mirror of
https://github.com/opencv/opencv.git
synced 2024-11-30 14:29:49 +08:00
116 lines
3.5 KiB
JavaScript
116 lines
3.5 KiB
JavaScript
// 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
|
|
}
|
|
|
|
function generateTestFrame(width, height) {
|
|
let w = width || 200;
|
|
let h = height || 200;
|
|
let img = new cv.Mat(h, w, cv.CV_8UC1, new cv.Scalar(0, 0, 0, 0));
|
|
let s = new cv.Scalar(255, 255, 255, 255);
|
|
let s128 = new cv.Scalar(128, 128, 128, 128);
|
|
let rect = new cv.Rect(w / 4, h / 4, w / 2, h / 2);
|
|
img.roi(rect).setTo(s);
|
|
img.roi(new cv.Rect(w / 2 - w / 8, h / 2 - h / 8, w / 4, h / 4)).setTo(s128);
|
|
cv.rectangle(img, new cv.Point(w / 8, h / 8), new cv.Point(w - w / 8, h - h / 8), s, 5);
|
|
cv.rectangle(img, new cv.Point(w / 5, h / 5), new cv.Point(w - w / 5, h - h / 5), s128, 3);
|
|
cv.line(img, new cv.Point(-w, 0), new cv.Point(w / 2, h / 2), s128, 5);
|
|
cv.line(img, new cv.Point(2*w, 0), new cv.Point(w / 2, h / 2), s, 5);
|
|
return img;
|
|
}
|
|
|
|
QUnit.module('Features2D', {});
|
|
QUnit.test('Detectors', function(assert) {
|
|
let image = generateTestFrame();
|
|
|
|
let kp = new cv.KeyPointVector();
|
|
|
|
let orb = new cv.ORB();
|
|
orb.detect(image, kp);
|
|
assert.equal(kp.size(), 67, 'ORB');
|
|
|
|
let mser = new cv.MSER();
|
|
mser.detect(image, kp);
|
|
assert.equal(kp.size(), 7, 'MSER');
|
|
|
|
let brisk = new cv.BRISK();
|
|
brisk.detect(image, kp);
|
|
assert.equal(kp.size(), 191, 'BRISK');
|
|
|
|
let ffd = new cv.FastFeatureDetector();
|
|
ffd.detect(image, kp);
|
|
assert.equal(kp.size(), 12, 'FastFeatureDetector');
|
|
|
|
let afd = new cv.AgastFeatureDetector();
|
|
afd.detect(image, kp);
|
|
assert.equal(kp.size(), 67, 'AgastFeatureDetector');
|
|
|
|
let gftt = new cv.GFTTDetector();
|
|
gftt.detect(image, kp);
|
|
assert.equal(kp.size(), 168, 'GFTTDetector');
|
|
|
|
let kaze = new cv.KAZE();
|
|
kaze.detect(image, kp);
|
|
assert.equal(kp.size(), 159, 'KAZE');
|
|
|
|
let akaze = new cv.AKAZE();
|
|
akaze.detect(image, kp);
|
|
assert.equal(kp.size(), 53, 'AKAZE');
|
|
});
|
|
|
|
QUnit.test('BFMatcher', function(assert) {
|
|
// Generate key points.
|
|
let image = generateTestFrame();
|
|
|
|
let kp = new cv.KeyPointVector();
|
|
let descriptors = new cv.Mat();
|
|
let orb = new cv.ORB();
|
|
orb.detectAndCompute(image, new cv.Mat(), kp, descriptors);
|
|
|
|
assert.equal(kp.size(), 67);
|
|
|
|
// Run a matcher.
|
|
let dm = new cv.DMatchVector();
|
|
let matcher = new cv.BFMatcher();
|
|
matcher.match(descriptors, descriptors, dm);
|
|
|
|
assert.equal(dm.size(), 67);
|
|
});
|
|
|
|
QUnit.test('Drawing', function(assert) {
|
|
// Generate key points.
|
|
let image = generateTestFrame();
|
|
|
|
let kp = new cv.KeyPointVector();
|
|
let descriptors = new cv.Mat();
|
|
let orb = new cv.ORB();
|
|
orb.detectAndCompute(image, new cv.Mat(), kp, descriptors);
|
|
assert.equal(kp.size(), 67);
|
|
|
|
let dst = new cv.Mat();
|
|
cv.drawKeypoints(image, kp, dst);
|
|
assert.equal(dst.rows, image.rows);
|
|
assert.equal(dst.cols, image.cols);
|
|
|
|
// Run a matcher.
|
|
let dm = new cv.DMatchVector();
|
|
let matcher = new cv.BFMatcher();
|
|
matcher.match(descriptors, descriptors, dm);
|
|
assert.equal(dm.size(), 67);
|
|
|
|
cv.drawMatches(image, kp, image, kp, dm, dst);
|
|
assert.equal(dst.rows, image.rows);
|
|
assert.equal(dst.cols, 2 * image.cols);
|
|
|
|
dm = new cv.DMatchVectorVector();
|
|
matcher.knnMatch(descriptors, descriptors, dm, 2);
|
|
assert.equal(dm.size(), 67);
|
|
cv.drawMatchesKnn(image, kp, image, kp, dm, dst);
|
|
assert.equal(dst.rows, image.rows);
|
|
assert.equal(dst.cols, 2 * image.cols);
|
|
});
|