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：
