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Simple program for Face Detection
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import numpy as np | |
import cv2 | |
# multiple cascades: https://github.com/Itseez/opencv/tree/master/data/haarcascades | |
faceCascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml') | |
cap = cv2.VideoCapture(0) | |
cap.set(3,640) # set Width | |
cap.set(4,480) # set Height | |
while True: | |
ret, img = cap.read() | |
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) | |
faces = faceCascade.detectMultiScale( | |
gray, | |
scaleFactor=1.2, | |
minNeighbors=5, | |
minSize=(20, 20) | |
) | |
for (x,y,w,h) in faces: | |
cv2.rectangle(img,(x,y),(x+w,y+h),(255,0,0),2) | |
roi_gray = gray[y:y+h, x:x+w] | |
roi_color = img[y:y+h, x:x+w] | |
cv2.imshow('video',img) | |
k = cv2.waitKey(30) & 0xff | |
if k == 27: # press 'ESC' to quit | |
break | |
cap.release() | |
cv2.destroyAllWindows() |
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