Smart-Home-Control-v2.0

Introduction

Users can control the home appliance through different hand gestures by this program. Detailed project contents and installation tutorials are in the doc folder

Dependence

dlib, Cmake, boost, NumPy, sklearn

Face Recognition Install

The installation of face_recognition require dlib, Cmake and boost. You can install it by using the package which in face_recognition folder.

Install Cmake

Install cmake-3.16.4-win64-x64.msi

Install dlib

Unzip dlib-19.19.zip to any path you want.

1. Use power shell switch the environment where you want to install like ‘conda activate xxx (your environment name)’. Then use the cd command to enter the path you just unzipped.
2. python setup.py install

Install boost

Unzip boost_1_72_0.zip to any path you want

1. Double click bootstrap.bat
2. Switch environment and path
3. b2 install
4. b2 -a --with-python address-model=64 toolset=msvc runtime-link=static

Install face_recognition

pip install face_recognition

Required documents

Unzip 3rdparty and model to project root path

https://drive.google.com/file/d/1ma8e1EdU89hKlzfItkMzA88n3_eEFTRe/view?usp=sharing ---face_recognition package

https://drive.google.com/file/d/1vfRpQ3feUDNvEzO1CtgvnvSKcgmyvphy/view?usp=sharing ---3rdparty and models

References

https://github.com/CMU-Perceptual-Computing-Lab/openpose

https://github.com/ageitgey/face_recognition