【A227】深度学习之Python+OpenCV+dlib编写的人脸识别

2022-07-29 20:48:32      索炜达电子      557     

文件编号:A227

文件大小:59M

开发环境:Python3.6、OpenCV3.4、dlib、Pycharm2020

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简要概述: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

按需写作:

【A227】深度学习之Python+OpenCV+dlib编写的人脸识别

演示视频:

【A227】深度学习之Python+OpenCV+dlib编写的人脸识别

点击查看:系统演示视频

运行结果

【A227】深度学习之Python+OpenCV+dlib编写的人脸识别

【A227】深度学习之Python+OpenCV+dlib编写的人脸识别

【A227】深度学习之Python+OpenCV+dlib编写的人脸识别

【A227】深度学习之Python+OpenCV+dlib编写的人脸识别

【A227】深度学习之Python+OpenCV+dlib编写的人脸识别

远程协助:

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文件目录

 ├ 1.项目源码

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 └ 3.演示视频

TAG人脸识别
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  • 900 分