main.py

# https://www.digitalocean.com/community/tutorials/how-to-detect-and-extract-faces-from-an-image-with-opencv-and-python

from itertools import count
from typing import Counter
import cv2
import sys
import random
from PIL import Image
from cv2 import VideoCapture
from cv2 import imshow
import pyttsx3
import time

voice_engine = pyttsx3.init()
voice_engine.say("Welcome to SLAP BOT FOUR TWENTY RUSSIAN ROULETTE EDITION.")
voice_engine.runAndWait()
voice_engine.say("Please stand in a line so I can see you.")
voice_engine.runAndWait()
voice_engine.say("Okay now, let's see")
voice_engine.runAndWait()
voice_engine.say("I choose...")
voice_engine.runAndWait()
voice_engine.say("This human.")
voice_engine.runAndWait()

cam = VideoCapture(0)

result, image = cam.read()

if result:
    imshow("Target Practice", image)

gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)

faceCascade = cv2.CascadeClassifier(
    cv2.data.haarcascades + "haarcascade_frontalface_default.xml")
faces = faceCascade.detectMultiScale(
    gray,
    scaleFactor=1.3,
    minNeighbors=3,
    minSize=(30, 30)
)  # returns Rect(x,y,w,h) for each face detected --> these are the pixel locations for the rectangle.

print("[INFO] Found {0} Faces.".format(len(faces)))

counter = 0

for (x, y, w, h) in faces:  # iterate through list of pixel locations
    counter = counter+1
    cv2.rectangle(image, (x, y), (x + w, y + h), (0, 255, 0), 2)
    # get all the pixels within face recognition rectangle
    roi_color = image[y:y + h, x:x + w]
    print("[INFO] Object found. Saving locally.")

    cv2.imwrite(str(counter) + '_faces.jpg', roi_color)

    src = cv2.imread(str(counter) + '_faces.jpg', cv2.IMREAD_UNCHANGED)
    # factor by which the image is resized
    scale = 10
    width = int(src.shape[1] * scale)
    height = int(src.shape[0] * scale)
    # new size
    dsize = (width, height)
    # resize image
    output = cv2.resize(src, dsize)
    cv2.imwrite(str(counter) + '_faces.jpg', output)

status = cv2.imwrite('faces_detected.jpg', image)
print("[INFO] Image faces_detected.jpg written to filesystem: ", status)

chosen_person = Image.open(str(random.randint(1, counter)) + "_faces.jpg")

chosen_person.show()

voice_engine.say(
    "Please place your forehead on the red button so I can slap you.")
voice_engine.runAndWait()