Alexander Alekhin
9e1b1e5389
OpenCV 3.4.2
2018-07-04 14:05:47 +03:00
Dmitry Kurtaev
e8e9d1d021
Implement Interp layer using Resize layer
2018-06-22 19:26:47 +03:00
Dmitry Kurtaev
4626246087
Add ShuffleChannel layer
2018-06-21 19:10:42 +03:00
Alexander Alekhin
ab11b17d4b
experimental version++
2018-06-10 10:20:38 +03:00
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
Vadim Pisarevsky
3cbd2e2764
Merge pull request #11650 from dkurt:dnn_default_backend
2018-06-06 09:30:39 +00:00
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
Kuang Fangjun
9ae28415ec
fix doc.
2018-06-03 17:44:24 +08:00
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
Dmitry Kurtaev
2c3c59d018
Remove Shift deep learning layer
2018-05-28 18:18:56 +03:00
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
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
Alexander Alekhin
6b581c4e51
build: unreachable code after CV_Error() (part 2)
2018-04-24 16:03:40 +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
Dmitry Kurtaev
66ce8cd7ea
Fix bugs found by valgrind
2018-04-17 17:53:51 +03:00
Vadim Pisarevsky
533bb89800
Merge pull request #11236 from dkurt:dnn_fuse_l2_norm
2018-04-11 15:09:55 +00:00
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
Alexander Alekhin
1060c0f439
dnn: apply CV_OVERRIDE/CV_FINAL
2018-03-28 18:43:27 +03:00
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
538fd42363
Add test for Scalar arguments at CommandLineParser
2018-03-13 11:01:07 +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
4a74408eee
experimental version++
2018-02-23 11:38:33 +03:00
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
f8d0d6365e
Add a flag to manage average pooling with padding
2018-02-14 16:56:31 +03:00
Dmitry Kurtaev
514e6df460
Refactored deep learning layers fusion
2018-02-13 14:35:58 +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
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
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
Vadim Pisarevsky
eecb64a973
Merge pull request #10331 from arrybn:python_dnn_net
2017-12-20 14:30:27 +00:00
Dmitry Kurtaev
0ed2cbc931
R-FCN models support
2017-12-20 10:43:22 +03:00
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
Alexander Alekhin
3fddce67c6
experimental version++
2017-12-16 01:30:36 +03:00
Dmitry Kurtaev
08112f3821
Faster-RCNN models support
2017-12-15 12:16:21 +03:00
Dmitry Kurtaev
f503515082
JavaScript bindings for dnn module
2017-12-08 18:33:48 +03:00
Dmitry Kurtaev
17dcf0e82d
ROIPooling layer
2017-12-07 19:04:38 +03:00
Alexander Alekhin
f071a48ec7
Merge pull request #10143 from pengli:ocl4dnn
2017-11-23 18:47:14 +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
Alexander Alekhin
f37f4cf3b4
Merge pull request #9994 from r2d3:dnn_memory_load
2017-11-22 18:15:00 +00:00
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
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
Dmitry Kurtaev
e1ebc4e991
Specify layer types for Caffe FP32->FP16 weights converter
2017-10-31 12:31:40 +03:00
Dmitry Kurtaev
4b52b8df34
Layers for fast-neural-style models: https://github.com/jcjohnson/fast-neural-style
2017-10-27 14:26:45 +03:00