Alexander Alekhin
61b6d40539
Merge pull request #16377 from alalek:fix_16373
2020-01-20 10:48:21 +00:00
ashishiva3@gmail.com
f29bc22005
Convolutional padding parsing modified
2020-01-19 22:33:12 +05:30
Julien
886220b9be
Merge pull request #16273 from JulienMaille:wrapper_available_target
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* add a wrapper for getAvailableTargets
* add java wrapper on Target enum
2020-01-17 19:24:37 +03:00
Alexander Alekhin
55d54b56bf
dnn(onnx): handle unaligned access in ONNX importer
2020-01-17 19:03:34 +03:00
Julien Maille
a696348ec5
FIX: disable dnn cuda input_shortcut on _half for CC<5.3
2020-01-17 14:21:25 +01:00
Yashas Samaga B L
d85e67d3ec
Merge pull request #16063 from YashasSamaga:cuda4dnn-shortcut-unequal
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support eltwise sum with different number of input channels in CUDA backend
* add shortcut primitive
* add offsets in shortcut kernel
* skip tests involving more than two inputs
* remove redundant modulus operation
* support multiple inputs
* remove whole file indentation
* skip acc in0 trunc test if weighted
* use shortcut iff channels are unequal
2020-01-16 21:54:00 +03:00
Dmitry Kurtaev
8b9e8a805d
MVN support through nGraph
2020-01-16 18:15:31 +03:00
Alexander Alekhin
2638c5e9b7
dnn: dump layer's blobs on getMemoryShapes() error
2020-01-16 14:59:47 +03:00
Julien
ced3df73da
Fix: rsqrt(float) was improperly put in the ifdef for half
2020-01-16 09:21:50 +01:00
YashasSamaga
fd369a5004
fix and optimize ROIPooling
2020-01-15 22:53:48 +05:30
Alexander Alekhin
f6137292f1
Merge pull request #16357 from dkurt:dnn_ie_reset_myriad
2020-01-15 17:03:09 +00:00
Dmitry Kurtaev
d92a883de1
Different way to reset Myriad device
2020-01-15 18:52:37 +03:00
Alexander Alekhin
f6a8f7859c
Merge pull request #16354 from dkurt:dnn_ie_custom_cpu_layers
2020-01-15 15:33:18 +00:00
Julien
4e2ef8c8f5
Merge pull request #16218 from JulienMaille:cuda-dnn-for-older-gpus
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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
Dmitry Kurtaev
7c741f54fa
Wrap custom OpenCV layers to try-catch
2020-01-15 17:44:38 +03:00
Dmitry Kurtaev
0d896af8ec
Fix uninitialized value
2020-01-15 12:58:12 +03:00
Alexander Alekhin
4cb9faf6c9
Merge remote-tracking branch 'upstream/3.4' into merge-3.4
2020-01-14 17:04:22 +03:00
Alexander Alekhin
a67228cd73
Merge pull request #16291 from dkurt:dnn_onnx_graph_simplifier
2020-01-14 12:45:59 +00:00
Liubov Batanina
be86338a79
Enable acrossSpatial normalizeL2 on Myriad
2020-01-14 12:51:19 +03:00
Dmitry Kurtaev
c1c84d2fd1
ONNX graphs simplifier
2020-01-14 12:45:49 +03:00
Alexander Alekhin
3f27f8cf41
Merge pull request #16232 from dkurt:dnn_ie_ngraph_fix_myriad_tests
2020-01-13 16:59:45 +00:00
Dmitry Kurtaev
8f1e36f7c1
Disable some tests for Myriad target of nGraph
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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
Alexander Alekhin
fb61f88b9c
Merge remote-tracking branch 'upstream/3.4' into merge-3.4
2020-01-12 09:35:39 +00:00
Liubov Batanina
9ed372b297
Update get memory shapes
2020-01-10 14:09:08 +03:00
Liubov Batanina
4625337179
Add docs reduce mean
2020-01-10 12:49:06 +03:00
Liubov Batanina
e9e3af0aaa
Add global pool by axis test
2020-01-10 11:32:48 +03:00
Liubov Batanina
a33d50084d
Add global_pooling_dim flags
2020-01-10 09:01:57 +03:00
