132 lines
5.5 KiB
JavaScript
132 lines
5.5 KiB
JavaScript
// //////////////////////////////////////////////////////////////////////////////////////
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//
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// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
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//
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// By downloading, copying, installing or using the software you agree to this license.
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// If you do not agree to this license, do not download, install,
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// copy or use the software.
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//
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//
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// License Agreement
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// For Open Source Computer Vision Library
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//
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// Copyright (C) 2013, OpenCV Foundation, all rights reserved.
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// Third party copyrights are property of their respective owners.
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//
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// Redistribution and use in source and binary forms, with or without modification,
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// are permitted provided that the following conditions are met:
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//
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// * Redistribution's of source code must retain the above copyright notice,
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// this list of conditions and the following disclaimer.
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//
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// * Redistribution's in binary form must reproduce the above copyright notice,
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// this list of conditions and the following disclaimer in the documentation
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// and/or other materials provided with the distribution.
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//
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// * The name of the copyright holders may not be used to endorse or promote products
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// derived from this software without specific prior written permission.
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//
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// This software is provided by the copyright holders and contributors "as is" and
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// any express or implied warranties, including, but not limited to, the implied
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// warranties of merchantability and fitness for a particular purpose are disclaimed.
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// In no event shall the Intel Corporation or contributors be liable for any direct,
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// indirect, incidental, special, exemplary, or consequential damages
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// (including, but not limited to, procurement of substitute goods or services;
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// loss of use, data, or profits; or business interruption) however caused
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// and on any theory of liability, whether in contract, strict liability,
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// or tort (including negligence or otherwise) arising in any way out of
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// the use of this software, even if advised of the possibility of such damage.
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//
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// //////////////////////////////////////////////////////////////////////////////////////
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// Author: Sajjad Taheri, University of California, Irvine. sajjadt[at]uci[dot]edu
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//
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// LICENSE AGREEMENT
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// Copyright (c) 2015 The Regents of the University of California (Regents)
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//
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// Redistribution and use in source and binary forms, with or without
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// modification, are permitted provided that the following conditions are met:
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// 1. Redistributions of source code must retain the above copyright
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// notice, this list of conditions and the following disclaimer.
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// 2. Redistributions in binary form must reproduce the above copyright
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// notice, this list of conditions and the following disclaimer in the
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// documentation and/or other materials provided with the distribution.
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// 3. Neither the name of the University nor the
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// names of its contributors may be used to endorse or promote products
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// derived from this software without specific prior written permission.
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//
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// THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS ''AS IS'' AND ANY
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// EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
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// WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
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// DISCLAIMED. IN NO EVENT SHALL CONTRIBUTORS BE LIABLE FOR ANY
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// DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
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// (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
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// LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
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// ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
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// (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
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// SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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//
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if (typeof module !== 'undefined' && module.exports) {
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// The environment is Node.js
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var cv = require('./opencv.js'); // eslint-disable-line no-var
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}
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QUnit.module('Video', {});
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QUnit.test('Background Segmentation', function(assert) {
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// BackgroundSubtractorMOG2
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{
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const history = 600;
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const varThreshold = 15;
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const detectShadows = true;
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let mog2 = new cv.BackgroundSubtractorMOG2(history, varThreshold, detectShadows);
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assert.equal(mog2 instanceof cv.BackgroundSubtractorMOG2, true);
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mog2.delete();
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mog2 = new cv.BackgroundSubtractorMOG2();
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assert.equal(mog2 instanceof cv.BackgroundSubtractorMOG2, true);
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mog2.delete();
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mog2 = new cv.BackgroundSubtractorMOG2(history);
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assert.equal(mog2 instanceof cv.BackgroundSubtractorMOG2, true);
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mog2.delete();
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mog2 = new cv.BackgroundSubtractorMOG2(history, varThreshold);
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assert.equal(mog2 instanceof cv.BackgroundSubtractorMOG2, true);
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mog2.delete();
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}
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});
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QUnit.test('TrackerMIL', function(assert) {
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{
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let src1 = cv.Mat.zeros(100, 100, cv.CV_8UC1);
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let src2 = cv.Mat.zeros(100, 100, cv.CV_8UC1);
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let tracker = new cv.TrackerMIL();
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assert.equal(tracker instanceof cv.TrackerMIL, true);
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assert.equal(tracker instanceof cv.Tracker, true);
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let rect = new cv.Rect(10, 10, 50, 60);
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tracker.init(src1, rect);
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let [updated, rect2] = tracker.update(src2);
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assert.equal(updated, true);
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assert.equal(rect2.width, 50);
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assert.equal(rect2.height, 60);
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tracker.delete();
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src1.delete();
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src2.delete();
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}
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});
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