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Commit Graph

58 Commits (66d9a33b5023127280027f4fda8d3eedeb97c402)

Author	SHA1	Message	Date
Hamdi Sahloul	6203c95d31	cuda::polarToCart: Support double precision	6 years ago
Hamdi Sahloul	a39e0daacf	Utilize CV_UNUSED macro	7 years ago
Alexander Alekhin	acce95f446	backport fixes for static analyzer warnings ... Commits: - 09837928d9 - 10fb88d027 Excluded changes with std::atomic (C++98 requirement)	7 years ago
Hamdi Sahloul	4d78342919	Closes #12281 - a bug in cuda::pow with negative base values	7 years ago
Namgoo Lee	2c1ce8c0e9	cuda_meanStdDev : bug fix	7 years ago
Alexander Alekhin	7818071ba2	cuda: eliminate part of build warnings	7 years ago
Tomoaki Teshima	f4e5d777e8	follow histogram	7 years ago
Tomoaki Teshima	6c25351049	make the asynchronous call to NPP safe ... * Stop calling nppSetStream	7 years ago
Tomoaki Teshima	bd215fbf33	suppress warning on Jetson TK1	8 years ago
Naba Kumar	00f3ad7217	Implement DFT as cv::Algorithm to support concurrent streams	8 years ago
chacha21	bfd800342b	use "double" from scalar only for CV_64F input ... Restore "DstType" in AbsDiffScalarOp template arguments, even if eventually it will be equal to SrcType use "double" from scalar only for CV_64F input	8 years ago
chacha21	2375e58705	assert SrcDepth == DstDepth ... simplify code by requesting srcDepth == dstDepth	8 years ago
chacha21	6cf4371eb4	make cuda::absdiff support multi-channel scalars ... I took the subScalar.cu code and changed the inner operation	8 years ago
Tomoaki Teshima	b6a093fba1	accept multiple channels image for threshold on cuda ... * modify test, too	9 years ago
aravind	f4f1561781	Fixed cv::cuda::reduce bug.	9 years ago
Vladislav Vinogradov	1bf811c3f1	fix cuda::normalize (dtype < 0) case	10 years ago
Vladislav Vinogradov	671b59aa9d	fix windows build with CUDA ... rename cv::cuda::internal namespace to cv::cuda::device to prevent conflicts with cv::internal	10 years ago
Vladislav Vinogradov	a932d8aba1	use full qualified name for all internal namespaces to prevent ambiguous symbol errors	10 years ago
Vladislav Vinogradov	cd0e95de16	refactor cudaarithm reductions: ... * remove overloads with explicit buffer, now BufferPool is used * added async versions for all reduce functions	10 years ago
Vladislav Vinogradov	a4e598f474	use new BufferPool class for some cudaarithm routines	10 years ago
Vladislav Vinogradov	7454189c2a	use new getInputMat/getOutputMat/syncOutput methods in cudaarithm routines	10 years ago
Vladislav Vinogradov	53862687d5	rename CudaMem -> HostMem to better reflect its purpose	10 years ago
Vladislav Vinogradov	8ed47c01b7	used new device layer for cv::cuda::norm	12 years ago
Vladislav Vinogradov	23cc31e041	used new device layer for cv::cuda::LUT	12 years ago
Vladislav Vinogradov	06f07944c8	removed dependecy from cudalegacy	12 years ago
Vladislav Vinogradov	7839dbd2c4	used new device layer for cv::gpu::integral	12 years ago
Vladislav Vinogradov	224f18b06c	bitwise operation optimization	12 years ago
Vladislav Vinogradov	eb449968b6	removed unroll_detail.hpp	12 years ago
Vladislav Vinogradov	1ef211b889	used new device layer for cv::gpu::reduce	12 years ago
Vladislav Vinogradov	31a7814395	used new device layer for cv::gpu::countNonZero	12 years ago
Vladislav Vinogradov	020624c481	used new device layer for cv::gpu::minMaxLoc	12 years ago
Vladislav Vinogradov	3fb9c52272	cast to reference	12 years ago
Vladislav Vinogradov	045a856c24	used new device layer for cv::gpu::minMax	12 years ago
Vladislav Vinogradov	b705e0d886	used new device layer for cv::gpu::sum	12 years ago
Vladislav Vinogradov	e820c5c65f	used new device layer for cv::gpu::mulSpectrums	12 years ago
Vladislav Vinogradov	3f62e78592	used new device layer for cv::gpu::copyMakeBorder	12 years ago
Vladislav Vinogradov	7b3bbcea71	used new device layer for cv::gpu::transpose	12 years ago
Vladislav Vinogradov	6dbb32a05d	switched to new device layer in split/merge	12 years ago
Vladislav Vinogradov	3ab7f4b26a	removed arithm_func_traits.hpp	12 years ago
Vladislav Vinogradov	7c8c836a7b	switched to new device layer in polar <-> cart	12 years ago
Vladislav Vinogradov	5522f43b18	used new device layer for cv::gpu::threshold	12 years ago
Vladislav Vinogradov	e83be009a3	used new device layer for cv::gpu::addWeighted	12 years ago
Vladislav Vinogradov	c7a3a7d4d9	switched to new device layer in min/max	12 years ago
Vladislav Vinogradov	b11cccaaca	switched to new device layer in bitwize operations	12 years ago
Vladislav Vinogradov	fdfffa5291	fixed warnings	12 years ago
Vladislav Vinogradov	ef9917ecf1	used new device layer for cv::gpu::compare	12 years ago
Vladislav Vinogradov	43e811118b	fixed assertion	12 years ago
Vladislav Vinogradov	766d950ff3	used new device layer in math per element operations	12 years ago
Vladislav Vinogradov	7628e57fc6	used new device layer for cv::gpu::absdiff	12 years ago
Vladislav Vinogradov	574ff47146	used new device layer for cv::gpu::divide	12 years ago