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
Dmitry Kurtaev
b927ce18b2
Support for MobileNetV3-SSD from TensorFlow
5 years ago
Dmitry Kurtaev
9e332dc5fb
Broadcasting from ONNX
5 years ago
Liubov Batanina
9ed1332355
Merge pull request #16722 from l-bat:reshape_opset_11
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* Supported Div op for constants
* Added Mul test
5 years ago
ashishiva3@gmail.com
e18d5e94c7
Gather-Cast, Mul-Cast fusion
5 years ago
Alexander Alekhin
124bf8339f
dnn(IE): use HAVE_DNN_IE_NN_BUILDER_2019 for NN Builder API code
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- CMake option: OPENCV_DNN_IE_NN_BUILDER_2019
5 years ago
Alexander Alekhin
29d214474f
dnn(IE): use HAVE_DNN_IE_NN_BUILDER_2019 for NN Builder API code
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- CMake option: OPENCV_DNN_IE_NN_BUILDER_2019
5 years ago
Liubov Batanina
b1b78aedd2
Skipped ResizeUnfused test on Builder API
5 years ago
ashishiva3@gmail.com
8559237d4e
ONNX: upsample subgraph fusion added
5 years ago
YashasSamaga
98b5fb4b9f
disable MaskRCNN test for CUDA_FP16
5 years ago
Alexander Alekhin
cc0066d38d
dnn(test): adjust check tolerance in Keypoints_face
5 years ago
Dmitry Kurtaev
d8dea7896b
Merge pull request #16628 from dkurt:dnn_ngraph_custom_layers
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* Custom layers with nGraph
* nGraph: multiple outputs from nodes
5 years ago
Alexander Alekhin
c2f5f5a202
dnn(test): configure filtering for 32-bit systems (part 2)
5 years ago
Alexander Alekhin
d54d01ca46
core(MatExpr): fix .type() bug
5 years ago
Alexander Alekhin
1540ae340f
dnn(test): configure filtering for 32-bit systems
5 years ago
Alexander Alekhin
01048e5603
Merge pull request #16616 from alalek:dnn_fix_input_shape
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* dnn: fix processing of input shapes
- importer: avoid using of .setInput() => .setInputShape()
- setInput: shape limitation check (partial)
* dnn(test): test .setInput() in readNet()
5 years ago
berak
4fdf4d380c
dnn: small fix in pose estimation model
5 years ago
Dmitry Kurtaev
f3eef792eb
Enable Mask R-CNN with Inference Engine. Full coverage with nGraph
5 years ago
Alexander Alekhin
1602a38fa9
Merge pull request #16572 from alalek:dnn_test_dldt_ir_v10
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* dnn(test): test DLDT IRv10 model, drop old models
* dnn(test): don't expect bitexact results in DLDT IR tests
5 years ago
Liubov Batanina
e970eccbf1
Merge pull request #16472 from l-bat:cp_vton
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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
5 years ago
Gagandeep Singh
a6f3a21256
Merge pull request #16424 from czgdp1807:issue-16370
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* fixed Split layer in ONNXImporter
* added test for fix of split layer
* fixed tests for Split layer
* applied reviews
* updated tests
* fixed paths in tests
5 years ago
ashishiva3@gmail.com
cd53144ed3
commit: Corrected end tensor_content parsing for StridedSlice layer.
5 years ago
Alexander Alekhin
8ecfb59930
dnn(test): skip failed ngraph tests
5 years ago
ashishiva3@gmail.com
d64529f6de
Added parsing for Connected and Dropout. Modified maxpool padding
5 years ago
Dmitry Kurtaev
005f38fb45
Fix dnn::ResizeLayer to manage varying input shapes
5 years ago
Alexander Alekhin
b21a861c5b
dnn(test): adjust test tolerance for MYRIAD
5 years ago
ashishiva3@gmail.com
f29bc22005
Convolutional padding parsing modified
5 years ago
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
5 years ago
YashasSamaga
fd369a5004
fix and optimize ROIPooling
5 years ago
Dmitry Kurtaev
c1c84d2fd1
ONNX graphs simplifier
5 years ago