FaceAPI
Note
This is updated face-api.js with latest available TensorFlow/JS as the original face-api.js is not compatible with tfjs 2.0+.
Forked from face-api.js version 0.22.2 released on March 22nd, 2020
Differences
- Removed tests, docs, examples
- Updated all package dependencies
- Compatible with TensorFlow/JS 2.0+
- Updated type casting for TypeScript type checking
- Removed unnecesary package dependencies (karma, jasmine, etc.)
- Typescript build process now targets ES2018 and instead of dual ES5/ES6
- Browser bundle process uses ESBuild instead of Rollup
- New TensorFlow/JS dependencies since backends were removed from @tensorflow/tfjs-core
- Updated mobileNetv1 model due to batchNorm() dependency
- Fully tree shakable when imported as an ESM module
- Added
version
class that returns JSON object with version of FaceAPI as well as linked TFJS - Added calls for
setPlatform
to automatically prepare TFJS in browser - Removed following models as they are either obsolete or non-functional with tfjs 2.0+
- mtcnn: Mostly obsolete
- tinyYolov2: Non-functional since weights are missing
Which means valid models are tinyFaceDetector and mobileNetv1
Due to reduced code and changed build process, resulting bundle is about >5x smaller than the original!
Installation
There are several ways to use Face-API:
Important: This version of Face-Api does NOT pre-package TFJS
to allow for faster downloads (it's much smaller) as well as to allow user to choose version of TFJS to use (it's compatible with any TFJS 2.0+
).
1. IIFE script
Size: 936KB minified
This is simplest way for usage within Browser
Simply download dist/face-api.js
, include it in your HTML
file & it's ready to use.
<script src="https://cdnjs.cloudflare.com/ajax/libs/tensorflow/2.6.0/tf.min.js"></script>
<script src="dist/face-api.js"><script>
For a quick test, you can access the script directly from gitpages
<script src="https://vladmandic.github.io/face-api/dist/face-api.js"></script>
IIFE script auto-registers global namespace faceapi
within Window object.
And if you want to access TensorFlow/JS
classes directly, they are exported as faceapi.tf
2. ESM module
Size: 164KB non-minified
If you're using bundler (such as rollup, webpack, esbuild) to package your client application, you can import ESM version of FaceAPI which supports full tree shaking
Note that this version does NOT pre-package TFJS
, so you'll need to include it before you import FaceAPI
You can use any version of TFJS
2.0+
import * as tf from 'https://cdnjs.cloudflare.com/ajax/libs/tensorflow/2.6.0/tf.min.js';
import * as faceapi from 'dist/face-api.esm.js';
Experimental:
You could use same syntax within your main JS
file if it's imported with <script type="module">
<script src="tf.min.js">
<script src="./index.js" type="module">
and then in index.js
import * as tf from 'https://cdnjs.cloudflare.com/ajax/libs/tensorflow/2.6.0/tf.min.js';
import * as faceapi from 'dist/face-api.esm.js';
3. NPM module
Size: 45,104KB unpacked (including sources and pre-trained model weights)
Simmilar to ESM module, but with full sources as it points to build/src/index.js
instead
Recommended for NodeJS projects
Install with:
npm install @tensorflow/tfjs @vladmandic/face-api
And then use with:
import * as tf from '@tensorflow/tfjs';
import * as faceapi from '@vladmandic/face-api';
Weights
Pretrained models and their weights are includes in ./model
.
Build
If you want to do a full rebuild, either download npm module
npm install @vladmandic/face-api
cd node_modules/@vladmandic/face-api
or clone a git project
git clone https://github.com/vladmandic/face-api
cd face-api
Then install all dependencies and run rebuild:
npm install
npm run build
Which will compile everything in ./src
into ./build
and create both ESM (standard) and IIFE (minified) bundles as well as sourcemaps in ./dist
Documentation
For documentation refer to original project at https://github.com/justadudewhohacks/face-api.js
Example
Single new example that uses both models as well as all of the extensions is included in /example/index.html
Example can be accessed directly using Git pages using URL: https://vladmandic.github.io/face-api/example/
Note: Photos shown below are taken by me