在def __init__()中，在代码：

self.hands = self.mpHands.Hands(self.mode, self.maxHands, self.detectionCon, self.trackCon)

尝试为Hands()中的第三个参数添加模型复杂性，如下所示：

self.hands = self.mpHands.Hands(self.mode, self.maxHands, self.modelComplex, self.detectionCon, self.trackCon)

所以self.mpHands.Hands()中共有五个参数
下面是我的完整代码：

class handDetector():
    def __init__(self, mode=False, maxHands=1, modelComplexity=1, detectionCon=0.5, trackCon=0.5):
        self.mode = mode
        self.maxHands = maxHands
        self.modelComplex = modelComplexity
        self.detectionCon = detectionCon
        self.trackCon = trackCon

        self.mpHands = mp.solutions.hands
        self.hands = self.mpHands.Hands(self.mode, self.maxHands, self.modelComplex, 
                                        self.detectionCon, self.trackCon)

我也遇到了同样的问题，只需将model_complexity添加到init函数中，就可以开始了：

def __init__(self, mode=False, model_complexity=1, upBody=False, smooth=True, detectionCon=0.5, trackCon=0.5):

您需要在handDetector()类的__init__方法中再分配一个参数。
完整的代码可能如下所示：

import cv2
import mediapipe as mp
import time

# class creation
class handDetector():
    def __init__(self, mode=False, maxHands=2, detectionCon=0.5,modelComplexity=1,trackCon=0.5):
        self.mode = mode
        self.maxHands = maxHands
        self.detectionCon = detectionCon
        self.modelComplex = modelComplexity
        self.trackCon = trackCon
        self.mpHands = mp.solutions.hands
        self.hands = self.mpHands.Hands(self.mode, self.maxHands,self.modelComplex,
                                        self.detectionCon, self.trackCon)
        self.mpDraw = mp.solutions.drawing_utils # it gives small dots onhands total 20 landmark points

    def findHands(self,img,draw=True):
        # Send rgb image to hands
        imgRGB = cv2.cvtColor(img,cv2.COLOR_BGR2RGB)
        self.results = self.hands.process(imgRGB) # process the frame
    #     print(results.multi_hand_landmarks)

        if self.results.multi_hand_landmarks:
            for handLms in self.results.multi_hand_landmarks:

                if draw:
                    #Draw dots and connect them
                    self.mpDraw.draw_landmarks(img,handLms,
                                                self.mpHands.HAND_CONNECTIONS)

           return img

    def findPosition(self,img, handNo=0, draw=True):
        """Lists the position/type of landmarks
        we give in the list and in the list ww have stored
        type and position of the landmarks.
        List has all the lm position"""

        lmlist = []

        # check wether any landmark was detected
        if self.results.multi_hand_landmarks:
            #Which hand are we talking about
            myHand = self.results.multi_hand_landmarks[handNo]
            # Get id number and landmark information
            for id, lm in enumerate(myHand.landmark):
                # id will give id of landmark in exact index number
                # height width and channel
                h,w,c = img.shape
                #find the position
                cx,cy = int(lm.x*w), int(lm.y*h) #center
                # print(id,cx,cy)
                lmlist.append([id,cx,cy])

                # Draw circle for 0th landmark
                if draw:
                    cv2.circle(img,(cx,cy), 15 , (255,0,255), cv2.FILLED)

        return lmlist

def main():
    #Frame rates
    pTime = 0
    cTime = 0
    cap = cv2.VideoCapture(0)
    detector = handDetector()

    while True:
        success,img = cap.read()
        img = detector.findHands(img)
        lmList = detector.findPosition(img)
        if len(lmList) != 0:
            print(lmList[4])

        cTime = time.time()
        fps = 1/(cTime-pTime)
        pTime = cTime

        cv2.putText(img,str(int(fps)),(10,70), cv2.FONT_HERSHEY_PLAIN,3,(255,0,255),3)

        cv2.imshow("Video",img)
        if cv2.waitKey(1) == ord('q'):
            break

    cap.release()
    cv2.destroyAllWindows()

if __name__ == "__main__":
    main()

我不知道它是否有帮助，现在或可能为未来的参考。这是一个已知的问题，与最后一个版本的mediapipe。恢复到版本0.8.8将解决这个问题。

这是一个缩进的问题，因为findHands（）需要成为类handDetector（）的一部分。

解决方法：

def __init__(self, mode=False, maxHands = 2, detectionCon=0.5, trackCon = 0.5):

问题出在代码的第6行。库更新后，您必须将一个整数值初始化为“detectionCon”。为了获得最佳结果，请初始化detectionCon = 1和trackCon = 0.5。
如果这解决了你的问题，请投上一票，这样其他人就可以很容易地看到它。