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。