Python + OpenCV + openpose实现人手关键点检测

人手关键点检测"/>

Python + OpenCV + openpose实现人手关键点检测

import cv2
import mediapipe as mp
import time# 调用摄像头
cap = cv2.VideoCapture(0)mpHands = mp.solutions.hands
hands = mpHands.Hands()
mpDraw = mp.solutions.drawing_utilspTime = 0
cTime = 0while True:success, img = cap.read()imgRGB = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)results = hands.process(imgRGB)#print(results.multi_hand_landmarks)if results.multi_hand_landmarks:for handLms in results.multi_hand_landmarks:for id, lm in enumerate(handLms.landmark):# print(id, lm)h, w, c = img.shapecx, cy = int(lm.x * w), int(lm.y * h)print(id, cx, cy)# if id == 4:cv2.circle(img, (cx,cy), 5, (255, 0, 255), cv2.FILLED)mpDraw.draw_landmarks(img, handLms,mpHands.HAND_CONNECTIONS)cTime = time.time()fps = 1 / (cTime - pTime)pTime = cTimecv2.putText(img, str(int(fps)), (10,70), cv2.FONT_HERSHEY_PLAIN, 3, (255, 123, 255), 3)cv2.imshow("Image", img)cv2.waitKey(1)