Face detection with landmarks

Introduction

检测人脸, 并进行 5/68 特征点检测 / Detect faces from camera, and draw the 5/68 facial landmarks of faces;

Use "shape_predictor_5_face_landmarks.dat", which is trained on the dlib 5-point face landmark dataset with 7198 faces. and identify the corners of the eyes and bottom of the nose:
Use "shape_predictor_68_face_landmarks.dat", which is trained on the ibug 300-W dataset (https://ibug.doc.ic.ac.uk/resources/facial-point-annotations/)

This model is designed to work well with dlib's HOG face detector and the CNN face detector.

It won't work as well when used with a face detector that produces differently aligned boxes

pip3 install -r requirements.txt

Python 源码介绍如下:

Use camera in Python / Python OpenCV 调用摄像头;
```
python3 how_to_use_camera.py:
```
Show the 68 features points from local images / 显示本地图像文件中的人脸特征;
```
python3 get_features_from_images.py:
```
Real-time facial landmarks detection and draw feature points /这一步将调用摄像头进行实时人脸检测和特征点绘制;
```
python3 get_features_from_camera.py:
```

Thanks for your support.

Name		Name	Last commit message	Last commit date
Latest commit History 30 Commits
data		data
for_readme		for_readme
README.rst		README.rst
get_features_from_camera.py		get_features_from_camera.py
get_features_from_image.py		get_features_from_image.py
how_to_use_camera.py		how_to_use_camera.py
requirements.txt		requirements.txt