HandTracking/handtracking.py at main · Concept-Bytes/HandTracking · GitHub

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import cv2
import mediapipe as mp


# Initialize Mediapipe Hand solution
mp_hands = mp.solutions.hands

hands = mp_hands.Hands(static_image_mode=False,
                       max_num_hands=2,
                       min_detection_confidence=0.1,
                       min_tracking_confidence=0.1)

mp_drawing = mp.solutions.drawing_utils

#open the camera
cap = cv2.VideoCapture(1)


# error check to make sure the camera is open
if not cap.isOpened():
    print("Error")
    exit()


#Main loop
while True:

    #capture frame by frame from the camera
    success, frame = cap.read()
    if not success:
        break

    # Flip the frame horizontally
    frame = cv2.flip(frame, 1)

    # Convert the frame color from BGR to RGB
    rgb_frame = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)

    # Process the RGB frame with MediaPipe Hands
    results = hands.process(rgb_frame)

    if results.multi_hand_landmarks:
        for hand_landmarks in results.multi_hand_landmarks:
            # Draw landmarks
            mp_drawing.draw_landmarks(frame, hand_landmarks,mp_hands.HAND_CONNECTIONS)


    # Draw the hand annotations on the frame.
    if results.multi_hand_landmarks:
        for hand_landmarks in results.multi_hand_landmarks:
            #Draw landmarks
            mp_drawing.draw_landmarks(frame, hand_landmarks, mp_hands.HAND_CONNECTIONS)

    # Display the resulting frame
    cv2.imshow("Frame", frame)
    cv2.waitKey(1)


cap.release()
cv2.destroyAllWindows()