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45 Commits

Author SHA1 Message Date
Dmitry Kurtaev
ca5976e3d4 Fix IE backend considering future changes. 2019-02-18 19:26:04 +03:00
Alexander Nesterov
9cbdb48d6d Fix change step 2019-02-07 11:14:20 -01:00
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
Hamdi Sahloul
a39e0daacf Utilize CV_UNUSED macro 2018-09-07 20:33:52 +09:00
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
Wu Zhiwen
ca51bbb7ff dnn: fix variance setting bug for PriorBoxLayer 
- The size of second channel should be size[2] of output tensor,
- The Scalar should be {variance[0], variance[0], variance[0], variance[0]}
  for _variance.size() == 1 case.

Signed-off-by: Wu Zhiwen <zhiwen.wu@intel.com>
 2018-08-30 11:05:38 +08:00
Alexander Alekhin
096366738b dnn(build): fix CV_Assert() usage 2018-08-22 16:04:40 +03:00
Alexander Alekhin
d2e08a524e core: repair CV_Assert() messages 
Multi-argument CV_Assert() is accessible via CV_Assert_N() (with malformed messages).
 2018-08-15 17:43:10 +03:00
Dmitry Kurtaev
dcc1beb1f8 Clip kernel for OpenCL PriorBox layer 2018-07-13 14:49:13 +03:00
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
Kuang Fangjun
9ae28415ec fix doc. 2018-06-03 17:44:24 +08:00
Dmitry Kurtaev
f96f934426 Update Intel's Inference Engine deep learning backend (#11587) 
* Update Intel's Inference Engine deep learning backend

* Remove cpu_extension dependency

* Update Darknet accuracy tests
 2018-05-31 14:05:21 +03:00
Li Peng
ba5e8befa9 fp16 ocl support for more layers 
Signed-off-by: Li Peng <peng.li@intel.com>
 2018-05-16 22:45:04 +08:00
Alexander Alekhin
65b0b319eb eliminate MSVS2017 build warning 
modules\dnn\src\layers\prior_box_layer.cpp(208): warning C4834: discarding return value of function with 'nodiscard' attribute
 2018-04-28 15:14:41 +03:00
Dmitry Kurtaev
bd77d100e1 Enable some tests for clDNN plugin from Intel's Inference Engine 2018-04-20 10:47:46 +03:00
Alexander Alekhin
e8a67de0d2 Merge pull request #11182 from dkurt:fix_11102_part_2 2018-03-30 13:11:01 +00:00
Alexander Alekhin
1060c0f439 dnn: apply CV_OVERRIDE/CV_FINAL 2018-03-28 18:43:27 +03:00
Dmitry Kurtaev
e039fc3a63 Replace protobuf's ReleaseLast to RemoveLast to deallocate memory. 
Change an order of PriorBox layer operations.
 2018-03-28 17:27:36 +03:00
Alexander Alekhin
9e0dee1259 Merge pull request #11112 from alalek:cmake_src_include_fix 2018-03-27 13:06:48 +00:00
Dmitry Kurtaev
e8fe6ee4e3 Fix prior box generation in case of squared proposals. 
Fix batch norm in training phase.
 2018-03-23 09:44:59 +03:00
Alexander Alekhin
6c051a55e5 cmake: don't add include <module>/src directory to avoid conflicts 
during opencv_world builds
 2018-03-19 11:14:15 +03:00
Alexander Alekhin
1b83bc48a1 dnn: make OpenCL DNN code optional 2018-03-01 12:12:40 +03:00
Dmitry Kurtaev
8b4871a28d Use only absolute prior boxes explicit sizes. Remove scales attributes. (#10874) 
* Use only absolute prior boxes explicit sizes. Remove scales attributes.

* Simplified PriorBox layer forward pass
 2018-02-19 17:25:18 +03:00
Li Peng
00d2f34888 ocl fix for detection_output and prior_box layer 
Signed-off-by: Li Peng <peng.li@intel.com>
 2018-02-13 23:09:14 +08:00
Dmitry Kurtaev
7fe97376c2 MobileNet-SSD from TensorFlow 1.3 and Inception-V2-SSD using Inference Engine backend 2018-02-09 13:45:45 +03:00
Dmitry Kurtaev
ed94136548 OpenCV face detection network using Inference Engine backend 2018-02-06 17:53:24 +03:00
Dmitry Kurtaev
10e1de74d2 Intel Inference Engine deep learning backend (#10608) 
* Intel Inference Engine deep learning backend.

* OpenFace network using Inference Engine backend
 2018-02-06 11:57:35 +03:00
Dmitry Kurtaev
9e9926a2f0 PriorBox layer with explicit normalized sizes 2018-01-24 14:01:42 +03:00
Alexander Alekhin
adf43e7d2a build: fix MSVS2010 build error 2017-12-23 00:06:34 +00:00
Li Peng
910d7dab1f prior box layer ocl implementation 
Signed-off-by: Li Peng <peng.li@intel.com>
 2017-12-19 17:44:10 +08:00
Dmitry Kurtaev
08112f3821 Faster-RCNN models support 2017-12-15 12:16:21 +03:00
Dmitry Kurtaev
99ed085752 Update PriorBox layer 2017-11-27 16:47:20 +03:00
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
a36ebaecdc PReLU layer for multidimensional input 2017-10-23 16:13:03 +03:00
Vladislav Sovrasov
f7175f5050 dnn: fix additional text boxes handling after the latest adaptations for TF 2017-10-11 14:04:48 +03:00
Vladislav Sovrasov
050916fd6b dnn: modify priorBox layer 2017-10-11 11:43:50 +03:00
Dmitry Kurtaev
e4aa39f9e5 Text TensorFlow graphs parsing. MobileNet-SSD for 90 classes. 2017-10-08 22:25:29 +03:00
Maksim Shabunin
ace0701a46 Merge pull request #9019 from alalek:dnn_trace 2017-06-29 07:33:46 +00:00
Maksim Shabunin
a769d69a9d Fixed several issues found by static analysis 2017-06-28 18:06:18 +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