handTrackingModule.py

import cv2
import mediapipe as mp
import time
import math

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
        self.tipIds = [4, 8, 12, 16, 20]

    def findHands(self,img,draw=True):
        imgRGB = cv2.cvtColor(img,cv2.COLOR_BGR2RGB)
        self.Result = self.hands.process(imgRGB)
        #print(Result.multi_hand_landmarks)

        if self.Result.multi_hand_landmarks:
            for handLms in self.Result.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.Result.multi_hand_landmarks:
            myHand = self.Result.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),10,(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

    def fingersUp(self):
        fingers = []
        #thumb
        if self.lmList[self.tipIds[0]][1] > self.lmList[self.tipIds[0]-1][1]:
            fingers.append(1)
        else:
            fingers.append(0)
        # 4 fingers
        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 findDistance(self,p1,p2,img,draw=True):
        x1,y1 = self.lmList[p1][1], self.lmList[p1][2]
        x2,y2 = self.lmList[p2][1], self.lmList[p2][2]
        cx,cy = (x1+x2)//2, (y1+y2)//2

        if draw:
            cv2.circle(img,(x1,y1),5,(255,0,0),cv2.FILLED)
            cv2.circle(img,(x2,y2),5,(255,0,0),cv2.FILLED)
            cv2.line(img,(x1,y1),(x2,y2),(255,0,0),2)
            cv2.circle(img,(cx,cy),5,(255,0,0),cv2.FILLED)

        length = math.hypot(x2-x1,y2-y1)
        #print(length)
        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,"FPS"+str(int(fps)),(10,70),cv2.FONT_HERSHEY_COMPLEX_SMALL,3,(255,0,255),2)

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


if __name__ == "__main__":
    main()