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face.py 2.32 KB
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Aaron_ou 提交于 2015-01-17 21:30 . first
# -*- 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')
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