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
6 years ago
7c4158d8c2
Fix dnn::getLayerInputs
6 years ago
dfe0368835
Fix custom IE layers in case of no MKLDNN plugin
6 years ago
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
6 years ago
af61a15839
Fix Darknet eltwise
6 years ago
adbd613660
Enable Eltwise layer with different numbers of inputs channels
6 years ago
e35fd463e7
Enable ENet with Inference Engine backend on CPU
6 years ago
2b66495a9d
dnn: use OpenVINO 2019R3 defines
6 years ago
fba9fdfd27
Fix autodetection of input size for dnn networks
6 years ago
b88435fdc2
dnn: Allow LSTM layer to operate in reverse direction
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This is useful for bidirectional LSTMs.
6 years ago
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
6 years ago
b8d4664e6e
Fix OpenVINO 2019R1 compilation
6 years ago
bd5d16ce36
Fix DetectionModel in case of out of [0, 1] range detection prediction
6 years ago
3ddb005480
Fix DetectionModel in case of out of [0, 1] range detection prediction
6 years ago
0428f60d66
Fix OpenVINO 2019R1 compilation
6 years ago
a0d227714e
dnn: use OpenVINO 2019R3 defines
6 years ago
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
6 years ago
90eb529bc4
Merge pull request #15395 from l-bat:fully_connected
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* Fix IE FullyConnected layer
* Fix MyriadX
6 years ago
57676cf64d
Fix https://github.com/opencv/opencv/issues/15141
6 years ago
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
6 years ago
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`
6 years ago
e4a80aee09
Fix #15296
6 years ago
f7f2438478
Merge pull request #15082 from dvd42:segmentation-module
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Segmentation module (#15082 )
6 years ago
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
6 years ago
a9839af903
Add preprocessing warps for separate parameters
6 years ago
0e1ef8f8e1
Merge pull request #15184 from l-bat:IE_R2
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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
6 years ago
778f42ad34
Add high level API (Merge pull request #14780 )
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* 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
6 years ago
5a6b23e8f3
Support for several min and max sizes in PriorBox layer (Merge pull request #15076 )
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* 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
6 years ago
f9f160404a
Add support for slice from ONNX with multiple outputs
6 years ago
47c5ee5d9c
Fixes for OpenCV face detection network
6 years ago
77d4e3e8d2
Fix 2019R2 tests
6 years ago
d2911a8d41
dnn: use OpenVINO 2019R2 defines
6 years ago
781f4d439e
Merge pull request #15032 from l-bat:reduce_mean
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* 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
6 years ago
12fdaf895e
Merge pull request #15057 from l-bat:fix_vizualizer
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* Fix dumpToFile
* Add test
* Fix test
6 years ago
0d2bc7b5fd
Fix TF Split layer
6 years ago
34f6b05467
Merge pull request #14996 from l-bat:ocv_deconv3d
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* Support Deconvolution3D on IE backend
* Add test tag
* Fix tests
6 years ago
8bcd7e122a
Merge pull request #14842 from l-bat:ocv_conv3d
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* Support Conv3D on OCV backend
* Add header
* Add perf tests
* Support pool3d
* Enable Resnet34_kinetics on OCV backend
* Add test
* Fix conv
* Optimize Conv2D
6 years ago
57fae4a6a1
Merge pull request #14858 from dvd42:instancenorm_onnx
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Instancenorm onnx (#14858 )
* Onnx unsupported operation handling
* instance norm implementation
* Revert "Onnx unsupported operation handling"
* instance norm layer test
* onnx instancenorm layer
6 years ago
d7744aca02
dnn: use OpenVINO 2019R2 defines
6 years ago
6dfe2ddc21
Merge pull request #14959 from dvd42:onnx_clip
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* onnx clip operation
6 years ago
206b546e5a
tensroflow support maxpoolgrad
6 years ago
65552bf403
dnn: fix build with Vulkan
6 years ago
a743de0e24
dnn: adjust compilation options
6 years ago
031e57b359
Fixed names conflict with dldt
6 years ago
96a2f80bf2
Limit number of threads in CPU plugin of IE by OpenCV's getNumThreads
6 years ago
24790e4061
Merge pull request #14899 from alalek:dnn_fix_bnll_layer
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* dnn: fix BNLLLayer implementation
details: https://github.com/BVLC/caffe/blame/1.0/src/caffe/layers/bnll_layer.cpp#L17
* dnn: enable OCV/OpenCL BNLL layer
6 years ago
333e51b217
dnn: configure plugin path for InferenceEngine
6 years ago
f3e9eb3371
dnn: both protobuf readers have similar behavior
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- ReadProtoFromTextFile
- ReadProtoFromTextBuffer
6 years ago
5620306c70
Merge pull request #14845 from vonchenplus:ocv_mirrorpad
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* tensorflow support mirror pad
* revert macro define
* revert macro define
* reduce code duplication
* revert macro define
6 years ago
16294437d5
Merge pull request #14833 from l-bat:ocv_eltwise3d
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* Support Eltwise3d
* Refactoring
* Fix test
6 years ago
Lubov Batanina
Dimitri Gerin
Dmitry Kurtaev
Yashas Samaga B L
Alexander Alekhin
Andrew Ryrie
luz.paz
Diego
gal0is
Nuzhny007
Alexander Alekhin
Feng Chen