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Open Source Computer Vision Library
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987 lines
30 KiB
987 lines
30 KiB
// ////////////////////////////////////////////////////////////////////////////////////// |
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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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// ////////////////////////////////////////////////////////////////////////////////////// |
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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('CoreMat', {}); |
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QUnit.test('test_mat_creation', function(assert) { |
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// Mat constructors. |
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// Mat::Mat(int rows, int cols, int type) |
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{ |
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let mat = new cv.Mat(10, 20, cv.CV_8UC3); |
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assert.equal(mat.type(), cv.CV_8UC3); |
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assert.equal(mat.depth(), cv.CV_8U); |
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assert.equal(mat.channels(), 3); |
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assert.ok(mat.empty() === false); |
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let size = mat.size(); |
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assert.equal(size.height, 10); |
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assert.equal(size.width, 20); |
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mat.delete(); |
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} |
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// Mat::Mat(const Mat &) |
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{ |
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// Copy from another Mat |
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let mat1 = new cv.Mat(10, 20, cv.CV_8UC3); |
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let mat2 = new cv.Mat(mat1); |
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assert.equal(mat2.type(), mat1.type()); |
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assert.equal(mat2.depth(), mat1.depth()); |
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assert.equal(mat2.channels(), mat1.channels()); |
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assert.equal(mat2.empty(), mat1.empty()); |
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let size1 = mat1.size; |
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let size2 = mat2.size(); |
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assert.ok(size1[0] === size2[0]); |
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assert.ok(size1[1] === size2[1]); |
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mat1.delete(); |
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mat2.delete(); |
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} |
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// Mat::Mat(int rows, int cols, int type, void *data, size_t step=AUTO_STEP) |
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{ |
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// 10 * 10 and one channel |
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let data = cv._malloc(10 * 10 * 1); |
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let mat = new cv.Mat(10, 10, cv.CV_8UC1, data, 0); |
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assert.equal(mat.type(), cv.CV_8UC1); |
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assert.equal(mat.depth(), cv.CV_8U); |
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assert.equal(mat.channels(), 1); |
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assert.ok(mat.empty() === false); |
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let size = mat.size(); |
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assert.ok(size.height === 10); |
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assert.ok(size.width === 10); |
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mat.delete(); |
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} |
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// Mat::Mat(int rows, int cols, int type, const Scalar& scalar) |
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{ |
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// 2 * 2 8UC4 mat |
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let mat = new cv.Mat(2, 2, cv.CV_8UC4, [0, 1, 2, 3]); |
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for (let r = 0; r < mat.rows; r++) { |
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for (let c = 0; c < mat.cols; c++) { |
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let element = mat.ptr(r, c); |
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assert.equal(element[0], 0); |
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assert.equal(element[1], 1); |
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assert.equal(element[2], 2); |
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assert.equal(element[3], 3); |
