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mirror of https://github.com/opencv/opencv.git synced 2026-07-29 23:33:05 +04:00

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
This commit is contained in:
Vadim Pisarevsky
2023-09-21 18:24:38 +03:00
committed by GitHub
parent fdab565711
commit 416bf3253d
80 changed files with 1013 additions and 561 deletions
+10 -3
View File
@@ -1222,9 +1222,10 @@ static bool ocl_calcHist1(InputArray _src, OutputArray _hist, int ddepth = CV_32
if (k1.empty())
return false;
_hist.create(BINS, 1, ddepth);
int hsz = BINS;
_hist.create(1, &hsz, ddepth);
UMat src = _src.getUMat(), ghist(1, BINS * compunits, CV_32SC1),
hist = _hist.getUMat();
hist = _hist.getUMat().reshape(1, hsz);
k1.args(ocl::KernelArg::ReadOnly(src),
ocl::KernelArg::PtrWriteOnly(ghist), (int)src.total());
@@ -1622,7 +1623,12 @@ void cv::calcBackProject( const Mat* images, int nimages, const int* channels,
std::vector<int> deltas;
std::vector<double> uniranges;
Size imsize;
int dims = hist.dims == 2 && hist.size[1] == 1 ? 1 : hist.dims;
if (hist.dims == 2 && (hist.rows == 1 || hist.cols == 1)) {
CV_Assert(hist.isContinuous());
std::vector<int> hist_size = {hist.rows + hist.cols - 1};
hist = hist.reshape(1, hist_size);
}
int dims = hist.dims;
CV_Assert( dims > 0 && !hist.empty() );
_backProject.create( images[0].size(), images[0].depth() );
@@ -1889,6 +1895,7 @@ static bool ocl_calcBackProject( InputArrayOfArrays _images, std::vector<int> ch
UMat lut(1, (int)lsize, CV_32SC1);
UMat hist = _hist.getUMat();
UMat uranges; Mat(ranges, false).copyTo(uranges);
hist = hist.reshape(1, hist.rows + hist.cols-1);
lutk.args(ocl::KernelArg::ReadOnlyNoSize(hist), hist.rows,
ocl::KernelArg::PtrWriteOnly(lut), scale, ocl::KernelArg::PtrReadOnly(uranges));