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44 Commits

Author SHA1 Message Date
Alexander Alekhin
c3ac834526 Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2021-09-11 21:27:26 +00:00
rogday
d0e612dc36
Merge pull request #20647 from rogday:resize_concat_optimization 
Fix resize+concat optimization

* fix resize+concat optimization

* add comment and fix indentation
 2021-09-03 12:32:29 +00:00
Alexander Alekhin
c89084e6b7 Merge pull request #19223 from YashasSamaga:cuda4dnn-halfpix-linear-resize 2021-03-30 13:19:41 +00:00
Alexander Alekhin
b19f860384 Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2021-03-13 13:02:18 +00:00
Liubov Batanina
8d29a902e4 Added ngraph::op::v6::MVN 2021-03-12 21:02:03 +03:00
Liubov Batanina
95ab9468c1 Added ngraph::op::v4::Interpolation 2021-03-12 12:00:59 +03:00
YashasSamaga
8c74d7e4fa add half pixel centers and align corners param 2020-12-27 15:05:39 +05:30
Alexander Alekhin
dd1494eebf Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2020-12-11 19:27:20 +00:00
Anastasia Murzova
f2422ace7d Added TF nearest neighbour resize behaviour alignment 
Relates to OpenCV issue #18721
 2020-12-10 15:53:24 +03:00
Alexander Alekhin
de385009ae Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2020-12-09 18:09:00 +00:00
Anastasia Murzova
a82c50eac2 Added TF resize_bilinear behaviour alignment 
Fixes OpenCV issue #18721
 2020-12-08 22:51:38 +03:00
Alexander Alekhin
199687a1c5 Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2020-10-02 15:58:45 +00:00
Alexander Alekhin
e59793cc75 dnn: improve debugging of ONNX parsing errors 2020-09-27 23:04:48 +00:00
Ilya Churaev
d69a7a3bbf Fixed header paths for some nGraph ops 
* Added dependency on IE version

backport of commit: 992c908b56
 2020-07-06 19:51:57 +00:00
Ilya Churaev
992c908b56
Merge pull request #17756 from ilyachur:feature/ichuraev/fix_ngraph_headers 
* Fixed header paths for some nGraph ops

* Added dependency on IE version
 2020-07-06 08:11:59 +00:00
Alexander Alekhin
21e28adb87 Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2020-05-22 19:50:14 +00:00
Liubov Batanina
d991c22090
Merge pull request #16575 from l-bat:flownet2 
Support FlowNet2 model

* Support DataAugmentation layer

* Fix warnings

* Fix comments

* Support Correlation layer

* TEST

* Support Correlation layer

* Supported Accum and FlowWarp layers

* Supported ChannelNorm layer

* Supported Resample with inputs.size() > 1

* Fixed comments

* Refactoring

* Added tests

* Add resample test

* Added asserts in resize layer

* Updated DataAugmentation layer

* Update convolution layer

* Refactoring

* Fix data augmentation layer

* Fix caffe importer

* Fix resize

* Switch to Mat ptr

* Remove useless resize type

* Used ResizeLayer in Accum

* Split ChannelNormLayer

* Delete duplicate assert

* Add sample

* Fix sample

* Added colormap
 2020-05-19 12:29:50 +00:00
Alexander Alekhin
593af7287b Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2020-05-18 17:50:16 +00:00
Dmitry Kurtaev
b4a6aa335d TensorFlow bilinear resize downscale 2020-05-13 23:59:20 +03:00
Alexander Alekhin
619180dffd Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2020-03-06 20:41:30 +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
Alexander Alekhin
96b26dc8f4 Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2020-02-20 19:47:27 +03:00
Liubov Batanina
e970eccbf1
Merge pull request #16472 from l-bat:cp_vton 
Add CP-VTON sample

* Support resize from PyTorch

* Add CP-VTON sample

* Fix downsampling

* Fix test

* Add model links

* Add default args

* Speed up resize

* Fix TOM link

* Add default args

* Fix comments

* Set aspect ratio for input

* Update links

* Check files exist
 2020-02-17 22:29:37 +03:00
Alexander Alekhin
225566da7b Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2020-02-04 19:49:24 +03:00
Dmitry Kurtaev
005f38fb45 Fix dnn::ResizeLayer to manage varying input shapes 2020-02-04 09:06:17 +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
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
Alexander Alekhin
9d3d5e9d65 Merge pull request #13774 from l-bat:fix-IE-tests 2019-02-15 13:54:24 +00:00
Liubov Batanina
183c0fcab1 Changed condition for resize and lrn layers 2019-02-14 13:11:14 +03:00
Dmitry Kurtaev
0711dab09d Fix Intel's Inference Engine backend from future. Second try. 2019-02-11 19:47:57 +03:00
Dmitry Kurtaev
f0ddf302b2 Move Inference Engine to new API 2019-01-17 14:28:48 +03:00
Dmitry Kurtaev
b5c54e447c Extra hyperparameters for Intel's Inference Engine layers 2018-11-15 20:06:37 +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
472b71ecef Merge pull request #12243 from dkurt:dnn_tf_mask_rcnn 
* Support Mask-RCNN from TensorFlow

* Fix a sample
 2018-08-24 14:47:32 +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
Maksim Shabunin
e0603bb45f Fixed several issues found by static analysis tools 2018-07-23 17:22:47 +03:00
Maksim Shabunin
1da46fe6fb Fixed issues found by static analysis (mostly DBZ) 2018-07-17 16:14:54 +03:00
Dmitry Kurtaev
019c2f2115 Enable more deep learning tests 2018-07-05 14:23:15 +03:00
Dmitry Kurtaev
e8e9d1d021 Implement Interp layer using Resize layer 2018-06-22 19:26:47 +03:00
Dmitry Kurtaev
2c291bc2fb Enable FastNeuralStyle and OpenFace networks with IE backend 2018-06-09 15:57:12 +03:00
David
7175f257b5 Added ResizeBilinear op for tf (#11050) 
* Added ResizeBilinear op for tf

Combined ResizeNearestNeighbor and ResizeBilinear layers into Resize (with an interpolation param).

Minor changes to tf_importer and resize layer to save some code lines

Minor changes in init.cpp

Minor changes in tf_importer.cpp

* Replaced implementation of a custom ResizeBilinear layer to all layers

* Use Mat::ptr. Replace interpolation flags
 2018-06-07 16:29:04 +03:00