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} |
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} |
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mat.delete(); |
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} |
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// Mat::create(int, int, int) |
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{ |
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let mat = new cv.Mat(); |
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mat.create(10, 5, cv.CV_8UC3); |
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let size = mat.size(); |
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assert.ok(mat.type() === cv.CV_8UC3); |
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assert.ok(size.height === 10); |
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assert.ok(size.width === 5); |
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assert.ok(mat.channels() === 3); |
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mat.delete(); |
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} |
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// Mat::create(Size, int) |
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{ |
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let mat = new cv.Mat(); |
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mat.create({height: 10, width: 5}, cv.CV_8UC4); |
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let size = mat.size(); |
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assert.ok(mat.type() === cv.CV_8UC4); |
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assert.ok(size.height === 10); |
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assert.ok(size.width === 5); |
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assert.ok(mat.channels() === 4); |
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mat.delete(); |
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} |
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// clone |
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{ |
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let mat = cv.Mat.ones(5, 5, cv.CV_8UC1); |
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let mat2 = mat.clone(); |
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assert.equal(mat.channels, mat2.channels); |
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assert.equal(mat.size().height, mat2.size().height); |
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assert.equal(mat.size().width, mat2.size().width); |
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assert.deepEqual(mat.data, mat2.data); |
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mat.delete(); |
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mat2.delete(); |
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} |
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// copyTo |
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{ |
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let mat = cv.Mat.ones(5, 5, cv.CV_8UC1); |
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let mat2 = new cv.Mat(); |
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mat.copyTo(mat2); |
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assert.equal(mat.channels, mat2.channels); |
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assert.equal(mat.size().height, mat2.size().height); |
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assert.equal(mat.size().width, mat2.size().width); |
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assert.deepEqual(mat.data, mat2.data); |
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mat.delete(); |
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mat2.delete(); |
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} |
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// copyTo1 |
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{ |
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let mat = cv.Mat.ones(5, 5, cv.CV_8UC1); |
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let mat2 = new cv.Mat(); |
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let mask = new cv.Mat(5, 5, cv.CV_8UC1, new cv.Scalar(1)); |
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mat.copyTo(mat2, mask); |
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assert.equal(mat.channels, mat2.channels); |
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assert.equal(mat.size().height, mat2.size().height); |
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assert.equal(mat.size().width, mat2.size().width); |
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assert.deepEqual(mat.data, mat2.data); |
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mat.delete(); |
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mat2.delete(); |
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mask.delete(); |
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} |
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// matFromArray |
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{ |
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let arrayC1 = [0, -1, 2, -3]; |
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let arrayC2 = [0, -1, 2, -3, 4, -5, 6, -7]; |
