hand_track_module.py

import cv2
import mediapipe as mp
import time
import math

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

        self.mpHands = mp.solutions.hands
        self.hands = self.mpHands.Hands(self.mode,self.maxHands,self.model_complexity,
            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.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):
        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)
                # print(id,cx,cy)
                self.lmList.append([id,cx,cy])
                if draw:
                    cv2.circle(img,(cx,cy),8,(255,0,0),cv2.FILLED)

        return self.lmList


    def fingersUp(self):
        fingers = []
        if self.lmList [self.tipIds [4]] [2] < self.lmList [self.tipIds [3]] [2]:
            fingers.append(1)
        else:
            fingers.append(0)

        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,r=15,t=3):
        x1,y1 = self.lmList [4] [1],self,lmList [4] [2]
        x2,y2 = self.lmList [8] [1],self.lmList [8] [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),7,(255,0,0),cv2.FILLED)
            cv2.circle(img,(x2,y2),7,(255,0,0),cv2.FILLED)
            cv2.circle(img,(cx,cy),7,(255,0,0),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,cv2.CAP_DSHOW)
    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)
        if cv2.waitKey(1) & 0xFF == ord('q'):
            break


if __name__ == "__main__":
    main()