Commit Graph

31 Commits

Author SHA1 Message Date
Liubov Batanina
4625337179 Add docs reduce mean 2020-01-10 12:49:06 +03:00
Liubov Batanina
e9e3af0aaa Add global pool by axis test 2020-01-10 11:32:48 +03:00
Liubov Batanina
d99d18304a Slice v1 op 2019-12-06 09:56:21 +03:00
Lubov Batanina
7523c777c5 Merge pull request #15537 from l-bat:ngraph
* Support nGraph

* Fix resize
2019-12-02 16:16:06 +03:00
Lubov Batanina
0e1ef8f8e1 Merge pull request #15184 from l-bat:IE_R2
Support new IE API (#15184)

* Add support OpenVINO R2 for layers

* Add Core API

* Fix tests

* Fix expectNoFallbacksFromIE for ONNX nets

* Remove deprecated API

* Remove td

* Remove TargetDevice

* Fix Async

* Add test

* Fix detectMyriadX

* Fix test

* Fix warning
2019-08-06 22:20:26 +03:00
Liubov Batanina
0d2bc7b5fd Fix TF Split layer 2019-07-17 15:50:50 +03:00
Dmitry Kurtaev
eba696a41e Merge pull request #14792 from dkurt:dnn_ie_min_version_r5
* Remove Inference Engine 2018R3 and 2018R4

* Fix 2018R5
2019-06-14 18:17:02 +03:00
Lubov Batanina
5e80191d27 Merge pull request #14697 from l-bat:Slice_ONNX
* Support Slice layer in ONNX importer

* Add IE support

* Fix ONNX importer

* Fix Slice
2019-06-08 16:52:40 +03:00
Dmitry Kurtaev
44d21e5a79 Enable Slice layer on Inference Engine backend 2019-05-27 16:28:01 +03:00
Dmitry Kurtaev
f0ddf302b2 Move Inference Engine to new API 2019-01-17 14:28:48 +03:00
Alexander Alekhin
96c71dd3d2 dnn: reduce set of ignored warnings 2018-11-15 13:15:59 +03:00
Dmitry Kurtaev
24ab751547 Merge pull request #12565 from dkurt:dnn_non_intel_gpu
* Remove isIntel check from deep learning layers

* Remove fp16->fp32 fallbacks where it's not necessary

* Fix Kernel::run to prevent localsize > globalsize
2018-09-26 16:27:00 +03:00
Dmitry Kurtaev
d486204a0d Merge pull request #12264 from dkurt:dnn_remove_forward_method
* 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
2018-09-06 13:26:47 +03:00
Dmitry Kurtaev
8e034053af Faster-RCNN from TensorFlow on CPU with Intel's Inference Engine backend 2018-08-01 11:29:58 +03:00
Dmitry Kurtaev
019c2f2115 Enable more deep learning tests 2018-07-05 14:23:15 +03:00
Dmitry Kurtaev
2c291bc2fb Enable FastNeuralStyle and OpenFace networks with IE backend 2018-06-09 15:57:12 +03:00
Li Peng
3dd916882a fp16 ocl support for googlenet
Signed-off-by: Li Peng <peng.li@intel.com>
2018-05-16 22:45:02 +08:00
Alexander Alekhin
8c349ff8ff core: added MatSize::dims() method
to avoid accessing of 'p[-1]' (static code analysers dislike this)
2018-04-27 16:57:29 +03:00
Alexander Alekhin
1060c0f439 dnn: apply CV_OVERRIDE/CV_FINAL 2018-03-28 18:43:27 +03:00
Alexander Alekhin
1b83bc48a1 dnn: make OpenCL DNN code optional 2018-03-01 12:12:40 +03:00
Li Peng
389fa5d38e slice layer ocl update
Signed-off-by: Li Peng <peng.li@intel.com>
2018-02-06 22:59:47 +08:00
Alexander Alekhin
42569cfd61 Merge pull request #10748 from dkurt:fix_dnn_slice_layer 2018-02-01 13:21:17 +00:00
Dmitry Kurtaev
184862582c Fix slice layer from TensorFlow 2018-01-31 19:12:37 +03:00
Li Peng
7a4c5e9421 slice layer ocl support
Signed-off-by: Li Peng <peng.li@intel.com>
2018-01-29 22:34:32 +08:00
Li Peng
8f99083726 Add new layer forward interface
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
Dmitry Kurtaev
4b52b8df34 Layers for fast-neural-style models: https://github.com/jcjohnson/fast-neural-style 2017-10-27 14:26:45 +03:00
Dmitry Kurtaev
2a21c10837 Fix TensorFlow split layer 2017-10-02 22:44:42 +03:00
Dmitry Kurtaev
84cec17913 LSTM layer for TensorFlow importer 2017-09-26 12:59:36 +03:00
Alexander Alekhin
ed10383359 dnn: added trace macros 2017-06-28 14:57:26 +03:00
Vadim Pisarevsky
8b3d6603d5 another round of dnn optimization (#9011)
* another round of dnn optimization:
* increased malloc alignment across OpenCV from 16 to 64 bytes to make it AVX2 and even AVX-512 friendly
* improved SIMD optimization of pooling layer, optimized average pooling
* cleaned up convolution layer implementation
* made activation layer "attacheable" to all other layers, including fully connected and addition layer.
* fixed bug in the fusion algorithm: "LayerData::consumers" should not be cleared, because it desctibes the topology.
* greatly optimized permutation layer, which improved SSD performance
* parallelized element-wise binary/ternary/... ops (sum, prod, max)

* also, added missing copyrights to many of the layer implementation files

* temporarily disabled (again) the check for intermediate blobs consistency; fixed warnings from various builders
2017-06-28 11:15:22 +03:00
Alexander Alekhin
93729784bb dnn: move module from opencv_contrib
e6f63c7a38/modules/dnn
2017-06-26 13:41:51 +03:00