python 人脸轮廓提取_深度学习（PYTORCH）-2.python调用dlib提取人脸68个特征点

在看官方教程时，无意中发现别人写的一个脚本，非常简洁。

官方教程地址：http://pytorch.org/tutorials/beginner/data_loading_tutorial.html#sphx-glr-beginner-data-loading-tutorial-py

使用的是dlib自带的特征点检测库，初期用来测试还是不错的

1 from __future__ import print_function, division

2 import os

3 import torch

4 import pandas as pd

5 from skimage import io, transform

6 import numpy as np

7 import matplotlib.pyplot as plt

8 from torch.utils.data import Dataset, DataLoader

9 from torchvision import transforms, utils

10

11 # Ignore warnings

12 import warnings

13 warnings.filterwarnings("ignore")

14

15 plt.ion() # interactive mode

16

17 landmarks_frame = pd.read_csv('faces/face_landmarks.csv')

18

19 n = 5

20 img_name = landmarks_frame.iloc[n, 0]

21 landmarks = landmarks_frame.iloc[n, 1:].as_matrix()

22 landmarks = landmarks.astype('float').reshape(-1, 2)

23

24 print('Image name: {}'.format(img_name))

25 print('Landmarks shape: {}'.format(landmarks.shape))

26 print('First 4 Landmarks: {}'.format(landmarks[:4]))

27

28 def show_landmarks(image, landmarks):

29 """Show image with landmarks"""

30 plt.imshow(image)

31 plt.scatter(landmarks[:, 0], landmarks[:, 1], s=10, marker='.', c='r')

32 plt.pause(0.001) # pause a bit so that plots are updated

33

34 plt.figure()

35 show_landmarks(io.imread(os.path.join('faces/', img_name)),

36 landmarks)

37 plt.show()

View Code

效果图：