#使用face_recognition实现从图片中选中人数并分别输出txt
import face_recognition
import cv2
import os
fin = 'D:\Users\a\Pictures\test_pho'
# 读取图片并识别人脸
for file in os.listdir(fin):
file_fullname = fin + '/' + file
img = face_recognition.load_image_file(file_fullname)
face_locations = face_recognition.face_locations(img)
print(face_locations)
faceNum = len(face_locations)
print(faceNum)
num = str(faceNum)
file_object = open(file_fullname+'.txt', 'w')
file_object.write(num+ '个人')
file_object.close()
# 调用opencv函数显示图片
# img = cv2.imread("D:\Users\a\Pictures\test_pho\3.jpg")
# cv2.namedWindow("pre_pho")
# cv2.imshow("pre_pho", img)
#遍历每个人脸,并标注
# faceNum = len(face_locations)
# print(faceNum)
for i in range(0, faceNum):
top = face_locations[i][0]
right = face_locations[i][1]
bottom = face_locations[i][2]
left = face_locations[i][3]
start = (left, top)
end = (right, bottom)
color = (55, 255, 155)
thickness = 3
cv2.rectangle(img, start, end, color, thickness)
# 显示识别结果
# cv2.namedWindow("rec_pho")
# cv2.imshow("rec_pho", img)
cv2.waitKey(0)
cv2.destroyAllWindows()
![](https://images2018.cnblogs.com/blog/1269652/201711/1269652-20171125131626593-334823650.jpg)