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
Maksim Shabunin
020ad1ac76
dnn: allow setting IE paths via command line
2018-05-22 14:40:03 +03:00
Alexander Alekhin
58c8aefe03
dnn(text): update check threshols
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- make green Linux debug/Linux32/Win32 builders
2018-05-22 13:29:31 +03:00
Alexander Alekhin
085b27fc3d
Merge pull request #11390 from dkurt:east_text_detection
2018-05-21 13:02:29 +00:00
Dmitry Kurtaev
07dc6d2b45
Return a convex hull from rotatedRectangleIntersection
2018-05-18 14:20:17 +03:00
Alexander Alekhin
d6279bfff8
fix build warnings
2018-05-17 18:29:21 +03:00
Li Peng
1b517a45ae
add fp16 accuracy and perf test
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Signed-off-by: Li Peng <peng.li@intel.com>
2018-05-16 22:45:07 +08:00
Li Peng
ba5e8befa9
fp16 ocl support for more layers
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Signed-off-by: Li Peng <peng.li@intel.com>
2018-05-16 22:45:04 +08:00
Li Peng
3dd916882a
fp16 ocl support for googlenet
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Signed-off-by: Li Peng <peng.li@intel.com>
2018-05-16 22:45:02 +08:00
Li Peng
329abb5b64
dnn fp16 support
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Signed-off-by: Li Peng <peng.li@intel.com>
2018-05-16 22:44:39 +08:00
Alexander Alekhin
bb8ff2c463
Merge pull request #11494 from tomoaki0705:fixOpenCLDnn
2018-05-16 14:11:36 +00:00
Tomoaki Teshima
3f5347dd7a
work around of the test failure of opencv_test_dnn
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* let OpenCL kernel run only on Intel GPU
* brush up the workaround based on 9a2b028 from alalek
2018-05-16 19:23:19 +09:00
Alexander Alekhin
78f205ffa5
python: better Python 3 support
2018-05-11 17:32:04 +03:00
Alexander Alekhin
df02fe0615
Merge pull request #11445 from cclauss:file-long-raw_input-xrange
2018-05-11 13:28:53 +00:00
Alexander Alekhin
8356a6b6ab
Merge pull request #11442 from cclauss:print-function
2018-05-11 13:26:04 +00:00
Dmitry Kurtaev
8488f2e265
EAST: An Efficient and Accurate Scene Text Detector ( https://arxiv.org/abs/1704.03155v2 )
2018-05-11 14:55:42 +03:00
Dmitry Kurtaev
c99c3e761e
Fuse multipliers but not convolution layers weights
2018-05-10 19:24:38 +03:00
Dmitry Kurtaev
777d77848c
Free Convolution and MatMul weights after TensorFlow layers import
2018-05-04 11:20:14 +03:00
Dmitry Kurtaev
9ffe4694db
Reduce memory consumption at Caffe importer
2018-05-04 09:24:13 +03:00
zuoshaobo
4ff6a1bc7b
Merge pull request #11425 from zuoshaobo:relu_negative_slope
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* FIX INF_ENGINE RELU ERROR
* set slope to variable
* tab in indentwq
2018-05-03 13:36:49 +03:00
cclauss
8a79b167b8
Define execfile, file, long, raw_input, xrange for Python 3
2018-05-03 09:19:05 +02:00
cclauss
05c1a3d160
print() is a function in Python 3
2018-05-03 07:12:12 +02:00
Alexander Alekhin
083b08742d
Merge pull request #11406 from alalek:core_matsize_dims
2018-04-28 14:38:42 +00:00
Alexander Alekhin
65b0b319eb
eliminate MSVS2017 build warning
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modules\dnn\src\layers\prior_box_layer.cpp(208): warning C4834: discarding return value of function with 'nodiscard' attribute
2018-04-28 15:14:41 +03:00
Alexander Alekhin
8c349ff8ff
core: added MatSize::dims() method
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to avoid accessing of 'p[-1]' (static code analysers dislike this)
2018-04-27 16:57:29 +03:00
Dmitry Kurtaev
d5b9563263
Custom deep learning layers in Python
2018-04-26 09:25:18 +03:00
Alexander Alekhin
6b581c4e51
build: unreachable code after CV_Error() (part 2)
2018-04-24 16:03:40 +03:00
Alexander Alekhin
576d2dbac0
refactor: don't use CV_ErrorNoReturn() internally
2018-04-24 15:38:42 +03:00
Dmitry Kurtaev
4ec456f0a0
Custom layers for deep learning networks ( #11129 )
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* Custom deep learning layers support
* Stack custom deep learning layers
2018-04-24 14:59:59 +03:00
Alexander Alekhin
29b4fd2774
Merge pull request #11351 from dkurt:dnn_enable_inf_engine_tests
2018-04-23 09:16:39 +00:00
Dmitry Kurtaev
d959d7b9f0
Fuse deconvolution layer subgraphs from Keras
2018-04-20 16:51:38 +03:00
Dmitry Kurtaev
bd77d100e1
Enable some tests for clDNN plugin from Intel's Inference Engine
2018-04-20 10:47:46 +03:00
Dmitry Kurtaev
3b4a292ca9
Let switch CPU/OpenCL targets for models from Intel's Model Optimizer
2018-04-19 10:23:57 +03:00
Vadim Pisarevsky
b290bdafb9
Merge pull request #11322 from dkurt:dnn_yolov3
2018-04-18 12:11:13 +00:00
Dmitry Kurtaev
66ce8cd7ea
Fix bugs found by valgrind
2018-04-17 17:53:51 +03:00
Dmitry Kurtaev
97fec07d96
Support YOLOv3 model from Darknet
2018-04-16 18:44:12 +03:00
Alexander Alekhin
ee90a6cbde
dnn(test): update error tolerance for RCNN/RFCN tests
2018-04-16 14:24:41 +03:00
Alexander Alekhin
a2d6ee2d31
Merge pull request #11305 from tomoaki0705:typoNVIDIA
2018-04-13 12:56:42 +00:00
Tomoaki Teshima
a40354d16f
use correct name for NVIDIA
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* remove NVidia and Nvidia
* replace Cuda with CUDA
* keep the letters for API
2018-04-13 20:33:19 +09:00
Dmitry Kurtaev
b92c3182ab
Blank and L2-normalization layers from Intel's Inference Engine
2018-04-12 15:21:08 +03:00
Vadim Pisarevsky
0b9d075958
Merge pull request #11295 from dkurt:dnn_repeated_conv_params
2018-04-11 15:25:24 +00:00
Vadim Pisarevsky
533bb89800
Merge pull request #11236 from dkurt:dnn_fuse_l2_norm
2018-04-11 15:09:55 +00:00
Vadim Pisarevsky
30175594e9
Merge pull request #11062 from dkurt:dnn_inf_engine_cldnn
2018-04-11 15:06:18 +00:00
Dmitry Kurtaev
512632e574
Parse repeated values of ConvolutionParameter
2018-04-11 14:38:05 +03:00
Dmitry Kurtaev
4ef6c91583
Fix multiple inputs for models from Intel's Model Optimizer
2018-04-11 13:28:07 +03:00
Dmitry Kurtaev
1ba72ca0d3
Fuse tf.nn.l2_normalize layer
2018-04-10 10:12:44 +03:00
Dmitry Kurtaev
709cf5d038
OpenCL GPU target for Inference Engine deep learning backend
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Enable FP16 GPU target for DL Inference Engine backend.
2018-04-09 17:21:35 +03:00
Vladislav Sovrasov
0d9c63744e
Add CPU default extensions loading in IE dnn backend ( #11252 )
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* Add CPU default extensions loading in IE dnn backend
* Load cpu_extensions for the future Intel's Inference Engine
2018-04-09 16:22:19 +03:00
Dmitry Kurtaev
ef1aaf12c9
Fix Proposal deep learning layer
2018-04-04 14:48:29 +03:00
Alexander Alekhin
7bc980edaf
Merge pull request #10983 from dkurt:dnn_face_detection_uint8
2018-04-03 18:19:43 +00:00
Alexander Alekhin
f95e91e2bc
Merge pull request #11199 from dkurt:update_torch_testdata
2018-04-03 18:02:58 +00:00
Dmitry Kurtaev
8d8f3bca6f
Update links to OpenCV's face detection network
2018-04-02 13:02:56 +03:00
Dmitry Kurtaev
818a91f4f7
Update Torch testdata
2018-03-31 12:04:44 +03:00
Dmitry Kurtaev
598039c0ed
Fix embedded Torch's nn.ConcatTable
2018-03-31 11:11:10 +03:00
Alexander Alekhin
e8a67de0d2
Merge pull request #11182 from dkurt:fix_11102_part_2
2018-03-30 13:11:01 +00:00
Alexander Alekhin
6c8014e7d1
cmake: disable checks for protobuf generated files
2018-03-28 18:43:28 +03:00
Alexander Alekhin
1060c0f439
dnn: apply CV_OVERRIDE/CV_FINAL
2018-03-28 18:43:27 +03:00
Alexander Alekhin
167034fb04
Merge pull request #11098 from dkurt:dnn_native_inf_engine
2018-03-28 14:52:08 +00:00
Dmitry Kurtaev
e039fc3a63
Replace protobuf's ReleaseLast to RemoveLast to deallocate memory.
