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opencv.js

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/*M/////////////////////////////////////////////////////////////////////////////////////// // Author: Sajjad Taheri, University of California, Irvine. sajjadt[at]uci[dot]edu // // LICENSE AGREEMENT // Copyright (c) 2015 The Regents of the University of California (Regents) // // Redistribution and use in source and binary forms, with or without // modification, are permitted provided that the following conditions are met: // 1. Redistributions of source code must retain the above copyright // notice, this list of conditions and the following disclaimer. // 2. Redistributions 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. // 3. Neither the name of the University nor the // names of its contributors may 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 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. //M*/ if (typeof module !== 'undefined' && module.exports) { // The envrionment is Node.js var cv = require('../opencv.js'); } QUnit.module ("Video", {}); //QUnit.test("Tracking", function(assert) { // meanShift //{ //} // buildOpticalFlowPyramid //{ //} // DualTVL1OpticalFlow //{ //} //}); QUnit.test("Background Segmentation", function(assert) { // BackgroundSubtractorMOG2 { let history= 600, varThreshold=15, detectShadows=true; let mog2 = new cv.BackgroundSubtractorMOG2(history, varThreshold, detectShadows); assert.equal(mog2 instanceof cv.BackgroundSubtractorMOG2, true); mog2.delete(); mog2 = new cv.BackgroundSubtractorMOG2(); assert.equal(mog2 instanceof cv.BackgroundSubtractorMOG2, true); mog2.delete(); mog2 = new cv.BackgroundSubtractorMOG2(history); assert.equal(mog2 instanceof cv.BackgroundSubtractorMOG2, true); mog2.delete(); mog2 = new cv.BackgroundSubtractorMOG2(history, varThreshold); assert.equal(mog2 instanceof cv.BackgroundSubtractorMOG2, true); mog2.delete(); } });