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let arrayC3 = [0, -1, 2, -3, 4, -5, 6, -7, 9, -9, 10, -11]; |
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let arrayC4 = [0, -1, 2, -3, 4, -5, 6, -7, 8, -9, 10, -11, 12, 13, 14, 15]; |
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let mat8UC1 = cv.matFromArray(2, 2, cv.CV_8UC1, arrayC1); |
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let mat8UC2 = cv.matFromArray(2, 2, cv.CV_8UC2, arrayC2); |
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let mat8UC3 = cv.matFromArray(2, 2, cv.CV_8UC3, arrayC3); |
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let mat8UC4 = cv.matFromArray(2, 2, cv.CV_8UC4, arrayC4); |
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let mat8SC1 = cv.matFromArray(2, 2, cv.CV_8SC1, arrayC1); |
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let mat8SC2 = cv.matFromArray(2, 2, cv.CV_8SC2, arrayC2); |
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let mat8SC3 = cv.matFromArray(2, 2, cv.CV_8SC3, arrayC3); |
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let mat8SC4 = cv.matFromArray(2, 2, cv.CV_8SC4, arrayC4); |
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let mat16UC1 = cv.matFromArray(2, 2, cv.CV_16UC1, arrayC1); |
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let mat16UC2 = cv.matFromArray(2, 2, cv.CV_16UC2, arrayC2); |
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let mat16UC3 = cv.matFromArray(2, 2, cv.CV_16UC3, arrayC3); |
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let mat16UC4 = cv.matFromArray(2, 2, cv.CV_16UC4, arrayC4); |
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let mat16SC1 = cv.matFromArray(2, 2, cv.CV_16SC1, arrayC1); |
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let mat16SC2 = cv.matFromArray(2, 2, cv.CV_16SC2, arrayC2); |
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let mat16SC3 = cv.matFromArray(2, 2, cv.CV_16SC3, arrayC3); |
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let mat16SC4 = cv.matFromArray(2, 2, cv.CV_16SC4, arrayC4); |
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let mat32SC1 = cv.matFromArray(2, 2, cv.CV_32SC1, arrayC1); |
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let mat32SC2 = cv.matFromArray(2, 2, cv.CV_32SC2, arrayC2); |
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let mat32SC3 = cv.matFromArray(2, 2, cv.CV_32SC3, arrayC3); |
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let mat32SC4 = cv.matFromArray(2, 2, cv.CV_32SC4, arrayC4); |
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let mat32FC1 = cv.matFromArray(2, 2, cv.CV_32FC1, arrayC1); |
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let mat32FC2 = cv.matFromArray(2, 2, cv.CV_32FC2, arrayC2); |
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let mat32FC3 = cv.matFromArray(2, 2, cv.CV_32FC3, arrayC3); |
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let mat32FC4 = cv.matFromArray(2, 2, cv.CV_32FC4, arrayC4); |
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let mat64FC1 = cv.matFromArray(2, 2, cv.CV_64FC1, arrayC1); |
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let mat64FC2 = cv.matFromArray(2, 2, cv.CV_64FC2, arrayC2); |
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let mat64FC3 = cv.matFromArray(2, 2, cv.CV_64FC3, arrayC3); |
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let mat64FC4 = cv.matFromArray(2, 2, cv.CV_64FC4, arrayC4); |
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assert.deepEqual(mat8UC1.data, new Uint8Array(arrayC1)); |
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assert.deepEqual(mat8UC2.data, new Uint8Array(arrayC2)); |
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assert.deepEqual(mat8UC3.data, new Uint8Array(arrayC3)); |
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assert.deepEqual(mat8UC4.data, new Uint8Array(arrayC4)); |
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assert.deepEqual(mat8SC1.data8S, new Int8Array(arrayC1)); |
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assert.deepEqual(mat8SC2.data8S, new Int8Array(arrayC2)); |
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assert.deepEqual(mat8SC3.data8S, new Int8Array(arrayC3)); |
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assert.deepEqual(mat8SC4.data8S, new Int8Array(arrayC4)); |
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assert.deepEqual(mat16UC1.data16U, new Uint16Array(arrayC1)); |
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assert.deepEqual(mat16UC2.data16U, new Uint16Array(arrayC2)); |
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assert.deepEqual(mat16UC3.data16U, new Uint16Array(arrayC3)); |
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assert.deepEqual(mat16UC4.data16U, new Uint16Array(arrayC4)); |
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assert.deepEqual(mat16SC1.data16S, new Int16Array(arrayC1)); |
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assert.deepEqual(mat16SC2.data16S, new Int16Array(arrayC2)); |
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assert.deepEqual(mat16SC3.data16S, new Int16Array(arrayC3)); |
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assert.deepEqual(mat16SC4.data16S, new Int16Array(arrayC4)); |
