Intelli/HandTrackingModule.py at main · Chathurya99/Intelli · GitHub

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import cv2
import mediapipe as mp
import time
import math

class handDetector():
    def __init__(self,mode=False,maxHands=1,modelComplexity=1,detectionCon=0.5,trackCon=0.5):
        self.mode=mode
        self.maxHands=maxHands
        self.modelComplex = modelComplexity
        self.detectionCon = detectionCon
        self.trackCon = trackCon

        self.mpHands = mp.solutions.hands
        self.hands = self.mpHands.Hands(self.mode,self.maxHands,self.modelComplex,self.detectionCon,self.trackCon)
        self.mpDraw = mp.solutions.drawing_utils

    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):
                #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),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,(bbox[0]-20,bbox[1]-20),(bbox[2]+20,bbox[3]+20),(0,255,0),2)

        return self.lmList, bbox

    def fingersUp(self):
        fingers = []
        self.tipIds = [4, 8, 12, 16, 20]

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

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

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

        #7th below 5 for previous gesture
        if self.lmList[7][2] > self.lmList[5][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

        # drawing a circle and line
        if draw:
            cv2.circle(img, (x1, y1), 15, (255, 0, 255), cv2.FILLED)
            cv2.circle(img, (x2, y2), 15, (255, 0, 255), cv2.FILLED)
            cv2.line(img, (x1, y1), (x2, y2), (255, 0, 255), 3)
            cv2.circle(img, (cx, cy), 15, (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,draw=False)

        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)

        # image = cv2.flip(img,1)
        cv2.imshow("Image", img)
        if cv2.waitKey(1) == 27:
            cv2.destroyAllWindows()
            cap.release()
            break

if __name__ == "__main__":
    main()