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Change an order of PriorBox layer operations.
2018-03-28 17:27:36 +03:00
Dmitry Kurtaev
2f3a9ba1d4
Update OpenCVDetectInferenceEngine.cmake
2018-03-28 16:34:37 +03:00
Alexander Alekhin
9e0dee1259
Merge pull request #11112 from alalek:cmake_src_include_fix
2018-03-27 13:06:48 +00:00
Dmitry Kurtaev
7972f47ed4
Load networks from intermediate representation of Intel's Deep learning deployment toolkit.
2018-03-26 07:24:21 +03:00
Dmitry Kurtaev
e8fe6ee4e3
Fix prior box generation in case of squared proposals.
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Fix batch norm in training phase.
2018-03-23 09:44:59 +03:00
Alexander Alekhin
6c051a55e5
cmake: don't add include <module>/src directory to avoid conflicts
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during opencv_world builds
2018-03-19 11:14:15 +03:00
Dmitry Kurtaev
069f9add80
Fix an issue https://github.com/opencv/opencv/issues/11102
2018-03-18 10:49:12 +03:00
Alexander Alekhin
d68466bb6a
Merge pull request #10940 from dkurt:dnn_tf_graph_optim
2018-03-14 14:36:25 +00:00
Alexander Alekhin
ab110c0ad1
Merge pull request #10979 from dkurt:unite_dnn_samples
2018-03-14 14:33:49 +00:00
Dmitry Kurtaev
538fd42363
Add test for Scalar arguments at CommandLineParser
2018-03-13 11:01:07 +03:00
Dmitry Kurtaev
ab20d2a3fc
Update assertions in batch norm layer
2018-03-12 10:53:06 +03:00
Dmitry Kurtaev
69a8f110b6
Fuse subgraphs from Keras
2018-03-12 10:53:06 +03:00
Dmitry Kurtaev
9457bf10ab
Fuse batch normalization and flatten TensorFlow subgraphs in runtime
2018-03-12 10:51:35 +03:00
Alexander Alekhin
5b868ccd82
Merge pull request #10992 from dkurt:dnn_opencl_tests
2018-03-09 10:06:40 +00:00
Dmitry Kurtaev
0f01b40dd5
Reset OpenCL kernels if batch size changes
2018-03-07 17:06:59 +03:00
Alexander Alekhin
514f4193db
Merge pull request #10959 from alalek:cmake_ocl4dnn
2018-03-07 10:26:14 +00:00
Dmitry Kurtaev
0a61ebdd66
Replace DNNTarget and DNNBackend in tests
2018-03-07 12:59:38 +03:00
Dmitry Kurtaev
e1c3237532
Parametric OpenCL deep learning tests
2018-03-05 20:53:18 +03:00
Dmitry Kurtaev
f2440ceae6
Update tutorials. A new cv::dnn::readNet function
2018-03-04 20:30:22 +03:00
Dmitry Kurtaev
e8d94ea87c
Unite deep learning object detection samples
2018-03-03 14:47:13 +03:00
Alexander Alekhin
fe97dc67dc
Merge pull request #10962 from alalek:dnn_precomp_hpp
2018-03-02 11:38:16 +00:00
Alexander Alekhin
97c1f09961
Merge pull request #10955 from pengli:dnn
2018-03-02 11:35:59 +00:00
Alexander Alekhin
a9ebc61f2a
dnn(workaround): switch to CPU target if compiled without OpenCL
2018-03-01 12:12:40 +03:00
Alexander Alekhin
1b83bc48a1
dnn: make OpenCL DNN code optional
2018-03-01 12:12:40 +03:00
Alexander Alekhin
a838a97092
dnn: fix precomp.hpp usage
2018-02-28 17:06:26 +03:00
Wu Zhiwen
ef937dd676
ocl4dnn: Fix SAME padding mode for convolve
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Signed-off-by: Wu, Zhiwen <zhiwen.wu@intel.com>
Signed-off-by: Li Peng <peng.li@intel.com>
2018-02-28 21:02:41 +08:00
Maksim Shabunin
7c855aa3e1
Fixed two issues found by static analysis
2018-02-26 00:16:02 +03:00
Alexander Alekhin
4a74408eee
experimental version++
2018-02-23 11:38:33 +03:00
Li Peng
608968aa83
Deconvolution ocl fix
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Signed-off-by: Li Peng <peng.li@intel.com>
2018-02-23 18:31:30 +08:00
Li, Peng
5caf6244a3
Merge pull request #10922 from pengli:dnn
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* ave pooling ocl fix
support the padded area control in ave pooling
Signed-off-by: Li Peng <peng.li@intel.com>
* warning fix: ununitialized field
2018-02-22 21:01:12 +03:00
Maksim Shabunin
92e9d4ec3a
Fixed several issues detected by static analysis
2018-02-22 17:11:33 +03:00
Vadim Pisarevsky
5e0f95b948
Merge pull request #9708 from dkurt:tf_face_detector
2018-02-22 12:04:26 +00:00
Li Peng
e7d35d51fa
Fix for opencv face detector ocl test
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Signed-off-by: Li Peng <peng.li@intel.com>
2018-02-22 23:37:54 +08:00
Li Peng
c524f669c7
Fallback for "SAME" padMode in ocl convolution and pooling
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It fixes tensorflow ocl testcase of MobileNetSSD and Inception_v2_SSD
Signed-off-by: Li Peng <peng.li@intel.com>
2018-02-22 21:17:59 +08:00
Dmitry Kurtaev
eab556e1e0
OpenCV face detection network in TensorFlow
2018-02-21 19:58:24 +03:00
Alexander Alekhin
53305d4a7e
Merge pull request #10891 from pengli:dnn
2018-02-20 08:59:07 +00:00
Li Peng
2863f950d6
ReLU6 layer ocl support
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include relu6 ocl kernel and layer fusion support
Signed-off-by: Li Peng <peng.li@intel.com>
2018-02-20 15:11:09 +08:00
Dmitry Kurtaev
8b4871a28d
Use only absolute prior boxes explicit sizes. Remove scales attributes. ( #10874 )
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* Use only absolute prior boxes explicit sizes. Remove scales attributes.
* Simplified PriorBox layer forward pass
2018-02-19 17:25:18 +03:00
Dmitry Kurtaev
34ba32ff27
Fix DNN flatten test
2018-02-18 12:45:43 +03:00
Alexander Alekhin
0e4eed0ba1
Merge pull request #10867 from dkurt:dnn_fix_ave_pooling_area
2018-02-16 11:17:32 +00:00
Alexander Alekhin
c020a7bb67
build: portable integer types
2018-02-15 23:43:02 +03:00
Dmitry Kurtaev
f8d0d6365e
Add a flag to manage average pooling with padding
2018-02-14 16:56:31 +03:00
Alexander Alekhin
cff79609c8
Merge pull request #10854 from pengli:dnn
2018-02-14 12:49:53 +00:00
Vadim Pisarevsky
ef70b0baa4
Merge pull request #10865 from dkurt:dnn_inf_engine_getInputsInfo
2018-02-14 12:25:18 +00:00
Dmitry Kurtaev
a66b5e2c13
Add const getInputsInfo
2018-02-14 14:17:44 +03:00
Vadim Pisarevsky
6dfd7e3da2
Merge pull request #10850 from dkurt:dnn_tf_deconv_tests
2018-02-14 10:35:14 +00:00
Li Peng
80d1f2ddfa
re-enable tensor flow mobilenet ssd ocl test
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Signed-off-by: Li Peng <peng.li@intel.com>
2018-02-14 01:04:58 +08:00
Li Peng
5992c46606
add fallback case for ocl convolution
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The ocl convolution doesn't support tensorflow padMode well.
Add fallback check if we meet this situation, it could fix the
tensorflow MobileNet SSD failure.
Signed-off-by: Li Peng <peng.li@intel.com>
2018-02-14 00:04:38 +08:00
Li Peng
00d2f34888
ocl fix for detection_output and prior_box layer
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Signed-off-by: Li Peng <peng.li@intel.com>
2018-02-13 23:09:14 +08:00
Dmitry Kurtaev
514e6df460
Refactored deep learning layers fusion
2018-02-13 14:35:58 +03:00
Dmitry Kurtaev
a6baedd02c
Fix deconvolution layer. Add batch norm layer with mean-variance normalization from TensorFlow.
