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HandTrackingModule.py
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import cv2
import mediapipe as mp
import time
class HandDectector():
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,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 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 id==18:
if draw:
cv2.circle(img, (cx, cy), 7, (255, 0, 255), cv2.FILLED)
return lmList
def main():
pTime = 0
cTime = 0
# cap = cv2.VideoCapture(0,cv2.CAP_DSHOW)
cap = cv2.VideoCapture(0)
dectector = HandDectector()
while True:
success, img = cap.read()
img = dectector.findHands(img)
lmList = dectector.findPosition(img)
if len(lmList) != 0:
print(lmList)
cTime = time.time()
fps = 1 / (cTime - pTime)
pTime = cTime
cv2.putText(img, str(int(fps)), (10, 70), cv2.FONT_HERSHEY_PLAIN, 3, (255, 0, 0), 3)
cv2.imshow("Image :", img)
cv2.waitKey(1)
# cv2.destroyAllWindows()
if __name__=='__main__':
main()