Face detection and recognition using golang

Requirements

go-recognizer 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:

# 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. 1. 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
   2. 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.

Usage

To use go-recognizer in your Go code:

import "github.com/leandroveronezi/go-recognizer"

To install go-recognizer in your $GOPATH:

go get github.com/leandroveronezi/go-recognizer

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

Examples

Face detection

package main

import (
	"fmt"
	"github.com/leandroveronezi/go-recognizer"
	"path/filepath"
)

const fotosDir = "fotos"
const dataDir = "models"

func main() {

	rec := recognizer.Recognizer{}
	err := rec.Init(dataDir)

	if err != nil {
		fmt.Println(err)
		return
	}

	rec.Tolerance = 0.4
	rec.UseGray = true
	rec.UseCNN = false
	defer rec.Close()

	faces, err := rec.RecognizeMultiples(filepath.Join(fotosDir, "elenco3.jpg"))

	if err != nil {
		fmt.Println(err)
		return
	}

	img, err := rec.DrawFaces2(filepath.Join(fotosDir, "elenco3.jpg"), faces)

    	if err != nil {
		fmt.Println(err)
		return
	}
	
	rec.SaveImage("faces2.jpeg", img)

}

Face recognition

package main

import (
	"fmt"
	"github.com/leandroveronezi/go-recognizer"
	"path/filepath"
)

const fotosDir = "fotos"
const dataDir = "models"

func addFile(rec *recognizer.Recognizer, Path, Id string) {

	err := rec.AddImageToDataset(Path, Id)

	if err != nil {
		fmt.Println(err)
		return
	}

}

func main() {

	rec := recognizer.Recognizer{}
	err := rec.Init(dataDir)

	if err != nil {
		fmt.Println(err)
		return
	}

	rec.Tolerance = 0.4
	rec.UseGray = true
	rec.UseCNN = false
	defer rec.Close()

	addFile(&rec, filepath.Join(fotosDir, "amy.jpg"), "Amy")
	addFile(&rec, filepath.Join(fotosDir, "bernadette.jpg"), "Bernadette")
	addFile(&rec, filepath.Join(fotosDir, "howard.jpg"), "Howard")
	addFile(&rec, filepath.Join(fotosDir, "penny.jpg"), "Penny")
	addFile(&rec, filepath.Join(fotosDir, "raj.jpg"), "Raj")
	addFile(&rec, filepath.Join(fotosDir, "sheldon.jpg"), "Sheldon")
	addFile(&rec, filepath.Join(fotosDir, "leonard.jpg"), "Leonard")

	rec.SetSamples()

	faces, err := rec.ClassifyMultiples(filepath.Join(fotosDir, "elenco3.jpg"))

	if err != nil {
		fmt.Println(err)
		return
	}

	img, err := rec.DrawFaces(filepath.Join(fotosDir, "elenco3.jpg"), faces)

    	if err != nil {
		fmt.Println(err)
		return
	}
	
	rec.SaveImage("faces.jpg", img)

}