handtrackingmodule.py

import cv2
import mediapipe as mp
import time
import math
import numpy as np

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

        self.mpHands = mp.solutions.hands
        self.hands = self.mpHands.Hands()
        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):
        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):
                h,w,c = img.shape
                cx, cy = int(lm.x*w), int(lm.y*w)
                xList.append(cx)
                yList.append(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,(xmin-20,ymin-20),(xmax+20,ymax+20),(0,255,0),2)
        return self.lmList,bbox

    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)

        # 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)

        # totalFingers = fingers.count(1) 
        return fingers
    def findDistance(self,p1,p2,img,draw=True,r=15,t=3):
        
        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.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,(0,0,255),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,bbox=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,(255,8,8),3)

        # 12. display
        cv2.imshow('image',img)
        cv2.waitKey(1)

if __name__=="__main__":
    main()