import mediapipe as mp import cv2 from utils import read_n_resize def mp_hand_pose_detect_fn(image): mp_drawing = mp.solutions.drawing_utils mp_drawing_styles = mp.solutions.drawing_styles mp_hands = mp.solutions.hands with mp_hands.Hands( static_image_mode=True, max_num_hands=5, min_detection_confidence=0.5 ) as hands: image = cv2.flip(read_n_resize(image, read=False), 1) results = hands.process(image) image_height, image_width, _ = image.shape annotated_image = image.copy() for hand_landmarks in results.multi_hand_landmarks: mp_drawing.draw_landmarks( annotated_image, hand_landmarks, mp_hands.HAND_CONNECTIONS, mp_drawing_styles.get_default_hand_landmarks_style(), mp_drawing_styles.get_default_hand_connections_style()) return cv2.flip(annotated_image, 1)