系统： Windows8.1 64位
• Anaconda（for python3.6）
• opencv 3.3.1
• dlib 19.8.1
• face-recognition 1.1.0
• face-recognition-models 0.3.0
按先后次序依次安装，用pip或conda直接安装可能会出现很多问题，例如pip opencv 库资源最新到python3.5，所以建议下载对应版本的.whl文件或.gz文件后在再进行pip安装
测试代码：
import face_recognition
import cv2
import sys
def face_reg(file):
# 读取图片并识别人脸
img = face_recognition.load_image_file(file)
face_locations = face_recognition.face_locations(img)
print(face_locations)
# 调用opencv函数显示图片
img = cv2.imread(file)
cv2.imshow("原图", img)
# 遍历每个人脸，并标注
faceNum = len(face_locations)
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.imshow("识别", img)
cv2.waitKey(0)
cv2.destroyAllWindows()
if __name__ == '__main__':
filename = sys.argv[1]
face_reg(filename)
将代码保存为test.py，把测试图片放在同目录下，Shift+右键文件夹打开该目录下的命令窗口(CMD)，输入python test.py xxx（xxx为图片名）
输出结果：
