Face-Masking-model-on-Google-Colab

import cv2 #load cascade face_cascade= cv2.CascadeClassifier('haarcascade_frontalface_default.xml') #upload input image img= cv2.imread('rakshuuu.jpg') #detect faces faces=face_cascade.detectMultiScale(img,1.1,4) #draw rectangle around faces, taking pic to 4D level, xywh are dimensions, 255 is defined for format for calling the whole picture #255,0,0 means call whole pic if it was(255,89,56) then it means call
for(x,y,w,h) in faces: cv2.rectangle(img,(x,y),(x+w,y+h),(255,0,0),2) #export image cv2.imwrite("face_detected.png",img) print('photo successfully exported')