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59 Commits

Author SHA1 Message Date
Alexander Alekhin
c722625f28 Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2020-04-28 16:53:19 +00:00
Alexander Alekhin
9181ecfc7b cmake: fix protobuf handling 2020-04-27 02:11:19 +00:00
Alexander Alekhin
2cef100303 Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2020-04-16 18:28:27 +00:00
Ilya Lavrenov
91b0100287 Fixed compilation when NN builder is not built 2020-04-14 15:05:01 +03:00
Alexander Alekhin
e661ad2a67 eliminate build warnings 2020-03-27 11:39:07 +00:00
Alexander Alekhin
b4b4d21212 eliminate build warnings 2020-03-26 19:18:09 +00:00
Alexander Alekhin
d00e58cdb0 Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2020-03-10 22:49:51 +00:00
Alexander Alekhin
510a8520c7 Merge pull request #16746 from alalek:dnn_switch_ie_backend_ngraph 2020-03-10 13:52:33 +00:00
Alexander Alekhin
db95aec4a7 dnn(ie): switch to nGraph backend by default 2020-03-10 14:33:22 +03:00
Alexander Alekhin
9b3be01b83 Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2020-03-09 20:27:34 +00:00
NesQl
0bcdf7d03e
Merge pull request #16724 from liqi-c:3.4-tengine 
* Add Tengine support .

* Modify printf to CV_LOG_WARNING

* a few minor fixes in the code

* Renew Tengine version

* Add header file for CV_LOG_WARNING

* Add #ifdef HAVE_TENGINE in tengine_graph_convolution.cpp

* remove trailing whitespace

* Remove trailing whitespace

* Modify for compile problem

* Modify some code style error

* remove whitespace

* Move some code style problem

* test

* add ios limit and build problem

* Modified as alalek suggested

* Add cmake 2.8 support

* modify cmake 3.5.1 problem

* test and set BUILD_ANDROID_PROJECTS OFF

* remove some compile error

* remove some extra code in tengine

* close test.

* Test again

* disable android.

* delete ndk version judgement

* Remove setenv() call . and add License information

* Set tengine default OFF. Close test .

Co-authored-by: Vadim Pisarevsky <vadim.pisarevsky@gmail.com>
 2020-03-09 14:59:23 +00:00
Alexander Alekhin
124bf8339f dnn(IE): use HAVE_DNN_IE_NN_BUILDER_2019 for NN Builder API code 
- CMake option: OPENCV_DNN_IE_NN_BUILDER_2019
 2020-03-03 08:07:54 +00:00
Alexander Alekhin
29d214474f dnn(IE): use HAVE_DNN_IE_NN_BUILDER_2019 for NN Builder API code 
- CMake option: OPENCV_DNN_IE_NN_BUILDER_2019
 2020-03-03 07:45:09 +00:00
Julien
4e2ef8c8f5 Merge pull request #16218 from JulienMaille:cuda-dnn-for-older-gpus 
Enable cuda4dnn on hardware without support for __half

* Enable cuda4dnn on hardware without support for half (ie. compute capability < 5.3)

Update CMakeLists.txt

Lowered minimum CC to 3.0

* UPD: added ifdef on new copy kernel

* added fp16 support detection at runtime

* Clarified #if condition on atomicAdd definition

* More explicit CMake error message
 2020-01-15 18:28:37 +03:00
Alexander Alekhin
92b9888837 Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2019-12-12 13:02:19 +03:00
Alexander Alekhin
5ee7abbe3c
Merge pull request #16088 from alalek:dnn_eltwise_layer_different_src_channels 
dnn(eltwise): fix handling of different number of channels

