Please Note: This Post refers to OpenCV 2.x!
The following sample uses the classes videoand common, which are helper classes from the samples/python2 folder.
The cascades used in this sample are located in the data folder of your OpenCV download, so you'll probably need to adjust the filename parameter cascade_fn to make this example work:
import cv2
from video import create_capture
from common import clock, draw_str
# You probably need to adjust some of these:
video_src = 0
cascade_fn = "haarcascades/haarcascade_frontalface_default.xml"
# Create a new CascadeClassifier from given cascade file:
cascade = cv2.CascadeClassifier(cascade_fn)
cam = create_capture(video_src)
while True:
ret, img = cam.read()
# Do a little preprocessing:
img_copy = cv2.resize(img, (img.shape[1]/2, img.shape[0]/2))
gray = cv2.cvtColor(img_copy, cv2.COLOR_BGR2GRAY)
gray = cv2.equalizeHist(gray)
# Detect the faces (probably research for the options!):
rects = cascade.detectMultiScale(gray)
# Make a copy as we don't want to draw on the original image:
for x, y, width, height in rects:
cv2.rectangle(img_copy, (x, y), (x+width, y+height), (255,0,0), 2)
cv2.imshow('facedetect', img_copy)
if cv2.waitKey(20) == 27:
break