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Test.py
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Test.py
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import cv2
import mediapipe as mp
# Initialize MediaPipe Hands
mp_hands = mp.solutions.hands
hands = mp_hands.Hands()
# OpenCV setup
cap = cv2.VideoCapture(0) # 0 for default camera
while cap.isOpened():
ret, frame = cap.read()
if not ret:
break
# Convert the BGR image to RGB
rgb_frame = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
# Process the frame with MediaPipe Hands
results = hands.process(rgb_frame)
# Check if hands are detected
if results.multi_hand_landmarks:
for hand_landmarks in results.multi_hand_landmarks:
# Extract landmark positions
finger_tip_ids = [4, 8, 12, 16, 20] # Landmark indices for fingertips
extended_fingers = sum(
[1 for id in finger_tip_ids if hand_landmarks.landmark[id].y < hand_landmarks.landmark[id - 1].y])
# Draw circles on the fingertips
for id in finger_tip_ids:
cx, cy = int(hand_landmarks.landmark[id].x * frame.shape[1]), int(hand_landmarks.landmark[id].y * frame.shape[0])
cv2.circle(frame, (cx, cy), 5, (255, 0, 0), cv2.FILLED)
# Display the number of extended fingers
cv2.putText(frame, f"Fingers: {extended_fingers}", (10, 30), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 255, 0), 2)
# Display the frame
cv2.imshow("Hand Gesture Detector", frame)
# Break the loop on 'q' key press
if cv2.waitKey(1) & 0xFF == ord('q'):
break
# Release the capture and destroy windows
cap.release()
cv2.destroyAllWindows()