opencv/modules/js/test/test_photo.js

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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.
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// * The name of the copyright holders may not be used to endorse or promote products
// derived from this software without specific prior written permission.
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// This software is provided by the copyright holders and contributors "as is" and
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// Author : Rijubrata Bhaumik, Intel Corporation. rijubrata.bhaumik[at]intel[dot]com
QUnit.module('Photo', {});
QUnit.test('test_photo', function(assert) {
// CalibrateDebevec
{
let calibration = new cv.CalibrateDebevec();
assert.ok(true, calibration);
//let response = calibration.process(images, exposures);
}
// CalibrateRobertson
{
let calibration = new cv.CalibrateRobertson();
assert.ok(true, calibration);
//let response = calibration.process(images, exposures);
}
// MergeDebevec
{
let merge = new cv.MergeDebevec();
assert.ok(true, merge);
//let hdr = merge.process(images, exposures, response);
}
// MergeMertens
{
let merge = new cv.MergeMertens();
assert.ok(true, merge);
//let hdr = merge.process(images, exposures, response);
}
// MergeRobertson
{
let merge = new cv.MergeRobertson();
assert.ok(true, merge);
//let hdr = merge.process(images, exposures, response);
}
// TonemapDrago
{
let tonemap = new cv.TonemapDrago();
assert.ok(true, tonemap);
// let ldr = new cv.Mat();
// let retval = tonemap.process(hdr, ldr);
}
// TonemapMantiuk
{
let tonemap = new cv.TonemapMantiuk();
assert.ok(true, tonemap);
// let ldr = new cv.Mat();
// let retval = tonemap.process(hdr, ldr);
}
// TonemapReinhard
{
let tonemap = new cv.TonemapReinhard();
assert.ok(true, tonemap);
// let ldr = new cv.Mat();
// let retval = tonemap.process(hdr, ldr);
}
// Inpaint
{
let src = new cv.Mat(100, 100, cv.CV_8UC3, new cv.Scalar(127, 127, 127, 255));
let mask = new cv.Mat(100, 100, cv.CV_8UC1, new cv.Scalar(0, 0, 0, 0));
let dst = new cv.Mat();
cv.line(mask, new cv.Point(10, 50), new cv.Point(90, 50), new cv.Scalar(255, 255, 255, 255),5);
cv.inpaint(src, mask, dst, 3, cv.INPAINT_TELEA);
assert.equal(dst.rows, 100);
assert.equal(dst.cols, 100);
assert.equal(dst.channels(), 3);
}
});