Python实现识别人脸特征并打印出来

通过 Python 的face_recognition模块实现人脸检测功能，首先需要安装好face_recognition包：可通过pycharm直接安装，也可以用pip安装，还可以通过anaconda安装。

示例代码如下：

# -*- coding: utf-8 -*-
# 自动识别人脸特征
# filename : find_facial_features_in_picture.py

from PIL import Image, ImageDraw
import face_recognition

# 将jpg文件加载到numpy 数组中
image = face_recognition.load_image_file("linuxidc.com.jpg")

#查找图像中所有面部的所有面部特征
face_landmarks_list = face_recognition.face_landmarks(image)

print("I found {} face(s) in this photograph.".format(len(face_landmarks_list)))
pil_image = Image.fromarray(image)
d = ImageDraw.Draw(pil_image)
for face_landmarks in face_landmarks_list:
    #打印此图像中每个面部特征的位置
    facial_features = [
        'chin',
        'left_eyebrow',
        'right_eyebrow',
        'nose_bridge',
        'nose_tip',
        'left_eye',
        'right_eye',
        'top_lip',
        'bottom_lip'
    ]
    for facial_feature in facial_features:
        print("The {} in this face has the following points: {}".format(facial_feature, face_landmarks[facial_feature]))
    #在图像中画出每个人脸特征！
    for facial_feature in facial_features:
        d.line(face_landmarks[facial_feature], width=5)

pil_image.show()

自动识别出人脸特征(轮廓)，如下图：

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