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Hand_detector.py
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Hand_detector.py
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import cv2
import mediapipe as mp
import time
cap = cv2.VideoCapture(0)
mpHands = mp.solutions.hands
hands = mpHands.Hands(False)
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)
height, width, channel = img.shape
cx, cy = int(lm.x*width), int(lm.y*height)
print(id,cx,cy)
cv2.circle(img,(cx,cy), 10, (255,0,255), cv2.FILLED)
if id == 0:
cv2.circle(img,(cx,cy), 25, (255,0,40), 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_ITALIC,3,(255,0,255),3)
cv2.imshow("Image", img)
cv2.waitKey(1)