Dmitry Kurtaev
bc4e471847
Add a mutex for shared Inference Engine plugins
6 years ago
Dmitry Kurtaev
c918ac298c
Fix IE tests
6 years ago
Dmitry Kurtaev
ff775b2e54
Remove ASSERT_ANY_THROW checks fpr Myriad plugin and FP32 networks
6 years ago
Alexander Nesterov
97c3bcb1b7
Added fix for other size
6 years ago
Dmitry Kurtaev
f0ddf302b2
Move Inference Engine to new API
6 years ago
Dmitry Kurtaev
59ce1d80a5
Fix dnn tests for Inference Engine R5
6 years ago
Dmitry Kurtaev
53f6198f27
Minor fixes in IE backend tests
6 years ago
Dmitry Kurtaev
84ce2cc211
Enable some dnn tests according to the new Intel's Inference Engine release (R4)
6 years ago
Dmitry Kurtaev
0d117312c9
DNN_TARGET_FPGA using Intel's Inference Engine
6 years ago
Dmitry Kurtaev
b5c54e447c
Extra hyperparameters for Intel's Inference Engine layers
6 years ago
Alexander Alekhin
96c71dd3d2
dnn: reduce set of ignored warnings
6 years ago
Dmitry Kurtaev
09fa758725
Replace Darknet's Reorg to permute layer
6 years ago
Dmitry Kurtaev
d486204a0d
Merge pull request #12264 from dkurt:dnn_remove_forward_method
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* Remove a forward method in dnn::Layer
* Add a test
* Fix tests
* Mark multiple dnn::Layer::finalize methods as deprecated
* Replace back dnn's inputBlobs to vector of pointers
* Remove Layer::forward_fallback from CV_OCL_RUN scopes
6 years ago
Dmitry Kurtaev
6ec230480d
Enable Myriad tests with batch size > 1
6 years ago
Dmitry Kurtaev
3e027df583
Enable more deep learning tests using Intel's Inference Engine backend
6 years ago
Alexander Alekhin
d2e08a524e
core: repair CV_Assert() messages
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Multi-argument CV_Assert() is accessible via CV_Assert_N() (with malformed messages).
6 years ago
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.
6 years ago
Dmitry Kurtaev
070393dfda
uint8 inputs for deep learning networks
6 years ago
Dmitry Kurtaev
dcc1beb1f8
Clip kernel for OpenCL PriorBox layer
6 years ago
Alexander Alekhin
e2b5d11290
dnn: allow to use external protobuf
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"custom layers" feature will not work properly in these builds.
7 years ago
Alexander Alekhin
52b151dceb
dnn(test): use checkMyriadTarget() in Test_Caffe_layers.Conv_Elu test
7 years ago
Dmitry Kurtaev
019c2f2115
Enable more deep learning tests
7 years ago
Dmitry Kurtaev
f25a01bb5a
Disable fusion to output layers
7 years ago
Dmitry Kurtaev
7ed5d85f25
Add Reshape layer tests
7 years ago
Dmitry Kurtaev
346871e27f
Set output layers names and types for models in DLDT's intermediate representation
7 years ago
Dmitry Kurtaev
b11e22c25b
Update Inference Engine tests
7 years ago
Dmitry Kurtaev
e8e9d1d021
Implement Interp layer using Resize layer
7 years ago
Dmitry Kurtaev
4626246087
Add ShuffleChannel layer
7 years ago
Dmitry Kurtaev
40b85c1cd9
Remove undocumented feature to retreive layers outputs by indices
7 years ago
Dmitry Kurtaev
40765c5f8d
Enable SSD models from TensorFlow with OpenCL plugin of Intel's Inference Engine
7 years ago
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
7 years ago
Dmitry Kurtaev
b781ac7346
Make Intel's Inference Engine backend is default if no preferable backend is specified.
7 years ago
Dmitry Kurtaev
ab389142af
Fix multiple networks with Intel's Inference Engine backend
7 years ago
Dmitry Kurtaev
32bab45f81
Fix Inference Engine graphs with fused output layers
7 years ago
Dmitry Kurtaev
4ec456f0a0
Custom layers for deep learning networks ( #11129 )
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* Custom deep learning layers support
* Stack custom deep learning layers
7 years ago
Dmitry Kurtaev
4ef6c91583
Fix multiple inputs for models from Intel's Model Optimizer
7 years ago
Dmitry Kurtaev
ef1aaf12c9
Fix Proposal deep learning layer
7 years ago
Dmitry Kurtaev
e039fc3a63
Replace protobuf's ReleaseLast to RemoveLast to deallocate memory.
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Change an order of PriorBox layer operations.
7 years ago
Dmitry Kurtaev
7972f47ed4
Load networks from intermediate representation of Intel's Deep learning deployment toolkit.
7 years ago
Dmitry Kurtaev
e8fe6ee4e3
Fix prior box generation in case of squared proposals.
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Fix batch norm in training phase.
7 years ago
Dmitry Kurtaev
f8d0d6365e
Add a flag to manage average pooling with padding
7 years ago
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
7 years ago
Li Peng
7a4c5e9421
slice layer ocl support
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Signed-off-by: Li Peng <peng.li@intel.com>
7 years ago
Li Peng
2124361ff7
ocl support for Deconvolution layer
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Signed-off-by: Li Peng <peng.li@intel.com>
7 years ago
David Koller
d1a3b530be
Make DNN Crop layer match Caffe default offset behavior
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and add parametric unit test for crop layer.
7 years ago
Li Peng
e77af4ae33
MVN layer ocl implementation
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Signed-off-by: Li Peng <peng.li@intel.com>
7 years ago
Li Peng
7bc017601f
Power, Tanh and Channels ReLU layer ocl support
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Signed-off-by: Li Peng <peng.li@intel.com>
7 years ago
Dmitry Kurtaev
1f4fdfd599
Untrainable version of Scale layer from Caffe
7 years ago
Li Peng
f99a135eda
add eltwise layer ocl implementation
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Signed-off-by: Li Peng <peng.li@intel.com>
7 years ago
Li Peng
00f03c5739
Add ocl version FasterRCNN accuracy test
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Signed-off-by: Li Peng <peng.li@intel.com>
7 years ago