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518 Commits

Author SHA1 Message Date
Alexander Alekhin
b6a58818bb Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2019-11-11 20:25:42 +00:00
Lubov Batanina
cfc781949d Merge pull request #15811 from l-bat:eltwise_div 
Supported ONNX Squeeze, ReduceL2 and Eltwise::DIV

* Support eltwise div

* Fix test

* OpenCL support added

* refactoring

* fix code style

* Only squeeze with axes supported
 2019-11-09 14:11:09 +03:00
Dimitri Gerin
7c4158d8c2 Fix dnn::getLayerInputs 2019-11-07 08:13:33 +03:00
Alexander Alekhin
055ffc0425 Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2019-10-24 18:21:19 +00:00
Alexander Alekhin
d65fead337 Merge pull request #15752 from dkurt:fix_15750 2019-10-24 07:06:32 +00:00
Dmitry Kurtaev
dfe0368835 Fix custom IE layers in case of no MKLDNN plugin 2019-10-21 19:09:44 +03:00
Yashas Samaga B L
613c12e590 Merge pull request #14827 from YashasSamaga:cuda4dnn-csl-low 
CUDA backend for the DNN module

* stub cuda4dnn design

* minor fixes for tests and doxygen

* add csl public api directory to module headers

* add low-level CSL components

* add high-level CSL components

* integrate csl::Tensor into backbone code

* switch to CPU iff unsupported; otherwise, fail on error

* add fully connected layer

* add softmax layer

* add activation layers

* support arbitary rank TensorDescriptor

* pass input wrappers to `initCUDA()`

* add 1d/2d/3d-convolution

* add pooling layer

* reorganize and refactor code

* fixes for gcc, clang and doxygen; remove cxx14/17 code

* add blank_layer

* add LRN layer

* add rounding modes for pooling layer

* split tensor.hpp into tensor.hpp and tensor_ops.hpp

* add concat layer

* add scale layer

* add batch normalization layer

* split math.cu into activations.cu and math.hpp

* add eltwise layer

* add flatten layer

* add tensor transform api

* add asymmetric padding support for convolution layer

* add reshape layer

* fix rebase issues

* add permute layer

* add padding support for concat layer

* refactor and reorganize code

* add normalize layer

* optimize bias addition in scale layer

* add prior box layer

* fix and optimize normalize layer

* add asymmetric padding support for pooling layer

* add event API

* improve pooling performance for some padding scenarios

* avoid over-allocation of compute resources to kernels

* improve prior box performance

* enable layer fusion

* add const layer

* add resize layer

* add slice layer

* add padding layer

* add deconvolution layer

* fix channelwise  ReLU initialization

* add vector traits

* add vectorized versions of relu, clipped_relu, power

* add vectorized concat kernels

* improve concat_with_offsets performance

* vectorize scale and bias kernels

* add support for multi-billion element tensors

* vectorize prior box kernels

* fix address alignment check

* improve bias addition performance of conv/deconv/fc layers

* restructure code for supporting multiple targets

* add DNN_TARGET_CUDA_FP64

* add DNN_TARGET_FP16

* improve vectorization

* add region layer

* improve tensor API, add dynamic ranks

1. use ManagedPtr instead of a Tensor in backend wrapper
2. add new methods to tensor classes
  - size_range: computes the combined size of for a given axis range
  - tensor span/view can be constructed from a raw pointer and shape
3. the tensor classes can change their rank at runtime (previously rank was fixed at compile-time)
4. remove device code from tensor classes (as they are unused)
5. enforce strict conditions on tensor class APIs to improve debugging ability

* fix parametric relu activation

* add squeeze/unsqueeze tensor API

* add reorg layer

* optimize permute and enable 2d permute

* enable 1d and 2d slice

* add split layer

* add shuffle channel layer

* allow tensors of different ranks in reshape primitive

* patch SliceOp to allow Crop Layer

* allow extra shape inputs in reshape layer

* use `std::move_backward` instead of `std::move` for insert in resizable_static_array

* improve workspace management

* add spatial LRN

* add nms (cpu) to region layer

* add max pooling with argmax ( and a fix to limits.hpp)

