基于opencv 手势识别-仅仅是手势识别

import cv2
import matplotlib.pyplot as plt
import numpy as np
import time
import os
import mediapipe as mp

mphands = mp.solutions.hands
mpdraw = mp.solutions.drawing_utils

wcap , hcap = 640 , 480    #定义摄像头的宽  和   高
cap = cv2.VideoCapture(0)
cap.set(3,wcap)
cap.set(4,hcap)
pTime = 0
while True:
    ret , img = cap.read()
    imgRGB = cv2.cvtColor(img,cv2.COLOR_BGR2RGB)    #转换rgb为bgr  bgr mediapipe才可识别
    with mphands.Hands(min_detection_confidence=0.65,min_tracking_confidence=0.65) as hands:
        result = hands.process(imgRGB)
        # print(result.multi_hand_landmarks)
        if result.multi_hand_landmarks:
            for hand_landmarks in result.multi_hand_landmarks:
                mpdraw.draw_landmarks(img,hand_landmarks,mphands.HAND_CONNECTIONS)

    cTime = time.time()
    fps = 1/(cTime - pTime)
    pTime = cTime
    cv2.putText(img,f'fps:{int(fps)}',(20,45),cv2.FONT_HERSHEY_COMPLEX,1,(255,0,0),2,8,0)
    cv2.imshow("image",img)
    if cv2.waitKey(1) == 27:
        break
cap.release()        #释放摄像头
cv2.destroyWindow()   #窗口关闭

人丑不好意思哈哈哈哈