Hand_tracking.py

import cv2
import mediapipe as mp
import time
import math

class handDetector():
    def __init__(self, mode=False, maxHands = 2, detectionCon=0.5, modelComplexity=1, trackCon=0.5):
        self.mode=mode
        self.maxHands=maxHands
        self.modeComplex=modelComplexity
        self.detectionCon=detectionCon
        self.trackCon=trackCon
        self.mpHand = mp.solutions.hands
        self.hands = self.mpHand.Hands(self.mode, self.maxHands, self.modeComplex, 
                                        self.detectionCon, self.trackCon)
        self.mpDraw = mp.solutions.drawing_utils
        self.tipIds = [4, 8, 12, 16, 20]


    def findHands(self, frame, draw=True):
        imgRGB = cv2.cvtColor(frame, 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(frame, handLms, 
                                                self.mpHand.HAND_CONNECTIONS)

        return frame    


    def findPosition(self, frame, 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):
                h, w, c = frame.shape
                cx, cy = int(lm.x*w),int(lm.y*h)
                self.lmList.append([id, cx, cy])
                #print(id, cx, cy)
                if draw:
                    cv2.circle(frame,(cx,cy),7,(255,0,0),cv2.FILLED)

        return self.lmList

    def fingersUp(self):
        fingers = []
        if self.lmList[self.tipIds[0]][1] > self.lmList[self.tipIds[0] - 1][1]:
            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, frame, 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
        info = (x1, y1, x2, y2, cx, cy)
        length = math.hypot(x2 - x1, y2 - y1)

        if draw:
            cv2.line(frame, (x1, y1), (x2, y2), (255,0,255), t)
            cv2.circle(frame, (x1, y1), r, (255,0,255), cv2.FILLED)
            cv2.circle(frame, (x2, y2), r, (255,0,255), cv2.FILLED)
            cv2.circle(frame, (cx, cy), r, (0,0,255), cv2.FILLED)

        return length, info, frame        


def main():
    pTime = 0
    cTime = 0
    cap = cv2.VideoCapture(0)
    detector = handDetector()

    while True:
        success, frame = cap.read()
        frame = detector.findHands(frame)
        lmList = detector.findPosition(frame)
        if len(lmList) != 0:
            print(lmList[4])

        cTime = time.time()
        fps = 1/(cTime - pTime)
        pTime = cTime

        cv2.putText(frame, str(int(fps)), (10,70),cv2.FONT_HERSHEY_PLAIN,3,(255,0,255),3)
        cv2.imshow("Output", frame)

        if cv2.waitKey(1) & 0xFF == ord("e"):
            break 

    cap.release()
    cv2.destroyAllWindows()



if __name__ == "__main__":
    main()