tinyface

a tiny go- face based face recongnition lib

Requirements

tinyface require go-face to compile. go-face need to have dlib (>= 19.10) and libjpeg development packages installed.

Ubuntu 18.10+, Debian sid Latest versions of Ubuntu and Debian provide suitable dlib package so just run:

Arch

sudo pacman -S dlib blas atlas lapack libjpeg-turbo

Ubuntu

sudo apt-get install libdlib-dev libblas-dev libatlas-base-dev liblapack-dev libjpeg-turbo8-dev

Debian

sudo apt-get install libdlib-dev libblas-dev libatlas-base-dev liblapack-dev libjpeg62-turbo-dev

macOS

Make sure you have Homebrew installed.

brew install dlib

Windows

Make sure you have MSYS2 installed.

1. Run MSYS2 MSYS shell from Start menu
2. Run pacman -Syu and if it asks you to close the shell do that
3. Run pacman -Syu again
4. Run pacman -S mingw-w64-x86_64-gcc mingw-w64-x86_64-dlib
5. If you already have Go and Git installed and available in PATH uncomment set MSYS2_PATH_TYPE=inherit line in msys2_shell.cmd located in MSYS2 installation folder,Otherwise run pacman -S mingw-w64-x86_64-go git
6. Run MSYS2 MinGW 64-bit shell from Start menu to compile and use go-face

Other systems

Try to install dlib/libjpeg with package manager of your distribution or compile from sources. Note that go-face won't work with old packages of dlib such as libdlib18. Alternatively create issue with the name of your system and someone might help you with the installation process.

reference

• https://github.com/Kagami/go-face
• https://github.com/leandroveronezi/go-recognizer
• https://hackernoon.com/face-recognition-with-go-676a555b8a7e

Models

Currently shape_predictor_5_face_landmarks.dat, mmod_human_face_detector.dat and dlib_face_recognition_resnet_model_v1.dat are required. You may download them from dlib-models repo:

mkdir models && cd models
wget https://github.com/davisking/dlib-models/raw/master/shape_predictor_5_face_landmarks.dat.bz2
bunzip2 shape_predictor_5_face_landmarks.dat.bz2
wget https://github.com/davisking/dlib-models/raw/master/dlib_face_recognition_resnet_model_v1.dat.bz2
bunzip2 dlib_face_recognition_resnet_model_v1.dat.bz2
wget https://github.com/davisking/dlib-models/raw/master/mmod_human_face_detector.dat.bz2
bunzip2 mmod_human_face_detector.dat.bz2

you can also use go-face 's testdata repo