2018-02-13 11:00:27 +03:00
Alexander Alekhin
66f3c1ae79
Merge pull request #10843 from luzpaz:misc-modules-typos
2018-02-12 13:47:12 +00:00
Sui Libin
1ad814a191
fix faster_rcnn sample crashed at PoolingInvoker on Windows7(x64). ( #10724 )
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* fix faster_rcnn sample crashed at PoolingInvoker operator() of pooling_layer.
* find_odj onmouse bug about find matched point status.
* reverted AutoBuffer back to std::vector
2018-02-12 16:07:56 +03:00
luz.paz
5718d09e39
Misc. modules/ typos
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Found via `codespell`
2018-02-12 07:09:43 -05:00
Rémi Ratajczak
b67523550f
dnn : Added an imagesFromBlob method to the dnn module ( #10607 )
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* Added the imagesFromBlob method to the dnn module.
* Rewritten imagesFromBlob based on first dkurt comments
* Updated code with getPlane()
* Modify comment of imagesFromBlob() in dnn module
* modified comments, removed useless assertions & added OutputArrayOfArray
* replaced tabs with whitespaces & put vectorOfChannels instantiation outside the loop
* Changed pre-commit.sample to pre-commit in .git/hooks/
* Added a test for imagesFromBlob in test_misc.cpp (dnn)
* Changed nbOfImages, robustified test with cv::randu, modified assertion
2018-02-12 14:51:07 +03:00
Alexander Alekhin
5a791e6e06
cmake: update reporting of excluded dispatching files ( #10711 )
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* cmake: add ocv_get_smart_file_name() macro
* cmake: avoid adding files for unavailable dispatch modes
2018-02-12 14:48:20 +03:00
Dmitry Kurtaev
7fe97376c2
MobileNet-SSD from TensorFlow 1.3 and Inception-V2-SSD using Inference Engine backend
2018-02-09 13:45:45 +03:00
Vadim Pisarevsky
835acd3f31
Merge pull request #10799 from dkurt:dnn_inference_engine_face_detection
2018-02-07 13:42:08 +00:00
Dmitry Kurtaev
ed94136548
OpenCV face detection network using Inference Engine backend
2018-02-06 17:53:24 +03:00
Alexander Alekhin
c973aaabc5
Merge pull request #10787 from dkurt:dnn_tutorial_face_detection
2018-02-06 14:37:09 +00:00
Dmitry Kurtaev
8817907647
Test for FP16 version of OpenCV face detection network
2018-02-06 13:16:07 +03:00
Alexander Alekhin
398ebbac98
Merge pull request #10795 from pengli:dnn
2018-02-06 10:04:29 +00:00
Li Peng
c43498c6ad
check vector emptiness before access it
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Signed-off-by: Li Peng <peng.li@intel.com>
2018-02-06 22:59:51 +08:00
Li Peng
389fa5d38e
slice layer ocl update
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Signed-off-by: Li Peng <peng.li@intel.com>
2018-02-06 22:59:47 +08:00
Alexander Alekhin
2a1f46c42d
Merge pull request #9770 from alalek:refactor_test_files
2018-02-06 09:33:58 +00:00
Dmitry Kurtaev
10e1de74d2
Intel Inference Engine deep learning backend ( #10608 )
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* Intel Inference Engine deep learning backend.
* OpenFace network using Inference Engine backend
2018-02-06 11:57:35 +03:00
Alexander Alekhin
4a297a2443
ts: refactor OpenCV tests
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- removed tr1 usage (dropped in C++17)
- moved includes of vector/map/iostream/limits into ts.hpp
- require opencv_test + anonymous namespace (added compile check)
- fixed norm() usage (must be from cvtest::norm for checks) and other conflict functions
- added missing license headers
2018-02-03 19:39:47 +00:00
Alexander Alekhin
3d6659112f
cmake: fix includes processing
2018-02-02 21:52:54 +03:00
Maksim Shabunin
e56d6054aa
Do not build protobuf without dnn ( #10689 )
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* Do not build protobuf if dnn is disabled
* Added BUILD_LIST cmake option to the cache
* Moved protobuf to the top level
* Fixed static build
* Fixed world build
* fixup! Fixed world build
2018-02-01 16:30:23 +03:00
Vadim Pisarevsky
36222c9eed
Merge pull request #10730 from dkurt:dnn_faster_rcnn_rfcn_tests
2018-02-01 13:28:10 +00:00
Vadim Pisarevsky
713ec7be45
Merge pull request #10746 from dkurt:dnn_batch_norm_from_nvidia_caffe
2018-02-01 13:22:09 +00:00
Alexander Alekhin
42569cfd61
Merge pull request #10748 from dkurt:fix_dnn_slice_layer
2018-02-01 13:21:17 +00:00
Alexander Alekhin
9d25bd583f
Merge pull request #10754 from dkurt:dnn_ocl_gemv_min_globalsize
2018-02-01 12:39:27 +00:00
Dmitry Kurtaev
65a6674c6e
ocl4dnnGEMV in case of row_size < 4
2018-02-01 14:06:47 +03:00
Alexander Alekhin
9698b93d10
Merge pull request #10717 from pengli:dnn
2018-02-01 10:49:54 +00:00
Li Peng
6aec71d7ee
mvn layer ocl update
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it fuse ocl kernels to reduce kernel enqueue
Signed-off-by: Li Peng <peng.li@intel.com>
2018-02-01 17:48:12 +08:00
Li Peng
83b16ab7b7
fix extra spaces in build option
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Signed-off-by: Li Peng <peng.li@intel.com>
2018-02-01 17:46:11 +08:00
Li Peng
54c81cbde4
eltwise layer SUM op update
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Signed-off-by: Li Peng <peng.li@intel.com>
2018-02-01 17:46:06 +08:00
Dmitry Kurtaev
184862582c
Fix slice layer from TensorFlow
2018-01-31 19:12:37 +03:00
Arjan van de Ven
a75840d19c
Merge pull request #10468 from fenrus75:avx512-2
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* Add a 512 bit codepath to the AVX512 fastConv function
this patch adds a 512 wide codepath to the fastConv() function for
AVX512 use.
The basic idea is to process the first N * 16 elements of the vector
with avx512, and then run the rest of the vector using the traditional
AVX2 codepath.
* dnn: use unaligned AVX512 load (OpenCV aligns data on 32-byte boundary)
* dnn: change "vecsize" condition for AVX512
* dnn: fix indentation
2018-01-31 16:34:12 +03:00
Alexander Alekhin
f06c44f1f1
Merge pull request #10701 from dkurt:tf_ave_pooling
2018-01-31 13:28:09 +00:00
Dmitry Kurtaev
844f1d0281
Fix Batch Normalization layer imported from NVIDIA Caffe.
2018-01-31 16:25:45 +03:00
Dmitry Kurtaev
a2e9bfbaf4
Fix padding for average pooling from TensorFlow
2018-01-31 15:54:30 +03:00
Dmitry Kurtaev
ae2e4af4a1
Faster-RCNN and RFCN tests
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https://github.com/rbgirshick/py-faster-rcnn
https://github.com/YuwenXiong/py-R-FCN
2018-01-30 13:17:35 +03:00
Li Peng
7a4c5e9421
slice layer ocl support
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Signed-off-by: Li Peng <peng.li@intel.com>
2018-01-29 22:34:32 +08:00
Alexander Alekhin
2876670de3
dnn(ocl): fix build options for Apple OpenCL
2018-01-28 01:54:25 +00:00
Alexander Alekhin
104502c5be
Merge pull request #10676 from dkurt:dnn_for_newer_mobilenet_ssd
2018-01-26 04:02:21 +00:00
Li Peng
2493083935
mvn, batch_norm and relu layer fusion
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Signed-off-by: Li Peng <peng.li@intel.com>
2018-01-25 18:57:05 +08:00
Li Peng
e15928b49e
convolution and tanh layer fusion
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Signed-off-by: Li Peng <peng.li@intel.com>
2018-01-25 17:45:33 +08:00
Dmitry Kurtaev
9e9926a2f0
PriorBox layer with explicit normalized sizes
2018-01-24 14:01:42 +03:00
Dmitry Kurtaev
a3d74704e5
OpenCV face detection network test
2018-01-23 09:27:58 +03:00
Alexander Alekhin
26e0f408f0
Merge pull request #10639 from pengli:dnn
2018-01-19 10:01:41 +00:00
Li Peng
fe494297e4
more update on MVN layer ocl implementation
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cut one ocl kernel if normVariance is disabled,
also use native_powr for performance reason.
Signed-off-by: Li Peng <peng.li@intel.com>
2018-01-19 22:54:04 +08:00
Alexander Alekhin
c3569211d5
Merge pull request #10591 from drkoller:master
2018-01-19 09:44:21 +00:00
Li Peng
2124361ff7
ocl support for Deconvolution layer
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Signed-off-by: Li Peng <peng.li@intel.com>
2018-01-18 23:40:22 +08:00
David Koller
d1a3b530be
Make DNN Crop layer match Caffe default offset behavior
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and add parametric unit test for crop layer.
