김지윤_남가연_이동호

import numpy as np
import cv2

xml = 'haarcascades/haarcascade_frontalface_default.xml'
face_cascade = cv2.CascadeClassifier(xml)

cap = cv2.VideoCapture(0) 
cap.set(3,2160) 
cap.set(4,960) 

while(True):
    ret, frame = cap.read() 
    frame = cv2.flip(frame, 1)
    gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)

    faces = face_cascade.detectMultiScale(gray,1.05,5) 

    if len(faces):
      for (x,y,w,h) in faces:
        face_img = frame[y:y+h, x:x+w] 
        face_img = cv2.resize(face_img, dsize=(0, 0), fx=0.08, fy=0.08) 
        face_img = cv2.resize(face_img, (w, h), interpolation=cv2.INTER_AREA) 
        frame[y:y+h, x:x+w] = face_img 

    cv2.imshow('result', frame)

    k = cv2.waitKey(30) & 0xff
    if k == 27: 
        break

cap.release()
cv2.destroyAllWindows()

hyeongrokheo / mediapipe-public

김지윤_남가연_이동호 #3