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()