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A drop-in library for adding face-controlled mouse pointers with computer vision via BRFv4 🙈
A drop-in library for adding face-controlled mouse pointers with computer vision via BRFv4 🙈
yarn init # To update the package with your own labels
yarn # and yarn --only=dev if you have a global NODE_ENV=production, the default on Windows.
yarn dev # Development mode with SASS, templates, and hot-reload on localhost:8080
yarn build # Build the library
npm init # To update the package with your own labels
npm install # and npm install --only=dev if you have a global NODE_ENV=production, the default on Windows.
npm run dev # Development mode with SASS, templates, and hot-reload on localhost:8080
npm run build # Build the library
The actual library is built with /src/main.js
as the starting point. When people npm install monkeysee
and import monkeysee from 'monkeysee'
, they'll be loading this file.
The /sandbox/
scripts are used when developing with yarn dev
and are there to help you in developing your library (/src/main.js
). Your library and /sandbox/index.js
are automatically injected into /sandbox/index.pug
. When you run yarn build
, these files are included in the /dist/
folder which allows you to quickly deploy examples with your library!
You can instatiate MonkeySee with the following config (defaults are shown):
const monkeysee = new MonkeySee({
// Whether to show the debugger or not
debug: false
})
// Starts tracking faces and shows the webcam if debug is on
monkeysee.start()
// Stops the webcam
monkeysee.stop()
// Toggle between start/stop (null), or explicitly set it to on (true) or off (false)
monkeysee.toggle(true|false|null)
// Toggles the debugger on (true), off (false), or flips the state (null)
monkeysee.toggleDebugger(true|false|null)
The debugger is loaded into the first element in the DOM with the .monkeysee-debug-wrap
. If one doesn't exist, then it's added as the last root element of body
.
MonkeySee is built around a plugin architecture, which allows us to easily add and share functionality. We can even disable them!
To add a plugin, use the monkeysee.use({})
method with the following form:
monkeysee.use({
name: '',
// Called once when the use method is called and after the plugin is added to the instance
onUse: () => {},
// Called once per frame, after calculations, along with the detected face object
onFrame: face => {}
})
Uses BRFv4: https://github.com/Tastenkunst/brfv4_javascript_examples Uses Haar Cascade: haarcascade_frontalface_default.xml
Stump-based 24x24 discrete(?) adaboost frontal face detector.
Created by Rainer Lienhart.
////////////////////////////////////////////////////////////////////////////////////////
IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
By downloading, copying, installing or using the software you agree to this license.
If you do not agree to this license, do not download, install,
copy or use the software.
Intel License Agreement
For Open Source Computer Vision Library
Copyright (C) 2000, Intel Corporation, all rights reserved.
Third party copyrights are property of their respective owners.
Redistribution and use in source and binary forms, with or without modification,
are permitted provided that the following conditions are met:
* Redistribution's of source code must retain the above copyright notice,
this list of conditions and the following disclaimer.
* Redistribution's in binary form must reproduce the above copyright notice,
this list of conditions and the following disclaimer in the documentation
and/or other materials provided with the distribution.
* The name of Intel Corporation may not be used to endorse or promote products
derived from this software without specific prior written permission.
This software is provided by the copyright holders and contributors "as is" and
any express or implied warranties, including, but not limited to, the implied
warranties of merchantability and fitness for a particular purpose are disclaimed.
In no event shall the Intel Corporation or contributors be liable for any direct,
indirect, incidental, special, exemplary, or consequential damages
(including, but not limited to, procurement of substitute goods or services;
loss of use, data, or profits; or business interruption) however caused
and on any theory of liability, whether in contract, strict liability,
or tort (including negligence or otherwise) arising in any way out of
the use of this software, even if advised of the possibility of such damage.
FAQs
A drop-in library for adding face-controlled mouse pointers with computer vision via BRFv4 🙈
We found that monkeysee demonstrated a not healthy version release cadence and project activity because the last version was released a year ago. It has 1 open source maintainer collaborating on the project.
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