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attempt to add 0d/1d mat support to OpenCV (#23473)
* attempt to add 0d/1d mat support to OpenCV * revised the patch; now 1D mat is treated as 1xN 2D mat rather than Nx1. * a step towards 'green' tests * another little step towards 'green' tests * calib test failures seem to be fixed now * more fixes _core & _dnn * another step towards green ci; even 0D mat's (a.k.a. scalars) are now partly supported! * * fixed strange bug in aruco/charuco detector, not sure why it did not work * also fixed a few remaining failures (hopefully) in dnn & core * disabled failing GAPI tests - too complex to dig into this compiler pipeline * hopefully fixed java tests * trying to fix some more tests * quick followup fix * continue to fix test failures and warnings * quick followup fix * trying to fix some more tests * partly fixed support for 0D/scalar UMat's * use updated parseReduce() from upstream * trying to fix the remaining test failures * fixed [ch]aruco tests in Python * still trying to fix tests * revert "fix" in dnn's CUDA tensor * trying to fix dnn+CUDA test failures * fixed 1D umat creation * hopefully fixed remaining cuda test failures * removed training whitespaces
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@@ -93,15 +93,7 @@ static void deskew(const Mat& img, Mat& deskewed_img)
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float skew = (float)(m.mu11 / m.mu02);
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float M_vals[2][3] = {{1, skew, -0.5f * SZ * skew}, {0, 1, 0}};
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Mat M(Size(3, 2), CV_32F);
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for (int i = 0; i < M.rows; i++)
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{
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for (int j = 0; j < M.cols; j++)
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{
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M.at<float>(i, j) = M_vals[i][j];
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}
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}
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Mat M(Size(3, 2), CV_32F, &M_vals[0][0]);
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warpAffine(img, deskewed_img, M, Size(SZ, SZ), WARP_INVERSE_MAP | INTER_LINEAR);
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}
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