<reponame>AcharyaRakesh/Raki-Gesture-Assist
import cv2
import numpy
import mediapipe as mp
import time


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.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 findimg(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 id == 8:
                if draw:
                  cv2.circle(img, (cx, cy), 20, (255, 255, 0), cv2.FILLED)
        return self.lmlist
    def fingertipUp(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 main():
    pTime = 0
    cTime = 0
    cap = cv2.VideoCapture(0)
    detector =handdetector()
    while True:
        sucess, img = cap.read()
        img =detector.findHands(img)
        lmlist =detector.findimg(img)
        if len(lmlist) !=0:
         print(lmlist[8])
        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)
        cv2.waitKey(1)

if __name__ == "__main__":
    main()


import cv2
import numpy
import mediapipe as mp
import time


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.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 findimg(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 id == 8:
                if draw:
                  cv2.circle(img, (cx, cy), 20, (255, 255, 0), cv2.FILLED)
        return self.lmlist
    def fingertipUp(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 main():
    pTime = 0
    cTime = 0
    cap = cv2.VideoCapture(0)
    detector =handdetector()
    while True:
        sucess, img = cap.read()
        img =detector.findHands(img)
        lmlist =detector.findimg(img)
        if len(lmlist) !=0:
         print(lmlist[8])
        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)
        cv2.waitKey(1)

if __name__ == "__main__":
    main()
#print(results.multi_hand_landmarks) # print(id,lm) #print(id, cx, cy) #if id == 8: