David Koller
d1a3b530be
Make DNN Crop layer match Caffe default offset behavior
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and add parametric unit test for crop layer.
2018-01-17 10:52:36 -05:00
Li Peng
e77af4ae33
MVN layer ocl implementation
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Signed-off-by: Li Peng <peng.li@intel.com>
2018-01-17 17:11:32 +08:00
Li Peng
7bc017601f
Power, Tanh and Channels ReLU layer ocl support
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Signed-off-by: Li Peng <peng.li@intel.com>
2018-01-17 17:11:27 +08:00
Li Peng
4189214d04
batch_norm layer ocl update
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use a batch_norm ocl kernel to do the work
Signed-off-by: Li Peng <peng.li@intel.com>
2018-01-16 19:01:58 +08:00
Dmitry Kurtaev
1f4fdfd599
Untrainable version of Scale layer from Caffe
2018-01-13 10:35:29 +03:00
Dmitry Kurtaev
64a9e92390
Merge pull request #10466 from dkurt:reduce_umat_try_2
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* UMat blobs are wrapped
* Replace getUMat and getMat at OpenCLBackendWrapper
2018-01-10 21:50:54 +03:00
Li Peng
e3b42bf93b
batch_norm and blank layer ocl implementation
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Signed-off-by: Li Peng <peng.li@intel.com>
2018-01-09 21:58:46 +08:00
Li Peng
67f9406cbe
add normalize_bbox layer ocl implementation
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Signed-off-by: Li Peng <peng.li@intel.com>
2018-01-05 19:38:36 +08:00
Li Peng
f99a135eda
add eltwise layer ocl implementation
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Signed-off-by: Li Peng <peng.li@intel.com>
2018-01-05 19:38:30 +08:00
Li Peng
34bfd7ef51
add ocl implementation of proposal layer
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Signed-off-by: Li Peng <peng.li@intel.com>
2018-01-04 18:40:51 +08:00
Alexander Alekhin
7d67d60fb1
cmake(opt): AVX512_SKX
2017-12-29 07:18:11 +00:00
Alexander Alekhin
a65b5df5da
Merge pull request #10416 from fenrus75:avx512
2017-12-28 15:56:56 +00:00
Alexander Alekhin
898ca38257
cmake: AVX512 -> AVX_512F
2017-12-28 15:20:27 +00:00
Arjan van de Ven
2938860b3f
Provide a few AVX512 optimized functions for the DNN module
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This patch adds AVX512 optimized fastConv as well as the hookups
needed to get these called in the convolution_layer.
AVX512 fastConv is code-identical on a C level to the AVX2 one,
but is measurably faster due to AVX512 having more registers available
to cache results in.
Signed-off-by: Arjan van de Ven <arjan@linux.intel.com>
2017-12-26 16:00:17 +00:00
Alexander Alekhin
adf43e7d2a
build: fix MSVS2010 build error
2017-12-23 00:06:34 +00:00
Dmitry Kurtaev
c67e75b68f
Refactor NMS procedure at RegionLayer
2017-12-21 12:21:45 +03:00
Dmitry Kurtaev
0ed2cbc931
R-FCN models support
2017-12-20 10:43:22 +03:00
Alexander Alekhin
dcdd6af5a8
Merge pull request #10341 from pengli:dnn
2017-12-19 14:04:55 +00:00
Li Peng
910d7dab1f
prior box layer ocl implementation
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Signed-off-by: Li Peng <peng.li@intel.com>
2017-12-19 17:44:10 +08:00
Dmitry Kurtaev
2b43d4f477
Fix default pooling layer type
2017-12-17 16:46:40 +03:00
Maksim Shabunin
1033f2b1bd
Fixed 3 issues found by static analysis
2017-12-15 17:29:26 +03:00
Vadim Pisarevsky
62359f70ff
Merge pull request #10306 from dkurt:faster_rcnn
2017-12-15 12:23:53 +00:00
Dmitry Kurtaev
08112f3821
Faster-RCNN models support
2017-12-15 12:16:21 +03:00
Alexander Alekhin
0da947e6b3
dnn: more debug information
2017-12-14 19:21:17 +03:00
Alexander Alekhin
c231472ad6
Merge pull request #10290 from tomoaki0705:fixVS2012Round