Liubov Batanina
7eba3a7c96
Add pack description
2020-01-09 13:59:35 +03:00
Alexander Alekhin
1f2b2c5242
Merge pull request #16230 from YashasSamaga:cuda4dnn-fp-conversion
2020-01-05 11:59:33 +00:00
Alexander Alekhin
1996ae4a42
Merge remote-tracking branch 'upstream/3.4' into merge-3.4
2019-12-31 10:11:39 +00:00
Dmitry Kurtaev
f954f0830c
Sort text TensorFlow graphs
2019-12-31 11:43:32 +03:00
YashasSamaga
48eecafc89
simplify code to help MSVC 19.10 and lower
2019-12-30 23:02:17 +05:30
Dmitry Kurtaev
76cfa65d55
AddV2 from TensorFlow
2019-12-30 20:06:58 +03:00
YashasSamaga
01f97f150c
perfor fp conversions on GPU
2019-12-30 00:05:39 +05:30
YashasSamaga
17a35587e1
use optimized cuDNN path for conv + bias + relu
2019-12-29 13:08:38 +05:30
Liubov Batanina
752653c70b
Update global pooling
2019-12-28 18:03:40 +03:00
Alexander Alekhin
9ec3d76b21
Merge pull request #16241 from bwignall:typo
2019-12-27 16:18:57 +00:00
Brian Wignall
f9c514b391
Fix spelling typos
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backport commit 659ffaddb4
2019-12-27 12:46:53 +00:00
Brian Wignall
659ffaddb4
Fix spelling typos
2019-12-26 06:45:03 -05:00
Liubov Batanina
cf477f7e9f
Fix global axis
2019-12-24 16:42:00 +03:00
Liubov Batanina
543e0302d3
Support global pooling by axis
2019-12-24 16:16:58 +03:00
YashasSamaga
16bc505d26
improve reduction logic and add fast transpose kernel
2019-12-24 00:23:45 +05:30
Liubov Batanina
6e33769e56
Add human parsing demo
2019-12-23 15:47:20 +03:00
Yashas Samaga B L
1fac1421e5
Merge pull request #16010 from YashasSamaga:cuda4dnn-fp16-tests
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* 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
97b6068c46
dnn(test): don't require downloaded data
2019-12-19 19:31:59 +00:00
Alexander Alekhin
4c86fc13cb
Merge remote-tracking branch 'upstream/3.4' into merge-3.4
2019-12-19 15:09:05 +03:00
Alexander Alekhin
4342657762
Merge pull request #16034 from Quantizs:irLoadFromBuffer
2019-12-19 10:00:07 +00:00
Alexander Alekhin
b8e0898c7c
Merge pull request #16082 from YashasSamaga:cuda4dnn-roi-pooling
2019-12-18 14:41:58 +00:00
antalzsiroscandid
aa80f754f4
dnn: reading IR models from buffer
2019-12-18 15:31:08 +01:00
Alexander Alekhin
61969dc158
Merge pull request #16171 from YashasSamaga:cuda4dnn-tensor-cores
2019-12-17 18:58:12 +00:00
Alexander Alekhin
2c0d9fa81f
dnn(test): fix Test_Model.Keypoints* tests
2019-12-16 18:07:23 +03:00
YashasSamaga
cf93df41fc
enable tensor cores for fp16 convolutions
2019-12-16 15:38:12 +05:30
Alexander Alekhin
ba7b0f4c54
Merge remote-tracking branch 'upstream/3.4' into merge-3.4
2019-12-15 11:23:46 +00:00
Yashas Samaga B L
17c485eb03
Merge pull request #16092 from YashasSamaga:cuda4dnn-conv-act-fuse
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cuda4dnn: fuse activations with convolutions
* fuse ReLU, ReLU6, TanH, Sigmoid with conv
* fix OpenCL errors
* improve ReLU, add power, swish and mish
* fix missing fusion entries
* fix handling of unsetAttached
* remove whole file indentation
* optimize power = 1.0, use IDENTITY instead of NONE
* handle edge case: change backend and then clear
2019-12-14 22:26:58 +03:00
Xuanda Yang
3d60a9b96c
Merge pull request #16156 from TH3CHARLie:3.4
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* Eltwise::DIV support in Halide backend
* fix typo
* remove div from generated test suite to pass CI, switching to manual test...
