Facerecon
A simplified wrapper for face-api.js.
Install
npm install --save facerecon
Example
Include and declare new Facerecon Object
const Facerecon = ; let fr = ;
First load
Load images of known faces.
Images must be divided into subdirectory for every person, the name of subdirecotry becomes the name of person inside the images. (see Examples)
fr;
Now Facerecon has stored data even for future uses. You can declare alternative locations for storage, the default is './data/know_descriptors.json'
.
Organize Photo by known faces
Load all images inside the '/img/input'
directory, find all known faces and copy them to '/img/output/KNOW_FACE_NAME'
directories.
KNOW_FACE_NAME
is created by Facerecon.
fr;
Count faces
Count the number of faces inside an image
fr;
Options
If you want to add custom options you can pass them in the declaration
let fr = json_know_path: '/know_face.json' //Default: __dirname + '/data/know_descriptors.json', models_path: '/my_models_dir' //Default: __dirname + '/models', debug: '/img/debugImages' //Default: false (no debug images) threshold: 065 //Default: 0.6 verbose: true //Default: false;