// Copyright (c) 2016-2017 The Regents of the University of California.
// All rights reserved.
//
// Permission is hereby granted, without written agreement and without
// license or royalty fees, to use, copy, modify, and distribute this
// software and its documentation for any purpose, provided that the above
// copyright notice and the following two paragraphs appear in all copies
// of this software.
//
// IN NO EVENT SHALL THE UNIVERSITY OF CALIFORNIA BE LIABLE TO ANY PARTY
// FOR DIRECT, INDIRECT, SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES
// ARISING OUT OF THE USE OF THIS SOFTWARE AND ITS DOCUMENTATION, EVEN IF
// THE UNIVERSITY OF CALIFORNIA HAS BEEN ADVISED OF THE POSSIBILITY OF
// SUCH DAMAGE.
//
// THE UNIVERSITY OF CALIFORNIA SPECIFICALLY DISCLAIMS ANY WARRANTIES,
// INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF
// MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE. THE SOFTWARE
// PROVIDED HEREUNDER IS ON AN "AS IS" BASIS, AND THE UNIVERSITY OF
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//
/** Try me! For 'input', enter /accessors/hosts/browser/demo/computerVision/terraswarmeyes.jpg
* then click 'react to inputs'.
*
* A face detector accessor.
* This accessor detects faces in an input stream.
*
* The options parameter can include the following fields:
* * _value_: The MinFaceSize and MaxFaceSize, which defaults to 50 and 400.
* * _type_: If set to 'JSON'
*
* The implementation for the Ptolemy II host uses
* [https://opencv.org](openCV) which is licensed under a BSD 3-clause license.
*
* @accessor image/FaceDetector
* @input input A stream of images.
* @input options The value and type options.
* @output output The results of filtering the image according to the options
* @output {int} faceCount The number of faces
* @author Ilge Akkaya. Contributor: Christopher Brooks
* @version $$Id$$
*/
// Stop extra messages from jslint. Note that there should be no
// space between the / and the * and global.
/*globals addInputHandler, exports, get, getParameter, input, output, removeInputHandler, require, send */
/*jshint globalstrict: true */
"use strict";
var faceDetector = require('@accessors-modules/face-detector');
exports.setup = function () {
this.input('input');
this.parameter('options', {
'value': '{"MinFaceSize": 50, "MaxFaceSize": 500}',
'type': 'JSON'
});
this.parameter('transform', {
type: 'string',
options: faceDetector.filters,
value: 'faces'
});
this.output('output');
this.output('faceCount', {
'type': 'int'
});
this.output('faces');
};
exports.initialize = function () {
var self = this;
this.addInputHandler('input', function () {
var options = this.getParameter('options');
var transform = this.getParameter('transform');
var image = this.get('input');
faceDetector.filter(image, transform, options, function (result) {
self.send('output', result);
var numFaces = faceDetector.numberOfFaces();
self.send('faceCount', numFaces);
var faces = faceDetector.faceRectangles();
self.send('faces', JSON.stringify(faces));
});
});
};