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assert.deepEqual(mat32SC1.data32S, new Int32Array(arrayC1)); |
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assert.deepEqual(mat32SC2.data32S, new Int32Array(arrayC2)); |
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assert.deepEqual(mat32SC3.data32S, new Int32Array(arrayC3)); |
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assert.deepEqual(mat32SC4.data32S, new Int32Array(arrayC4)); |
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assert.deepEqual(mat32FC1.data32F, new Float32Array(arrayC1)); |
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assert.deepEqual(mat32FC2.data32F, new Float32Array(arrayC2)); |
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assert.deepEqual(mat32FC3.data32F, new Float32Array(arrayC3)); |
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assert.deepEqual(mat32FC4.data32F, new Float32Array(arrayC4)); |
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assert.deepEqual(mat64FC1.data64F, new Float64Array(arrayC1)); |
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assert.deepEqual(mat64FC2.data64F, new Float64Array(arrayC2)); |
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assert.deepEqual(mat64FC3.data64F, new Float64Array(arrayC3)); |
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assert.deepEqual(mat64FC4.data64F, new Float64Array(arrayC4)); |
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mat8UC1.delete(); |
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mat8UC2.delete(); |
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mat8UC3.delete(); |
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mat8UC4.delete(); |
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mat8SC1.delete(); |
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mat8SC2.delete(); |
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mat8SC3.delete(); |
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mat8SC4.delete(); |
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mat16UC1.delete(); |
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mat16UC2.delete(); |
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mat16UC3.delete(); |
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mat16UC4.delete(); |
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mat16SC1.delete(); |
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mat16SC2.delete(); |
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mat16SC3.delete(); |
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mat16SC4.delete(); |
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mat32SC1.delete(); |
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mat32SC2.delete(); |
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mat32SC3.delete(); |
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mat32SC4.delete(); |
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mat32FC1.delete(); |
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mat32FC2.delete(); |
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mat32FC3.delete(); |
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mat32FC4.delete(); |
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mat64FC1.delete(); |
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mat64FC2.delete(); |
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mat64FC3.delete(); |
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mat64FC4.delete(); |
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} |
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// matFromImageData |
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{ |
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// Only test in browser |
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if (typeof window === 'undefined') { |
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return; |
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} |
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let canvas = window.document.createElement('canvas'); |
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canvas.width = 2; |
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canvas.height = 2; |
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let ctx = canvas.getContext('2d'); |
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ctx.fillStyle='#FF0000'; |
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ctx.fillRect(0, 0, 1, 1); |
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ctx.fillRect(1, 1, 1, 1); |
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let imageData = ctx.getImageData(0, 0, 2, 2); |
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let mat = cv.matFromImageData(imageData); |
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assert.deepEqual(mat.data, new Uint8Array(imageData.data)); |
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mat.delete(); |
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} |
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// Mat(mat) |
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{ |
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let mat = new cv.Mat(2, 2, cv.CV_8UC4, new cv.Scalar(1, 0, 1, 0)); |
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let mat1 = new cv.Mat(mat); |
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let mat2 = mat; |