2018-01-17 10:52:36 -05:00
Alexander Alekhin
6728b40ad3
Merge pull request #10602 from pengli:dnn
2018-01-17 08:58:25 +00:00
Li Peng
e77af4ae33
MVN layer ocl implementation
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Signed-off-by: Li Peng <peng.li@intel.com>
2018-01-17 17:11:32 +08:00
Li Peng
7bc017601f
Power, Tanh and Channels ReLU layer ocl support
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Signed-off-by: Li Peng <peng.li@intel.com>
2018-01-17 17:11:27 +08:00
Li Peng
4189214d04
batch_norm layer ocl update
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use a batch_norm ocl kernel to do the work
Signed-off-by: Li Peng <peng.li@intel.com>
2018-01-16 19:01:58 +08:00
Alexander Alekhin
4d84999452
dnn: protobuf build warnings
2018-01-15 21:15:23 +00:00
oqtvs
6d4b778303
dnn: Updated protobuf files (3.5.1)
2018-01-15 15:51:38 +00:00
Alexander Alekhin
1255bd8d4b
Merge pull request #10585 from dkurt:dnn_weightless_scale
2018-01-15 06:07:50 +00:00
Dmitry Kurtaev
6a395d88ff
dnn::blobFromImage with OutputArray
2018-01-13 18:20:24 +03:00
Dmitry Kurtaev
1f4fdfd599
Untrainable version of Scale layer from Caffe
2018-01-13 10:35:29 +03:00
Alexander Alekhin
8533b45ce9
cmake: Java/Android SDK refactoring
2018-01-13 02:12:39 +00:00
Dmitry Kurtaev
64a9e92390
Merge pull request #10466 from dkurt:reduce_umat_try_2
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* UMat blobs are wrapped
* Replace getUMat and getMat at OpenCLBackendWrapper
2018-01-10 21:50:54 +03:00
Alexander Alekhin
4d4f291553
Merge pull request #10513 from pengli:dnn
2018-01-09 19:24:28 +00:00
Li Peng
e3b42bf93b
batch_norm and blank layer ocl implementation
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Signed-off-by: Li Peng <peng.li@intel.com>
2018-01-09 21:58:46 +08:00
Alexander Alekhin
da0904df2d
Merge pull request #10550 from dkurt:replace_psroi_pooling_tag
2018-01-08 19:19:00 +00:00
Dmitry Kurtaev
27b55ea761
Replace Caffe's psroi_pooling_param tag from 10001 to 10002
2018-01-08 13:29:20 +03:00
Alexander Alekhin
6674a024fc
dnn: add OPENCV_DNN_DISABLE_MEMORY_OPTIMIZATIONS runtime option
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replaces REUSE_DNN_MEMORY compile-time option
2018-01-07 18:38:14 +00:00
Arthur Williams
8a67858068
Fixed missing #include "../precomp.hpp"
2018-01-05 15:10:39 +00:00
Li Peng
67f9406cbe
add normalize_bbox layer ocl implementation
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Signed-off-by: Li Peng <peng.li@intel.com>
2018-01-05 19:38:36 +08:00
Li Peng
f99a135eda
add eltwise layer ocl implementation
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Signed-off-by: Li Peng <peng.li@intel.com>
2018-01-05 19:38:30 +08:00
Li Peng
34bfd7ef51
add ocl implementation of proposal layer
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Signed-off-by: Li Peng <peng.li@intel.com>
2018-01-04 18:40:51 +08:00
Alexander Alekhin
7d67d60fb1
cmake(opt): AVX512_SKX
2017-12-29 07:18:11 +00:00
Alexander Alekhin
8e7af7f089
Merge pull request #10456 from dkurt:dnn_allocate_mem_for_optimized_concat
2017-12-28 16:04:51 +00:00
Alexander Alekhin
a65b5df5da
Merge pull request #10416 from fenrus75:avx512
2017-12-28 15:56:56 +00:00
Alexander Alekhin
2b3c140f04
Merge pull request #10436 from alalek:test_threads
2017-12-28 18:29:30 +03:00
Alexander Alekhin
898ca38257
cmake: AVX512 -> AVX_512F
2017-12-28 15:20:27 +00:00
Dmitry Kurtaev
a9807d8f54
Allocate new memory for optimized concat to prevent collisions.
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Add a flag to disable memory reusing in dnn module.
2017-12-28 16:45:53 +03:00
Li Peng
00f03c5739
Add ocl version FasterRCNN accuracy test
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Signed-off-by: Li Peng <peng.li@intel.com>
2017-12-28 19:15:15 +08:00
Alexander Alekhin
99a9c10b57
Merge pull request #10424 from dkurt:fix_concat_optim
2017-12-28 01:26:14 +00:00
Alexander Alekhin
9b131b5f7e
dnn(test): avoid calling of cv::setNumThreads() in tests directly
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It is not necessary by default.
Also it breaks test system command-line parameters: --perf_threads / --test_threads
2017-12-27 15:16:41 +00:00
Alexander Alekhin
f3880c60a6
Merge pull request #10428 from pengli:dnn
2017-12-27 13:18:10 +00:00
Arjan van de Ven
2938860b3f
Provide a few AVX512 optimized functions for the DNN module
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This patch adds AVX512 optimized fastConv as well as the hookups
needed to get these called in the convolution_layer.
AVX512 fastConv is code-identical on a C level to the AVX2 one,
but is measurably faster due to AVX512 having more registers available
to cache results in.
Signed-off-by: Arjan van de Ven <arjan@linux.intel.com>
2017-12-26 16:00:17 +00:00
Dmitry Kurtaev
70c605a03d
Limit Concat layer optimization
2017-12-26 16:49:33 +03:00
Li Peng
84e2fa79a0
dnn(ocl4dnn): update pre-tuned kernel config
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Signed-off-by: Li Peng <peng.li@intel.com>
2017-12-26 20:14:41 +08:00
Alexander Alekhin
adf43e7d2a
build: fix MSVS2010 build error
2017-12-23 00:06:34 +00:00
Alexander Alekhin
019b7c5a66
Merge pull request #10402 from dkurt:dnn_tf_quantized
2017-12-22 15:58:56 +00:00
Alexander Alekhin
59e825ee02
Merge pull request #10385 from pengli:dnn
2017-12-22 15:48:40 +00:00
Dmitry Kurtaev
bcc669f3f7
TensorFlow weights dequantization
2017-12-22 17:25:10 +03:00
Alexander Alekhin
97af608030
Merge pull request #10397 from mshabunin:fix-incorrect-assert
2017-12-22 14:07:02 +00:00
Li Peng
181b448c4d
add one more convolution kernel tuning candidate
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Signed-off-by: Li Peng <peng.li@intel.com>
2017-12-22 21:37:00 +08:00
Vadim Pisarevsky
0742e12f0b
Merge pull request #10265 from dkurt:nms_for_region_layer
2017-12-22 13:29:37 +00:00
Maksim Shabunin
aa46e31c6d
Replaced incorrect CV_Assert calls with CV_Error
2017-12-22 15:20:13 +03:00
Vadim Pisarevsky
325cbd7c84
Merge pull request #10364 from dkurt:dnn_smooth_tf_data_layout
2017-12-22 09:56:45 +00:00
Li Peng
c5fc8e03ff
cleanup unnecessary macros in convolution ocl kernel
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Signed-off-by: Li Peng <peng.li@intel.com>
2017-12-21 20:32:36 +08:00
Li Peng
0aa5e43a14
refactor candidate generation of convolution auto-tuning
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Signed-off-by: Li Peng <peng.li@intel.com>
2017-12-21 23:05:54 +08:00
Dmitry Kurtaev
c67e75b68f
Refactor NMS procedure at RegionLayer
2017-12-21 12:21:45 +03:00
Vadim Pisarevsky
eecb64a973
Merge pull request #10331 from arrybn:python_dnn_net
2017-12-20 14:30:27 +00:00
Dmitry Kurtaev
7e48fa58eb
Manage TensorFlow's NHWC data layout is smoother
2017-12-20 14:13:40 +03:00
Dmitry Kurtaev
0ed2cbc931
R-FCN models support
2017-12-20 10:43:22 +03:00
Alexander Alekhin
dcdd6af5a8
Merge pull request #10341 from pengli:dnn
2017-12-19 14:04:55 +00:00
Li Peng
3b84acfc48
add ocl accuracy test for tf mobilenet ssd
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Signed-off-by: Li Peng <peng.li@intel.com>
2017-12-19 18:38:55 +08:00
Li Peng
436d7e4eaf
add depthwise convolution kernel
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Signed-off-by: Li Peng <peng.li@intel.com>
2017-12-19 17:59:13 +08:00
Li Peng
910d7dab1f
prior box layer ocl implementation