* add max unpooling layer

* rename DNN_TARGET_CUDA_FP32 to DNN_TARGET_CUDA

* update supportBackend to be more rigorous

* remove stray include from preventing non-cuda build

* include op_cuda.hpp outside condition #if

* refactoring, fixes and many optimizations

* drop DNN_TARGET_CUDA_FP64

* fix gcc errors

* increase max. tensor rank limit to six

* add Interp layer

* drop custom layers; use BackendNode

* vectorize activation kernels

* fixes for gcc

* remove wrong assertion

* fix broken assertion in unpooling primitive

* fix build errors in non-CUDA build

* completely remove workspace from public API

* fix permute layer

* enable accuracy and perf. tests for DNN_TARGET_CUDA

* add asynchronous forward

* vectorize eltwise ops

* vectorize fill kernel

* fixes for gcc

* remove CSL headers from public API

* remove csl header source group from cmake

* update min. cudnn version in cmake

* add numerically stable FP32 log1pexp

* refactor code

* add FP16 specialization to cudnn based tensor addition

* vectorize scale1 and bias1 + minor refactoring

* fix doxygen build

* fix invalid alignment assertion

* clear backend wrappers before allocateLayers

* ignore memory lock failures

* do not allocate internal blobs

* integrate NVTX

* add numerically stable half precision log1pexp

* fix indentation, following coding style,  improve docs

* remove accidental modification of IE code

* Revert "add asynchronous forward"

This reverts commit 1154b9da9da07e9b52f8a81bdcea48cf31c56f70.

* [cmake] throw error for unsupported CC versions

* fix rebase issues

* add more docs, refactor code, fix bugs

* minor refactoring and fixes

* resolve warnings/errors from clang

* remove haveCUDA() checks from supportBackend()

* remove NVTX integration

* changes based on review comments

* avoid exception when no CUDA device is present

* add color code for CUDA in Net::dump
 2019-10-21 14:28:00 +03:00
Dmitry Kurtaev
af61a15839 Fix Darknet eltwise 2019-10-19 12:54:15 +03:00
Dmitry Kurtaev
adbd613660 Enable Eltwise layer with different numbers of inputs channels 2019-10-18 18:51:52 +03:00
Alexander Alekhin
626bfbf309 Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2019-10-05 15:45:31 +00:00
Alexander Alekhin
feff8bf972 Merge pull request #15626 from alalek:dnn_openvino_2019r3 2019-10-04 19:45:37 +00:00
Alexander Alekhin
c13a5ce229 Merge pull request #15622 from dkurt:enet_ie_cpu 2019-10-04 16:31:05 +00:00
Dmitry Kurtaev
e35fd463e7 Enable ENet with Inference Engine backend on CPU 2019-10-04 18:10:11 +03:00
Alexander Alekhin
fd11e3a81d dnn: update IE tests 2019-10-04 17:49:10 +03:00
Alexander Alekhin
f0058bbed3 dnn(test): fix optional test data 2019-10-04 17:26:35 +03:00
Alexander Alekhin
3fb6617d62 Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2019-10-02 17:49:19 +03:00
Alexander Alekhin
c06115cb3f Merge pull request #15619 from alalek:dnn_eltwise_sum_ie_ocl 2019-10-01 18:02:45 +00:00
Alexander Alekhin
8814645c8d dnn(test): skip IE/OCL test for "sum" 2019-10-01 18:29:47 +03:00
Alexander Alekhin
440a937d24 dnn: increase async test timeout 2019-10-01 13:31:57 +03:00
Dmitry Kurtaev
fba9fdfd27 Fix autodetection of input size for dnn networks 2019-09-30 16:05:15 +03:00
Alexander Alekhin
e2a5a6a05c Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2019-09-25 18:32:44 +00:00
Alexander Alekhin
7ce9428e96 Merge pull request #15580 from smbz:dnn-lstm-reverse 2019-09-25 15:54:06 +00:00
Andrew Ryrie
b88435fdc2 dnn: Allow LSTM layer to operate in reverse direction 
This is useful for bidirectional LSTMs.
 2019-09-25 14:12:43 +01:00
Alexander Alekhin
ee23a7575d Merge pull request #15515 from dkurt:dnn_detection_model_fix 2019-09-18 12:19:14 +00:00
Alexander Alekhin
b4c5b50a3e Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2019-09-13 17:15:45 +00:00
Dmitry Kurtaev
3ddb005480 Fix DetectionModel in case of out of [0, 1] range detection prediction 2019-09-13 12:58:56 +03:00
Dmitry Kurtaev
0428f60d66 Fix OpenVINO 2019R1 compilation 2019-09-13 09:22:34 +03:00
Alexander Alekhin
bea2c75452 Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2019-09-05 14:29:22 +03:00
Dmitry Kurtaev
ba703157cf Merge pull request #15063 from dkurt:dnn_ie_ocv_layers 
* Wrap unsupported by IE layers as custom layers

