Ilya Lavrenov
1af7d397d4
optimization of UMat::setTo
10 years ago
Julien Nabet
2d5e3b57ea
Fix cppcheck reports warnings:
...
(performance) Possible inefficient checking for 'lmap' emptiness
(warning) Assignment of function parameter has no effect outside the function. Did you forget dereferencing it?
(style) Array index '<xxx>' is used before limits check
10 years ago
Joe Howse
2d16026df6
more const correctness in OpenNI2 getProperty
10 years ago
Joe Howse
b7a3204c57
const correctness in OpenNI and OpenNI2 getProperty
10 years ago
Maksim Shabunin
11591b3e9d
Added Qt help generation support
10 years ago
Maksim Shabunin
b4050c775e
Updated sample files documentation inclusions
10 years ago
Maksim Shabunin
bebf6c47c6
Removed Sphinx generation commands from cmake scripts
10 years ago
Maksim Shabunin
d01bedbc61
Removed Sphinx documentation files
10 years ago
Vladislav Vinogradov
fe3f236aa5
disable GeneralizedHoughGuil performance test
10 years ago
Vladislav Vinogradov
f36546dbd2
improve error reporting in _InputArray methods
10 years ago
Vladislav Vinogradov
7c901e39e1
disable sanity test for GeneralizedHoughGuil
...
the algorithm is not stable yet
10 years ago
Vladislav Vinogradov
18d1be4530
fix tests for match template
10 years ago
Vladislav Vinogradov
26afa49d71
fix cuda match template:
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use correct types for integral/sum outputs
10 years ago
Vladislav Vinogradov
9b8c3fd675
rewrite cuda::cvtColor with new device layer and fix test failures
10 years ago
Maksim Shabunin
128e509527
Added enviroment search paths for OpenNI2 for linux and fixed specific warning
10 years ago
Vladislav Vinogradov
e7e0da0153
fix GpuMat::swap method:
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add swap instruction for allocator field
10 years ago
Vladislav Vinogradov
b33f3bb2cc
refactor CV_CUDA_TEST_MAIN, use CV_TEST_MAIN for it
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use CV_CUDA_TEST_MAIN for opencv_test_core to initialize CUDA
device information
10 years ago
Vladislav Vinogradov
8237418be6
add Allocator parameter to cudev::GpuMat_ contructors
10 years ago
Vladislav Vinogradov
f054d6316a
add cuda::HostMem::getAllocator method
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it allows to use cudaHostAlloc methods for cv::Mat objects
10 years ago
Vladislav Vinogradov
2f8e1798ca
add more FeatureSet constants
10 years ago
Vladislav Vinogradov
1be1a28920
move CUDA core tests to core module
10 years ago
Vladislav Vinogradov
53862687d5
rename CudaMem -> HostMem to better reflect its purpose
10 years ago
Vladislav Vinogradov
9210d8e542
move allocMatFromBuf function to farneback.cpp:
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* it is the only place, where it is used
* no need to make this function public
10 years ago
Vladislav Vinogradov
1d82aecf45
minor reorganization for CUDA doxygen groups:
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move main CUDA group to modules/core/cuda.hpp
10 years ago
Vladislav Vinogradov
b5ab82fdbd
mark old CUDA device layer as deprecated and remove it from doxygen documentation
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add a note to use new cudev module as a replacement
10 years ago
Vladislav Vinogradov
68e08bbecd
fix null stream initialization for multi-gpu systems
10 years ago
Vladislav Vinogradov
05d40946f3
move StackAllocator to cpp file
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it is internal class, no need to export it
10 years ago
Vladislav Vinogradov
7ed38b97c3
fix cuda::BufferPool deinitialization
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The deinitialization of BufferPool internal objects is controled by global
object, but it depends on other global objects, which leads to errors
caused by undefined deinitialization order of global objects.
I merge global objects initialization into single class, which performs
initialization and deinitialization in correct order.
10 years ago
Jiri Drbalek
d71e001736
fix crash when sample point out of image boundaries
10 years ago
Vladislav Vinogradov
ec33c4ae36
increase epsilons for tests due to different optimizations (IPP vs CUDA, float vs double)
10 years ago
Vladislav Vinogradov
25f33a7e30
update cudev color conversions according to the latest changes in CPU code
10 years ago
Vladislav Vinogradov
48c9c24da6
disable -Wshadow warning for CUDA modules:
...
it is generated by CUDA headers and we can't fix it
10 years ago
orestis
fffe2464cd
Change DescriptorExtractor_ORB regression test
...
to compensate for neon ieee754 non-compliancy.
