标签:识别 oca opencv release pytho 并保存 tis def image
# OpenCV版本的视频检测 import cv2 # 图片识别方法封装 def discern(img): gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) cap = cv2.CascadeClassifier( "C:\Python36\Lib\site-packages\opencv-master\data\haarcascades\haarcascade_frontalface_default.xml" ) faceRects = cap.detectMultiScale( gray, scaleFactor=1.2, minNeighbors=3, minSize=(50, 50)) if len(faceRects): for faceRect in faceRects: x, y, w, h = faceRect cv2.rectangle(img, (x, y), (x + h, y + w), (0, 255, 0), 2) # 框出人脸 cv2.imshow("Image", img) # 获取摄像头0表示第一个摄像头 cap = cv2.VideoCapture(0) while (1): # 逐帧显示 ret, img = cap.read() # cv2.imshow("Image", img) discern(img) if cv2.waitKey(1) & 0xFF == ord(‘q‘): break cap.release() # 释放摄像头 cv2.destroyAllWindows() # 释放窗口资源
标签:识别 oca opencv release pytho 并保存 tis def image
原文地址:https://www.cnblogs.com/jumpkin1122/p/11509788.html