Ai_Virtual_Mouse/HandTrakingModule.py at main · anas-hizem/Ai_Virtual_Mouse · GitHub

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import cv2
import mediapipe as mp
import time
import math

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

        self.mode = mode
        self.maxHands = maxHands
        self.modleComplx = modelComblx
        self.detectonCon = detectionCon
        self.trackCon = trackCon

        self.mpHands = mp.solutions.hands
        self.hands = self.mpHands.Hands(self.mode, self.maxHands, self.modleComplx,  self.detectonCon, 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)
       #print(results.multi_hand_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):
        xList = []
        yList = []
        bbox = []

        self.lmList = []
        if self.results.multi_hand_landmarks:
            myHand = self.results.multi_hand_landmarks[handNO]
            for ip, lm in enumerate(myHand.landmark):
                # print(x, lm)
                h, w, c = img.shape
                cx, cy = int(lm.x * w), int(lm.y * h)
                xList.append(cx)
                yList.append(cy)
                # print(ip, cx, cy)
                self.lmList.append([ip, cx, cy])
                if draw:
                    # if ip==0:
                    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, (xmin - 20, ymin - 20), (xmax + 20, ymax + 20),
                              (0, 255, 0), 2)

            return self.lmList, bbox


        return self.lmList ,bbox

    def fingersUp(self):
        fingers = []
        if len(self.lmList) >= max(self.tipIds):
            # Thumb
            if self.lmList[self.tipIds[0]][1] > self.lmList[self.tipIds[0] - 1][1]:
                fingers.append(1)
            else:
                fingers.append(0)

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

        return fingers

    def findDistance (self , p1 , p2 , img , draw=True , r=15 , t=3) :
        x1 , y1 = self.lmList[p1][1:]
        x2 , y2 = self.lmList[p2][1:]
        cx , cy = (x1 + x2) // 2 , (y1 + y2) // 2

        if draw :
            cv2.line(img , (x1 , y1) , (x2 , y2) , (255 , 0 , 255) , t)
            cv2.circle(img , (x1 , y1) , r , (255 , 0 , 255) , cv2.FILLED)
            cv2.circle(img , (x2 , y2) , r , (255 , 0 , 255) , cv2.FILLED)
            cv2.circle(img , (cx , cy) , r , (255 , 0 , 255) , cv2.FILLED)
        length = math.hypot(x2 - x1 , y2 - y1)

        return length , img , [x1 , y1 , x2 , y2 ,cx , cy]


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])

        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()