Also changed the comparison between max valid and calculated distance to
make the error message more accurate (in case curMaxDist == maxDist)
10 years ago
orestis
9811a739b0
Change gaussianBlur5x5 perf test epsilon
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Set it 1 instead of 0.001, as is already done in gaussianBlur3x3. That
will allow integer destination matrices that are not exactly the same,
but very close to the expected result, to pass the test.
10 years ago
orestis
9c6da03504
SymmRowSmallVec_32f 1x5 asymm
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NEON speedup: 2.31x
Auto-vect speedup: 2.26x
Test kernel: [-0.9432, -1.1528, 0, 1.1528, 0.9432]
10 years ago
orestis
13c0855114
SymmRowSmallVec_32f 1x5
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NEON speedup: 2.36x
Auto-vect speedup: 2.36x
Test kernel: [0.1, 0.2408, 0.3184, 0.2408, 0.1]
10 years ago
orestis
ed0ce48179
SymmColumnVec_32f16s asymm
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NEON speedup: 9.46x
Auto-vect speedup: 1x
Test kernel: [-0.9432, -1.1528, 0, 1.1528, 0.9432]
10 years ago
orestis
a2a131799f
SymmColumnVec_32f16s
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NEON speedup: 8.64x
Auto-vect speedup: 1x
Test kernel: [0.1, 0.2408, 0.3184, 0.2408, 0.1]
10 years ago
orestis
37e018454d
SymmColumnSmallVec_32s16s 3x1 asymm
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NEON speedup: 2.12x
Auto-vect speedup: 1.01x
Test kernel: [-2, 0, 2]
10 years ago
orestis
4443d6b0a1
SymmColumnSmallVec_32s16s [-1, 0, 1]
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NEON speedup: 3.27x
Auto-vect speedup: 1.01x
10 years ago
orestis
99e782e62c
SymmColumnSmallVec_32s16s 3x1
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NEON speedup: 1.75x
Auto-vect speedup: 1x
10 years ago
orestis
33dfeb85be
SymmColumnSmallVec_32s16s [3, 10, 3] Scharr
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NEON speedup: 2.04x
Auto-vect speedup: 1x
10 years ago
orestis
61a7f48bf4
SymmColumnSmallVec_32s16s [1, -2, 1]
...
NEON speedup: 2.75x
Auto-vect speedup: 1.01x
10 years ago
orestis
4f906372e2
SymmColumnSmallVec_32s16s [1, 2, 1]
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NEON speedup: 2.66x
Auto-vect speedup: 1x
10 years ago
orestis
80a0364465
SymmColumnVec_32s8u asymm
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NEON speedup: 2.95x
Auto-vect speedup: 1x
Test kernel: [-0.9432, -1.1528, 0, 1.1528, 0.9432]
10 years ago
orestis
4f5916f12d
SymmColumnVec_32s8u
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NEON speedup: 1.96x
Auto-vect speedup: 1x
Test kernel: [0.0708, 0.2445, 0.3694, 0.2445, 0.0708]
10 years ago
orestis
1fb966dc61
SymmRowSmallVec_8u32s 1x5 asymm
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NEON speedup: 3.14x
Auto-vect speedup: 1.6x
Test kernel: [-5, -2, 0, 2, 5]
10 years ago
orestis
2e7b9a2c0f
SymmRowSmallVec_8u32s 1x3 asymmetric
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NEON speedup: 1.95x
Auto-vect speedup: 1.17x
Test kernel: [-2, 0, 2]
10 years ago
orestis
969a218057
SymmRowSmallVec_8u32s [-1, 0, 1]
...
NEON speedup: 1.84x
Auto-vect speedup: 1.2x
10 years ago
orestis
c0019a42e4
SymmRowSmallVec_8u32s 1x5 general
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NEON speedup: 3.86x
Auto-vect speedup: 1.67x
Test kernel: [0.0708, 0.2445, 0.3694, 0.2445, 0.0708]
10 years ago