mirror/opencv
1
0
Fork 0
mirror of https://github.com/opencv/opencv.git synced 2025-01-11 15:08:08 +08:00
Code Issues Actions Packages Projects Releases Wiki Activity
24,740 Commits 6 Branches 128 Tags 3 GiB
76d4aa0c06
Commit Graph

70 Commits

Author SHA1 Message Date
Dmitry Kurtaev
d486204a0d Merge pull request #12264 from dkurt:dnn_remove_forward_method 
* Remove a forward method in dnn::Layer

* Add a test

* Fix tests

* Mark multiple dnn::Layer::finalize methods as deprecated

* Replace back dnn's inputBlobs to vector of pointers

* Remove Layer::forward_fallback from CV_OCL_RUN scopes
 2018-09-06 13:26:47 +03:00
Dmitry Kurtaev
50bceea038 Include preprocessing nodes to object detection TensorFlow networks (#12211) 
* Include preprocessing nodes to object detection TensorFlow networks

* Enable more fusion

* faster_rcnn_resnet50_coco_2018_01_28 test
 2018-08-31 15:41:56 +03:00
Dmitry Kurtaev
3e027df583 Enable more deep learning tests using Intel's Inference Engine backend 2018-08-27 18:37:35 +03:00
Alexander Alekhin
d2e08a524e core: repair CV_Assert() messages 
Multi-argument CV_Assert() is accessible via CV_Assert_N() (with malformed messages).
 2018-08-15 17:43:10 +03:00
Dmitry Kurtaev
be08730cd6 MVN layer using Intel's Inference Engine backend 2018-08-02 17:49:03 +03:00
Maksim Shabunin
cbb1e867e5 More issues found by static analysis 2018-07-24 16:04:42 +03:00
Alexander Alekhin
ee743afebe dnn(ocl): don't use getUMat() for long live objects 2018-07-20 17:53:55 +03:00
Vadim Pisarevsky
523b6f32ba Merge pull request #11867 from dkurt:dnn_ie_layers 2018-07-06 13:13:20 +00:00
Dmitry Kurtaev
019c2f2115 Enable more deep learning tests 2018-07-05 14:23:15 +03:00
Alexander Alekhin
b09a4a98d4 opencv: Use cv::AutoBuffer<>::data() 2018-07-04 19:11:29 +03:00
Dmitry Kurtaev
2c291bc2fb Enable FastNeuralStyle and OpenFace networks with IE backend 2018-06-09 15:57:12 +03:00
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
 2018-06-07 13:45:54 +00:00
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
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
Maksim Shabunin
895e10c317 dnn: fixed IE support on Windows 2018-05-23 12:46:14 +03:00
Li Peng
3dd916882a fp16 ocl support for googlenet 
Signed-off-by: Li Peng <peng.li@intel.com>
 2018-05-16 22:45:02 +08:00
Dmitry Kurtaev
c99c3e761e Fuse multipliers but not convolution layers weights 2018-05-10 19:24:38 +03:00
Dmitry Kurtaev
66ce8cd7ea Fix bugs found by valgrind 2018-04-17 17:53:51 +03:00
Dmitry Kurtaev
709cf5d038 OpenCL GPU target for Inference Engine deep learning backend 
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
Alexander Alekhin
6c051a55e5 cmake: don't add include <module>/src directory to avoid conflicts 
during opencv_world builds
 2018-03-19 11:14:15 +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
Alexander Alekhin
1b83bc48a1 dnn: make OpenCL DNN code optional 2018-03-01 12:12:40 +03:00
Wu Zhiwen
ef937dd676 ocl4dnn: Fix SAME padding mode for convolve 
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
Li Peng
608968aa83 Deconvolution ocl fix 
Signed-off-by: Li Peng <peng.li@intel.com>
 2018-02-23 18:31:30 +08:00
Li Peng
c524f669c7 Fallback for "SAME" padMode in ocl convolution and pooling 
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
Li Peng
2863f950d6 ReLU6 layer ocl support 
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
Alexander Alekhin
cff79609c8 Merge pull request #10854 from pengli:dnn 2018-02-14 12:49:53 +00:00
Vadim Pisarevsky
6dfd7e3da2 Merge pull request #10850 from dkurt:dnn_tf_deconv_tests 2018-02-14 10:35:14 +00:00
Li Peng
5992c46606 add fallback case for ocl convolution 
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
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
Dmitry Kurtaev
10e1de74d2 Intel Inference Engine deep learning backend (#10608) 
* Intel Inference Engine deep learning backend.

* OpenFace network using Inference Engine backend
 2018-02-06 11:57:35 +03:00
Li Peng
e15928b49e convolution and tanh layer fusion 
Signed-off-by: Li Peng <peng.li@intel.com>
 2018-01-25 17:45:33 +08:00
Li Peng
2124361ff7 ocl support for Deconvolution layer 
Signed-off-by: Li Peng <peng.li@intel.com>
 2018-01-18 23:40:22 +08:00
Dmitry Kurtaev
1f4fdfd599 Untrainable version of Scale layer from Caffe 2018-01-13 10:35:29 +03:00
Dmitry Kurtaev
64a9e92390 Merge pull request #10466 from dkurt:reduce_umat_try_2 
* UMat blobs are wrapped

* Replace getUMat and getMat at OpenCLBackendWrapper
 2018-01-10 21:50:54 +03:00
Alexander Alekhin
7d67d60fb1 cmake(opt): AVX512_SKX 2017-12-29 07:18:11 +00:00
Alexander Alekhin
898ca38257 cmake: AVX512 -> AVX_512F 2017-12-28 15:20:27 +00:00
Arjan van de Ven
2938860b3f Provide a few AVX512 optimized functions for the DNN module 
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
Maksim Shabunin
1033f2b1bd Fixed 3 issues found by static analysis 2017-12-15 17:29:26 +03:00
Dmitry Kurtaev
ef0650179b Fix conv/deconv/fc layers FLOPS computation 2017-12-07 11:42:04 +03:00
Wu Zhiwen
45d11dde57 dnn(ocl4dnn): add fusion support for Power activation and eltwise add 
Signed-off-by: Wu Zhiwen <zhiwen.wu@intel.com>
 2017-11-20 14:58:53 +08:00
Li Peng
8f99083726 Add new layer forward interface 
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
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