本周暂时比较清闲，可以保持每日一更的速度。

国外身份证项目新增需求，检测出身份证正面的人脸。最开始考虑mobilenet-ssd，经同事提醒，有现成的人脸库dlib，那就用传统方法尝试一下。

dlib安装

dlib的安装小费一波周折，我的python版本是3.6，直接pip install dlib安装失败。https://pypi.org/project/dlib/19.6.0/找到python3.6对应的whl文件下载安装或者直接pip install dlib==19.6.0 提示Successfully installed dlib-19.6.0安装成功。事情没那么简单，import dlib时报错： ImportError: DLL load failed: 找不到指定的模块。

下载dlib-19.8.1-cp36-cp36m-win_amd64.whl然后cd到相应的目录下 pip install dlib-19.8.1-cp36-cp36m-win_amd64.whl

代码

import dlib

import cv2

import os

def resize(img, width=None, height=None, inter=cv2.INTER_AREA):

"""

initialize the dimensions of the input image and obtain

the image size

"""

dim = None

(h, w) = img.shape[:2]

if width is None and height is None:

return img

if width is None:

r = height / float(h)

dim = (int(w * r), height)

else:

r = width / float(w)

dim = (width, int(h * r))

# resize the image

resized = cv2.resize(img, dim, interpolation=inter)

# return the resized image

return resized

# 使用 Dlib 的正面人脸检测器 frontal_face_detector

detector = dlib.get_frontal_face_detector()

# 图片所在路径

imgs_path = 'test/'

filelist = os.listdir(imgs_path)

# 使用 detector 检测器来检测图像中的人脸

for img_path in filelist:

img = cv2.imread(imgs_path + img_path)

img = resize(img, width=512)

faces = detector(img, 1)

print("人脸数 / Faces in all: ", len(faces))

for i, d in enumerate(faces):

w = d.right() - d.left()

h = d.bottom() - d.top()

d_left = int(d.left() - w * 0.25)

d_right = int(d.right() + w * 0.25)

d_top = int(d.top() - w * 0.70)

d_bottom = int(d.bottom() + w * 0.2)

print("第", i + 1, "个人脸的矩形框坐标：",

"left:", d_left, "right:", d_right, "top:", d_top, "bottom:", d_bottom)

cv2.rectangle(img, tuple([d_left, d_top]), tuple([d_right, d_bottom]), (0, 255, 255), 2)

cv2.imshow("img", img)

cv2.waitKey(0)

cv2.imwrite('./result.jpg',img)

随便网上找了张图测试，效果如下

以上就是本文的全部内容，希望对大家的学习有所帮助

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