* ensure divisor not near to zero
* use randu
* dnn(test): update test data for Eltwise.Accuracy/DIV layer test
2019-12-13 18:29:39 +03:00
Diego
5b0b59ecfb
Merge pull request #15189 from dvd42:keypoints_module
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Keypoints module
2019-12-13 18:00:06 +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
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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
2a11103a73
Merge pull request #16098 from alalek:dnn_clarify_error_getMemoryShapes
2019-12-11 14:02:15 +00:00
Alexander Alekhin
939099b9ce
Merge pull request #16107 from dkurt:dnn_ie_ngraph_v1_conv
2019-12-10 12:10:50 +00:00
Alexander Alekhin
2a19db0f0a
Merge pull request #16106 from dkurt:dnn_ie_ngraph_weights_fusion
2019-12-10 12:08:04 +00:00
Dmitry Kurtaev
fe77223dee
Modify nGraph's ConvolutionBackpropData and GroupConvolution
2019-12-10 14:14:00 +03:00
Yashas Samaga B L
3fddd3bf93
Merge pull request #16069 from YashasSamaga:cuda4dnn-crop_and_resize
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add CropAndResize layer for CUDA backend
* add CropAndResize layer
* process multiple channels per iteration
2019-12-09 22:26:58 +03:00
Alexander Alekhin
45f6931352
Merge pull request #16089 from dkurt:dnn_ie_fix_fpga
2019-12-09 19:26:00 +00:00
Dmitry Kurtaev
c2ca3ee2fa
Fix weights fusion for Convolution and Deconvolution layers in nGraph
2019-12-09 19:06:47 +03:00
Alexander Alekhin
b505cf84de
Merge pull request #16096 from YashasSamaga:cuda4dnn-region-optimize
2019-12-09 14:34:48 +00:00
Yashas Samaga B L
476a02739e
Merge pull request #16097 from YashasSamaga:cuda4dnn-optimize-resize-bilinear
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cuda4dnn(resize): process multiple channels each iteration
* resize bilinear: process multiple chans. per iter.
* remove unused headers
* correct dispatch logic
* resize_nn: process multiple chans. per iter.
2019-12-09 17:31:27 +03:00
Dmitry Kurtaev
883c4c60c3
Remove Dummy layer
2019-12-09 12:49:47 +03:00
Alexander Alekhin
b1b505f783
dnn: clarify error message from getMemoryShapes()
2019-12-08 22:17:24 +00:00
Yashas
dd3f517fe9
optimize region kernels
2019-12-08 21:03:30 +05:30
Alexander Alekhin
202ba124a5
Merge pull request #16087 from YashasSamaga:cuda4dnn-eltwise-div
2019-12-06 18:33:55 +00:00
Lubov Batanina
629d47fcd8
Merge pull request #15988 from l-bat:custom_layer
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Test create custom layer in python
* check is contiguos
* Add custom layer test
* Fix test
* Remove assert
* Move assert to pyopencv dnn
* remove assert
* Add unregister
* Fix python2
* proto to bytearray
* Fix data type
2019-12-06 21:29:57 +03:00
Dmitry Kurtaev
beb5b291b9
Fix HETERO:FPGA,CPU plugin for IE backend
2019-12-06 19:35:11 +03:00
YashasSamaga
a91eca6ec2
add DIV support to EltwiseOp
2019-12-06 21:28:36 +05:30
Alexander Alekhin
51d54ad4f0
Merge pull request #16076 from l-bat:prior_ngraph
2019-12-06 14:08:21 +00:00
YashasSamaga
9b8ddba4d1
add ROIPoolingOp
2019-12-06 18:19:37 +05:30
Liubov Batanina
660a709840
Support Swish and Mish activations
2019-12-06 11:27:59 +03:00
Liubov Batanina
d99d18304a
Slice v1 op
2019-12-06 09:56:21 +03:00
Dmitry Kurtaev
134094a442
Backport fix for autodetection of input shapes
2019-12-05 19:25:51 +03:00
Alexander Alekhin
8108fb0575
Merge remote-tracking branch 'upstream/3.4' into merge-3.4
2019-12-05 18:27:45 +03:00
Alexander Alekhin
986c5084a4
Merge pull request #16036 from dkurt:dnn_backport_15203
2019-12-05 09:56:00 +00:00
Dmitry Kurtaev
d8e10f3a8d
Enable MaxPooling with indices in Inference Engine
2019-12-04 19:14:55 +03:00
Alexander Alekhin
72315e7b00
Merge pull request #16045 from YashasSamaga:cuda4dnn-hotfix-log1p-expm1
2019-12-04 15:50:07 +00:00
Alexander Alekhin
1633c29f29
Merge pull request #16037 from alalek:dnn_test_fix_skip_vulkan
2019-12-04 15:49:47 +00:00
YashasSamaga
fbb3f64a1a
fix expm1 and log1p for __half/__half2
2019-12-03 15:25:35 +05:30
Alexander Alekhin
0dc0bc80ae
dnn(test): fix Vulkan skip test tag
2019-12-02 18:22:10 +03:00
Dmitry Kurtaev
ca1ba7a53d
Backport for dnn input shape estimation
2019-12-02 16:28:59 +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
