import cv2.
import mediapipe as mp.
mp_drawing = mp.solutions.drawing_utils
mp_drawing_styles = mp.solutions.drawing_styles
mp_hands = mp.solutions.hands
#webcam okuma.
cap = cv2.VideoCapture(0)
with mp_hands.Hands(
max_num_hands=0,
min_tracking_confidence=0.5,
min_detection_confidence=0.5,
) as hands:
while cap.isOpened():
success, image = cap.read()
if not success:
print("Hata olustu")
continue.
image.flags.writeable = False.
image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB) #fotografi isledik.
results = hands.process(image) #okudugun kamera goruntusunu isle ve bana sonucu goster.
image.flags.writeable = True.
image = cv2.cvtColor(image, cv2.COLOR_RGB2BGR)
if results.multi_hand_landmarks: #herhangi bir el tespit edildiyse.
for lm in results.multi_hand_landmarks: #her landmarki tek tek oku.
mp.drawing.draw_landmarks(image,lm,mp_hands.HAND_CONNECTIONS,
mp_drawing_styles.get_default_hand_landmarks_style(),
mp_drawing_styles.get_default_hand_connections_style(),
)
cv2.imshow("Result", image)
if cv2.waitKey(5) & 0xFF == 27:
break.
cap.release()
cv2.destroyAllWindows()