mediaPipe描繪手掌hands landmarks在本機端python實作練習

python code請進

import cv2
import mediapipe as mp
print(cv2.__version__)
print(mp.__version__)

mp_drawing = mp.solutions.drawing_utils          # mediapipe 繪圖方法
mp_drawing_styles = mp.solutions.drawing_styles  
mp_hands = mp.solutions.hands                    # mediapipe 偵測手

cap = cv2.VideoCapture(0)
cap.set(3, 1280)
cap.set(4, 720)
 
if not cap.isOpened():
    print("Cannot open camera")
    exit()
hands=mp_hands.Hands(
    model_complexity=0,
    max_num_hands=2,
    min_detection_confidence=0.5,
    min_tracking_confidence=0.5)
while True:
    ret, im = cap.read()
    if not ret:
        print("Fail to receive frame")
        break
    im2 = cv2.cvtColor(im, cv2.COLOR_BGR2RGB)   # 將 BGR 轉換成 RGB
    results = hands.process(im2)                 # 偵測手掌
    if results.multi_hand_landmarks:
        for hand_landmarks in results.multi_hand_landmarks:
            # 繪製到影像中
            mp_drawing.draw_landmarks(
                im, 
                hand_landmarks,
                mp_hands.HAND_CONNECTIONS,
                mp_drawing_styles.get_default_hand_landmarks_style(),
                mp_drawing_styles.get_default_hand_connections_style())   
    cv2.imshow('hands', im)
    if cv2.waitKey(1)>0: break    # 按任意鍵停止
cap.release()
cv2.destroyAllWindows()
hands.close()