-
Notifications
You must be signed in to change notification settings - Fork 0
/
Hand_tracking_machine.py
53 lines (41 loc) · 1.32 KB
/
Hand_tracking_machine.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
import mediapipe as mp
import cv2
import time
cap = cv2.VideoCapture(0)
mpHands= mp.solutions.hands
hands=mpHands.Hands()
mpDraw = mp.solutions.drawing_utils
pTime=0
cTime=0
while True:
success,img = cap.read()
imgRGB= cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
results= hands.process(imgRGB)
# print(results.multi_hand_landmarks)
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
# cx, cy = int(lm.x*w),int(lm.y*h)
# print(id,cx,cy)
# # if id==2:
# cv2.circle(img, (cx,cy),5,(255,0,255),cv2.FILLED)
mpDraw.draw_landmarks(img, handLms, mpHands.HAND_CONNECTIONS) # in this mpHands.HAND_CONNECTION is for joining dots
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)
cv2.waitKey(1)
"""
# if just you want to access the webcam then we have code below:
import cv2
import mediapipe as mp
import time
cap = cv2.VideoCapture(0)
while True:
success,img = cap.read()
cv2.imshow("Image",img)
cv2.waitKey(1)
"""