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a03b813167
Fix OpenCV.js tests #25732 ### Pull Request Readiness Checklist * Firefox tests passed See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request - [x] I agree to contribute to the project under Apache 2 License. - [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV - [x] The PR is proposed to the proper branch - [x] There is a reference to the original bug report and related work - [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable Patch to opencv_extra has the same branch name. - [x] The feature is well documented and sample code can be built with the project CMake
111 lines
4.2 KiB
JavaScript
111 lines
4.2 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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// Author : Rijubrata Bhaumik, Intel Corporation. rijubrata.bhaumik[at]intel[dot]com
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QUnit.module('Photo', {});
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QUnit.test('test_photo', function(assert) {
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// CalibrateDebevec
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{
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let calibration = new cv.CalibrateDebevec();
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assert.ok(true, calibration);
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//let response = calibration.process(images, exposures);
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}
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// CalibrateRobertson
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{
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let calibration = new cv.CalibrateRobertson();
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assert.ok(true, calibration);
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//let response = calibration.process(images, exposures);
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}
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// MergeDebevec
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{
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let merge = new cv.MergeDebevec();
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assert.ok(true, merge);
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//let hdr = merge.process(images, exposures, response);
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}
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// MergeMertens
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{
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let merge = new cv.MergeMertens();
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assert.ok(true, merge);
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//let hdr = merge.process(images, exposures, response);
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}
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// MergeRobertson
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{
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let merge = new cv.MergeRobertson();
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assert.ok(true, merge);
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//let hdr = merge.process(images, exposures, response);
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}
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// TonemapDrago
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{
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let tonemap = new cv.TonemapDrago();
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assert.ok(true, tonemap);
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// let ldr = new cv.Mat();
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// let retval = tonemap.process(hdr, ldr);
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}
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// TonemapMantiuk
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{
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let tonemap = new cv.TonemapMantiuk();
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assert.ok(true, tonemap);
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// let ldr = new cv.Mat();
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// let retval = tonemap.process(hdr, ldr);
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}
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// TonemapReinhard
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{
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let tonemap = new cv.TonemapReinhard();
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assert.ok(true, tonemap);
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// let ldr = new cv.Mat();
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// let retval = tonemap.process(hdr, ldr);
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}
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// Inpaint
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{
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let src = new cv.Mat(100, 100, cv.CV_8UC3, new cv.Scalar(127, 127, 127, 255));
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let mask = new cv.Mat(100, 100, cv.CV_8UC1, new cv.Scalar(0, 0, 0, 0));
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let dst = new cv.Mat();
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cv.line(mask, new cv.Point(10, 50), new cv.Point(90, 50), new cv.Scalar(255, 255, 255, 255),5);
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cv.inpaint(src, mask, dst, 3, cv.INPAINT_TELEA);
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assert.equal(dst.rows, 100);
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assert.equal(dst.cols, 100);
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assert.equal(dst.channels(), 3);
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}
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});
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