* dnn(test): reproducer for Eltwise layer issue from PR16063

* dnn(eltwise): rework support for inputs with different channels

* dnn(eltwise): get rid of finalize(), variableChannels

* dnn(eltwise): update input sorting by number of channels

- do not swap inputs if number of channels are same after truncation

* dnn(test): skip "shortcut" with batch size 2 on MYRIAD targets
 2019-12-11 20:16:58 +03:00
Alexander Alekhin
4b0132ed7a Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2019-12-02 16:26:52 +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
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
Alexander Alekhin
2ad0487cec Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2019-08-13 18:32:29 +00:00
Tomoaki Teshima
40c71a2463 suppress noisy warning 
* add -Wno-psabi when using GCC 6
  * add -Wundef for CUDA 10
  * add -Wdeprecated-declarations when using GCC 7
  * add -Wstrict-aliasing and -Wtautological-compare for GCC 7
  * replace cudaThreadSynchronize with cudaDeviceSynchronize
 2019-08-08 21:49:32 +09:00
Yashas Samaga B L
ae279966c2 Merge pull request #14660 from YashasSamaga:dnn-cuda-build 
add cuDNN dependency and setup build for cuda4dnn (#14660)

* update cmake for cuda4dnn

- Adds FindCUDNN
- Adds new options:
   * WITH_CUDA
   * OPENCV_DNN_CUDA
- Adds CUDA4DNN preprocessor symbol for the DNN module

* FIX: append EXCLUDE_CUDA instead of overwrite

* remove cuDNN dependency for user apps

* fix unused variable warning
 2019-06-02 14:47:15 +03:00
Alexander Alekhin
fcb07c64f3 cmake: fix build of dnn tests with shared common code 
- don't share .cpp files (PCH support is broken)
 2019-03-31 08:52:25 +00:00
Sayed Adel
de22442046 dnn:perf add missing definition __OPENCV_TEST to fix pch 2019-03-31 03:28:33 +02:00
Lubov Batanina
7d3d6bc4e2 Merge pull request #13932 from l-bat:MyriadX_master_dldt 
* Fix precision in tests for MyriadX

* Fix ONNX tests

* Add output range in ONNX tests

* Skip tests on Myriad OpenVINO 2018R5

* Add detect MyriadX

* Add detect MyriadX on OpenVINO R5

* Skip tests on Myriad next version of OpenVINO

* dnn(ie): VPU type from environment variable

* dnn(test): validate VPU type

* dnn(test): update DLIE test skip conditions
 2019-03-29 16:42:58 +03:00
Alexander Alekhin
96c71dd3d2 dnn: reduce set of ignored warnings 2018-11-15 13:15:59 +03:00
Dmitry Kurtaev
c8f3579f93 Fix #12542 (#12603) 
* Fix #12542

* Remove ignore of non-virtual-dtor error
 2018-09-26 16:08:51 +03:00
Alexander Alekhin
29bee6f07e cmake: move Matlab scripts to opencv_contrib (#12541) 
* matlab: move to opencv_contrib

* cmake: preserve variables scope for processing modules

- use macro instead of function to avoid scope resets
 2018-09-17 14:55:42 +03:00
Lubov Batanina
0c8590027f Merge pull request #12071 from l-bat/l-bat:onnx_parser 
* Add Squeezenet support in ONNX

* Add AlexNet support in ONNX

* Add Googlenet support in ONNX

* Add CaffeNet and RCNN support in ONNX

* Add VGG16 and VGG16 with batch normalization support in ONNX

* Add RCNN, ZFNet, ResNet18v1 and ResNet50v1 support in ONNX

* Add ResNet101_DUC_HDC

* Add Tiny Yolov2

* Add CNN_MNIST, MobileNetv2 and LResNet100 support in ONNX

* Add ONNX models for emotion recognition

* Add DenseNet121 support in ONNX

* Add Inception v1 support in ONNX

* Refactoring

* Fix tests

* Fix tests

* Skip unstable test

* Modify Reshape operation
 2018-09-10 21:07:51 +03:00
Dmitry Kurtaev
50bceea038 Include preprocessing nodes to object detection TensorFlow networks (#12211) 
* Include preprocessing nodes to object detection TensorFlow networks