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assert.equal(mat.rows, mat1.rows); |
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assert.equal(mat.cols, mat1.cols); |
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assert.equal(mat.type(), mat1.type()); |
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assert.deepEqual(mat.data, mat1.data); |
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mat.delete(); |
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assert.equal(mat1.isDeleted(), false); |
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assert.equal(mat2.isDeleted(), true); |
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mat1.delete(); |
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} |
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// mat.setTo |
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{ |
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let mat = new cv.Mat(2, 2, cv.CV_8UC4); |
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let s = [0, 1, 2, 3]; |
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mat.setTo(s); |
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assert.deepEqual(mat.ptr(0, 0), new Uint8Array(s)); |
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assert.deepEqual(mat.ptr(0, 1), new Uint8Array(s)); |
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assert.deepEqual(mat.ptr(1, 0), new Uint8Array(s)); |
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assert.deepEqual(mat.ptr(1, 1), new Uint8Array(s)); |
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let s1 = [0, 0, 0, 0]; |
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mat.setTo(s1); |
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let mask = cv.matFromArray(2, 2, cv.CV_8UC1, [0, 1, 0, 1]); |
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mat.setTo(s, mask); |
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assert.deepEqual(mat.ptr(0, 0), new Uint8Array(s1)); |
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assert.deepEqual(mat.ptr(0, 1), new Uint8Array(s)); |
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assert.deepEqual(mat.ptr(1, 0), new Uint8Array(s1)); |
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assert.deepEqual(mat.ptr(1, 1), new Uint8Array(s)); |
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mat.delete(); |
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mask.delete(); |
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} |
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}); |
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QUnit.test('test_mat_ptr', function(assert) { |
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const RValue = 3; |
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const GValue = 7; |
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const BValue = 197; |
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// cv.CV_8UC1 + Mat::ptr(int). |
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{ |
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let mat = new cv.Mat(10, 10, cv.CV_8UC1); |
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let view = mat.data; |
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// Alter matrix[2, 1]. |
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let step = 10; |
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view[2 * step + 1] = RValue; |
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// Access matrix[2, 1]. |
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view = mat.ptr(2); |
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assert.equal(view[1], RValue); |
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mat.delete(); |
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} |
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// cv.CV_8UC3 + Mat::ptr(int). |
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{ |
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let mat = new cv.Mat(10, 10, cv.CV_8UC3); |
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let view = mat.data; |
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// Alter matrix[2, 1]. |
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let step = 3 * 10; |
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view[2 * step + 3] = RValue; |
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view[2 * step + 3 + 1] = GValue; |
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view[2 * step + 3 + 2] = BValue; |
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// Access matrix[2, 1]. |
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view = mat.ptr(2); |
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assert.equal(view[3], RValue); |
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assert.equal(view[3 + 1], GValue); |
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assert.equal(view[3 + 2], BValue); |
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mat.delete(); |
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} |
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// cv.CV_8UC3 + Mat::ptr(int, int). |
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{ |
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let mat = new cv.Mat(10, 10, cv.CV_8UC3); |
