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HandTrackingMain.py
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60 lines (48 loc) · 1.93 KB
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import cv2
import mediapipe as mp
# to check the frame rate
import time
# get the frame object
cap =cv2.VideoCapture(0)
# Detect the hand
# to get the details about functions arg and its definition, ctr and click by hovering over the defn
mpHands=mp.solutions.hands
# static_image_mode=False, means detecting the hand upon some threshold otherwise it won't be detected
# for this project all default value of Hands() method is fine for us
hands=mpHands.Hands()
# making function to draw handLandmarks
mpDraw = mp.solutions.drawing_utils
# tracking the frame rate
# previous time
pTime=0
# current Time
cTime=0
while True:
success,img=cap.read()
# since, Hands() object uses only RGB images
imgRGB=cv2.cvtColor(img,cv2.COLOR_BGR2RGB)
# process the frame and give the result
results=hands.process(imgRGB)
# print(results.multi_hand_landmarks)
if results.multi_hand_landmarks:
# loop over each hand Landmarks
for handLms in results.multi_hand_landmarks:
# grab each landmarks (21) and its position
for id, lm in enumerate(handLms.landmark):
# print(id,lm)
# get height , width and channel of image
h,w,c =img.shape
cx,cy=int(lm.x*w), int (lm.y*h)
print(id,cx,cy)
# now you can grab any landmark by its id and do operation on them
if id==4:
# drawing a cirle on id=4 with centre (cx,cy) and radius 15
cv2.circle(img,(cx,cy),15,(255,0,255),cv2.FILLED)
# draw hand landmarks using draw_landmarks function
mpDraw.draw_landmarks(img,handLms,mpHands.HAND_CONNECTIONS)
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 displaying..",img)
cv2.waitKey(1)