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Signed-off-by: Li Peng <peng.li@intel.com>
2017-12-19 17:44:10 +08:00
Dmitry Kurtaev
6aabd6cc7a
Remove cv::dnn::Importer
2017-12-18 18:08:28 +03:00
Alexander Rybnikov
19c914db51
Changed wrapping mode for cv::dnn::Net::forward
2017-12-18 15:56:09 +03:00
Dmitry Kurtaev
2b43d4f477
Fix default pooling layer type
2017-12-17 16:46:40 +03:00
Alexander Alekhin
3fddce67c6
experimental version++
2017-12-16 01:30:36 +03:00
Maksim Shabunin
1033f2b1bd
Fixed 3 issues found by static analysis
2017-12-15 17:29:26 +03:00
Vadim Pisarevsky
62359f70ff
Merge pull request #10306 from dkurt:faster_rcnn
2017-12-15 12:23:53 +00:00
Dmitry Kurtaev
08112f3821
Faster-RCNN models support
2017-12-15 12:16:21 +03:00
Alexander Alekhin
0da947e6b3
dnn: more debug information
2017-12-14 19:21:17 +03:00
Alexander Alekhin
c231472ad6
Merge pull request #10290 from tomoaki0705:fixVS2012Round
2017-12-13 15:30:21 +00:00
Tomoaki Teshima
ecb6bcf2e0
fix build error on Visual Studio 2012
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* round doesn't exists in standard library of Visual Studio 2012
* apply the correct computation of ROI
2017-12-13 17:40:07 +03:00
Vitaly Tuzov
51cb56ef2c
Implementation of bit-exact resize. Internal calls to linear resize updated to use bit-exact version. ( #9468 )
2017-12-13 15:00:38 +03:00
Alexander Alekhin
eff42f6387
dnn: more debug info
2017-12-12 12:04:10 +03:00
Vadim Pisarevsky
7e680bd9ff
Merge pull request #10215 from dkurt:dnn_js
2017-12-11 12:47:52 +00:00
Vadim Pisarevsky
c24f10d647
Merge pull request #10268 from dkurt:fix_scale_layer
2017-12-08 18:46:50 +00:00
Dmitry Kurtaev
f503515082
JavaScript bindings for dnn module
2017-12-08 18:33:48 +03:00
Dmitry Kurtaev
e307065c8e
Scale layer in case of 2D inputs
2017-12-08 17:34:59 +03:00
Alexander Alekhin
f2070c9f5d
Merge pull request #10255 from dkurt:dnn_roi_pooling
2017-12-08 11:20:07 +00:00
Dmitry Kurtaev
17dcf0e82d
ROIPooling layer
2017-12-07 19:04:38 +03:00
Dmitry Kurtaev
ef0650179b
Fix conv/deconv/fc layers FLOPS computation
2017-12-07 11:42:04 +03:00
Alexander Alekhin
6074f92d48
Merge pull request #10228 from pengli:dnn_new
2017-12-06 15:50:12 +00:00
Alexander Alekhin
0b688cd23f
Merge pull request #10240 from alalek:dnn_perf_ssd
2017-12-06 15:41:18 +00:00
Li Peng
59cbaca4d3
detection_output layer ocl implementation
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Signed-off-by: Li Peng <peng.li@intel.com>
2017-12-06 22:35:59 +08:00
Li Peng
66feea6cac
region layer ocl implementation
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Signed-off-by: Li Peng <peng.li@intel.com>
2017-12-07 02:26:46 +08:00
Li Peng
7707c9bfba
reorg layer ocl implementation
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Signed-off-by: Li Peng <peng.li@intel.com>
2017-12-07 02:26:46 +08:00
Li Peng
85b1c4060c
support axis in concat layer ocl path
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Signed-off-by: Li Peng <peng.li@intel.com>
2017-12-07 02:26:46 +08:00
Li Peng
07bec6bdcd
reshape layer ocl implementation
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Signed-off-by: Li Peng <peng.li@intel.com>
2017-12-07 02:26:40 +08:00
Alexander Alekhin
d8a737b4b0
dnn: SSD performance test
2017-12-06 15:55:18 +03:00
Li Peng
7b7033ac60
permute layer ocl implementation
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Signed-off-by: Li Peng <peng.li@intel.com>
2017-12-05 22:10:05 +08:00
Dmitry Kurtaev
bbbec300a6
nn.BatchNormalization and nn.Dropout layers from Torch
2017-12-04 12:57:21 +03:00
Alexander Alekhin
cc2ee923e4
Merge pull request #10164 from pengli:dnn
2017-11-29 12:05:10 +00:00
Wu Zhiwen
1f465a0ef9
dnn(ocl4dnn): fuseLayer() use umat_input/outputBlobs for OpenCL target
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Also, fix bug when use OPENCL target but no OpenCL runtime
Signed-off-by: Wu Zhiwen <zhiwen.wu@intel.com>
2017-11-27 22:25:53 +08:00
Li Peng
a47fbd2610
Add ocl accuracy test for a few dnn nets
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They are alexnet, mobilenet-ssd, resnet50, squeezeNet_v1_1,
yolo and fast_neural_style.
Signed-off-by: Li Peng <peng.li@intel.com>
2017-11-27 23:33:21 +08:00
Dmitry Kurtaev
99ed085752
Update PriorBox layer
2017-11-27 16:47:20 +03:00
Alexander Alekhin
13f374660f
dnn(ocl4dnn): drop unused batch_size_ in pooling
2017-11-23 20:46:56 +00:00
Alexander Alekhin
e34b64c979
dnn(ocl4dnn): refactor pooling OpenCL calls
2017-11-23 20:46:44 +00:00
Alexander Alekhin
f071a48ec7
Merge pull request #10143 from pengli:ocl4dnn
2017-11-23 18:47:14 +00:00
Alexander Alekhin
107582c767
Merge pull request #9996 from dkurt:dnn_multiple_inputs
2017-11-23 18:22:37 +00:00
Li Peng
636d6368ee
use OutputArrayOfArrays in net forward interface
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It allows umat buffers used in net forward interface
Signed-off-by: Li Peng <peng.li@intel.com>
2017-11-24 02:19:10 +08:00
Wu, Zhiwen
04edc8fe3a
cleanup ocl4dnn spatial convolution kernels
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remove unused macros and half definition macros,
also remove unused ocl::Queue
Signed-off-by: Li Peng <peng.li@intel.com>
2017-11-24 02:19:10 +08:00
Alexander Alekhin
49a5280198
Merge pull request #10139 from alalek:dnn_rename_caffe_proto_package
2017-11-23 14:10:42 +00:00
Alexander Alekhin
f37f4cf3b4
Merge pull request #9994 from r2d3:dnn_memory_load
2017-11-22 18:15:00 +00:00
Alexander Alekhin
e7d62d6ef3
Merge pull request #10126 from alalek:dnn_issue_10125
2017-11-22 18:03:51 +00:00
Alexander Alekhin
b29893b938
dnn: autogenerated files
2017-11-22 18:34:07 +03:00
Alexander Alekhin
1c88a566e0
dnn: rename caffe protobuf package
2017-11-22 18:34:07 +03:00
Alexander Alekhin
9db5cbf9a4
dnn: sync output/internals blobs back
2017-11-22 14:00:58 +03:00
Vadim Pisarevsky
f8ad289311
Merge pull request #10092 from alalek:dnn_rename_caffe_proto
2017-11-22 08:16:20 +00:00
Alexander Alekhin
0f34628af7
dnn: drop OpenCL code path for DetectionOutputLayer
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getUMat()/getMat() calls are scope based. Results of these calls can't be
stored somewhere for future usage.
2017-11-21 17:28:42 +03:00
Alexander Alekhin
438e456ce9
Merge pull request #10113 from wzw-intel:fusion
2017-11-20 18:13:33 +00:00
Alexander Alekhin
f19f2bbcde
dnn: autogenerated files
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rename caffe.proto => opencv-caffe.proto
2017-11-20 19:04:02 +03:00
Alexander Alekhin
f6d927ef3b
dnn: avoid conflicts with original caffe.proto
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rename caffe.proto => opencv-caffe.proto
2017-11-20 19:04:00 +03:00
David Geldreich
f723cede2e
add loading TensorFlow/Caffe net from memory buffer
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add a corresponding test
2017-11-20 16:28:22 +01:00
Dmitry Kurtaev
6c5dd5cf6d
Replace caffe::NormalizedBBox to local structure
2017-11-20 18:03:31 +03:00
Wu Zhiwen
45d11dde57
dnn(ocl4dnn): add fusion support for Power activation and eltwise add
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Signed-off-by: Wu Zhiwen <zhiwen.wu@intel.com>
2017-11-20 14:58:53 +08:00
Wu Zhiwen
394101d6ed
dnn(ocl4dnn): Fix relu fusion bug
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Incorrect type of negative_slope result in this bug.
Also and OCL test for darknet to validate this patch.
