我使用过haarcascade_frontalface_default.xml来检测图像中的所有面孔。 以下是代码
import cv2
cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
def find_and_blur(bw, color):
# detect al faces
faces = cascade.detectMultiScale(bw, 1.1, 4)
# get the locations of the faces
for (x, y, w, h) in faces:
# select the areas where the face was found
roi_color = color[y:y+h, x:x+w]
# blur the colored image
blur = cv2.GaussianBlur(roi_color, (101,101), 0)
# Insert ROI back into image
color[y:y+h, x:x+w] = blur
# return the blurred image
return color
# turn camera on
video_capture = cv2.VideoCapture(0)
while True:
# get last recorded frame
_, color = video_capture.read()
# transform color -> grayscale
bw = cv2.cvtColor(color, cv2.COLOR_BGR2GRAY)
# detect the face and blur it
blur = find_and_blur(bw, color)
# display output
cv2.imshow('Video', blur)
# break if q is pressed
if cv2.waitKey(1) & 0xFF == ord('q'):
break
# turn camera off
video_capture.release()
# close camera window
cv2.destroyAllWindows()
现在,我想从所有检测到的面部中选择特定的面部,以对所选的面部进行将来的操作,例如跟踪。 例如。 I want to select small girl face to track it
请帮助并提前谢谢您。