Hand Tracking program on Mac (Python) Is outputting very low FPS

Question

I have been following some tutorials online on how to make a hand tracking program which can control the volume of my PC via OpenCV. I am on a macbook pro with the M1 chip, using Python 3.8.2, and MacOS Big Sur 11.6.

Whenever I run my program, I get 15 FPS instead of the usual 30 that most people get when following the tutorial. Further investigation showed that only 1 line of code is causing my fps to drop from 30 to 15.

    self.results = self.hands.process(imgRGB)

Does anyone know any way to improve my FPS, and why this line causes such a massive drop in FPS? Full code is below

First part here is the hand detection script, where the problematic line of code is (under FindHands function):

import cv2
import mediapipe as mp
import time


class handDetector():
    def __init__(self, mode=False, maxHands=2, modelComplexity=1, detectionCon=0.8, trackCon=0.8):

        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)
        self.mpDraw = mp.solutions.drawing_utils
        
    def findHands(self,img, draw = True):
        imgRGB = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
        self.results = self.hands.process(imgRGB)
        # print(results.multi_hand_landmarks)

        if self.results.multi_hand_landmarks:
            for handLms in self.results.multi_hand_landmarks:
                if draw:
                    self.mpDraw.draw_landmarks(img, handLms, self.mpHands.HAND_CONNECTIONS)
        return img
        

    def findPosition(self, img, handNo = 0, draw = True):

        lmlist = []
        if self.results.multi_hand_landmarks:
            myHand = self.results.multi_hand_landmarks[handNo]

            
            for id, lm in enumerate(myHand.landmark):
                h, w, c = img.shape
                cx, cy = int(lm.x * w), int(lm.y * h)
                lmlist.append([id, cx, cy])
                if draw:
                    cv2.circle(img, (cx, cy), 7, (255, 0, 255), cv2.FILLED)
                    
        return lmlist

def main():
    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("Image", img)
        cv2.waitKey(1)


        if __name__ == "__main__":
            main()
        

This next part is the script that controls the volume control, which on another note further reduces my FPS to 5 when a hand is in frame, which is apparently due to Osascript not being very good:

import cv2
import time
import numpy as np
import DoneHand as dh
import math
import osascript


minVol = 0
maxVol = 100
wCam, hCam = 640, 480
pTime = 0


cap = cv2.VideoCapture(0)

detector = dh.handDetector()


while True:
    success, img = cap.read()
    img = detector.findHands(img)
    lmList = detector.findPosition(img, draw = False)
    if len(lmList) != 0:
        #print(lmList[4], lmList[8])
    
        x1, y1 = lmList[4][1], lmList[4][2]
        x2, y2 = lmList[8][1], lmList[8][2]
        cx, cy = (x1 + x2) // 2, (y1 + y2) // 2

        cv2.circle(img, (x1, y1), 15, (255, 0, 255), cv2.FILLED)
        cv2.circle(img, (x2, y2), 15, (255, 0, 255), cv2.FILLED)
        cv2.circle(img, (cx, cy), 15, (255, 0, 255), cv2.FILLED)
        cv2.line(img, (x1, y1), (x2, y2), (255, 0, 255), 3)

        length = math.hypot(x2 - x1, y2 - y1)
        print(length)


        #Hand range 55 - 350
        #Volume range 0 - 100

        vol = np.interp(length, [55, 350], [minVol, maxVol])
        print(vol)

        target_volume = vol
        #osascript.osascript("set volume output volume {}".format(target_volume))

        if length < 55:
            cv2.circle(img, (cx, cy), 15, (0, 255, 0), cv2.FILLED)


    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("Img", img)
    cv2.waitKey(1)

    
    

Thank you in advance!