vendor: OpenCV 5.0.0 snapshot at 40738fb16ceddb5fb3fea747585f7ce6abb0605b

2026-08-22 00:10:33 +08:00
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+// //////////////////////////////////////////////////////////////////////////////////////
+//
+//  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.
+//
+//
+//                           License Agreement
+//                For Open Source Computer Vision Library
+//
+// Copyright (C) 2013, OpenCV Foundation, 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 the copyright holders 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.
+//
+//
+
+// //////////////////////////////////////////////////////////////////////////////////////
+// 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.
+//
+
+if (typeof module !== 'undefined' && module.exports) {
+    // The environment is Node.js
+    var cv = require('./opencv.js'); // eslint-disable-line no-var
+}
+
+QUnit.module('Object Detection', {});
+QUnit.test('QR code detect and decode', function (assert) {
+    {
+        const detector = new cv.QRCodeDetector();
+        let mat = cv.Mat.ones(800, 600, cv.CV_8U);
+        assert.ok(mat);
+
+        // test detect
+        let points = new cv.Mat();
+        let qrCodeFound = detector.detect(mat, points);
+        assert.equal(points.rows, 0)
+        assert.equal(points.cols, 0)
+        assert.equal(qrCodeFound, false);
+
+        // test detectMult
+        qrCodeFound = detector.detectMulti(mat, points);
+        assert.equal(points.rows, 0)
+        assert.equal(points.cols, 0)
+        assert.equal(qrCodeFound, false);
+
+        // test decode (with random numbers)
+        let decodeTestPoints = cv.matFromArray(1, 4, cv.CV_32FC2, [10, 20, 30, 40, 60, 80, 90, 100]);
+        let qrCodeContent = detector.decode(mat, decodeTestPoints);
+        assert.equal(typeof qrCodeContent, 'string');
+        assert.equal(qrCodeContent, '');
+
+        //test detectAndDecode
+        qrCodeContent = detector.detectAndDecode(mat);
+        assert.equal(typeof qrCodeContent, 'string');
+        assert.equal(qrCodeContent, '');
+
+        // test decodeCurved
+        qrCodeContent = detector.decodeCurved(mat, decodeTestPoints);
+        assert.equal(typeof qrCodeContent, 'string');
+        assert.equal(qrCodeContent, '');
+
+        decodeTestPoints.delete();
+        points.delete();
+        mat.delete();
+
+    }
+});
+QUnit.test('Aruco-based QR code detect', function (assert) {
+    {
+        let qrcode_params = new cv.QRCodeDetectorAruco_Params();
+        let detector = new cv.QRCodeDetectorAruco();
+        let mat = cv.Mat.ones(800, 600, cv.CV_8U);
+        assert.ok(mat);
+
+        detector.setDetectorParameters(qrcode_params);
+
+        let points = new cv.Mat();
+        let qrCodeFound = detector.detect(mat, points);
+        assert.equal(points.rows, 0)
+        assert.equal(points.cols, 0)
+        assert.equal(qrCodeFound, false);
+
+        qrcode_params.delete();
+        detector.delete();
+        points.delete();
+        mat.delete();
+    }
+});
+QUnit.test('Bar code detect', function (assert) {
+    {
+        let detector = new cv.barcode_BarcodeDetector();
+        let mat = cv.Mat.ones(800, 600, cv.CV_8U);
+        assert.ok(mat);
+
+        let points = new cv.Mat();
+        let codeFound = detector.detect(mat, points);
+        assert.equal(points.rows, 0)
+        assert.equal(points.cols, 0)
+        assert.equal(codeFound, false);
+
+        codeContent = detector.detectAndDecode(mat);
+        assert.equal(typeof codeContent, 'string');
+        assert.equal(codeContent, '');
+
+        detector.delete();
+        points.delete();
+        mat.delete();
+    }
+});
+QUnit.test('Aruco detector', function (assert) {
+    {
+        let dictionary = cv.getPredefinedDictionary(cv.DICT_4X4_50);
+        let aruco_image = new cv.Mat();
+        let detectorParameters = new cv.aruco_DetectorParameters();
+        let refineParameters = new cv.aruco_RefineParameters(10, 3, true);
+        let detector = new cv.aruco_ArucoDetector(dictionary, detectorParameters,refineParameters);
+        let corners = new cv.MatVector();
+        let ids = new cv.Mat();
+
+        dictionary.generateImageMarker(10, 128, aruco_image);
+        assert.ok(!aruco_image.empty());
+
+        detector.detectMarkers(aruco_image, corners, ids);
+
+        dictionary.delete();
+        aruco_image.delete();
+        detectorParameters.delete();
+        refineParameters.delete();
+        detector.delete();
+        corners.delete();
+        ids.delete();
+    }
+});
+QUnit.test('Charuco detector', function (assert) {
+    {
+        let dictionary = new cv.getPredefinedDictionary(cv.DICT_4X4_50);
+        let boardIds = new cv.Mat();
+        let board = new cv.aruco_CharucoBoard(new cv.Size(3, 5), 64, 32, dictionary, boardIds);
+        let charucoParameters = new cv.aruco_CharucoParameters();
+        let detectorParameters = new cv.aruco_DetectorParameters();
+        let refineParameters = new cv.aruco_RefineParameters(10, 3, true);
+        let detector = new cv.aruco_CharucoDetector(board, charucoParameters, detectorParameters, refineParameters);
+        let board_image = new cv.Mat();
+        let corners = new cv.Mat();
+        let ids = new cv.Mat();
+
+        board.generateImage(new cv.Size(300, 500), board_image);
+        assert.ok(!board_image.empty());
+
+        let chess_corners = board.getChessboardCorners();
+
+        detector.detectBoard(board_image, corners, ids);
+        assert.ok(!corners.empty());
+        assert.ok(!ids.empty());
+
+        dictionary.delete();
+        boardIds.delete();
+        board.delete();
+        board_image.delete();
+        charucoParameters.delete();
+        detectorParameters.delete();
+        refineParameters.delete();
+        detector.delete();
+        corners.delete();
+        ids.delete();
+        chess_corners.delete();
+    }
+});