本周暫時比較清閑，可以保持每日一更的速度。

國外身份證項目新增需求，檢測出身份證正面的人臉。最開始考慮mobilenet-ssd，經同事提醒，有現成的人臉庫dlib，那就用傳統方法嘗試一下。

dlib安裝

dlib的安裝小費一波周折，我的python版本是3.6，直接pip install dlib安裝失敗。https://pypi.org/project/dlib/19.6.0/找到python3.6對應的whl文件下載安裝或者直接pip install dlib==19.6.0 提示Successfully installed dlib-19.6.0安裝成功。事情沒那么簡單，import dlib時報錯： ImportError: DLL load failed: 找不到指定的模塊。

下載dlib-19.8.1-cp36-cp36m-win_amd64.whl然后cd到相應的目錄下?pip install dlib-19.8.1-cp36-cp36m-win_amd64.whl

代碼

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 的正面人臉檢測器 frontal_face_detector

detector = dlib.get_frontal_face_detector()

# 圖片所在路徑

imgs_path = 'test/'

filelist = os.listdir(imgs_path)

# 使用 detector 檢測器來檢測圖像中的人臉

for img_path in filelist:

img = cv2.imread(imgs_path + img_path)

img = resize(img, width=512)

faces = detector(img, 1)

print("人臉數 / 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, "個人臉的矩形框坐標：",

"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)

隨便網上找了張圖測試，效果如下

以上就是本文的全部內容，希望對大家的學習有所幫助

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