danielenricocahall
8457e471fd
add relu as activation option in darknet
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add relu option
add relu as activation option in darknet
simplify the setParams if-else ladder
add relu as activation option in darknet
correct activation_param type
format
format
add relu as activation option in darknet
spacing
spacing
add relu as activation option in darknet
4 years ago
Liubov Batanina
d695208727
Merge pull request #17967 from l-bat:non_const_weights_for_conv
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* Supported convolution with non-const weights
* Fix opencl blobs
* Update tests
4 years ago
Dmitry Kurtaev
cf8f65d806
Do not use size_t for nGraph layers
4 years ago
YashasSamaga
ae293f27cf
add DetectionOutputOp
4 years ago
Liubov Batanina
a35d4f9029
Support Gather for variable inputs
4 years ago
Alexander Alekhin
971cc3354b
dnn(test): adjust tests for OpenVINO 2020.4 (4.x branch)
4 years ago
Alexander Alekhin
81e027eef7
dnn: fix OpenCL implementation of Slice layer
4 years ago
Alexander Alekhin
1c371d07b5
dnn(test): adjust tests for OpenVINO 2020.4
4 years ago
Alexander Alekhin
99c4b76a6d
dnn(test): add YOLOv4-tiny tests
4 years ago
Liubov Batanina
65dbbf712d
Merge pull request #17733 from l-bat:tiny_yolov4
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* Supported yolov4-tiny
* Added comments
4 years ago
Ilya Lavrenov
ad5e70f94e
Conditional compilation for network reader
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origibal commit: 63e92cccf2
5 years ago
Ilya Lavrenov
63e92cccf2
Conditional compilation for network reader
5 years ago
YashasSamaga
265acccd56
allow multiple inputs to resize, fix tests
5 years ago
Alexander Alekhin
79c5d07abe
dnn(test): file 'dnn/efficientdet-d0.pb' is optional
5 years ago
Dmitry Kurtaev
d9bada9867
dnn: EfficientDet
5 years ago
Alexander Alekhin
6b89154afd
dnn(test): add YOLOv4 tests
5 years ago
Liubov Batanina
ba3cf47600
Merge pull request #17386 from l-bat:tf_clamp_subgraph
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* Added ClipByValue subgraph
* Return const nodes
5 years ago
Liubov Batanina
d991c22090
Merge pull request #16575 from l-bat:flownet2
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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
5 years ago
Dmitry Kurtaev
b5035ce991
Increase test threshold for YOLOv3 on OCL FP16
5 years ago
Dmitry Kurtaev
b4a6aa335d
TensorFlow bilinear resize downscale
5 years ago
Dmitry Kurtaev
df305e83fa
Fix BatchNorm reinitialization after fusion
5 years ago
Liubov Batanina
b27ae9c63b
Switch v1::Multiply to v0::Multiply
5 years ago
Liubov Batanina
79f8b7fd73
Merge pull request #17233 from l-bat:onnx_bn
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* Added ONNX BatchNorm subgraph
* Move removing constant inputs to addConstantNodesForInitializers
* Added initializers to ONNXGraphWrapper
5 years ago
Dmitry Kurtaev
8b13b85c5e
dnn: Slice with variable input shapes
5 years ago
Liubov Batanina
a5696da9ec
Merge pull request #17185 from l-bat:yolo_v4
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* Support Yolov4
* Skip Mish on OpenVINO 2020.2
* Revert Mish
* Refactoring
5 years ago
Alexander Alekhin
b805115c1a
dnn(test): update skip tests on Win32 configuration
5 years ago
Dmitry Kurtaev
25ec4ce6f1
PReLU from Tensorflow
5 years ago
Liubov Batanina
4bf94cb5d1
Fix test
5 years ago
Alexander Alekhin
f756923271
dnn(ie): avoid conversion to legacy CNNNetworkImpl
5 years ago
Alexander Alekhin
83c4378d5d
dnn(test): skip failed NGRAPH/MYRIAD tests
5 years ago
Liubov Batanina
1c1762d3f6
Skip myriad
5 years ago
ashishiva3@gmail.com
e0ac0cfbe2
add fused batchNorm Upsample
5 years ago
Liubov Batanina
aa08900ac8
Supported TF concat 3d
5 years ago
AshihsKrShrivastava
d37180a2c4
modification for upsample node fused from unfused Resize subgraph
5 years ago
Liubov Batanina
8badf7f354
Merge pull request #17112 from l-bat:ie_region
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* Support nGraph Region
* Support region since OpenVINO 2020.2
* Skip myriad
5 years ago
Dmitry Kurtaev
908bf935f7
Flexible inputs for OpenVINO IR models
5 years ago
Dmitry Kurtaev
d3f9ad1145
Enable ONNX SSD from https://github.com/amdegroot/ssd.pytorch
5 years ago
AshihsKrShrivastava
bef6b6282c
ReflecitonPad2d and ZeroPad2d Subgraph fusion added
5 years ago
Liubov Batanina
734771418e
Merge pull request #16840 from l-bat:matmul_inputs
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* Supported FullyConnected layer with two inputs
* Skipped test
* Fix conditions
* Added OpenCL support
* Supported ReduceMean3D
* Supported Expand layer
* Fix warning
* Added Normalize subgraph
* refactoring
* Used addLayer
* Fix check
* Used addLayer
* Skip failed test
* Added normalize1 subgraph
* Fix comments
5 years ago
Dmitry Kurtaev
b36eba7fab
Support FusedResizeAndPadConv2D from TensorFlow
5 years ago
Dmitry Kurtaev
8574a757f9
Case sensitive dnn layers types
5 years ago
Dmitry Kurtaev
7e4b2057f2
Import TF2.0 network from Keras
5 years ago
Dmitry Kurtaev
467c3ef0ac
Add checks for LSTM initial h and c
5 years ago
YashasSamaga
2aeb32d2d1
fix segfaults, support bias in untrainable mode, support batches in untrainable mode
5 years ago
Dmitry Kurtaev
8433620295
Bidirectional LSTM
5 years ago
Dmitry Kurtaev
8d69dbdf49
LSTM from ONNX works
5 years ago
Dmitry Kurtaev
14da5ec311
LSTM scalar
5 years ago
Liubov Batanina
718d7e4b04
Merge pull request #16715 from l-bat:slice_onnx
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* Support Slice layer with multiple inputs
* Add test
* Supported Resize from PyTorch
* Rewrite test
* Remove Cast layer (supported in #16735 )
* Support ConstantOfShape
* Fix tests
* Fix coments
* Remove useless condition
* Fixed failed tests
5 years ago
Liubov Batanina
2645ee90ca
Merge pull request #16735 from l-bat:flatten_const_onnx
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* Supported Flatten for constant nodes
* Added default axis
* Refactoring
* Refactoring
* Added cast layer
* Fix comments
* Add Cast for layers
5 years ago
Yashas Samaga B L
490908f0ff
Merge pull request #16436 from YashasSamaga:feature-enetb0-yolo
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dnn(darknet-importer): add grouped convolutions, sigmoid, swish, scale_channels
* update darknet importer to support enetb0-yolo
* remove dropout (pr16438) and fix formatting
* add test for scale_channels
* disable batch testing for scale channels
* do not set LayerParams::name
* merge all activations into setActivation
5 years ago