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mirror of https://github.com/opencv/opencv.git synced 2026-07-30 15:53:03 +04:00

Merge remote-tracking branch 'upstream/3.4' into merge-3.4

This commit is contained in:
Alexander Alekhin
2019-10-02 17:49:19 +03:00
14 changed files with 534 additions and 115 deletions
+2 -2
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@@ -112,7 +112,7 @@ imgproc = {'': ['Canny', 'GaussianBlur', 'Laplacian', 'HoughLines', 'HoughLinesP
'goodFeaturesToTrack','grabCut','initUndistortRectifyMap', 'integral','integral2', 'isContourConvex', 'line', \
'matchShapes', 'matchTemplate','medianBlur', 'minAreaRect', 'minEnclosingCircle', 'moments', 'morphologyEx', \
'pointPolygonTest', 'putText','pyrDown','pyrUp','rectangle','remap', 'resize','sepFilter2D','threshold', \
'undistort','warpAffine','warpPerspective','watershed', \
'undistort','warpAffine','warpPerspective','warpPolar','watershed', \
'fillPoly', 'fillConvexPoly'],
'CLAHE': ['apply', 'collectGarbage', 'getClipLimit', 'getTilesGridSize', 'setClipLimit', 'setTilesGridSize']}
@@ -171,7 +171,7 @@ aruco = {'': ['detectMarkers', 'drawDetectedMarkers', 'drawAxis', 'estimatePoseS
'aruco_CharucoBoard': ['create', 'draw'],
}
calib3d = {'': ['findHomography','calibrateCameraExtended', 'drawFrameAxes', 'getDefaultNewCameraMatrix', 'initUndistortRectifyMap']}
calib3d = {'': ['findHomography', 'calibrateCameraExtended', 'drawFrameAxes', 'estimateAffine2D', 'getDefaultNewCameraMatrix', 'initUndistortRectifyMap', 'Rodrigues']}
def makeWhiteList(module_list):
wl = {}
+48
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@@ -41,3 +41,51 @@ QUnit.test('findHomography', function(assert) {
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
});
QUnit.test('estimateAffine2D', function(assert) {
const inputs = cv.matFromArray(4, 1, cv.CV_32FC2, [
1, 1,
80, 0,
0, 80,
80, 80
]);
const outputs = cv.matFromArray(4, 1, cv.CV_32FC2, [
21, 51,
70, 77,
40, 40,
10, 70
]);
const M = cv.estimateAffine2D(inputs, outputs);
assert.ok(M instanceof cv.Mat);
assert.deepEqual(Array.from(M.data), [
23, 55, 97, 126, 87, 139, 227, 63, 0, 0,
0, 0, 0, 0, 232, 191, 71, 246, 12, 68,
165, 35, 53, 64, 99, 56, 27, 66, 14, 254,
212, 63, 103, 102, 102, 102, 102, 102, 182, 191,
195, 252, 174, 22, 55, 97, 73, 64
]);
});
+17
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@@ -960,3 +960,20 @@ QUnit.test('test_filter', function(assert) {
src.delete();
}
});
QUnit.test('warpPolar', function(assert) {
const lines = new cv.Mat(255, 255, cv.CV_8U, new cv.Scalar(0));
for (let r = 0; r < lines.rows; r++) {
lines.row(r).setTo(new cv.Scalar(r));
}
cv.warpPolar(lines, lines, { width: 5, height: 5 }, new cv.Point(2, 2), 3,
cv.INTER_CUBIC | cv.WARP_FILL_OUTLIERS | cv.WARP_INVERSE_MAP);
assert.ok(lines instanceof cv.Mat);
assert.deepEqual(Array.from(lines.data), [
159, 172, 191, 210, 223,
146, 159, 191, 223, 236,
128, 128, 0, 0, 0,
109, 96, 64, 32, 19,
96, 83, 64, 45, 32
]);
});