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;

1. 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:

   

2. 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

   

• 先安装依赖环境 / Please install python packages: dlib and numpy at first:

pip3 install -r requirements.txt

About Source Code

Python 源码介绍如下:

1. Use camera in Python / Python OpenCV 调用摄像头;

   python3 how_to_use_camera.py:

2. 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:

3. 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:

More

• Author: coneypo
• Mail: coneypo@foxmail.com
• Blog: https://www.cnblogs.com/AdaminXie/p/8472743.html

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