* Enable more fusion

* faster_rcnn_resnet50_coco_2018_01_28 test
 2018-08-31 15:41:56 +03:00
Maksim Shabunin
7cf52de47e dnn: modified IE search, R2 compatibility fixed 2018-07-31 14:48:06 +03:00
Dmitry Kurtaev
28e08ae0bd Add a sample which tests OpenVINO models 2018-07-23 19:08:51 +03:00
Alexander Alekhin
e2b5d11290 dnn: allow to use external protobuf 
"custom layers" feature will not work properly in these builds.
 2018-07-09 17:28:45 +03:00
Vadim Pisarevsky
dc27d52221
temporarily disabled OpenCL use in DNN module on Mac (#11828) 
* temporarily disabled OpenCL use in DNN module on Mac, since some of the tests fail

* disable OpenCL in DNN on Mac at CMake level, not source level (thanks to alalek for the advice)
 2018-06-26 09:35:18 +03:00
Maksim Shabunin
020ad1ac76 dnn: allow setting IE paths via command line 2018-05-22 14:40:03 +03:00
Alexander Alekhin
6c8014e7d1 cmake: disable checks for protobuf generated files 2018-03-28 18:43:28 +03:00
Dmitry Kurtaev
2f3a9ba1d4 Update OpenCVDetectInferenceEngine.cmake 2018-03-28 16:34:37 +03:00
Alexander Alekhin
1b83bc48a1 dnn: make OpenCL DNN code optional 2018-03-01 12:12:40 +03:00
luz.paz
5718d09e39 Misc. modules/ typos 
Found via `codespell`
 2018-02-12 07:09:43 -05:00
Alexander Alekhin
5a791e6e06 cmake: update reporting of excluded dispatching files (#10711) 
* cmake: add ocv_get_smart_file_name() macro

* cmake: avoid adding files for unavailable dispatch modes
 2018-02-12 14:48:20 +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
Alexander Alekhin
3d6659112f cmake: fix includes processing 2018-02-02 21:52:54 +03:00
Maksim Shabunin
e56d6054aa Do not build protobuf without dnn (#10689) 
* Do not build protobuf if dnn is disabled

* Added BUILD_LIST cmake option to the cache

* Moved protobuf to the top level

* Fixed static build

* Fixed world build

* fixup! Fixed world build
 2018-02-01 16:30:23 +03:00
Alexander Alekhin
4d84999452 dnn: protobuf build warnings 2018-01-15 21:15:23 +00:00
Alexander Alekhin
6674a024fc dnn: add OPENCV_DNN_DISABLE_MEMORY_OPTIMIZATIONS runtime option 
replaces REUSE_DNN_MEMORY compile-time option
 2018-01-07 18:38:14 +00:00
Alexander Alekhin
7d67d60fb1 cmake(opt): AVX512_SKX 2017-12-29 07:18:11 +00:00
Alexander Alekhin
8e7af7f089 Merge pull request #10456 from dkurt:dnn_allocate_mem_for_optimized_concat 2017-12-28 16:04:51 +00:00
Alexander Alekhin
898ca38257 cmake: AVX512 -> AVX_512F 2017-12-28 15:20:27 +00:00
Dmitry Kurtaev
a9807d8f54 Allocate new memory for optimized concat to prevent collisions. 
Add a flag to disable memory reusing in dnn module.
 2017-12-28 16:45:53 +03:00
Arjan van de Ven
2938860b3f Provide a few AVX512 optimized functions for the DNN module 
This patch adds AVX512 optimized fastConv as well as the hookups
needed to get these called in the convolution_layer.

AVX512 fastConv is code-identical on a C level to the AVX2 one,
but is measurably faster due to AVX512 having more registers available
to cache results in.

Signed-off-by: Arjan van de Ven <arjan@linux.intel.com>
 2017-12-26 16:00:17 +00:00