@anpanman/opencv_ts/tests/opencv/test_photo.ts

Experimental WIP TypeScript typings and OpenCV.js/wasm loader.

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// Author : Rijubrata Bhaumik, Intel Corporation. rijubrata.bhaumik[at]intel[dot]com

import cv from '../..'

declare global {
  interface Assert {
    epsilonEqual(actual: number, expected: number, epsilon: number): void
  }
}


Object.assign(QUnit.assert, {
  epsilonEqual: (actual: number, expected: number, epsilon: number): void => {
    const diff = Math.abs(actual - expected)
    QUnit.assert.pushResult({
      result: diff < epsilon,
      actual: actual,
      expected: expected,
      message: `Numbers expected to differ by less than ${epsilon}, was ${diff}`
    })
  }
})

QUnit.module('Photo', {
  before: cv.loadOpenCV
})

QUnit.test('test_photo', function (assert) {
  // CalibrateDebevec
  {
    const calibration = new cv.CalibrateDebevec(1, 2.2, true)
    assert.strictEqual(calibration.getSamples(), 1)
    assert.epsilonEqual(calibration.getLambda(), 2.2, 1e-5)
    assert.strictEqual(calibration.getRandom(), true)
    //let response = calibration.process(images, exposures);
    calibration.delete()
  }
  // CalibrateRobertson
  {
    const calibration = new cv.CalibrateRobertson(1, 2.2)
    assert.strictEqual(calibration.getMaxIter(), 1)
    assert.epsilonEqual(calibration.getThreshold(), 2.2, 1e-5)
    //let response = calibration.process(images, exposures);
    calibration.delete()
  }

  // MergeDebevec
  {
    const merge = new cv.MergeDebevec()
    assert.true(merge instanceof cv.MergeDebevec)
    //let hdr = merge.process(images, exposures, response);
    merge.delete()
  }
  // MergeMertens
  {
    const merge = new cv.MergeMertens(2.2, 3.3, 4.4)
    assert.epsilonEqual(merge.getContrastWeight(), 2.2, 1e-5)
    assert.epsilonEqual(merge.getSaturationWeight(), 3.3, 1e-5)
    assert.epsilonEqual(merge.getExposureWeight(), 4.4, 1e-5)
    //let hdr = merge.process(images, exposures, response);
  }
  // MergeRobertson
  {
    const merge = new cv.MergeRobertson()
    assert.true(merge instanceof cv.MergeRobertson)
    //let hdr = merge.process(images, exposures, response);
  }

  // TonemapDrago
  {
    const tonemap = new cv.TonemapDrago(2.2, 3.3, 4.4)
    assert.epsilonEqual(tonemap.getSaturation(), 3.3, 1e-5)
    assert.epsilonEqual(tonemap.getBias(), 4.4, 1e-5)
    // let ldr = new cv.Mat();
    // let retval = tonemap.process(hdr, ldr);
  }
  // TonemapMantiuk
  {
    const tonemap = new cv.TonemapMantiuk(2.2, 3.3, 4.4)
    assert.epsilonEqual(tonemap.getScale(), 3.3, 1e-5)
    assert.epsilonEqual(tonemap.getSaturation(), 4.4, 1e-5)
    // let ldr = new cv.Mat();
    // let retval = tonemap.process(hdr, ldr);
  }
  // TonemapReinhard
  {
    const tonemap = new cv.TonemapReinhard(2.2, 3.3, 4.4, 5.5)
    assert.epsilonEqual(tonemap.getIntensity(), 3.3, 1e-5)
    assert.epsilonEqual(tonemap.getLightAdaptation(), 4.4, 1e-5)
    assert.epsilonEqual(tonemap.getColorAdaptation(), 5.5, 1e-5)
    // let ldr = new cv.Mat();
    // let retval = tonemap.process(hdr, ldr);
  }
  // Inpaint
  {
    const src = new cv.Mat(100, 100, cv.CV_8UC3, new cv.Scalar(127, 127, 127, 255))
    const mask = new cv.Mat(100, 100, cv.CV_8UC1, new cv.Scalar(0, 0, 0, 0))
    const 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)

    src.delete()
    mask.delete()
    dst.delete()
  }
})