Dmitry Kurtaev
e8e9d1d021
Implement Interp layer using Resize layer
7 years ago
Dmitry Kurtaev
4626246087
Add ShuffleChannel layer
7 years ago
Dmitry Kurtaev
40b85c1cd9
Remove undocumented feature to retreive layers outputs by indices
7 years ago
Dmitry Kurtaev
bd87eb6e66
Import average pooling and softmax layers from Darknet
7 years ago
Dmitry Kurtaev
693a7663e7
Import ClipByValue from Keras
7 years ago
Dmitry Kurtaev
2c291bc2fb
Enable FastNeuralStyle and OpenFace networks with IE backend
7 years ago
Dmitry Kurtaev
40765c5f8d
Enable SSD models from TensorFlow with OpenCL plugin of Intel's Inference Engine
7 years ago
rockzhan
1187a7fa34
Merge pull request #11649 from rockzhan:dnn_dw_prelu
...
dnn: Fix output mismatch when forward dnn model contain [depthwise conv(group=1) + bn + prelu] (#11649 )
* this can make sure [depthwise conv(group=1) + bn + prelu] output not shift
* add TEST to show the output mismatch in [DWconv+Prelu]
* fix typo
* change loading image to init cvMat directly
* build runtime model, without loading external model
* remove whitespace
* change way to create a cvmat
* add bias_term, add target output
* fix [dwconv + prelu] value mismatch when no optimizations
* fix Test error when change output channels
* add parametric test
* change num_output to group value
* change conv code and change test back
7 years ago
David
7175f257b5
Added ResizeBilinear op for tf ( #11050 )
...
* Added ResizeBilinear op for tf
Combined ResizeNearestNeighbor and ResizeBilinear layers into Resize (with an interpolation param).
Minor changes to tf_importer and resize layer to save some code lines
Minor changes in init.cpp
Minor changes in tf_importer.cpp
* Replaced implementation of a custom ResizeBilinear layer to all layers
* Use Mat::ptr. Replace interpolation flags
7 years ago
Dmitry Kurtaev
f3a6ae5f00
Wrap Inference Engine init to try-catch
7 years ago
Alexander Alekhin
6816495bee
dnn(test): reuse test/test_common.hpp, eliminate dead code warning
7 years ago
Dmitry Kurtaev
b781ac7346
Make Intel's Inference Engine backend is default if no preferable backend is specified.
7 years ago
Alexander Alekhin
04802e41e9
gtest: support parameters with types from anonymous namespace
7 years ago
Kuang Fangjun
9ae28415ec
fix doc.
7 years ago
Dmitry Kurtaev
ab389142af
Fix multiple networks with Intel's Inference Engine backend
7 years ago
Alexander Alekhin
f185802489
documentation: avoid links to 'master' branch from 3.4 maintenance branch (2)
...
Other links:
- https://raw.githubusercontent.com/opencv/opencv/master
- https://github.com/opencv/opencv/blob/master
7 years ago
Dmitry Kurtaev
32bab45f81
Fix Inference Engine graphs with fused output layers
7 years ago
Dmitry Kurtaev
f96f934426
Update Intel's Inference Engine deep learning backend ( #11587 )
...
* Update Intel's Inference Engine deep learning backend
* Remove cpu_extension dependency
* Update Darknet accuracy tests
7 years ago
Dmitry Kurtaev
bf87a43185
Faster-RCNN object detection models from TensorFlow
7 years ago
Tomoaki Teshima
2e9e71ab9e
make ocl4dnn available to run on other platform than Intel GPU
7 years ago
Dmitry Kurtaev
085be6a445
Fix dilated convolution from Keras
7 years ago
Alexander Alekhin
471c17321f
improve code quality
...
- eliminate rand() calls
- non initialized members/ variables
- unused return values
- missing/useless NULL checks
7 years ago
Alexander Alekhin
58c8aefe03
dnn(text): update check threshols
...
- make green Linux debug/Linux32/Win32 builders
7 years ago
Li Peng
1b517a45ae
add fp16 accuracy and perf test
...
Signed-off-by: Li Peng <peng.li@intel.com>
7 years ago
Alexander Alekhin
78f205ffa5
python: better Python 3 support
7 years ago
Dmitry Kurtaev
8488f2e265
EAST: An Efficient and Accurate Scene Text Detector ( https://arxiv.org/abs/1704.03155v2 )
7 years ago
cclauss
8a79b167b8
Define execfile, file, long, raw_input, xrange for Python 3
7 years ago
Dmitry Kurtaev
4ec456f0a0
Custom layers for deep learning networks ( #11129 )
...
* Custom deep learning layers support
* Stack custom deep learning layers
7 years ago
Dmitry Kurtaev
d959d7b9f0
Fuse deconvolution layer subgraphs from Keras
7 years ago
Dmitry Kurtaev
bd77d100e1
Enable some tests for clDNN plugin from Intel's Inference Engine
7 years ago
Dmitry Kurtaev
3b4a292ca9
Let switch CPU/OpenCL targets for models from Intel's Model Optimizer
7 years ago
Dmitry Kurtaev
97fec07d96
Support YOLOv3 model from Darknet
7 years ago
Alexander Alekhin
ee90a6cbde
dnn(test): update error tolerance for RCNN/RFCN tests
7 years ago
Dmitry Kurtaev
4ef6c91583
Fix multiple inputs for models from Intel's Model Optimizer
7 years ago
Dmitry Kurtaev
1ba72ca0d3
Fuse tf.nn.l2_normalize layer
7 years ago
Dmitry Kurtaev
709cf5d038
OpenCL GPU target for Inference Engine deep learning backend
...
Enable FP16 GPU target for DL Inference Engine backend.
7 years ago
Dmitry Kurtaev
ef1aaf12c9
Fix Proposal deep learning layer
7 years ago
Dmitry Kurtaev
818a91f4f7
Update Torch testdata
7 years ago
Dmitry Kurtaev
598039c0ed
Fix embedded Torch's nn.ConcatTable
7 years ago
Dmitry Kurtaev
e039fc3a63
Replace protobuf's ReleaseLast to RemoveLast to deallocate memory.
...
Change an order of PriorBox layer operations.
7 years ago
Dmitry Kurtaev
7972f47ed4
Load networks from intermediate representation of Intel's Deep learning deployment toolkit.
7 years ago
Dmitry Kurtaev
e8fe6ee4e3
Fix prior box generation in case of squared proposals.
...
Fix batch norm in training phase.
7 years ago
Dmitry Kurtaev
069f9add80
Fix an issue https://github.com/opencv/opencv/issues/11102
7 years ago
Dmitry Kurtaev
69a8f110b6
Fuse subgraphs from Keras
7 years ago
Dmitry Kurtaev
9457bf10ab
Fuse batch normalization and flatten TensorFlow subgraphs in runtime
7 years ago
Dmitry Kurtaev
0f01b40dd5
Reset OpenCL kernels if batch size changes
7 years ago
Dmitry Kurtaev
0a61ebdd66
Replace DNNTarget and DNNBackend in tests
7 years ago
Dmitry Kurtaev
e1c3237532
Parametric OpenCL deep learning tests
7 years ago
Dmitry Kurtaev
f2440ceae6
Update tutorials. A new cv::dnn::readNet function
7 years ago
Alexander Alekhin
a838a97092
dnn: fix precomp.hpp usage
7 years ago