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* Support nGraph
* Fix resize
2019-12-02 16:16:06 +03:00
Manjunath Bhat
78c5e41c23
Merge pull request #15808 from thebhatman:Mish_swish
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* Added Swish and Mish activations
* Fixed whitespace errors
* Kernel implementation done
* Added function for launching kernel
* Changed type of 1.0
* Attempt to add test for Swish and Mish
* Resolving type mismatch for log
* exp from device
* Use log1pexp instead of adding 1
* Added openCL kernels
2019-12-02 00:06:17 +03:00
thebhatman
8a18d132fc
Port Swish and Mish layers
2019-12-01 11:55:39 +03:00
Alexander Alekhin
01a28db949
Merge remote-tracking branch 'upstream/3.4' into merge-3.4
2019-11-29 18:57:33 +03:00
Brian Wignall
9276f1910b
Fix some typos
2019-11-25 19:55:07 -05:00
Dmitry Kurtaev
6e14cc2189
Resolve https://github.com/opencv/opencv/issues/15863
2019-11-24 21:59:25 +03:00
Alexander Alekhin
ad0ab4109a
Merge remote-tracking branch 'upstream/3.4' into merge-3.4
2019-11-22 22:47:13 +00:00
Alexander Alekhin
86042af108
dnn: fix registration of custom OpenCVLayer
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- do not require extensions library
2019-11-20 21:42:26 +00:00
Alexander Alekhin
318cba4ce3
Merge remote-tracking branch 'upstream/3.4' into merge-3.4
2019-11-19 19:48:49 +00:00
Alexander Alekhin
26513285dd
Merge pull request #15945 from alalek:dnn_ie_extension_handling
2019-11-19 14:25:12 +00:00
Alexander Alekhin
09d54c9f52
dnn: update InferenceEngine extension handling
2019-11-19 06:55:14 +00:00
Alexander Alekhin
fc41c18c6f
Merge remote-tracking branch 'upstream/3.4' into merge-3.4
2019-11-18 13:56:24 +03:00
Alexander Alekhin
7ec91aefc1
python: force using of ArgInfo
2019-11-15 19:16:22 +03:00
Liubov Batanina
ac4fd4f4ae
Fix ReduceL2
2019-11-14 15:30:53 +03:00
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
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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
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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
6d811f9879
Merge pull request #15641 from alalek:dnn_pytest_update_3.4
2019-10-05 15:28:52 +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
Alexander Alekhin
ab5252c18e
dnn(pytest): backport changes from master, update test setUp()
2019-10-04 18:43:35 +03:00
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
2b66495a9d
dnn: use OpenVINO 2019R3 defines
2019-10-02 18:47:01 +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
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This is useful for bidirectional LSTMs.
2019-09-25 14:12:43 +01:00
Lubov Batanina
e923712d81
Merge pull request #15572 from l-bat:deconv3d
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Fix computation of internal shapes in Deconvolution layer
* Fix computation of internal shapes
* Refactoring
2019-09-25 15:35:04 +03:00
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
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* 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
48d41ab088
dnn: bump API version
2019-09-02 14:25:18 +03:00
Alexander Alekhin
70dfae31a2
experimental version++
2019-09-02 14:17:36 +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
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* 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
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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
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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
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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
Alexander Alekhin
e0cb01e2cf
Merge pull request #15249 from dkurt:dnn_ie_tests_2019r2
2019-08-12 16:32:38 +00:00
Lubov Batanina
f1ea9d86b9
Merge pull request #15203 from l-bat:determine_inp_shape
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* Determine input shapes
* Add test
* Remove getInputShapes
* Fix model
* Fix constructors
* Add Caffe test
* Fix predict
2019-08-09 19:51:42 +03:00
Alexander Alekhin
6f267be6f1
Merge pull request #15260 from tomoaki0705:suppressNoisyWarning
2019-08-08 15:45:29 +00:00