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let view = mat.data; |
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// Alter matrix[2, 1]. |
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let step = 3 * 10; |
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view[2 * step + 3] = RValue; |
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view[2 * step + 3 + 1] = GValue; |
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view[2 * step + 3 + 2] = BValue; |
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// Access matrix[2, 1]. |
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view = mat.ptr(2, 1); |
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assert.equal(view[0], RValue); |
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assert.equal(view[1], GValue); |
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assert.equal(view[2], BValue); |
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mat.delete(); |
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} |
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const RValueF32 = 3.3; |
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const GValueF32 = 7.3; |
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const BValueF32 = 197.3; |
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const EPSILON = 0.001; |
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// cv.CV_32FC1 + Mat::ptr(int). |
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{ |
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let mat = new cv.Mat(10, 10, cv.CV_32FC1); |
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let view = mat.data32F; |
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// Alter matrix[2, 1]. |
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let step = 10; |
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view[2 * step + 1] = RValueF32; |
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// Access matrix[2, 1]. |
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view = mat.floatPtr(2); |
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assert.ok(Math.abs(view[1] - RValueF32) < EPSILON); |
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mat.delete(); |
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} |
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// cv.CV_32FC3 + Mat::ptr(int). |
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{ |
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let mat = new cv.Mat(10, 10, cv.CV_32FC3); |
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let view = mat.data32F; |
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// Alter matrix[2, 1]. |
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let step = mat.step1(0); |
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view[2 * step + 3] = RValueF32; |
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view[2 * step + 3 + 1] = GValueF32; |
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view[2 * step + 3 + 2] = BValueF32; |
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// Access matrix[2, 1]. |
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view = mat.floatPtr(2); |
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assert.ok(Math.abs(view[3] - RValueF32) < EPSILON); |
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assert.ok(Math.abs(view[3 + 1] - GValueF32) < EPSILON); |
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assert.ok(Math.abs(view[3 + 2] - BValueF32) < EPSILON); |
|
|
|
mat.delete(); |
|
} |
|
|
|
// cv.CV_32FC3 + Mat::ptr(int, int). |
|
{ |
|
let mat = new cv.Mat(10, 10, cv.CV_32FC3); |
|
let view = mat.data32F; |
|
|
|
// Alter matrix[2, 1]. |
|
let step = mat.step1(0); |
|
view[2 * step + 3] = RValueF32; |
|
view[2 * step + 3 + 1] = GValueF32; |
|
view[2 * step + 3 + 2] = BValueF32; |
|
|
|
// Access matrix[2, 1]. |
|
view = mat.floatPtr(2, 1); |
|
|
|
assert.ok(Math.abs(view[0] - RValueF32) < EPSILON); |
|
assert.ok(Math.abs(view[1] - GValueF32) < EPSILON); |
|
assert.ok(Math.abs(view[2] - BValueF32) < EPSILON); |
|
|
|
mat.delete(); |
|
} |
|
}); |
|
|
|
QUnit.test('test_mat_zeros', function(assert) { |
|
let zeros = new Uint8Array(10*10).fill(0); |
|
// Mat::zeros(int, int, int) |
|
{ |
|
let mat = cv.Mat.zeros(10, 10, cv.CV_8UC1); |
|
let view = mat.data; |
|
|
|
assert.deepEqual(view, zeros); |
|
|
|
mat.delete(); |
|
} |
|
|
|
// Mat::zeros(Size, int) |
|
{ |
|
let mat = cv.Mat.zeros({height: 10, width: 10}, cv.CV_8UC1); |
|
let view = mat.data; |
|
|
|
assert.deepEqual(view, zeros); |
|
|
|
mat.delete(); |
|
} |
|
}); |
|
|
|
QUnit.test('test_mat_ones', function(assert) { |
|
let ones = new Uint8Array(10*10).fill(1); |
|
// Mat::ones(int, int, int) |
|
{ |
|
let mat = cv.Mat.ones(10, 10, cv.CV_8UC1); |
|
let view = mat.data; |
|
|
|
assert.deepEqual(view, ones); |
|
} |
|
// Mat::ones(Size, int) |
|
{ |
|
let mat = cv.Mat.ones({height: 10, width: 10}, cv.CV_8UC1); |
|
let view = mat.data; |
|
|
|
assert.deepEqual(view, ones); |
|
} |
|
}); |
|
|
|
QUnit.test('test_mat_eye', function(assert) { |
|
let eye4by4 = new Uint8Array([1, 0, 0, 0, |
|
0, 1, 0, 0, |
|
0, 0, 1, 0, |
|
0, 0, 0, 1]); |
|
// Mat::eye(int, int, int) |
|
{ |
|
let mat = cv.Mat.eye(4, 4, cv.CV_8UC1); |
|
let view = mat.data; |
|
|
|
assert.deepEqual(view, eye4by4); |
