Dmitry Kurtaev
faa6c4e1e1
Faster-RCNN anf RFCN models on CPU using Intel's Inference Engine backend.
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Enable Torch layers tests with Intel's Inference Engine backend.
2018-07-25 19:04:55 +03:00
Dmitry Kurtaev
070393dfda
uint8 inputs for deep learning networks
2018-07-19 14:37:33 +03:00
Dmitry Kurtaev
dcc1beb1f8
Clip kernel for OpenCL PriorBox layer
2018-07-13 14:49:13 +03:00
Alexander Alekhin
529d38613b
Merge pull request #11923 from alalek:dnn_external_protobuf
2018-07-09 16:07:42 +00:00
Alexander Alekhin
e2b5d11290
dnn: allow to use external protobuf
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"custom layers" feature will not work properly in these builds.
2018-07-09 17:28:45 +03:00
Alexander Alekhin
52b151dceb
dnn(test): use checkMyriadTarget() in Test_Caffe_layers.Conv_Elu test
2018-07-09 16:20:46 +03:00
Vadim Pisarevsky
523b6f32ba
Merge pull request #11867 from dkurt:dnn_ie_layers
2018-07-06 13:13:20 +00:00
Dmitry Kurtaev
019c2f2115
Enable more deep learning tests
2018-07-05 14:23:15 +03:00
Dmitry Kurtaev
f25a01bb5a
Disable fusion to output layers
2018-07-04 15:53:47 +03:00
Dmitry Kurtaev
7ed5d85f25
Add Reshape layer tests
2018-07-03 08:26:43 +03:00
Dmitry Kurtaev
346871e27f
Set output layers names and types for models in DLDT's intermediate representation
2018-06-28 10:21:45 +03:00
Dmitry Kurtaev
b11e22c25b
Update Inference Engine tests
2018-06-26 15:38:08 +03:00
Dmitry Kurtaev
e8e9d1d021
Implement Interp layer using Resize layer
2018-06-22 19:26:47 +03:00
Dmitry Kurtaev
4626246087
Add ShuffleChannel layer
2018-06-21 19:10:42 +03:00
Dmitry Kurtaev
40b85c1cd9
Remove undocumented feature to retreive layers outputs by indices
2018-06-20 14:44:21 +03:00
Dmitry Kurtaev
40765c5f8d
Enable SSD models from TensorFlow with OpenCL plugin of Intel's Inference Engine
2018-06-08 16:55:21 +03:00
rockzhan
1187a7fa34
Merge pull request #11649 from rockzhan:dnn_dw_prelu
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dnn: Fix output mismatch when forward dnn model contain [depthwise conv(group=1) + bn + prelu] (#11649 )
* this can make sure [depthwise conv(group=1) + bn + prelu] output not shift
* add TEST to show the output mismatch in [DWconv+Prelu]
* fix typo
* change loading image to init cvMat directly
* build runtime model, without loading external model
* remove whitespace
* change way to create a cvmat
* add bias_term, add target output
* fix [dwconv + prelu] value mismatch when no optimizations
* fix Test error when change output channels
* add parametric test
* change num_output to group value
* change conv code and change test back
2018-06-07 13:45:54 +00:00
Vadim Pisarevsky
3cbd2e2764
Merge pull request #11650 from dkurt:dnn_default_backend
2018-06-06 09:30:39 +00:00
Dmitry Kurtaev
b781ac7346
Make Intel's Inference Engine backend is default if no preferable backend is specified.
2018-06-04 18:31:46 +03:00
Dmitry Kurtaev
ab389142af
Fix multiple networks with Intel's Inference Engine backend
2018-06-01 14:10:32 +03:00
Dmitry Kurtaev
32bab45f81
Fix Inference Engine graphs with fused output layers
2018-05-31 16:21:08 +03:00
Dmitry Kurtaev
4ec456f0a0
Custom layers for deep learning networks ( #11129 )
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* Custom deep learning layers support
* Stack custom deep learning layers
2018-04-24 14:59:59 +03:00
Dmitry Kurtaev
4ef6c91583
Fix multiple inputs for models from Intel's Model Optimizer
2018-04-11 13:28:07 +03:00
Dmitry Kurtaev
ef1aaf12c9
Fix Proposal deep learning layer
2018-04-04 14:48:29 +03:00
Alexander Alekhin
e8a67de0d2
Merge pull request #11182 from dkurt:fix_11102_part_2
2018-03-30 13:11:01 +00:00
Dmitry Kurtaev
e039fc3a63
Replace protobuf's ReleaseLast to RemoveLast to deallocate memory.
