windows安装face_recognition并进行人脸对比

1.安装依赖包dblib

1.1点击链接：https://pypi.org/simple/dlib/

1.2点击下载：dlib-19.8.1-cp36-cp36m-win_amd64.whl

1.3进入刚才下载的目录，得到dblib的路径：‪C:\Users\xxx\Downloads\dlib-19.8.1-cp36-cp36m-win_amd64.whl

1.4pip install ‪C:\Users\白雪\Downloads\dlib-19.8.1-cp36-cp36m-win_amd64.whl  进行安装

 

2.安装face_recognition包

pip install face_recognition

 

3.运用包进行人脸对比

#林志玲下载

#奥巴马图片下载

#测试图片下载

import face_recognition

lzl_image = face_recognition.load_image_file("林志玲.jpg")     #林志玲图片
obama_image = face_recognition.load_image_file("奥巴马.jpg")    #奥巴马图片
test_image = face_recognition.load_image_file("test1.jpg")   #测试图片

jobs_encoding = face_recognition.face_encodings(lzl_image)[0]
print(jobs_encoding)

obama_encoding = face_recognition.face_encodings(obama_image)[0]
unknown_encoding = face_recognition.face_encodings(test_image)[0]

results = face_recognition.compare_faces([lzl_encoding, obama_encoding], test_encoding ,tolerance=0.5)   #
labels = [\'林志玲\', \'奥巴马\']    #每个图片的标签

print(\'results:\'+str(results))

for i in range(0, len(results)):
    if results[i] == True:
        print(\'The person is:\'+labels[i])
    else:
        print(\'无\')