python开发的基于MediaPipe的实时手势识别与追踪系统

import mediapipe as mp import cv2 mp_drawing = mp.solutions.drawing_utils mp_hands = mp.solutions.hands cap = cv2.VideoCapture(0) with mp_hands.Hands(min_detection_confidence=0.8, min_tracking_confidence=0.5) as hands: while cap.isOpened(): ret, frame = cap.read() # BGR 2 RGB image = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB) # Flip on horizontal image = cv2.flip(image, 1) # Set flag image.flags.writeable = False # Detections results = hands.process(image) # Set flag to true image.flags.writeable = True # RGB 2 BGR image = cv2.cvtColor(image, cv2.COLOR_RGB2BGR) # Detections print(results) # Rendering results if results.multi_hand_landmarks: for num, hand in enumerate(results.multi_hand_landmarks): mp_drawing.draw_landmarks( image, hand, mp_hands.HAND_CONNECTIONS, mp_drawing.DrawingSpec( color=(121, 22, 76), thickness=2, circle_radius=4 ), mp_drawing.DrawingSpec( color=(250, 44, 250), thickness=2, circle_radius=2 ), ) cv2.imshow("Hand Tracking", image) if cv2.waitKey(10) & 0xFF == ord("q"): break cap.release() cv2.destroyAllWindows()