Real-time facial landmarks detection / 摄像头人脸检测并进行特征点标定
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:
.. image:: for_readme/5_landmarks.png :align: center
#. 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
.. image:: for_readme/68_landmarks.png :align: center
.. code-block:: bash
pip3 install -r requirements.txt
About Source Code
Python 源码介绍如下:
#. Use camera in Python / Python OpenCV 调用摄像头;
.. code-block:: python
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;
.. code-block:: python
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;
.. code-block:: python
python3 get_features_from_camera.py:
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