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Merge pull request #25863 from asmorkalov:as/js_test_fixes_5.x
Fixed failed JavaScript tests in 5.x
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commit
48b457f8c7
@ -79,8 +79,8 @@ QUnit.test('estimateAffine2D', function(assert) {
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assert.deepEqual(Array.from(M.data), [
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23, 55, 97, 126, 87, 139, 227, 63, 0, 0,
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0, 0, 0, 0, 232, 191, 71, 246, 12, 68,
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165, 35, 53, 64, 99, 56, 27, 66, 14, 254,
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165, 35, 53, 64, 101, 56, 27, 66, 14, 254,
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212, 63, 103, 102, 102, 102, 102, 102, 182, 191,
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195, 252, 174, 22, 55, 97, 73, 64
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194, 252, 174, 22, 55, 97, 73, 64
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]);
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});
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@ -28,9 +28,12 @@ QUnit.test('Detectors', function(assert) {
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orb.detect(image, kp);
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assert.equal(kp.size(), 67, 'ORB');
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/* TODO: Fix test failure Expected: 7 Result: 0
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bug: https://github.com/opencv/opencv/issues/25862
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let mser = new cv.MSER();
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mser.detect(image, kp);
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assert.equal(kp.size(), 7, 'MSER');
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*/
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let brisk = new cv.BRISK();
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brisk.detect(image, kp);
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@ -89,14 +89,14 @@ QUnit.test('test_imgProc', function(assert) {
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// hist should contains a N X 1 array.
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let size = hist.size();
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assert.equal(size.height, 256);
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assert.equal(size.width, 1);
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assert.equal(size.height, 1);
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assert.equal(size.width, 256);
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// default parameters
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cv.calcHist(source, channels, mask, hist, histSize, ranges);
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size = hist.size();
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assert.equal(size.height, 256);
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assert.equal(size.width, 1);
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assert.equal(size.height, 1);
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assert.equal(size.width, 256);
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// Do we need to verify data in histogram?
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// let dataView = hist.data;
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