mirror/opencv
1
0
Fork 0
mirror of https://github.com/opencv/opencv.git synced 2024-12-12 07:09:12 +08:00
Code Issues Actions Packages Projects Releases Wiki Activity
28,522 Commits 6 Branches 127 Tags 3 GiB
152e6476d9
Commit Graph

171 Commits

Author SHA1 Message Date
Alexander Alekhin
152e6476d9 Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2020-04-24 19:02:39 +00:00
Alexander Alekhin
83c4378d5d dnn(test): skip failed NGRAPH/MYRIAD tests 2020-04-22 15:00:23 +00:00
Alexander Alekhin
1537a5f253 Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2020-04-09 19:19:20 +00:00
Alexander Alekhin
06bf845783 Merge pull request #16979 from dkurt:dnn_fused_resize_conv 2020-04-08 13:29:51 +00:00
Alexander Alekhin
b8579f12be Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2020-04-08 10:19:09 +00:00
Dmitry Kurtaev
b36eba7fab Support FusedResizeAndPadConv2D from TensorFlow 2020-04-04 16:02:17 +03:00
Dmitry Kurtaev
7e4b2057f2 Import TF2.0 network from Keras 2020-03-25 15:34:28 +03:00
Alexander Alekhin
ca23c0e630 Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2020-03-17 13:23:33 +03:00
Dmitry Kurtaev
b927ce18b2 Support for MobileNetV3-SSD from TensorFlow 2020-03-08 21:09:21 +03:00
YashasSamaga
98b5fb4b9f disable MaskRCNN test for CUDA_FP16 2020-02-28 15:44:37 +05:30
Alexander Alekhin
45d073f889 Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2020-02-26 20:09:03 +03:00
Dmitry Kurtaev
d8dea7896b
Merge pull request #16628 from dkurt:dnn_ngraph_custom_layers 
* Custom layers with nGraph

* nGraph: multiple outputs from nodes
 2020-02-26 17:51:18 +03:00
Alexander Alekhin
96b26dc8f4 Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2020-02-20 19:47:27 +03:00
Dmitry Kurtaev
f3eef792eb Enable Mask R-CNN with Inference Engine. Full coverage with nGraph 2020-02-20 10:13:40 +03:00
Alexander Alekhin
aa2777ed61 Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2020-02-10 19:40:29 +03:00
Alexander Alekhin
db9f4436e0
Merge pull request #16473 from ashishkrshrivastava:opencvtf 2020-02-09 11:52:24 +03:00
ashishiva3@gmail.com
cd53144ed3 commit: Corrected end tensor_content parsing for StridedSlice layer. 2020-02-09 06:43:23 +05:30
Alexander Alekhin
8ecfb59930 dnn(test): skip failed ngraph tests 2020-02-07 22:43:40 +00:00
Alexander Alekhin
560f85f8e5 Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2020-01-28 14:26:57 +03:00
Alexander Alekhin
5429b1f5ff Merge pull request #16223 from l-bat:lip_jppnet 2020-01-27 19:17:43 +00:00
Alexander Alekhin
4cb9faf6c9 Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2020-01-14 17:04:22 +03:00
Dmitry Kurtaev
8f1e36f7c1 Disable some tests for Myriad target of nGraph 
Add lightweight IE hardware targets checks

nGraph: Concat with paddings

Enable more nGraph tests

Restore FP32->FP16 for GPU plugin of IE

try to fix buildbot

Use lightweight IE targets check only starts from R4
 2020-01-13 15:35:47 +03:00
Liubov Batanina
e9e3af0aaa Add global pool by axis test 2020-01-10 11:32:48 +03:00
Yashas Samaga B L
1fac1421e5 Merge pull request #16010 from YashasSamaga:cuda4dnn-fp16-tests 
* enable tests for DNN_TARGET_CUDA_FP16

* disable deconvolution tests

* disable shortcut tests

* fix typos and some minor changes

* dnn(test): skip CUDA FP16 test too (run_pool_max)
 2019-12-20 16:36:32 +03:00
Alexander Alekhin
8108fb0575 Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2019-12-05 18:27:45 +03:00
Dmitry Kurtaev
d8e10f3a8d Enable MaxPooling with indices in Inference Engine 2019-12-04 19:14:55 +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
fd11e3a81d dnn: update IE tests 2019-10-04 17:49:10 +03:00
Dmitry Kurtaev
0428f60d66 Fix OpenVINO 2019R1 compilation 2019-09-13 09:22:34 +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
Dmitry Kurtaev
57676cf64d Fix https://github.com/opencv/opencv/issues/15141 2019-08-24 23:14:26 +03:00
Dmitry Kurtaev
e4a80aee09 Fix #15296 2019-08-14 19:44:05 +03:00
Dmitry Kurtaev
6193e403e7 Enable some tests for 2019R2 2019-08-07 09:07:53 +03:00
Dmitry Kurtaev
a0c3bb70a9 Modify SSD from TensorFlow graph generation script to enable MyriadX 2019-07-26 13:57:08 +03:00
Alexander Alekhin
416c693b3f dnn(test): OpenVINO 2019R2 2019-07-25 19:01:16 +03:00
Lubov Batanina
781f4d439e Merge pull request #15032 from l-bat:reduce_mean 
* Added support for the ONNX "ReduceMean" Layer. (as this is the same as the GlobalAveragePool)

* Add ReduceMean test

* Fix ONNX importer

* Fix ReduceMean

* Add assert

* Split test

* Fix split test
 2019-07-19 19:18:34 +03:00
Liubov Batanina
0d2bc7b5fd Fix TF Split layer 2019-07-17 15:50:50 +03:00
Lubov Batanina
8bcd7e122a Merge pull request #14842 from l-bat:ocv_conv3d 
* Support Conv3D on OCV backend

* Add header

* Add perf tests

* Support pool3d

* Enable Resnet34_kinetics on OCV backend

* Add test

* Fix conv

* Optimize Conv2D
 2019-07-11 20:13:52 +03:00
gal0is
206b546e5a tensroflow support maxpoolgrad 2019-07-03 09:53:17 +08:00
Dmitry Kurtaev
75f4c1abf2 Enable some tests for Inference Engine backend 2019-06-28 15:52:31 +03:00
Alexander Alekhin
44d146af9a Merge pull request #14814 from alalek:dnn_skip_test_tags 2019-06-25 22:00:25 +00:00
Feng Chen
5620306c70 Merge pull request #14845 from vonchenplus:ocv_mirrorpad 
* tensorflow support mirror pad

* revert macro define

* revert macro define

* reduce code duplication

* revert macro define
 2019-06-24 12:27:42 +03:00
Alexander Alekhin
894f208de3 dnn(test): replace SkipTestException with tags 2019-06-23 13:12:23 +00:00
Alexander Alekhin
13a782c039 test: fix usage of findDataFile() 
misused 'optional' mode
 2019-06-20 18:20:14 +03:00
Dmitry Kurtaev
dfdc91f8c9 dnn: fix MVN layer (issue 14683) 2019-06-14 18:38:05 +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
805ab6331f Merge pull request #14662 from dkurt:dnn_tf_fix_identity_switch 2019-05-30 20:22:17 +00:00
Alexander Alekhin
52548bde05 dnn(test): replace file content reading 2019-05-29 23:08:33 +03:00