파이썬 에어 마우스 스크립트(손 추적 포함)

import cv2 import mediapipe as mp import pyautogui import math # Sensitivity settings - adjust these values SMOOTHING = 0.5 # Higher = smoother but slower response (0.1 to 1.0) SCREEN_WIDTH, SCREEN_HEIGHT = pyautogui.size() # Get screen size CAM_WIDTH, CAM_HEIGHT = 640, 480 # Webcam resolution # Initialize MediaPipe Hands mp_hands = mp.solutions.hands hands = mp_hands.Hands(max_num_hands=1, min_detection_confidence=0.7, min_tracking_confidence=0.5) mp_draw = mp.solutions.drawing_utils # Initialize webcam cap = cv2.VideoCapture(0) cap.set(3, CAM_WIDTH) cap.set(4, CAM_HEIGHT) # Cursor position variables for smoothing prev_x, prev_y = 0, 0 cursor_x, cursor_y = SCREEN_WIDTH // 2, SCREEN_HEIGHT // 2 # Pinch detection thresholds (adjust if needed) PINCH_DISTANCE = 0.04 # Normalized distance for pinch detection # State variables paused = False left_clicked = False right_clicked = False def get_distance(point1, point2): """Calculate Euclidean distance between two points""" return math.sqrt((point1.x - point2.x) ** 2 + (point1.y - point2.y) ** 2) while True: success, frame = cap.read() if not success: break # Flip frame horizontally for mirror effect frame = cv2.flip(frame, 1) rgb_frame = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB) # Process hand detection result = hands.process(rgb_frame) if result.multi_hand_landmarks: for hand_landmarks in result.multi_hand_landmarks: # Draw hand landmarks on frame mp_draw.draw_landmarks(frame, hand_landmarks, mp_hands.HAND_CONNECTIONS) # Get key landmarks index_tip = hand_landmarks.landmark[8] # Index finger tip thumb_tip = hand_landmarks.landmark[4] # Thumb tip middle_tip = hand_landmarks.landmark[12] # Middle finger tip wrist = hand_landmarks.landmark[0] # Wrist # Check for open palm (all fingers extended) finger_tips = [8, 12, 16, 20] # Index, middle, ring, pinky tips extended_count = 0 for tip_id in finger_tips: tip = hand_landmarks.landmark[tip_id] pip = hand_landmarks.landmark[tip_id - 2] # PIP joint if tip.y < pip.y: # Finger is extended extended_count += 1 # Open palm detection - pause tracking if extended_count >= 4: paused = True cv2.putText(frame, "PAUSED", (10, 30), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 0, 255), 2) else: paused = False if not paused: # Map index finger position to screen coordinates # Invert X for natural movement (mirror effect) target_x = (1 - index_tip.x) * SCREEN_WIDTH target_y = index_tip.y * SCREEN_HEIGHT # Apply smoothing to cursor movement cursor_x = prev_x + (target_x - prev_x) * SMOOTHING cursor_y = prev_y + (target_y - prev_y) * SMOOTHING # Move cursor pyautogui.moveTo(cursor_x, cursor_y) # Update previous positions prev_x, prev_y = cursor_x, cursor_y # Calculate pinch distances index_thumb_dist = get_distance(index_tip, thumb_tip) middle_thumb_dist = get_distance(middle_tip, thumb_tip) # Left click - index finger + thumb pinch if index_thumb_dist < PINCH_DISTANCE and not left_clicked: pyautogui.click(button='left') left_clicked = True cv2.putText(frame, "LEFT CLICK", (10, 60), cv2.FONT_HERSHEY_SIMPLEX, 0.7, (0, 255, 0), 2) elif index_thumb_dist >= PINCH_DISTANCE: left_clicked = False # Right click - middle finger + thumb pinch if middle_thumb_dist < PINCH_DISTANCE and not right_clicked: pyautogui.click(button='right') right_clicked = True cv2.putText(frame, "RIGHT CLICK", (10, 90), cv2.FONT_HERSHEY_SIMPLEX, 0.7, (0, 255, 0), 2) elif middle_thumb_dist >= PINCH_DISTANCE: right_clicked = False # Display the frame cv2.imshow("Air Mouse", frame) # Exit on 'q' key if cv2.waitKey(1) & 0xFF == ord('q'): break # Cleanup cap.release() cv2.destroyAllWindows()