Signed-off-by: Wu Zhiwen <zhiwen.wu@intel.com>
2017-11-17 16:21:56 +08:00
Jcrist99
0608227e10
Merge pull request #9698 from abratchik:parse.doxygen
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Support @deprecated tag in java wrappers (#9698 )
2017-11-16 16:48:12 +03:00
Wu Zhiwen
88e6daa315
dnn(ocl4dnn): Fix wrong measurement for tuning time
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convolution kernel use default queue to run, so that ocl::Timer
, to measure the kernel run time, should use the default queue too.
Also remove useless parameter for convolve()
Signed-off-by: Wu Zhiwen <zhiwen.wu@intel.com>
2017-11-16 13:09:57 +08:00
Li Peng
55260a8d3c
reshape mat before doing computation in fc layer
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Signed-off-by: Li Peng <peng.li@intel.com>
2017-11-13 09:29:50 +08:00
Alexander Alekhin
bafdc44d37
Merge pull request #10061 from Sahloul:dnn_torch_fix
2017-11-10 05:05:52 +00:00
Alexander Alekhin
8a3a75cc16
Merge pull request #9882 from pengli:ocl4dnn
2017-11-09 18:54:43 +00:00
Hamdi Sahloul
06bda58a2c
DNN Torch - workaround when torch importer is disabled
2017-11-10 00:44:06 +09:00
Li Peng
8f99083726
Add new layer forward interface
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Add layer forward interface with InputArrayOfArrays and
OutputArrayOfArrays parameters, it allows UMat buffer to be
processed and transferred in the layers.
Signed-off-by: Li Peng <peng.li@intel.com>
2017-11-09 15:59:39 +08:00
Alexander Alekhin
97181a90ba
dnn(ocl4dnn/conv): bailout on missing kernel configuration
2017-11-07 17:02:17 +03:00
Alexander Alekhin
6e4f9433d0
Merge pull request #9998 from alalek:ocl_fix_dnn_softmax_9991
2017-11-03 09:16:39 +00:00
Dmitry Kurtaev
20a2dc6ac5
Fix multiple inputs models from Caffe.
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Fixed Concat optimization.
2017-11-02 18:55:08 +03:00
Alexander Alekhin
bacc96f4e8
dnn(ocl): fix softmax global/local size consistency
2017-11-02 17:08:40 +03:00
Dmitry Kurtaev
14af2a0c0c
Fixed Halide's copy_to_device invocation
2017-11-01 14:01:54 +03:00
Vadim Pisarevsky
bc348eb8ab
Merge pull request #9963 from dkurt:fix_caffe_shrinker
2017-10-31 12:27:19 +00:00
Dmitry Kurtaev
e1ebc4e991
Specify layer types for Caffe FP32->FP16 weights converter
2017-10-31 12:31:40 +03:00
Dmitry Kurtaev
03cefa7bfe
Set zero confidences in case of no detections
2017-10-30 10:17:57 +03:00
Vadim Pisarevsky
e0e40405ed
Merge pull request #9847 from wzw-intel:ocl4dnn_fusion
2017-10-27 13:59:46 +00:00
Vadim Pisarevsky
ff037ebe5f
Merge pull request #9845 from dkurt:fast_neural_style_models
2017-10-27 13:59:02 +00:00
Vadim Pisarevsky
5384d2f090
Merge pull request #9880 from dkurt:caffe_ceil_mode
2017-10-27 11:51:46 +00:00
Dmitry Kurtaev
4b52b8df34
Layers for fast-neural-style models: https://github.com/jcjohnson/fast-neural-style
2017-10-27 14:26:45 +03:00
Vadim Pisarevsky
bc93775385
Merge pull request #9862 from sovrasov:dnn_nms
2017-10-27 11:19:57 +00:00
Vadim Pisarevsky
825c0ffdb4
Merge pull request #9874 from dkurt:fix_identity_permute_layer
2017-10-27 11:11:48 +00:00
Vadim Pisarevsky
69f2590359
Merge pull request #9921 from dkurt:fix_prelu_after_fully_connected
2017-10-27 11:10:59 +00:00
Vadim Pisarevsky
7b8fb64f21
Merge pull request #9939 from alalek:fix_dnn_getUMat_crash
2017-10-27 11:06:22 +00:00
Vladislav Sovrasov
5bf39ceb5d
dnn: handle 4-channel images in blobFromImage ( #9944 )
2017-10-27 14:06:53 +03:00
Alexander Alekhin
436a1f72a5
dnn: fix sporadic crashes in getUMat()
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Incorrect "total" buffer size calculated in StdMatAllocator::allocate() due wrong step values.
2017-10-25 18:07:05 +03:00
Vladislav Sovrasov
7e3e9144de
dnn: add an accuracy test for NMS
2017-10-25 13:40:56 +03:00
Vladislav Sovrasov
c704942b8a
dnn: add a documentation for NMS, fix missing experimantal namespace
2017-10-25 13:35:49 +03:00
Vladislav Sovrasov
acedb4a579
dnn: make NMS function public
2017-10-25 13:35:49 +03:00
Alexander Alekhin
a871f9e4f7
Merge branch 'update_version' into release
2017-10-23 18:41:12 +03:00
Dmitry Kurtaev
a36ebaecdc
PReLU layer for multidimensional input
2017-10-23 16:13:03 +03:00
Dmitry Kurtaev
410d44d67d
Binary data for batch normalization test from Torch
2017-10-20 12:01:42 +03:00
Alexander Alekhin
185faf99bd
ocl: simplify ocl::Timer interface
2017-10-18 16:01:21 +03:00
Dmitry Kurtaev
b903ff8992
Ceil mode from experimental version of Caffe, https://github.com/BVLC/caffe/pull/3057
2017-10-18 14:04:53 +03:00
Dmitry Kurtaev
a3a446c197
Output blobs shapes initialization in case of identity permutation (NCHW->NCHW)
2017-10-17 17:15:25 +03:00
Alexander Alekhin
110af09bf9
Merge pull request #9853 from catree:fix_dnn_samples_python3
2017-10-16 16:18:22 +00:00
Wu Zhiwen
2d8f2c2aea
dnn(ocl4dnn): add fusion support
...
ocl4dnn supports following fusion styles:
Conv + [BN] + [Scale] + [ReLU/PReLU]
Signed-off-by: Wu Zhiwen <zhiwen.wu@intel.com>
2017-10-16 19:18:36 +08:00
Maksim Shabunin
b066dd36ff
Fixed uninitialized class fields
2017-10-16 13:47:43 +03:00
catree
22dece8146
Fix DNN samples for compatibility with Python 3.
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Add PyInt_Check in pyopencv_dnn.hpp.
2017-10-15 20:24:56 +02:00
Igor Wodiany
e2499e5b2f
Move vector_size_t and vector_vector_Mat
...
These two typdefs are not compiled when BUILD_opencv_dnn is set to
false, however there are other modules that uses these typedef so
it may cause build errors. Moving typedef to the python module
ensures they are always defined.
2017-10-14 19:06:15 +01:00
Alexander Alekhin
4857cae6ed
dnn: don't use "experimental_dnn_v1" namespace directly
2017-10-12 18:16:53 +03:00
Alexander Alekhin
df5b2224d7
Merge pull request #9829 from pengli:ocl4dnn
2017-10-12 11:26:20 +00:00
Li Peng
937b8e4277
dnn(ocl4dnn): support log softmax in ocl4dnn
...
Signed-off-by: Li Peng <peng.li@intel.com>
2017-10-12 09:51:13 +08:00
Vadim Pisarevsky
e356ca2369
Merge pull request #9835 from sovrasov:blob_from_img_crop_opt
2017-10-11 17:18:40 +00:00
Vadim Pisarevsky
8b168175ec
Merge pull request #9636 from dkurt:duplicate_lp_norm_layer
2017-10-11 13:36:14 +00:00
Vadim Pisarevsky
0873ebb9b0
Merge pull request #9820 from sovrasov:text_detector_dnn
2017-10-11 13:31:46 +00:00
Vadim Pisarevsky
babd21c764
Merge pull request #9823 from alalek:dnn_halide_bypass_tbb_threads
2017-10-11 13:28:38 +00:00
Vladislav Sovrasov
47e1133e71
dnn: add crop flag to blobFromImage
2017-10-11 15:46:20 +03:00
Vladislav Sovrasov
f7175f5050
dnn: fix additional text boxes handling after the latest adaptations for TF
2017-10-11 14:04:48 +03:00
Vladislav Sovrasov
050916fd6b
dnn: modify priorBox layer
2017-10-11 11:43:50 +03:00
Dmitry Kurtaev
905a9dada2
Removed LPNormalize layer.
2017-10-10 20:38:55 +03:00
Alexander Alekhin
3935e13603
dnn(halide): don't compile Halide via parallel_for_()
...
To avoid problem with reduced stack size of inner threads.
