【有书共读】python带我起飞读书笔记11

import dlib
from skimage import io
detector =dlib.get_frontal_face_detector()
win=dlib.image_window()
img=io.imread("1.jpg")
dets=detector(img,1)
win.set_image(img)
win.add_overlay(dets)

人工智能实战，基于人脸识别来访登记系统

首先安装dlib模块

（1）离线下载dlib模块

（2）pip  install dlib....

接着安装 face_recognition模块

from PIL import Image,ImageDraw
import face_recognition
image =face_recognition.load_image_file("莉哥.jpg")
face_landmarks_list=face_recognition.face_landmarks(image)
for face_landmarks in face_landmarks_list:
pil_image=Image.fromarray(image)
d=ImageDraw.Draw(pil_image)
for facial_feature in face_landmarks.keys():
d.line(face_landmarks[facial_feature],width=5)
pil_image.show()

14.4.3  上图是下面代码效果，使用opencv调用摄像头进行拍照，采用下面代码的前提是安装opencv-python模块，和dlib模块类似

import cv2
from PIL  import Image,ImageDraw,ImageFont
import numpy as np
cap=cv2.VideoCapture(0)
while(1):
ret ,frame=cap.read()
img_PIL=Image.fromarray(cv2.cvtColor(frame,cv2.COLOR_BGR2RGB))
font=ImageFont.truetype('HEITISJ.TTF',40)
draw=ImageDraw.Draw(img_PIL)
draw.text((100,100),'按q键拍照并退出',font=font,fill=(255,255,255))
frame=cv2.cvtColor(np.asarray(img_PIL),cv2.COLOR_RGB2BGR)
cv2.imshow("capture",frame)
if cv2.waitKey(1) & 0xFF==ord('q'):
cv2.imwrite("out.jpg",frame)
break
cap.release()
cv2.destroyAllWindows()