利用dlib库进行人脸识别

小灰灰 2022-02-27 06:50 297阅读 0赞

现如今人脸识别的技术已经十分先进了，识别率很高，dlib也是人脸识别常用的一个库，可以检测出人脸上的68个点，并且进行标注，当我们准备自己的人脸数据时，常常用dlib进行数据提取。

首先需要在python中安装dlib

pip install dlib==19.6.1

如果提示无法编译的错误，则需要在python环境中安装cmake，之后再安装dlib就能够成功

dlib人脸检测使用分为两种，一种是对人脸检测后提取整个人脸区域，一种是在人脸上标注特征点

**人脸区域**

import cv2
    import numpy as np
    import time
    import os
    from matplotlib import pyplot as plt
    import dlib
    detector = dlib.get_frontal_face_detector()
    img = cv2.imread('E:\\private\\deeplearning\\dlib\\timg.jpg')
    img_gray = cv2.cvtColor(img, cv2.COLOR_RGB2GRAY)
    faces = detector(img_gray, 1)
    for index, face in enumerate(faces):
        left = face.left()
        top = face.top()
        right = face.right()
        bottom = face.bottom()
        cv2.rectangle(img, (left, top), (right, bottom), (0, 255, 0))
    cv2.imwrite('E:\\private\\deeplearning\\dlib\\timg1.jpg', img)

女神镇楼

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import cv2
    import numpy as np
    import time
    import os
    from matplotlib import pyplot as plt
    import dlib
    
    detector = dlib.get_frontal_face_detector()
    img = cv2.imread('E:\\private\\deeplearning\\dlib\\timg.jpg')
    img_gray = cv2.cvtColor(img, cv2.COLOR_RGB2GRAY)
    predictor = dlib.shape_predictor("shape_predictor_68_face_landmarks.dat")
    faces = detector(img_gray, 1)
    for face in faces:
        shape = predictor(img, face)  # 寻找人脸的68个标定点
        # 遍历所有点，打印出其坐标，并圈出来
        for pt in shape.parts():
            pt_pos = (pt.x, pt.y)
            cv2.circle(img, pt_pos, 2, (0, 255, 0), 2)
    cv2.imwrite('E:\\private\\deeplearning\\dlib\\timg1.jpg', img)

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