e4b0251e9d
cuda: fix inplace condition in cv::cuda::flip
2021-04-01 02:26:59 +00:00
22ee5c0c4d
Fix errors when building with cuda stubs
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Fixes two errors when building with the options WITH_CUDA=ON and BUILD_CUDA_STUBS=ON on a machine without CUDA.
In the cudaarithm module, make sure cuda_runtime.h only gets included when CUDA is installed.
In the stitching module, don't assume that cuda is present just because cudaarithm and cudawarping are present (as is the case when building with the above options).
2020-10-21 15:51:46 -07:00
234117800f
brush up by following the comments
2020-09-25 23:57:15 +09:00
a61546680b
use only even number for inplace flip
2020-09-16 15:45:03 +09:00
9411cd6c07
Use in-place npp function for inplace arguments
2020-07-21 10:27:43 +09:00
a54affeb8d
Move Ptr-related code from lut.cu to lut.cpp
2019-03-13 20:25:28 +09:00
6203c95d31
cuda::polarToCart: Support double precision
2018-09-22 07:02:43 +09:00
a39e0daacf
Utilize CV_UNUSED macro
2018-09-07 20:33:52 +09:00
acce95f446
backport fixes for static analyzer warnings
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Commits:
- 09837928d910fb88d027
2018-09-04 16:49:42 +03:00
4d78342919
Closes #12281 - a bug in cuda::pow with negative base values
2018-08-24 05:12:14 +09:00
2c1ce8c0e9
cuda_meanStdDev : bug fix
2018-05-16 03:31:47 +09:00
7818071ba2
cuda: eliminate part of build warnings
2018-04-05 17:53:22 +03:00
f4e5d777e8
follow histogram
2018-03-22 21:33:51 +09:00
6c25351049
make the asynchronous call to NPP safe
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* Stop calling nppSetStream
2018-03-22 21:33:51 +09:00
bd215fbf33
suppress warning on Jetson TK1
2017-06-15 18:28:13 +09:00
ec49eb813c
Merge pull request #8314 from chacha21:fix_cuda_absdiff
2017-05-25 09:09:20 +00:00
00f3ad7217
Implement DFT as cv::Algorithm to support concurrent streams
2017-03-21 13:55:13 +02:00
bfd800342b
use "double" from scalar only for CV_64F input
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Restore "DstType" in AbsDiffScalarOp template arguments, even if
eventually it will be equal to SrcType
use "double" from scalar only for CV_64F input
2017-03-07 09:49:49 +01:00
2375e58705
assert SrcDepth == DstDepth
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simplify code by requesting srcDepth == dstDepth
2017-03-06 15:08:59 +01:00
6cf4371eb4
make cuda::absdiff support multi-channel scalars
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I took the subScalar.cu code and changed the inner operation
2017-03-03 18:24:12 +01:00
b6a093fba1
accept multiple channels image for threshold on cuda
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* modify test, too
2016-05-16 06:45:35 +09:00
f4f1561781
Fixed cv::cuda::reduce bug.
2016-02-27 08:30:10 +05:30
1bf811c3f1
fix cuda::normalize (dtype < 0) case
2015-10-02 11:41:01 +03:00
671b59aa9d
fix windows build with CUDA
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rename cv::cuda::internal namespace
to cv::cuda::device to prevent conflicts
with cv::internal
2015-02-17 21:50:39 +03:00
a932d8aba1
use full qualified name for all internal namespaces to prevent ambiguous symbol errors
2015-02-16 11:31:21 +03:00
cd0e95de16
refactor cudaarithm reductions:
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* remove overloads with explicit buffer, now BufferPool is used
* added async versions for all reduce functions
2014-12-30 11:06:33 +03:00
a4e598f474
use new BufferPool class for some cudaarithm routines
2014-12-30 11:06:33 +03:00
7454189c2a
use new getInputMat/getOutputMat/syncOutput methods in cudaarithm routines
2014-12-30 11:06:33 +03:00
53862687d5
rename CudaMem -> HostMem to better reflect its purpose
2014-12-23 17:42:49 +03:00
4f1aed98de
Merge remote-tracking branch 'origin/2.4' into merge-2.4
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Conflicts:
.gitignore
modules/contrib/src/detection_based_tracker.cpp
modules/core/include/opencv2/core/core.hpp
modules/core/include/opencv2/core/internal.hpp
modules/core/src/gpumat.cpp
modules/core/src/opengl.cpp
modules/gpu/src/cuda/safe_call.hpp
modules/highgui/src/cap.cpp
modules/imgproc/include/opencv2/imgproc/imgproc.hpp
modules/ocl/doc/image_processing.rst
modules/ocl/include/opencv2/ocl/ocl.hpp
modules/ocl/perf/perf_haar.cpp
modules/ocl/src/haar.cpp
modules/ocl/src/imgproc.cpp
modules/ocl/src/kmeans.cpp
modules/ocl/src/svm.cpp
modules/ocl/test/test_objdetect.cpp
samples/ocl/adaptive_bilateral_filter.cpp
2013-11-11 16:55:36 +04:00
8ed47c01b7
used new device layer for cv::cuda::norm
2013-10-01 15:28:51 +04:00
23cc31e041
used new device layer for cv::cuda::LUT
2013-10-01 15:24:17 +04:00
06f07944c8
removed dependecy from cudalegacy
2013-10-01 12:18:40 +04:00
7839dbd2c4
used new device layer for cv::gpu::integral
2013-10-01 12:18:39 +04:00
224f18b06c
bitwise operation optimization
2013-10-01 12:18:39 +04:00
eb449968b6
removed unroll_detail.hpp
2013-10-01 12:18:39 +04:00
1ef211b889
used new device layer for cv::gpu::reduce
2013-10-01 12:18:39 +04:00
31a7814395
used new device layer for cv::gpu::countNonZero
2013-10-01 12:18:39 +04:00
020624c481
used new device layer for cv::gpu::minMaxLoc
2013-10-01 12:18:39 +04:00
3fb9c52272
cast to reference
2013-10-01 12:18:38 +04:00
045a856c24
used new device layer for cv::gpu::minMax
2013-10-01 12:18:38 +04:00
b705e0d886
used new device layer for cv::gpu::sum
2013-10-01 12:18:38 +04:00
e820c5c65f
used new device layer for cv::gpu::mulSpectrums
2013-10-01 12:18:38 +04:00
3f62e78592
used new device layer for cv::gpu::copyMakeBorder
2013-10-01 12:18:38 +04:00
7b3bbcea71
used new device layer for cv::gpu::transpose
2013-10-01 12:18:37 +04:00
6dbb32a05d
switched to new device layer in split/merge
2013-10-01 12:18:37 +04:00
3ab7f4b26a
removed arithm_func_traits.hpp
2013-10-01 12:18:37 +04:00
7c8c836a7b
switched to new device layer in polar <-> cart
2013-10-01 12:18:37 +04:00
5522f43b18
used new device layer for cv::gpu::threshold
2013-10-01 12:18:37 +04:00
e83be009a3
used new device layer for cv::gpu::addWeighted
2013-10-01 12:18:37 +04:00
Alexander Alekhin
Rob Timpe
Tomoaki Teshima
Namgoo Lee
Namgoo Lee
Hamdi Sahloul
Alexander Alekhin
Namgoo Lee
Vadim Pisarevsky
Naba Kumar
chacha21
aravind
Vladislav Vinogradov
Vladislav Vinogradov
Roman Donchenko