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HandTrackingModule.py
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HandTrackingModule.py
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import cv2 as cv
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
def findHands(self,img,flag=True):
imgRGB = cv.cvtColor(img, cv.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 flag:
self.mpDraw.draw_landmarks(img, HandLms, self.mpHands.HAND_CONNECTIONS)
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):
h,w,c = img.shape
cx,cy = int(lm.x*w), int(lm.y*h)
lmList.append([id,cx,cy])
#if draw:
#cv.circle(img, (cx,cy), 15,(255,0,255),cv.FILLED)
return lmList
def main():
cap = cv.VideoCapture(0)
detector = HandDetector()
while True:
success, img = cap.read()
img = detector.findHands(img)
lmList = detector.findPosition(img)
if len(lmList)!=0:
print(lmList[4])
cv.imshow("Image",img)
cv.waitKey(1)
if __name__ == "__main__":
main()