人脸识别，一行代码就能搞定？

import face_recognitionfrom skimage import draw, io
%matplotlib inline# 图片文件files = "F:\data\people.jpg"# 加载图片image = face_recognition.load_image_file(files)# 识别人脸坐标face_locations = face_recognition.face_locations(image)# 我们在此使用之前介绍过的skimage库进行绘制# 读出的图片在skimage中不能使用，故重新导入img = io.imread(files)

print("I found {} face(s) in this photograph.".format(len(face_locations)))# 循环标记人脸for face_location in face_locations:    # 每个人脸的坐标
    top, right, bottom, left = face_location    # 为每个人脸画四边形
    # polygon_perimeter作用是绘制不填充的多边形
    rr, cc = draw.polygon_perimeter([top, top, bottom, bottom], [left, right, right, left])    # 设置颜色为红色
    draw.set_color(img, [rr, cc], [255, 0, 0])# 保存io.imsave('F:result.jpg', img)

I found 24 face(s) in this photograph.

import matplotlib.pyplot as pltfrom skimage import io

origin = io.imread(files)
reco = io.imread('f:result.jpg')

plt.subplot(1, 2, 1)
plt.imshow(origin)
plt.subplot(1, 2, 2)
plt.imshow(reco)

import face_recognition# 首先打开一张已经知道是谁的照片，然后打开另一张照片zhuyizhi_image = face_recognition.load_image_file("F:zhuyizhi.jpg")
unknown_image = face_recognition.load_image_file("F:unknow.jpg")# 识别出已知和未知人脸的面部特征zhu_face_encoding = face_recognition.face_encodings(zhuyizhi_image)[0]
unknown_face_encoding = face_recognition.face_encodings(unknown_image)[0]# 可以添加多个已知的人脸照片known_faces = [
    zhu_face_encoding,
 
]# 比较已知人脸和未知人脸，返回结果为true或者false。results = face_recognition.compare_faces(known_faces, unknown_face_encoding)

print("Is the unknown face a picture of zhuyizhi? {}".format(results[0]))
print("Is the unknown face a new person that we've never seen before? {}".format(not True in results))

Is the unknown face a picture of zhuyizhi? TrueIs the unknown face a new person that we've never seen before? False