|
} |
|
|
|
// Mat::eye(Size, int) |
|
{ |
|
let mat = cv.Mat.eye({height: 4, width: 4}, cv.CV_8UC1); |
|
let view = mat.data; |
|
|
|
assert.deepEqual(view, eye4by4); |
|
} |
|
}); |
|
|
|
QUnit.test('test_mat_miscs', function(assert) { |
|
// Mat::col(int) |
|
{ |
|
let mat = cv.matFromArray(2, 2, cv.CV_8UC2, [1, 2, 3, 4, 5, 6, 7, 8]); |
|
let col = mat.col(1); |
|
|
|
assert.equal(col.isContinuous(), false); |
|
assert.equal(col.ptr(0, 0)[0], 3); |
|
assert.equal(col.ptr(0, 0)[1], 4); |
|
assert.equal(col.ptr(1, 0)[0], 7); |
|
assert.equal(col.ptr(1, 0)[1], 8); |
|
|
|
col.delete(); |
|
mat.delete(); |
|
} |
|
|
|
// Mat::row(int) |
|
{ |
|
let mat = cv.Mat.zeros(5, 5, cv.CV_8UC2); |
|
let row = mat.row(1); |
|
let view = row.data; |
|
assert.equal(view[0], 0); |
|
assert.equal(view[4], 0); |
|
|
|
row.delete(); |
|
mat.delete(); |
|
} |
|
|
|
// Mat::convertTo(Mat, int, double, double) |
|
{ |
|
let mat = cv.Mat.ones(5, 5, cv.CV_8UC3); |
|
let grayMat = cv.Mat.zeros(5, 5, cv.CV_8UC1); |
|
|
|
mat.convertTo(grayMat, cv.CV_8U, 2, 1); |
|
// dest = 2 * source(x, y) + 1. |
|
let view = grayMat.data; |
|
assert.equal(view[0], (1 * 2) + 1); |
|
|
|
mat.convertTo(grayMat, cv.CV_8U); |
|
// dest = 1 * source(x, y) + 0. |
|
assert.equal(view[0], 1); |
|
|
|
mat.convertTo(grayMat, cv.CV_8U, 2); |
|
// dest = 2 * source(x, y) + 0. |
|
assert.equal(view[0], 2); |
|
|
|
grayMat.delete(); |
|
mat.delete(); |
|
} |
|
|
|
// split |
|
{ |
|
const R =7; |
|
const G =13; |
|
const B =29; |
|
|
|
let mat = cv.Mat.ones(5, 5, cv.CV_8UC3); |
|
let view = mat.data; |
|
view[0] = R; |
|
view[1] = G; |
|
view[2] = B; |
|
|
|
let bgrPlanes = new cv.MatVector(); |
|
cv.split(mat, bgrPlanes); |
|
assert.equal(bgrPlanes.size(), 3); |
|
|
|
let rMat = bgrPlanes.get(0); |
|
view = rMat.data; |
|
assert.equal(view[0], R); |
|
|
|
let gMat = bgrPlanes.get(1); |
|
view = gMat.data; |
|
assert.equal(view[0], G); |
|
|
|
let bMat = bgrPlanes.get(2); |
|
view = bMat.data; |
|
assert.equal(view[0], B); |
|
|
|
mat.delete(); |
|
rMat.delete(); |
|
gMat.delete(); |
|
bgrPlanes.delete(); |
|
bMat.delete(); |
|
} |
|
|
|
// elemSize |
|
{ |
|
let mat = cv.Mat.ones(5, 5, cv.CV_8UC3); |
|
assert.equal(mat.elemSize(), 3); |
|
assert.equal(mat.elemSize1(), 1); |
|
|
|
let mat2 = cv.Mat.zeros(5, 5, cv.CV_8UC1); |
|
assert.equal(mat2.elemSize(), 1); |
|
assert.equal(mat2.elemSize1(), 1); |
|
|
|
let mat3 = cv.Mat.eye(5, 5, cv.CV_16UC3); |
|
assert.equal(mat3.elemSize(), 2 * 3); |
|
assert.equal(mat3.elemSize1(), 2); |
|
|
|
mat.delete(); |
|
mat2.delete(); |
|
mat3.delete(); |
|
} |
|
|
|
// step |
|
{ |
|
let mat = cv.Mat.ones(5, 5, cv.CV_8UC3); |
|
assert.equal(mat.step[0], 15); |
|
assert.equal(mat.step[1], 3); |
|
|
|
let mat2 = cv.Mat.zeros(5, 5, cv.CV_8UC1); |
|
assert.equal(mat2.step[0], 5); |
|
assert.equal(mat2.step[1], 1); |
|
|
|
let mat3 = cv.Mat.eye(5, 5, cv.CV_16UC3); |
|
assert.equal(mat3.step[0], 30); |
|
assert.equal(mat3.step[1], 6); |
|
|
|
mat.delete(); |
|
mat2.delete(); |
|
mat3.delete(); |
|
} |
|
|
|
// dot |
|
{ |
|
let mat = cv.Mat.ones(5, 5, cv.CV_8UC1); |
|
let mat2 = cv.Mat.eye(5, 5, cv.CV_8UC1); |
|
|
|
assert.equal(mat.dot(mat), 25); |
|
assert.equal(mat.dot(mat2), 5); |
|
assert.equal(mat2.dot(mat2), 5); |
|
|
|
mat.delete(); |
|
mat2.delete(); |
|
} |
|
|
|
// mul |
|
{ |
|
const FACTOR = 5; |
|
let mat = cv.Mat.ones(4, 4, cv.CV_8UC1); |
|
let mat2 = cv.Mat.eye(4, 4, cv.CV_8UC1); |
|
|
|
let expected = new Uint8Array([FACTOR, 0, 0, 0, |
|
0, FACTOR, 0, 0, |
|
0, 0, FACTOR, 0, |
|
0, 0, 0, FACTOR]); |
|
let mat3 = mat.mul(mat2, FACTOR); |
|
|
|
assert.deepEqual(mat3.data, expected); |
|
|
|
mat.delete(); |
|
mat2.delete(); |
|
mat3.delete(); |
|
} |
|
}); |
|
|
|
|
|
QUnit.test('test mat access', function(assert) { |
|
// test memory view |
|
{ |
|
let data = new Uint8Array([0, 0, 0, 255, 0, 1, 2, 3]); |
|
let dataPtr = cv._malloc(8); |
|
|
|
let dataHeap = new Uint8Array(cv.HEAPU8.buffer, dataPtr, 8); |
|
dataHeap.set(new Uint8Array(data.buffer)); |
|
|
|
let mat = new cv.Mat(8, 1, cv.CV_8UC1, dataPtr, 0); |
|
|
|
|
|
let unsignedCharView = new Uint8Array(data.buffer); |
|
let charView = new Int8Array(data.buffer); |
|
let shortView = new Int16Array(data.buffer); |
|
let unsignedShortView = new Uint16Array(data.buffer); |
|
let intView = new Int32Array(data.buffer); |
|
let float32View = new Float32Array(data.buffer); |
|
let float64View = new Float64Array(data.buffer); |
|
|
|
|
|
assert.deepEqual(unsignedCharView, mat.data); |
|
assert.deepEqual(charView, mat.data8S); |
|
assert.deepEqual(shortView, mat.data16S); |
|
assert.deepEqual(unsignedShortView, mat.data16U); |
|
assert.deepEqual(intView, mat.data32S); |
|
assert.deepEqual(float32View, mat.data32F); |
|
assert.deepEqual(float64View, mat.data64F); |
|
} |
|
|
|
// test ucharAt(i) |
|
{ |
|
let data = new Uint8Array([0, 0, 0, 255, 0, 1, 2, 3]); |
|
let dataPtr = cv._malloc(8); |
|
|
|
let dataHeap = new Uint8Array(cv.HEAPU8.buffer, dataPtr, 8); |
|
dataHeap.set(new Uint8Array(data.buffer)); |
|
|
|
let mat = new cv.Mat(8, 1, cv.CV_8UC1, dataPtr, 0); |
|
|
|
assert.equal(mat.ucharAt(0), 0); |
|
assert.equal(mat.ucharAt(1), 0); |
|
assert.equal(mat.ucharAt(2), 0); |
|
assert.equal(mat.ucharAt(3), 255); |
|
assert.equal(mat.ucharAt(4), 0); |
|
assert.equal(mat.ucharAt(5), 1); |
