Python基于opencv的人眼识别检测项目源码，检测摄像头录像中是否出现人眼，出现则标记

# -*- coding: utf-8 -*- """ Created on Tue Dec 30 07:35:33 2014 @author: aaron """ #!/usr/bin/env python #coding=utf-8 import os from PIL import Image, ImageDraw import cv import cv2 def detect_object(image): '''检测图片，获取人脸在图片中的坐标''' grayscale = cv.CreateImage((image.width, image.height), 8, 1) cv.CvtColor(image, grayscale, cv.CV_BGR2GRAY) cascade = cv.Load("/usr/local/share/OpenCV/haarcascades/haarcascade_eye_tree_eyeglasses.xml") rect = cv.HaarDetectObjects(grayscale, cascade, cv.CreateMemStorage(), 1.1, 2, cv.CV_HAAR_DO_CANNY_PRUNING, (20,20)) result = [] for r in rect: result.append((r[0][0], r[0][1], r[0][0]+r[0][2], r[0][1]+r[0][3])) return result def process(infile): '''在原图上框出头像并且截取每个头像到单独文件夹''' image = cv.LoadImage(infile); if image: faces = detect_object(image) im = Image.open(infile) path = os.path.abspath(infile) save_path = os.path.splitext(path)[0]+"_face" try: os.mkdir(save_path) except: pass if faces: draw = ImageDraw.Draw(im) count = 0 for f in faces: count += 1 draw.rectangle(f, outline=(255, 0, 0)) a = im.crop(f) file_name = os.path.join(save_path,str(count)+".jpg") # print file_name a.save(file_name) drow_save_path = os.path.join(save_path,"out.jpg") im.save(drow_save_path, "JPEG", quality=80) img = cv2.imread(drow_save_path) cv2.imshow('eye',img) else: print "Error: cannot detect faces on %s" % infile if __name__ == "__main__": cv2.namedWindow('Video') cv2.namedWindow('eye') capture = cv2.VideoCapture(0) _, frame = capture.read() while frame is not None: cv2.imshow('Video', frame) key = cv2.waitKey(10) cv2.imwrite('screenshot.bmp', frame) process('screenshot.bmp') if key == ord('s'): # 当按下"s"键时，将保存当前画面 cv2.imwrite('screenshot.bmp', frame) process('screenshot.bmp') elif key == ord('q'): # 当按下"q"键时，将退出循环 cv2.destroyWindow('Video') break _, frame = capture.read() cv2.destroyWindow('Video') cv2.destroyWindow('eye')