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