Image Processing

import pathlib

import cv2

cascade_path = pathlib.Path(cv2.__file__).parent.absolute() / "data/haarcascade_frontalface_default.xml"

print(cascade_path)

clf = cv2.CascadeClassifier(str(cascade_path))

camara = cv2.VideoCapture(0)

# camara = cv2.VideoCapture("guy.mp4")

while True:

   _, frame = camara.read()

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

   faces = clf.detectMultiScale(

       gray,

       scaleFactor=1.1,

       minSize=(30,30),

       minNeighbors=5,

       flags = cv2.CASCADE_SCALE_IMAGE

   )

   for(x,y,width,height) in faces:

       cv2.rectangle(frame, (x,y),(x+width,y+height),(255,255,0),2)

   cv2.imshow("Faces", frame)

   if cv2.waitKey(1) == ord("q"):

       break

camara.release()

cv2.destroyAllWindows()