opencv级联分类器实现人脸识别
from __future__ import print_function
import cv2 as cv
import argparse
def detectAndDisplay(frame):
frame_gray = cv.cvtColor(frame, cv.COLOR_BGR2GRAY)
frame_gray = cv.equalizeHist(frame_gray)
# -- 检测面部
faces = face_cascade.detectMultiScale(frame_gray)
for (x, y, w, h) in faces:
center = (x + w // 2, y + h // 2)
frame = cv.ellipse(frame, center, (w // 2, h // 2), 0, 0, 360, (255, 0, 255), 4)
faceROI = frame_gray[y:y + h, x:x + w]
# -- 在每张面部上检测眼睛
eyes = eyes_cascade.detectMultiScale(faceROI)
for (x2, y2, w2, h2) in eyes:
eye_center = (x + x2 + w2 // 2, y + y2 + h2 // 2)
radius = int(round((w2 + h2) * 0.25))
frame = cv.circle(frame, eye_center, radius, (255, 0, 0), 4)
cv.imshow('Capture - Face detection', frame)
parser = argparse.ArgumentParser(description='Code for Cascade Classifier tutorial.')
parser.add_argument('--face_cascade', help='Path to face cascade.', default='haarcascade_frontalface_alt.xml')
parser.add_argument('--eyes_cascade', help='Path to eyes cascade.', default='haarcascade_eye_tree_eyeglasses.xml')
parser.add_argument('--camera', help='Camera divide number.', type=int, default=0)
args = parser.parse_args()
face_cascade_name = args.face_cascade
eyes_cascade_name = args.eyes_cascade
face_cascade = cv.CascadeClassifier()
eyes_cascade = cv.CascadeClassifier()
# -- 1. 加载级联
if not face_cascade.load(cv.samples.findFile(face_cascade_name)):
print('--(!)Error loading face cascade')
exit(0)
if not eyes_cascade.load(cv.samples.findFile(eyes_cascade_name)):
print('--(!)Error loading eyes cascade')
exit(0)
camera_device = args.camera
# -- 2. 读取视频流
cap = cv.VideoCapture(camera_device)
if not cap.isOpened:
print('--(!)Error opening video capture')
exit(0)
while True:
ret, frame = cap.read()
if frame is None:
print('--(!) No captured frame -- Break!')
break
detectAndDisplay(frame)
if cv.waitKey(10) == 27:
break