Li Peng
145eae321e
pooling ocl kernel optimization
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set global size with real output size, also optimize
max pooling index computation if necessary.
Signed-off-by: Li Peng <peng.li@intel.com>
2018-06-29 15:22:49 +08:00
Vadim Pisarevsky
5dc0e51682
Merge pull request #11839 from dkurt:dnn_ie_r2
2018-06-27 09:56:02 +00:00
Dmitry Kurtaev
dbeb4a11be
Parse strides and convolution kernel shapes considering data layout
2018-06-26 16:18:21 +03:00
Dmitry Kurtaev
b11e22c25b
Update Inference Engine tests
2018-06-26 15:38:08 +03:00
Vadim Pisarevsky
e87425f047
Merge pull request #11835 from dkurt:dnn_tf_two_inputs
2018-06-26 12:12:24 +00:00
Dmitry Kurtaev
9510551c63
Multiple inputs for TensorFlow models
2018-06-26 14:03:59 +03:00
Vadim Pisarevsky
b80c7bca0d
Merge pull request #11826 from dkurt:dnn_tf_data_layouts
2018-06-26 06:36:27 +00:00
Vadim Pisarevsky
dc27d52221
temporarily disabled OpenCL use in DNN module on Mac ( #11828 )
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* temporarily disabled OpenCL use in DNN module on Mac, since some of the tests fail
* disable OpenCL in DNN on Mac at CMake level, not source level (thanks to alalek for the advice)
2018-06-26 09:35:18 +03:00
Dmitry Kurtaev
715f40a48d
Use layers consumers to predict data layout
2018-06-25 18:25:40 +03:00
Li, Peng
ab8022f74e
update convolution opencl kernels in dnn module ( #11762 )
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* optimize ocl kernel enqueue in fc layer
Signed-off-by: Li Peng <peng.li@intel.com>
* use CV_LOG_INFO in convolution auto tuning
Signed-off-by: Li Peng <peng.li@intel.com>
* update convolution IDLF kernel
extend parameter tuning range, also cleanup
ocl kernel implementation
Signed-off-by: Li Peng <peng.li@intel.com>
* update in-memory convolution cache config
fp16 and fp32 cache config are stored separately
Signed-off-by: Li Peng <peng.li@intel.com>
2018-06-25 17:06:18 +03:00
Dmitry Kurtaev
e8e9d1d021
Implement Interp layer using Resize layer
2018-06-22 19:26:47 +03:00
Alexander Alekhin
1894f1a37f
Merge pull request #11773 from alalek:dnn_ocl_update_force_tuning_flag
2018-06-22 05:23:55 +00:00
Alexander Alekhin
50c607d206
dnn(ocl): fix external / predefined builtin configuration behavior
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OPENCV_OCL4DNN_FORCE_AUTO_TUNING should ignore existed configuration from:
- builtin predefined configurations (for Intel OpenCL iGPUs)
- external configuration (via OPENCV_OCL4DNN_CONFIG_PATH)
Prefer external configuration over builtin.
2018-06-21 20:59:03 +03:00
Dmitry Kurtaev
4626246087
Add ShuffleChannel layer
2018-06-21 19:10:42 +03:00
Dmitry Kurtaev
40b85c1cd9
Remove undocumented feature to retreive layers outputs by indices
2018-06-20 14:44:21 +03:00
Alexander Alekhin
30d4e0261a
Merge pull request #11766 from dkurt:dnn_darknet_avgpool_softmax
2018-06-14 13:18:30 +00:00
Dmitry Kurtaev
bd87eb6e66
Import average pooling and softmax layers from Darknet
2018-06-14 15:22:08 +03:00
Dmitry Kurtaev
693a7663e7
Import ClipByValue from Keras
2018-06-14 13:30:30 +03:00
Alexander Alekhin
5fd7cfbcad
dnn: add runtime parameter OPENCV_DNN_BACKEND_DEFAULT
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to control DNN_BACKEND_DEFAULT enumeration value behavior
2018-06-13 19:00:04 +03:00
Alexander Alekhin
f040282bf8
Merge pull request #11739 from dkurt:more_ie_models
2018-06-13 13:26:50 +00:00
Dmitry Kurtaev
7d727ac2fb
Fuse top layers to batch normalization
2018-06-09 18:06:53 +03:00
Dmitry Kurtaev
2c291bc2fb
Enable FastNeuralStyle and OpenFace networks with IE backend
2018-06-09 15:57:12 +03:00
Dmitry Kurtaev
40765c5f8d
Enable SSD models from TensorFlow with OpenCL plugin of Intel's Inference Engine
2018-06-08 16:55:21 +03:00
rockzhan
1187a7fa34
Merge pull request #11649 from rockzhan:dnn_dw_prelu
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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
2018-06-07 13:45:54 +00:00
David
7175f257b5
Added ResizeBilinear op for tf ( #11050 )
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* 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
2018-06-07 16:29:04 +03:00
Dmitry Kurtaev
f3a6ae5f00
Wrap Inference Engine init to try-catch
2018-06-07 12:55:52 +03:00
Vadim Pisarevsky
3cbd2e2764
Merge pull request #11650 from dkurt:dnn_default_backend
2018-06-06 09:30:39 +00:00
Alexander Alekhin
6816495bee
dnn(test): reuse test/test_common.hpp, eliminate dead code warning
2018-06-05 12:52:53 +03:00
Dmitry Kurtaev
b781ac7346
Make Intel's Inference Engine backend is default if no preferable backend is specified.
