人脸检测和识别--face recognition包

环境准备

pip install cmake
pip install dlib==19.8.1
pip install face_recognition
pip install opencv-python

人脸检测

 代码

提取图片中人脸的位置

import face_recognition
image = face_recognition.load_image_file("your_file.jpg")
face_locations = face_recognition.face_locations(image)

结果

[(297, 810, 759, 348)]

完整代码

import face_recognition
import cv2

from matplotlib import pyplot as plt

image = cv2.imread("test1.jpeg")
# image = face_recognition.load_image_file("test1.jpeg")
image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)
image_orign = image.copy()
face_locations = face_recognition.face_locations(image)

for (top, right, bottom, left) in face_locations:
        image = cv2.rectangle(image, (left, top), (right, bottom), (0, 0, 255), 2)

plt.subplot(1, 2, 1)
plt.imshow(image_orign)
plt.subplot(1, 2, 2)
plt.imshow(image)
plt.show()

人脸中具体部分的位置

import face_recognition
image = face_recognition.load_image_file("your_file.jpg")
face_landmarks_list = face_recognition.face_landmarks(image)

结果

[{'chin': [(299, 533), (316, 592), (337, 648), (367, 696), (410, 733), (463, 758), (520, 778), (574, 790), (618, 785), (649, 763), (668, 725), (688, 686), (707, 644), (719, 599), (725, 551), (723, 502), (713, 454)], 'left_eyebrow': [(375, 465), (405, 431), (450, 409), (501, 403), (549, 414)], 'right_eyebrow': [(590, 411), (618, 390), (648, 380), (679, 383), (700, 401)], 'nose_bridge': [(574, 471), (585, 504), (596, 537), (608, 571)], 'nose_tip': [(568, 613), (587, 614), (606, 615), (620, 606), (633, 594)], 'left_eye': [(429, 503), (453, 483), (482, 478), (510, 495), (485, 504), (456, 508)], 'right_eye': [(612, 476), (629, 450), (654, 443), (675, 454), (661, 468), (636, 474)], 'top_lip': [(540, 694), (571, 668), (595, 650), (612, 651), (624, 642), (643, 647), (658, 661), (647, 662), (626, 660), (614, 665), (598, 669), (555, 689)], 'bottom_lip': [(658, 661), (649, 680), (636, 694), (622, 701), (604, 705), (577, 705), (540, 694), (555, 689), (601, 675), (617, 672), (630, 666), (647, 662)]}]

人脸识别

代码

那你要识别的人脸照片与检测出来的照片做一个对比，如果自信度高，就是你要找的人脸

import face_recognition
known_image = face_recognition.load_image_file("me.jpg")
unknown_image = face_recognition.load_image_file("unknown.jpg")

biden_encoding = face_recognition.face_encodings(known_image)[0]
unknown_encoding = face_recognition.face_encodings(unknown_image)[0]

results = face_recognition.compare_faces([biden_encoding], unknown_encoding)

总结

人脸检测没有MTCNN好，人脸的小的时候就检测不出来了。或者模糊的时候也检测不出来。

下图可以看出第三个人的脸没检测出来，这种例子很多，你们可以试一试。

 

参考资料

GitHub - ageitgey/face_recognition: The world's simplest facial recognition api for Python and the command line