* Replace pointers to layers blobs to their shapes

* Enable Faster R-CNN with IE backend on CPU
 2019-09-03 18:58:57 +03:00
Alexander Alekhin
1661e83939 Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2019-08-30 16:22:42 +03:00
Lubov Batanina
90eb529bc4 Merge pull request #15395 from l-bat:fully_connected 
* Fix IE FullyConnected layer

* Fix MyriadX
 2019-08-29 10:52:02 +03:00
Dmitry Kurtaev
57676cf64d Fix https://github.com/opencv/opencv/issues/15141 2019-08-24 23:14:26 +03:00
Alexander Alekhin
a7b954f655 Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2019-08-23 19:24:37 +03:00
Alexander Alekhin
84b8a2fb05 Merge pull request #15303 from dkurt:fix_15296 2019-08-21 16:59:20 +00:00
luz.paz
fcc7d8dd4e Fix modules/ typos 
Found using `codespell -q 3 -S ./3rdparty -L activ,amin,ang,atleast,childs,dof,endwhile,halfs,hist,iff,nd,od,uint`

backporting of commit: ec43292e1e
 2019-08-16 17:34:29 +03:00
luz.paz
ec43292e1e Fix modules/ typos 
Found using `codespell -q 3 -S ./3rdparty -L activ,amin,ang,atleast,childs,dof,endwhile,halfs,hist,iff,nd,od,uint`
 2019-08-15 18:02:09 -04:00
Dmitry Kurtaev
e4a80aee09 Fix #15296 2019-08-14 19:44:05 +03:00
Diego
f7f2438478 Merge pull request #15082 from dvd42:segmentation-module 
Segmentation module (#15082)
 2019-08-13 23:38:48 +03:00
Alexander Alekhin
2ad0487cec Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2019-08-13 18:32:29 +00:00
Lubov Batanina
f1ea9d86b9 Merge pull request #15203 from l-bat:determine_inp_shape 
* Determine input shapes

* Add test

* Remove getInputShapes

* Fix model

* Fix constructors

* Add Caffe test

* Fix predict
 2019-08-09 19:51:42 +03:00
Dmitry Kurtaev
6193e403e7 Enable some tests for 2019R2 2019-08-07 09:07:53 +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
Alexander Alekhin
174b4ce29d Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2019-08-05 18:11:43 +00:00
Alexander Alekhin
b584c23061 Merge pull request #15158 from dkurt:fix_tf_ssd_configs 2019-08-02 16:08:55 +00:00
Maksim Shabunin
4dadf17bd9 Merge pull request #15168 from dkurt:dnn_onnx_15120 2019-07-31 15:03:23 +00:00
Lubov Batanina
778f42ad34 Add high level API (Merge pull request #14780) 
* Add high level API

* Fix Model

* Add DetectionModel

* Add ClassificationModel

* Fix classify

* Add python test

* Fix pytest

* Fix comments to review

* Fix detect

* Fix docs

* Modify DetectionOutput postprocessing

* Fix test

* Extract ref boxes

* Fix draw rect

* fix test

* Add rect wrap

* Fix wrap

* Fix detect

* Fix Rect wrap

* Fix OCL_FP16

* Fix MyriadX

* Fix nms

* Fix NMS

* Fix coords
 2019-07-30 23:07:37 +03:00
Lubov Batanina
5a6b23e8f3 Support for several min and max sizes in PriorBox layer (Merge pull request #15076) 
* Support for several min and max sizes in PriorBox layer

* Fix minSize

* Check size

* Modify initInfEngine

* Fix tests

* Fix IE support

* Add priorbox test

* Remove inputs
 2019-07-30 17:23:47 +03:00
Dmitry Kurtaev
f9f160404a Add support for slice from ONNX with multiple outputs 2019-07-28 21:20:25 +03:00
Dmitry Kurtaev
ebaefbb745 Remove VGG16 from ONNX test because there is VGG16_bn 2019-07-27 23:04:25 +03:00
Dmitry Kurtaev
77d4e3e8d2 Fix 2019R2 tests 2019-07-27 13:30:15 +03:00