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Here is code for ARM:

#1/usr/bin/python3.7.3
#OpenCV 4.2, Raspberry pi 3/3b+, 4b, Buster ver 10
#Date 30th January, 2020

import cv2 as cv

face_cascade = cv.CascadeClassifier('haarcascade_frontalface_default.xml') 

cap = cv.VideoCapture(1)
font = cv.FONT_HERSHEY_SIMPLEX
org = (5, 25)
color = (255, 0, 0)

while cap.isOpened(): 

    # reads frames 
    ret, img = cap.read() 

    # convert to gray scale 
    gray = cv.cvtColor(img, cv.COLOR_BGR2GRAY) 

    # Detects faces
    faces = face_cascade.detectMultiScale(gray, 1.3, 5)

    #print("Number of {0} faces!".format(len(faces)))
    cv.putText(img, "Number of {0} faces!".format(len(faces)),
               org, font, 1, color, 2)

    cv.imshow('img',img) 

    # Wait for Esc key to stop 
    k = cv.waitKey(10) 
    if k == 27: 
        break

cap.release() 
cv.destroyAllWindows()

if you needed picamera. I'll be happier to help.

Here is code for ARM:

#1/usr/bin/python3.7.3
#OpenCV 4.2, Raspberry pi 3/3b+, 4b, Buster ver 10
#Date 30th January, 2020

import cv2 as cv

face_cascade = cv.CascadeClassifier('haarcascade_frontalface_default.xml') 

cap = cv.VideoCapture(1)
font = cv.FONT_HERSHEY_SIMPLEX
org = (5, 25)
color = (255, 0, 0)

while cap.isOpened(): 

    # reads frames 
    ret, img = cap.read() 

    # convert to gray scale 
    gray = cv.cvtColor(img, cv.COLOR_BGR2GRAY) 

    # Detects faces
    faces = face_cascade.detectMultiScale(gray, 1.3, 1.1, 5)

    #print("Number of {0} faces!".format(len(faces)))
    cv.putText(img, "Number of {0} faces!".format(len(faces)),
               org, font, 1, color, 2)

    cv.imshow('img',img) 

    # Wait for Esc key to stop 
    k = cv.waitKey(10) 
    if k == 27: 
        break

cap.release() 
cv.destroyAllWindows()

if you needed picamera. I'll be happier to help.