|
assert.equal(mat.ucharAt(6), 2); |
|
assert.equal(mat.ucharAt(7), 3); |
|
} |
|
|
|
// test ushortAt(i) |
|
{ |
|
let data = new Uint16Array([0, 1000, 65000, 255, 0, 1, 2, 3]); |
|
let dataPtr = cv._malloc(16); |
|
|
|
let dataHeap = new Uint16Array(cv.HEAPU8.buffer, dataPtr, 8); |
|
dataHeap.set(new Uint16Array(data.buffer)); |
|
|
|
let mat = new cv.Mat(8, 1, cv.CV_16SC1, dataPtr, 0); |
|
|
|
assert.equal(mat.ushortAt(0), 0); |
|
assert.equal(mat.ushortAt(1), 1000); |
|
assert.equal(mat.ushortAt(2), 65000); |
|
assert.equal(mat.ushortAt(3), 255); |
|
assert.equal(mat.ushortAt(4), 0); |
|
assert.equal(mat.ushortAt(5), 1); |
|
assert.equal(mat.ushortAt(6), 2); |
|
assert.equal(mat.ushortAt(7), 3); |
|
} |
|
|
|
// test intAt(i) |
|
{ |
|
let data = new Int32Array([0, -1000, 65000, 255, -2000000, -1, 2, 3]); |
|
let dataPtr = cv._malloc(32); |
|
|
|
let dataHeap = new Int32Array(cv.HEAPU32.buffer, dataPtr, 8); |
|
dataHeap.set(new Int32Array(data.buffer)); |
|
|
|
let mat = new cv.Mat(8, 1, cv.CV_32SC1, dataPtr, 0); |
|
|
|
assert.equal(mat.intAt(0), 0); |
|
assert.equal(mat.intAt(1), -1000); |
|
assert.equal(mat.intAt(2), 65000); |
|
assert.equal(mat.intAt(3), 255); |
|
assert.equal(mat.intAt(4), -2000000); |
|
assert.equal(mat.intAt(5), -1); |
|
assert.equal(mat.intAt(6), 2); |
|
assert.equal(mat.intAt(7), 3); |
|
} |
|
|
|
// test floatAt(i) |
|
{ |
|
const EPSILON = 0.001; |
|
let data = new Float32Array([0, -10.5, 650.001, 255, -20.1, -1.2, 2, 3.5]); |
|
let dataPtr = cv._malloc(32); |
|
|
|
let dataHeap = new Float32Array(cv.HEAPU32.buffer, dataPtr, 8); |
|
dataHeap.set(new Float32Array(data.buffer)); |
|
|
|
let mat = new cv.Mat(8, 1, cv.CV_32FC1, dataPtr, 0); |
|
|
|
assert.equal(Math.abs(mat.floatAt(0)-0) < EPSILON, true); |
|
assert.equal(Math.abs(mat.floatAt(1)+10.5) < EPSILON, true); |
|
assert.equal(Math.abs(mat.floatAt(2)-650.001) < EPSILON, true); |
|
assert.equal(Math.abs(mat.floatAt(3)-255) < EPSILON, true); |
|
assert.equal(Math.abs(mat.floatAt(4)+20.1) < EPSILON, true); |
|
assert.equal(Math.abs(mat.floatAt(5)+1.2) < EPSILON, true); |
|
assert.equal(Math.abs(mat.floatAt(6)-2) < EPSILON, true); |
|
assert.equal(Math.abs(mat.floatAt(7)-3.5) < EPSILON, true); |
|
} |
|
|
|
// test intAt(i,j) |
|
{ |
|
let mat = cv.Mat.eye({height: 3, width: 3}, cv.CV_32SC1); |
|
|
|
assert.equal(mat.intAt(0, 0), 1); |
|
assert.equal(mat.intAt(0, 1), 0); |
|
assert.equal(mat.intAt(0, 2), 0); |
|
assert.equal(mat.intAt(1, 0), 0); |
|
assert.equal(mat.intAt(1, 1), 1); |
|
assert.equal(mat.intAt(1, 2), 0); |
|
assert.equal(mat.intAt(2, 0), 0); |
|
assert.equal(mat.intAt(2, 1), 0); |
|
assert.equal(mat.intAt(2, 2), 1); |
|
|
|
mat.delete(); |
|
} |
|
}); |
|
|
|
QUnit.test('test_mat_operations', function(assert) { |
|
// test minMaxLoc |
|
{ |
|
let src = cv.Mat.ones(4, 4, cv.CV_8UC1); |
|
|
|
src.data[2] = 0; |
|
src.data[5] = 2; |
|
|
|
let result = cv.minMaxLoc(src); |
|
|
|
assert.equal(result.minVal, 0); |
|
assert.equal(result.maxVal, 2); |
|
assert.deepEqual(result.minLoc, {x: 2, y: 0}); |
|
assert.deepEqual(result.maxLoc, {x: 1, y: 1}); |
|
|
|
src.delete(); |
|
} |
|
}); |
|
|
|
QUnit.test('test_mat_roi', function(assert) { |
|
// test minMaxLoc |
|
{ |
|
let mat = cv.matFromArray(2, 2, cv.CV_8UC1, [0, 1, 2, 3]); |
|
let roi = mat.roi(new cv.Rect(1, 1, 1, 1)); |
|
|
|
assert.equal(roi.rows, 1); |
|
assert.equal(roi.cols, 1); |
|
assert.deepEqual(roi.data, new Uint8Array([mat.ucharAt(1, 1)])); |
|
|
|
mat.delete(); |
|
roi.delete(); |
|
} |
|
}); |
|
|
|
|
|
QUnit.test('test_mat_range', function(assert) { |
|
{ |
|
let src = cv.matFromArray(2, 2, cv.CV_8UC1, [0, 1, 2, 3]); |
|
let mat = src.colRange(0, 1); |
|
|
|
assert.equal(mat.isContinuous(), false); |
|
assert.equal(mat.rows, 2); |
|
assert.equal(mat.cols, 1); |
|
assert.equal(mat.ucharAt(0), 0); |
|
assert.equal(mat.ucharAt(1), 2); |
|
|
|
mat.delete(); |
|
|
|
mat = src.colRange({start: 0, end: 1}); |
|
|
|
assert.equal(mat.isContinuous(), false); |
|
assert.equal(mat.rows, 2); |
|
assert.equal(mat.cols, 1); |
|
assert.equal(mat.ucharAt(0), 0); |
|
assert.equal(mat.ucharAt(1), 2); |
|
|
|
mat.delete(); |
|
|
|
mat = src.rowRange(1, 2); |
|
|
|
assert.equal(mat.rows, 1); |
|
assert.equal(mat.cols, 2); |
|
assert.deepEqual(mat.data, new Uint8Array([2, 3])); |
|
|
|
mat.delete(); |
|
|
|
mat = src.rowRange({start: 1, end: 2}); |
|
|
|
assert.equal(mat.rows, 1); |
|
assert.equal(mat.cols, 2); |
|
assert.deepEqual(mat.data, new Uint8Array([2, 3])); |
|
|
|
mat.delete(); |
|
|
|
src.delete(); |
|
} |
|
}); |
|
|
|
QUnit.test('test_mat_diag', function(assert) { |
|
// test diag |
|
{ |
|
let mat = cv.matFromArray(3, 3, cv.CV_8UC1, [0, 1, 2, 3, 4, 5, 6, 7, 8]); |
|
let d = mat.diag(); |
|
let d1 = mat.diag(1); |
|
let d2 = mat.diag(-1); |
|
|
|
assert.equal(mat.isContinuous(), true); |
|
assert.equal(d.isContinuous(), false); |
|
assert.equal(d1.isContinuous(), false); |
|
assert.equal(d2.isContinuous(), false); |
|
|
|
assert.equal(d.ucharAt(0), 0); |
|
assert.equal(d.ucharAt(1), 4); |
|
assert.equal(d.ucharAt(2), 8); |
|
|
|
assert.equal(d1.ucharAt(0), 1); |
|
assert.equal(d1.ucharAt(1), 5); |
|
|
|
assert.equal(d2.ucharAt(0), 3); |
|
assert.equal(d2.ucharAt(1), 7); |
|
|
|
mat.delete(); |
|
d.delete(); |
|
d1.delete(); |
|
d2.delete(); |
|
} |
|
});
|
|
|