使用簡單代碼實現攝像頭進行在線人臉識別
import cv2
import sys
import logging as log
import datetime as dt
from time import sleep
cascPath = "D:\\Python27\\Lib\\site-packages\\cv2\\data\\haarcascade_frontalface_alt2.xml"
faceCascade = cv2.CascadeClassifier(cascPath)
# 打開視頻捕獲設備
video_capture = cv2.VideoCapture(0)
while True:
if not video_capture.isOpened():
print('Unable to load camera.')
sleep(5)
pass
# 讀視頻幀
ret, frame = video_capture.read()
# 轉為灰度圖像
gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
# 調用分類器進行檢測
faces = faceCascade.detectMultiScale(
gray,
scaleFactor=1.1,
minNeighbors=5,
minSize=(30, 30),
#flags=cv2.cv.CV_HAAR_SCALE_IMAGE
)
# 畫矩形框
for (x, y, w, h) in faces:
cv2.rectangle(frame, (x, y), (x+w, y+h), (0, 255, 0), 2)
# 顯示視頻
cv2.imshow('Video', frame)
if cv2.waitKey(1) & 0xFF == ord('q'):
break
# 關閉攝像頭設備
video_capture.release()
# 關閉所有窗口
cv2.destroyAllWindows()
運行程序后按q鍵退出程序。注意一些模塊的導入,否則代碼無法運行。筆者使用筆記本運行程序,可以調用筆記本的攝像頭進行人臉識別。
