Piyush23890/Sign_Language_Decoder

1"""2hand_landmarks.py3=================4Simple webcam viewer that draws MediaPipe hand landmarks and5labels each detected hand as "Left" or "Right".6 7Useful for verifying your camera works before running the full app.8 9Usage10-----11    python hand_landmarks.py12 13Press ESC to quit.14"""15 16import cv217import mediapipe as mp18 19mp_hands = mp.solutions.hands20mp_draw  = mp.solutions.drawing_utils21 22hands = mp_hands.Hands(23    static_image_mode=False,24    max_num_hands=2,25    min_detection_confidence=0.70,26    min_tracking_confidence=0.70,27)28 29cap = cv2.VideoCapture(0)30print("Hand landmark viewer — press ESC to quit.")31 32while True:33    ok, frame = cap.read()34    if not ok:35        break36 37    frame = cv2.flip(frame, 1)38    rgb   = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)39    res   = hands.process(rgb)40 41    if res.multi_hand_landmarks:42        for idx, hl in enumerate(res.multi_hand_landmarks):43            mp_draw.draw_landmarks(44                frame, hl, mp_hands.HAND_CONNECTIONS,45                mp_draw.DrawingSpec(color=(0, 255, 0), thickness=2, circle_radius=4),46                mp_draw.DrawingSpec(color=(255, 0, 0), thickness=2),47            )48            # Label Left / Right at wrist position49            label = res.multi_handedness[idx].classification[0].label50            wrist = hl.landmark[0]51            h, w  = frame.shape[:2]52            cx, cy= int(wrist.x * w), int(wrist.y * h)53            cv2.putText(frame, label,54                        (cx - 35, cy - 22),55                        cv2.FONT_HERSHEY_SIMPLEX, 0.85,56                        (255, 255, 255), 2)57 58    # FPS hint59    cv2.putText(frame, "ESC to quit",60                (10, 28), cv2.FONT_HERSHEY_SIMPLEX,61                0.65, (180, 180, 180), 1)62    cv2.imshow("Hand Landmarks — SignBridge", frame)63 64    if cv2.waitKey(1) & 0xFF == 27:65        break66 67cap.release()68cv2.destroyAllWindows()69