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Copy pathHandTrackingMin.py
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HandTrackingMin.py
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import cv2
import mediapipe as mp
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)
result = hands.process(imgRGB)
#print(result.multi_hand_landmarks)
if result.multi_hand_landmarks:
for handLms in result.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 == 4:
# cv2.circle(img, (cx,cy), 10, (255,0,255),cv2.FILLED)
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", img)
cv2.waitKey(1)