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Change an order of PriorBox layer operations.
2018-03-28 17:27:36 +03:00
Dmitry Kurtaev
7972f47ed4
Load networks from intermediate representation of Intel's Deep learning deployment toolkit.
2018-03-26 07:24:21 +03:00
Dmitry Kurtaev
e8fe6ee4e3
Fix prior box generation in case of squared proposals.
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Fix batch norm in training phase.
2018-03-23 09:44:59 +03:00
Dmitry Kurtaev
f8d0d6365e
Add a flag to manage average pooling with padding
2018-02-14 16:56:31 +03:00
Alexander Alekhin
4a297a2443
ts: refactor OpenCV tests
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- removed tr1 usage (dropped in C++17)
- moved includes of vector/map/iostream/limits into ts.hpp
- require opencv_test + anonymous namespace (added compile check)
- fixed norm() usage (must be from cvtest::norm for checks) and other conflict functions
- added missing license headers
2018-02-03 19:39:47 +00:00
Li Peng
7a4c5e9421
slice layer ocl support
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Signed-off-by: Li Peng <peng.li@intel.com>
2018-01-29 22:34:32 +08:00
Alexander Alekhin
c3569211d5
Merge pull request #10591 from drkoller:master
2018-01-19 09:44:21 +00:00
Li Peng
2124361ff7
ocl support for Deconvolution layer
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Signed-off-by: Li Peng <peng.li@intel.com>
2018-01-18 23:40:22 +08:00
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
Dmitry Kurtaev
1f4fdfd599
Untrainable version of Scale layer from Caffe
2018-01-13 10:35:29 +03:00
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
Alexander Alekhin
2b3c140f04
Merge pull request #10436 from alalek:test_threads
2017-12-28 18:29:30 +03:00
Li Peng
00f03c5739
Add ocl version FasterRCNN accuracy test
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Signed-off-by: Li Peng <peng.li@intel.com>
2017-12-28 19:15:15 +08:00
Alexander Alekhin
9b131b5f7e
dnn(test): avoid calling of cv::setNumThreads() in tests directly
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It is not necessary by default.
Also it breaks test system command-line parameters: --perf_threads / --test_threads
2017-12-27 15:16:41 +00:00
Dmitry Kurtaev
70c605a03d
Limit Concat layer optimization
2017-12-26 16:49:33 +03:00
Dmitry Kurtaev
08112f3821
Faster-RCNN models support
2017-12-15 12:16:21 +03:00
Dmitry Kurtaev
17dcf0e82d
ROIPooling layer
2017-12-07 19:04:38 +03:00
Dmitry Kurtaev
20a2dc6ac5
Fix multiple inputs models from Caffe.
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Fixed Concat optimization.
2017-11-02 18:55:08 +03:00
Dmitry Kurtaev
a36ebaecdc
PReLU layer for multidimensional input
2017-10-23 16:13:03 +03:00
Vadim Pisarevsky
b7ff9ddcdd
Merge pull request #9705 from AlexeyAB:dnn_darknet_yolo_v2
2017-10-10 12:02:03 +00:00
AlexeyAB
ecc34dc521
Added DNN Darknet Yolo v2 for object detection
2017-10-09 21:08:44 +03:00
Dmitry Kurtaev
eabf728682
PReLU layer from Caffe
2017-10-09 20:30:37 +03:00
Dmitry Kurtaev
ad8bbaf008
Multidimensional eltwise layer.
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Fixed fully-connected layer axis.
2017-10-04 14:01:44 +03:00