编号：A227
大小：59M
环境：Python3.6、OpenCV3.4、dlib、Pycharm2020
简介：：人脸识别深度学习

所需工具和库：

numpy，pandas，dlib，openCV，Pillow，scipy，Click，face_recognition

文件和目录描述：

– cache.py**: used to cache the train image data, so that you don’t have to scan the whole train directory time and again.

– facial_rec.py**: used to train the data with CNN/Hog model and display the labels and boxes around the recognized faces.

– known_encode.csv**: stores the encodings data gathered from train images.

– known_name.csv**: stores the name labels corresponding to the encodings in known_encode.csv

– known**: this directory contains subdirectories with the same name as the name label of the images inside those subdirectories.

– unknown**: this directory contains images to test our face recognition program on.

运行说明：

To cache the train image data present in directory ‘known’, first run cache.py

python cache.py

After the above code run has completed, to train the data and see face recognition happening simultaneously, run facial_rec.py

python facial_rec.py

运行展示

配套文件

我们提供完整项目文件清单如下：
文件目录
├ 1.项目源码
├ 2.运行截图
└ 3.演示视频