2017-10-10 18:06:03 +03:00
Vadim Pisarevsky
b7ff9ddcdd
Merge pull request #9705 from AlexeyAB:dnn_darknet_yolo_v2
2017-10-10 12:02:03 +00:00
Vadim Pisarevsky
046045239c
Merge pull request #9750 from dkurt:feature_dnn_tf_text_graph
2017-10-10 10:06:24 +00:00
Alexander Alekhin
949ec486c5
experimental version++
2017-10-10 12:29:57 +03:00
AlexeyAB
ecc34dc521
Added DNN Darknet Yolo v2 for object detection
2017-10-09 21:08:44 +03:00
Dmitry Kurtaev
eabf728682
PReLU layer from Caffe
2017-10-09 20:30:37 +03:00
Vadim Pisarevsky
fee87ea3f7
Merge pull request #9800 from alalek:fix_build_msvs2010
2017-10-09 12:33:08 +00:00
Vadim Pisarevsky
6a80834ed4
Merge pull request #9803 from wzw-intel:ocl_timer
2017-10-09 12:11:22 +00:00
Maksim Shabunin
5a22d81fe5
Fixed warnings produced by static analyzer
2017-10-09 13:37:18 +03:00
Wu Zhiwen
dbe9ee0924
ocl: simplify ocl::Timer
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Use clFinish to gurantee commands completed, instead of waiting for events.
Signed-off-by: Wu Zhiwen <zhiwen.wu@intel.com>
2017-10-09 13:48:38 +08:00
Alexander Alekhin
e615fafe2d
build: fix MSVS2010
2017-10-08 23:32:22 +03:00
Dmitry Kurtaev
e4aa39f9e5
Text TensorFlow graphs parsing. MobileNet-SSD for 90 classes.
2017-10-08 22:25:29 +03:00
Vadim Pisarevsky
21bd834a59
Merge pull request #9772 from dkurt:fix_caffe_eltwise_and_fc_layers
2017-10-06 13:47:54 +00:00
Vadim Pisarevsky
b969d86415
Merge pull request #9787 from dkurt:feature_dnn_resize_nearest_neighbor
2017-10-06 13:46:50 +00:00
Vadim Pisarevsky
fe58b58937
Merge pull request #9778 from dkurt:dnn_colorization
2017-10-06 11:48:05 +00:00
Dmitry Kurtaev
b9f94c9315
Nearest neighbor resize layer
2017-10-06 14:33:26 +03:00
Dmitry Kurtaev
e268606e26
Grayscale colorization model ( https://github.com/richzhang/colorization ) test.
2017-10-06 09:33:41 +03:00
Dmitry Kurtaev
ad8bbaf008
Multidimensional eltwise layer.
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Fixed fully-connected layer axis.
2017-10-04 14:01:44 +03:00
Dmitry Kurtaev
2a21c10837
Fix TensorFlow split layer
2017-10-02 22:44:42 +03:00
pengli
e340ff9c3a
Merge pull request #9114 from pengli:dnn_rebase
...
add libdnn acceleration to dnn module (#9114 )
* import libdnn code
Signed-off-by: Li Peng <peng.li@intel.com>
* add convolution layer ocl acceleration
Signed-off-by: Li Peng <peng.li@intel.com>
* add pooling layer ocl acceleration
Signed-off-by: Li Peng <peng.li@intel.com>
* add softmax layer ocl acceleration
Signed-off-by: Li Peng <peng.li@intel.com>
* add lrn layer ocl acceleration
Signed-off-by: Li Peng <peng.li@intel.com>
* add innerproduct layer ocl acceleration
Signed-off-by: Li Peng <peng.li@intel.com>
* add HAVE_OPENCL macro
Signed-off-by: Li Peng <peng.li@intel.com>
* fix for convolution ocl
Signed-off-by: Li Peng <peng.li@intel.com>
* enable getUMat() for multi-dimension Mat
Signed-off-by: Li Peng <peng.li@intel.com>
* use getUMat for ocl acceleration
Signed-off-by: Li Peng <peng.li@intel.com>
* use CV_OCL_RUN macro
Signed-off-by: Li Peng <peng.li@intel.com>
* set OPENCL target when it is available
and disable fuseLayer for OCL target for the time being
Signed-off-by: Li Peng <peng.li@intel.com>
* fix innerproduct accuracy test
Signed-off-by: Li Peng <peng.li@intel.com>
* remove trailing space
Signed-off-by: Li Peng <peng.li@intel.com>
* Fixed tensorflow demo bug.
Root cause is that tensorflow has different algorithm with libdnn
to calculate convolution output dimension.
libdnn don't calculate output dimension anymore and just use one
passed in by config.
* split gemm ocl file
split it into gemm_buffer.cl and gemm_image.cl
Signed-off-by: Li Peng <peng.li@intel.com>
* Fix compile failure
Signed-off-by: Li Peng <peng.li@intel.com>
* check env flag for auto tuning
Signed-off-by: Li Peng <peng.li@intel.com>
* switch to new ocl kernels for softmax layer
Signed-off-by: Li Peng <peng.li@intel.com>
* update softmax layer
on some platform subgroup extension may not work well,
fallback to non subgroup ocl acceleration.
Signed-off-by: Li Peng <peng.li@intel.com>
* fallback to cpu path for fc layer with multi output
Signed-off-by: Li Peng <peng.li@intel.com>
* update output message
Signed-off-by: Li Peng <peng.li@intel.com>
* update fully connected layer
fallback to gemm API if libdnn return false
Signed-off-by: Li Peng <peng.li@intel.com>
* Add ReLU OCL implementation
* disable layer fusion for now
Signed-off-by: Li Peng <peng.li@intel.com>
* Add OCL implementation for concat layer
Signed-off-by: Wu Zhiwen <zhiwen.wu@intel.com>
* libdnn: update license and copyrights
Also refine libdnn coding style
Signed-off-by: Wu Zhiwen <zhiwen.wu@intel.com>
Signed-off-by: Li Peng <peng.li@intel.com>
* DNN: Don't link OpenCL library explicitly
* DNN: Make default preferableTarget to DNN_TARGET_CPU
User should set it to DNN_TARGET_OPENCL explicitly if want to
use OpenCL acceleration.
Also don't fusion when using DNN_TARGET_OPENCL
* DNN: refine coding style
* Add getOpenCLErrorString
* DNN: Use int32_t/uint32_t instread of alias
* Use namespace ocl4dnn to include libdnn things
* remove extra copyTo in softmax ocl path
Signed-off-by: Li Peng <peng.li@intel.com>
* update ReLU layer ocl path
Signed-off-by: Li Peng <peng.li@intel.com>
* Add prefer target property for layer class
It is used to indicate the target for layer forwarding,
either the default CPU target or OCL target.
Signed-off-by: Li Peng <peng.li@intel.com>
* Add cl_event based timer for cv::ocl
* Rename libdnn to ocl4dnn
Signed-off-by: Li Peng <peng.li@intel.com>
Signed-off-by: wzw <zhiwen.wu@intel.com>
* use UMat for ocl4dnn internal buffer
Remove allocateMemory which use clCreateBuffer directly
Signed-off-by: Li Peng <peng.li@intel.com>
Signed-off-by: wzw <zhiwen.wu@intel.com>
* enable buffer gemm in ocl4dnn innerproduct
Signed-off-by: Li Peng <peng.li@intel.com>
* replace int_tp globally for ocl4dnn kernels.
Signed-off-by: wzw <zhiwen.wu@intel.com>
Signed-off-by: Li Peng <peng.li@intel.com>
* create UMat for layer params
Signed-off-by: Li Peng <peng.li@intel.com>
* update sign ocl kernel
Signed-off-by: Li Peng <peng.li@intel.com>
* update image based gemm of inner product layer
Signed-off-by: Li Peng <peng.li@intel.com>
* remove buffer gemm of inner product layer
call cv::gemm API instead
Signed-off-by: Li Peng <peng.li@intel.com>
* change ocl4dnn forward parameter to UMat
Signed-off-by: Li Peng <peng.li@intel.com>
* Refine auto-tuning mechanism.
- Use OPENCV_OCL4DNN_KERNEL_CONFIG_PATH to set cache directory
for fine-tuned kernel configuration.
e.g. export OPENCV_OCL4DNN_KERNEL_CONFIG_PATH=/home/tmp,
the cache directory will be /home/tmp/spatialkernels/ on Linux.
- Define environment OPENCV_OCL4DNN_ENABLE_AUTO_TUNING to enable
auto-tuning.
- OPENCV_OPENCL_ENABLE_PROFILING is only used to enable profiling
for OpenCL command queue. This fix basic kernel get wrong running
time, i.e. 0ms.
- If creating cache directory failed, disable auto-tuning.
* Detect and create cache dir on windows
Signed-off-by: Li Peng <peng.li@intel.com>
* Refine gemm like convolution kernel.
Signed-off-by: Li Peng <peng.li@intel.com>
* Fix redundant swizzleWeights calling when use cached kernel config.
* Fix "out of resource" bug when auto-tuning too many kernels.
* replace cl_mem with UMat in ocl4dnnConvSpatial class
* OCL4DNN: reduce the tuning kernel candidate.
