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

# ctrl+left lick

self.hands = self.mpHands.Hands(self.mode, self.maxHands, self.detectionCon, self.trackCon) # 4 hands

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) # draw hands in each detection

return img

def findPosition(self, img, handNo = 0, draw = True):

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)

lmList.append([id,cx,cy])

if draw:

cv2.circle(img, (cx,cy), 2, (255,0,255), cv2.FILLED)

pTime = 0

cTime = 0

cap = cv2.VideoCapture(0)

detector = handDetector()

while True:

success, img = cap.read()

img = detector.findHands(img)

lmList = detector.findPosition(img)

if len(lmList) != 0 :

print(lmList[0])

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)