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Hand_Tracking_OpenCV.py

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import cv2

import mediapipe as mp

import time

#using webcam 1

cap=cv2.VideoCapture(0)

#for using model

mpHands=mp.solutions.hands

hands=mpHands.Hands()

mpDraw=mp.solutions.drawing_utils

#for checking frame rate

pTime=0

cTime=0

while True:

#video capturing

success, img=cap.read()

#coverting image to RGB

imgRGB=cv2.cvtColor(img,cv2.COLOR_BGR2RGB)

#getting results after applying hand tracking module

results=hands.process(imgRGB)

# print(results.multi_hand_landmarks)

#drawing landmarks on multiple hands

if results.multi_hand_landmarks:

for handLms in results.multi_hand_landmarks:

for id,lm in enumerate(handLms.landmark):

#print(id,lm)

h,w,c=img.shape

#getting the coordinates

cx,cy=int(lm.x*w),int(lm.y*h)

print(id,cx,cy)

#drawing landmarks on multiple hands

mpDraw.draw_landmarks(img,handLms,mpHands.HAND_CONNECTIONS)

cTime=time.time()

fps=1/(cTime-pTime)

pTime=cTime

#printing fps on screen

cv2.putText(img,str(int(fps)),(10,70),cv2.FONT_HERSHEY_COMPLEX,3,(255,0,255),3)

#showing results

cv2.imshow("Image",img)

cv2.waitKey(1)