Open Source Computer Vision Library https://opencv.org/
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// This file is part of OpenCV project.
// It is subject to the license terms in the LICENSE file found in the top-level directory
// of this distribution and at http://opencv.org/license.html.
if (typeof module !== 'undefined' && module.exports) {
// The environment is Node.js
var cv = require('./opencv.js'); // eslint-disable-line no-var
}
QUnit.module('Camera Calibration and 3D Reconstruction', {});
QUnit.test('constants', function(assert) {
assert.strictEqual(typeof cv.LMEDS, 'number');
assert.strictEqual(typeof cv.RANSAC, 'number');
assert.strictEqual(typeof cv.RHO, 'number');
});
QUnit.test('findHomography', function(assert) {
let srcPoints = cv.matFromArray(4, 1, cv.CV_32FC2, [
56,
65,
368,
52,
28,
387,
389,
390,
]);
let dstPoints = cv.matFromArray(4, 1, cv.CV_32FC2, [
0,
0,
300,
0,
0,
300,
300,
300,
]);
const mat = cv.findHomography(srcPoints, dstPoints);
assert.ok(mat instanceof cv.Mat);
});
QUnit.test('Rodrigues', function(assert) {
// Converts a rotation matrix to a rotation vector and vice versa
// data64F is the output array
const rvec0 = cv.matFromArray(1, 3, cv.CV_64F, [1,1,1]);
let rMat0 = new cv.Mat();
let rvec1 = new cv.Mat();
// Args: input Mat, output Mat. The function mutates the output Mat, so the function does not return anything.
// cv.Rodrigues (InputArray=src, OutputArray=dst, jacobian=0)
// https://docs.opencv.org/2.4/modules/calib3d/doc/camera_calibration_and_3d_reconstruction.html#void%20Rodrigues(InputArray%20src,%20OutputArray%20dst,%20OutputArray%20jacobian)
// vec to Mat, starting number is 3 long and each element is 1.
cv.Rodrigues(rvec0, rMat0);
assert.ok(rMat0.data64F.length == 9);
assert.ok(0.23 > rMat0.data64F[0] > 0.22);
// convert Mat to Vec, should be same as what we started with, 3 long and each item should be a 1.
cv.Rodrigues(rMat0, rvec1);
assert.ok(rvec1.data64F.length == 3);
assert.ok(1.01 > rvec1.data64F[0] > 0.9);
// Answer should be around 1: 0.9999999999999999
});