def load_cascades():
# Load Haar cascade files containing features
cascPaths = ['models/haarcascades/haarcascade_frontalface_default.xml',
'models/haarcascades/haarcascade_frontalface_alt.xml',
'models/haarcascades/haarcascade_frontalface_alt2.xml',
'models/haarcascades/haarcascade_frontalface_alt_tree.xml'
'models/lbpcascades/lbpcascade_frontalface.xml']
faceCascades = []
for casc in cascPaths:
faceCascades.append(cv.CascadeClassifier(casc))
return faceCascades
# Do Haar cascade face detection on a single image
# Face detection returns a list of faces
# Where each face is the coordinates of a rectangle containing a face:
# (x,y,w,h)
评论列表
文章目录