2017-12-13 15:30:21 +00:00
Tomoaki Teshima
ecb6bcf2e0
fix build error on Visual Studio 2012
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* round doesn't exists in standard library of Visual Studio 2012
* apply the correct computation of ROI
2017-12-13 17:40:07 +03:00
Alexander Alekhin
eff42f6387
dnn: more debug info
2017-12-12 12:04:10 +03:00
Vadim Pisarevsky
7e680bd9ff
Merge pull request #10215 from dkurt:dnn_js
2017-12-11 12:47:52 +00:00
Vadim Pisarevsky
c24f10d647
Merge pull request #10268 from dkurt:fix_scale_layer
2017-12-08 18:46:50 +00:00
Dmitry Kurtaev
f503515082
JavaScript bindings for dnn module
2017-12-08 18:33:48 +03:00
Dmitry Kurtaev
e307065c8e
Scale layer in case of 2D inputs
2017-12-08 17:34:59 +03:00
Alexander Alekhin
f2070c9f5d
Merge pull request #10255 from dkurt:dnn_roi_pooling
2017-12-08 11:20:07 +00:00
Dmitry Kurtaev
17dcf0e82d
ROIPooling layer
2017-12-07 19:04:38 +03:00
Dmitry Kurtaev
ef0650179b
Fix conv/deconv/fc layers FLOPS computation
2017-12-07 11:42:04 +03:00
Alexander Alekhin
6074f92d48
Merge pull request #10228 from pengli:dnn_new
2017-12-06 15:50:12 +00:00
Li Peng
59cbaca4d3
detection_output layer ocl implementation
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Signed-off-by: Li Peng <peng.li@intel.com>
2017-12-06 22:35:59 +08:00
Li Peng
66feea6cac
region layer ocl implementation
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Signed-off-by: Li Peng <peng.li@intel.com>
2017-12-07 02:26:46 +08:00
Li Peng
7707c9bfba
reorg layer ocl implementation
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Signed-off-by: Li Peng <peng.li@intel.com>
2017-12-07 02:26:46 +08:00
Li Peng
85b1c4060c
support axis in concat layer ocl path
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Signed-off-by: Li Peng <peng.li@intel.com>
2017-12-07 02:26:46 +08:00
Li Peng
07bec6bdcd
reshape layer ocl implementation
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Signed-off-by: Li Peng <peng.li@intel.com>
2017-12-07 02:26:40 +08:00
Li Peng
7b7033ac60
permute layer ocl implementation
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Signed-off-by: Li Peng <peng.li@intel.com>
2017-12-05 22:10:05 +08:00
Dmitry Kurtaev
bbbec300a6
nn.BatchNormalization and nn.Dropout layers from Torch
2017-12-04 12:57:21 +03:00
Dmitry Kurtaev
99ed085752
Update PriorBox layer
2017-11-27 16:47:20 +03:00
Alexander Alekhin
f071a48ec7
Merge pull request #10143 from pengli:ocl4dnn
2017-11-23 18:47:14 +00:00
Alexander Alekhin
0f34628af7
dnn: drop OpenCL code path for DetectionOutputLayer
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getUMat()/getMat() calls are scope based. Results of these calls can't be
stored somewhere for future usage.
2017-11-21 17:28:42 +03:00
Alexander Alekhin
438e456ce9
Merge pull request #10113 from wzw-intel:fusion
2017-11-20 18:13:33 +00:00
Dmitry Kurtaev
6c5dd5cf6d
Replace caffe::NormalizedBBox to local structure
2017-11-20 18:03:31 +03:00
Wu Zhiwen
45d11dde57
dnn(ocl4dnn): add fusion support for Power activation and eltwise add
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Signed-off-by: Wu Zhiwen <zhiwen.wu@intel.com>
2017-11-20 14:58:53 +08:00
Li Peng
55260a8d3c
reshape mat before doing computation in fc layer
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Signed-off-by: Li Peng <peng.li@intel.com>
2017-11-13 09:29:50 +08:00
Li Peng
8f99083726
Add new layer forward interface
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Add layer forward interface with InputArrayOfArrays and
OutputArrayOfArrays parameters, it allows UMat buffer to be
processed and transferred in the layers.
Signed-off-by: Li Peng <peng.li@intel.com>
2017-11-09 15:59:39 +08:00