This patch could reduce 75% of the tuning candidates with less
than 2% performance impact for the final result.
Signed-off-by: Zhigang Gong <zhigang.gong@intel.com>
* replace cl_mem with umat in ocl4dnn convolution
Signed-off-by: Li Peng <peng.li@intel.com>
* remove weight_image_ of ocl4dnn inner product
Actually it is unused in the computation
Signed-off-by: Li Peng <peng.li@intel.com>
* Various fixes for ocl4dnn
1. OCL_PERFORMANCE_CHECK(ocl::Device::getDefault().isIntel())
2. Ptr<OCL4DNNInnerProduct<float> > innerProductOp
3. Code comments cleanup
4. ignore check on OCL cpu device
Signed-off-by: Li Peng <peng.li@intel.com>
* add build option for log softmax
Signed-off-by: Li Peng <peng.li@intel.com>
* remove unused ocl kernels in ocl4dnn
Signed-off-by: Li Peng <peng.li@intel.com>
* replace ocl4dnnSet with opencv setTo
Signed-off-by: Li Peng <peng.li@intel.com>
* replace ALIGN with cv::alignSize
Signed-off-by: Li Peng <peng.li@intel.com>
* check kernel build options
Signed-off-by: Li Peng <peng.li@intel.com>
* Handle program compilation fail properly.
* Use std::numeric_limits<float>::infinity() for large float number
* check ocl4dnn kernel compilation result
Signed-off-by: Li Peng <peng.li@intel.com>
* remove unused ctx_id
Signed-off-by: Li Peng <peng.li@intel.com>
* change clEnqueueNDRangeKernel to kernel.run()
Signed-off-by: Li Peng <peng.li@intel.com>
* change cl_mem to UMat in image based gemm
Signed-off-by: Li Peng <peng.li@intel.com>
* check intel subgroup support for lrn and pooling layer
Signed-off-by: Li Peng <peng.li@intel.com>
* Fix convolution bug if group is greater than 1
Signed-off-by: Li Peng <peng.li@intel.com>
* Set default layer preferableTarget to be DNN_TARGET_CPU
Signed-off-by: Li Peng <peng.li@intel.com>
* Add ocl perf test for convolution
Signed-off-by: Li Peng <peng.li@intel.com>
* Add more ocl accuracy test
Signed-off-by: Li Peng <peng.li@intel.com>
* replace cl_image with ocl::Image2D
Signed-off-by: Li Peng <peng.li@intel.com>
* Fix build failure in elementwise layer
Signed-off-by: Li Peng <peng.li@intel.com>
* use getUMat() to get blob data
Signed-off-by: Li Peng <peng.li@intel.com>
* replace cl_mem handle with ocl::KernelArg
Signed-off-by: Li Peng <peng.li@intel.com>
* dnn(build): don't use C++11, OPENCL_LIBRARIES fix
* dnn(ocl4dnn): remove unused OpenCL kernels
* dnn(ocl4dnn): extract OpenCL code into .cl files
* dnn(ocl4dnn): refine auto-tuning
Defaultly disable auto-tuning, set OPENCV_OCL4DNN_ENABLE_AUTO_TUNING
environment variable to enable it.
Use a set of pre-tuned configs as default config if auto-tuning is disabled.
These configs are tuned for Intel GPU with 48/72 EUs, and for googlenet,
AlexNet, ResNet-50
If default config is not suitable, use the first available kernel config
from the candidates. Candidate priority from high to low is gemm like kernel,
IDLF kernel, basick kernel.
* dnn(ocl4dnn): pooling doesn't use OpenCL subgroups
* dnn(ocl4dnn): fix perf test
OpenCV has default 3sec time limit for each performance test.
Warmup OpenCL backend outside of perf measurement loop.
* use ocl::KernelArg as much as possible
Signed-off-by: Li Peng <peng.li@intel.com>
* dnn(ocl4dnn): fix bias bug for gemm like kernel
* dnn(ocl4dnn): wrap cl_mem into UMat
Signed-off-by: Li Peng <peng.li@intel.com>
* dnn(ocl4dnn): Refine signature of kernel config
- Use more readable string as signture of kernel config
- Don't count device name and vendor in signature string
- Default kernel configurations are tuned for Intel GPU with
24/48/72 EUs, and for googlenet, AlexNet, ResNet-50 net model.
* dnn(ocl4dnn): swap width/height in configuration
* dnn(ocl4dnn): enable configs for Intel OpenCL runtime only
* core: make configuration helper functions accessible from non-core modules
* dnn(ocl4dnn): update kernel auto-tuning behavior
Avoid unwanted creation of directories
* dnn(ocl4dnn): simplify kernel to workaround OpenCL compiler crash
* dnn(ocl4dnn): remove redundant code
* dnn(ocl4dnn): Add more clear message for simd size dismatch.
* dnn(ocl4dnn): add const to const argument
Signed-off-by: Li Peng <peng.li@intel.com>
* dnn(ocl4dnn): force compiler use a specific SIMD size for IDLF kernel
* dnn(ocl4dnn): drop unused tuneLocalSize()
* dnn(ocl4dnn): specify OpenCL queue for Timer and convolve() method
* dnn(ocl4dnn): sanitize file names used for cache
* dnn(perf): enable Network tests with OpenCL
* dnn(ocl4dnn/conv): drop computeGlobalSize()
* dnn(ocl4dnn/conv): drop unused fields
* dnn(ocl4dnn/conv): simplify ctor
* dnn(ocl4dnn/conv): refactor kernelConfig localSize=NULL
* dnn(ocl4dnn/conv): drop unsupported double / untested half types
* dnn(ocl4dnn/conv): drop unused variable
* dnn(ocl4dnn/conv): alignSize/divUp
* dnn(ocl4dnn/conv): use enum values
* dnn(ocl4dnn): drop unused innerproduct variable
Signed-off-by: Li Peng <peng.li@intel.com>
* dnn(ocl4dnn): add an generic function to check cl option support
* dnn(ocl4dnn): run softmax subgroup version kernel first
Signed-off-by: Li Peng <peng.li@intel.com>
2017-10-02 15:38:00 +03:00
Vadim Pisarevsky
5e93c82023
Merge pull request #9491 from dkurt:tf_lstm
2017-09-28 21:04:06 +00:00
Vadim Pisarevsky
22467599c4
Merge pull request #9692 from alalek:dnn_perf_net
2017-09-28 13:44:24 +00:00
Vadim Pisarevsky
68cc2e292d
Merge pull request #9734 from dkurt:fix_deconv_layer_kernel_layout
2017-09-28 11:42:57 +00:00
Vadim Pisarevsky
45365e4df1
Merge pull request #9691 from dkurt:padding_layer_refactoring
2017-09-28 11:34:28 +00:00
Dmitry Kurtaev
6e593cd1f0
Swap dimensions of deconvolution kernel
2017-09-27 22:38:34 +03:00
Alexander Alekhin
3dee92ec50
fix usage of CV_FMA3 macro
2017-09-26 17:23:54 +03:00
Dmitry Kurtaev
84cec17913
LSTM layer for TensorFlow importer
2017-09-26 12:59:36 +03:00
Alexander Alekhin
aea25e7f90
Merge pull request #9676 from jrobble:fix_caffe_swaprb
2017-09-25 16:05:11 +00:00
Alexander Alekhin
78788e1efb
dnn(perf): update perf tests
2017-09-25 15:32:37 +03:00
jrobble
c67ad49378
Set swapRB to false in Caffe tests and examples.
2017-09-22 09:58:48 -04:00
Dmitry Kurtaev
222149b9c6
Refactored Padding layer
2017-09-22 12:39:00 +03:00
Dmitry Kurtaev
17a85b16fc
Remove reorder_dims attribute of Reshape layer
2017-09-21 16:42:03 +03:00
Dmitry Kurtaev
bdd8cc697a
Import wrapped Dropout subgraphs from TensorFlow
2017-09-20 13:30:25 +03:00
Alexander Alekhin
6a5298a532
Merge pull request #9664 from tomoaki0705:fixBuildVS2013
2017-09-19 12:25:18 +00:00
Tomoaki Teshima
48c4bea57c
fix build on Visual Studio 2013 and earlier
2017-09-19 19:08:23 +09:00
Vadim Pisarevsky
f7df5dd32c
Merge pull request #9305 from dkurt:public_dnn_importer_is_deprecated
2017-09-18 09:35:35 +00:00
Vadim Pisarevsky
e012ccda4a
Merge pull request #9517 from dkurt:tf_mobilenet
2017-09-18 09:31:19 +00:00
Vadim Pisarevsky
3358b8910b
Merge pull request #9591 from dkurt:feature_dnn_caffe_importer_fp16
2017-09-18 09:26:23 +00:00
Dmitry Kurtaev
bd8e6b7e14
Make external cv::dnn::Importer usage is deprecated
2017-09-18 08:52:36 +03:00