2018-06-04 18:31:46 +03:00
Alexander Alekhin
04802e41e9
gtest: support parameters with types from anonymous namespace
2018-06-04 13:30:24 +03:00
Vadim Pisarevsky
3030594665
Merge pull request #11644 from alalek:docs_avoid_master_links_in_3.4-2
2018-06-04 10:19:44 +00:00
Vadim Pisarevsky
055f33ec46
Merge pull request #11657 from dkurt:dnn_ie_multiple_networks
2018-06-04 10:12:46 +00:00
Kuang Fangjun
9ae28415ec
fix doc.
2018-06-03 17:44:24 +08:00
Dmitry Kurtaev
ab389142af
Fix multiple networks with Intel's Inference Engine backend
2018-06-01 14:10:32 +03:00
Alexander Alekhin
da75e463a8
Merge pull request #11639 from alalek:fix_precomp_hpp
2018-05-31 16:35:21 +00:00
Alexander Alekhin
f185802489
documentation: avoid links to 'master' branch from 3.4 maintenance branch (2)
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Other links:
- https://raw.githubusercontent.com/opencv/opencv/master
- https://github.com/opencv/opencv/blob/master
2018-05-31 19:30:56 +03:00
Alexander Alekhin
799b4f48e7
fix missing precomp.hpp
2018-05-31 16:53:44 +03:00
Dmitry Kurtaev
32bab45f81
Fix Inference Engine graphs with fused output layers
2018-05-31 16:21:08 +03:00
Vadim Pisarevsky
c58cc4c2ff
Merge pull request #11255 from dkurt:dnn_tf_faster_rcnn
2018-05-31 11:07:39 +00:00
Dmitry Kurtaev
f96f934426
Update Intel's Inference Engine deep learning backend ( #11587 )
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* Update Intel's Inference Engine deep learning backend
* Remove cpu_extension dependency
* Update Darknet accuracy tests
2018-05-31 14:05:21 +03:00
Dmitry Kurtaev
bf87a43185
Faster-RCNN object detection models from TensorFlow
2018-05-30 17:12:36 +03:00
Alexander Alekhin
44572fac44
Merge pull request #11557 from tomoaki0705:relaxIntelOnlyOCL4DNN
2018-05-29 15:25:22 +00:00
Tomoaki Teshima
2e9e71ab9e
make ocl4dnn available to run on other platform than Intel GPU
2018-05-29 19:18:10 +09:00
Dmitry Kurtaev
085be6a445
Fix dilated convolution from Keras
2018-05-29 12:15:47 +03:00
Dmitry Kurtaev
2c3c59d018
Remove Shift deep learning layer
2018-05-28 18:18:56 +03:00
Alexander Alekhin
3654fb10d7
Merge pull request #11567 from alalek:code_quality
2018-05-23 15:47:11 +00:00
Maksim Shabunin
895e10c317
dnn: fixed IE support on Windows
2018-05-23 12:46:14 +03:00
Alexander Alekhin
2fc713bb94
Merge pull request #11566 from mshabunin:allow-ie-force
2018-05-22 14:12:32 +00:00
Alexander Alekhin
471c17321f
improve code quality
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- eliminate rand() calls
- non initialized members/ variables
- unused return values
- missing/useless NULL checks
2018-05-22 17:08:31 +03:00
Maksim Shabunin
53a68783a5
dnn: support later IE versions
2018-05-22 15:18:18 +03:00