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103 Commits

Author SHA1 Message Date
Dmitry Kurtaev
3e027df583 Enable more deep learning tests using Intel's Inference Engine backend 2018-08-27 18:37:35 +03:00
Alexander Alekhin
096366738b dnn(build): fix CV_Assert() usage 2018-08-22 16:04:40 +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
Vadim Pisarevsky
70b893333d Merge pull request #12130 from dkurt:dnn_ie_mvn 2018-08-06 14:37:46 +00:00
Dmitry Kurtaev
be08730cd6 MVN layer using Intel's Inference Engine backend 2018-08-02 17:49:03 +03:00
Dmitry Kurtaev
8e034053af Faster-RCNN from TensorFlow on CPU with Intel's Inference Engine backend 2018-08-01 11:29:58 +03:00
Alexander Alekhin
9137e2d635 Merge pull request #12060 from alalek:dnn_debug_layers 2018-07-26 15:14:32 +00:00
Dmitry Kurtaev
faa6c4e1e1 Faster-RCNN anf RFCN models on CPU using Intel's Inference Engine backend. 
Enable Torch layers tests with Intel's Inference Engine backend.
 2018-07-25 19:04:55 +03:00
Alexander Alekhin
45b5b3c13a dnn: check layer output for NaN/Inf 2018-07-25 16:25:18 +03:00
Dmitry Kurtaev
070393dfda uint8 inputs for deep learning networks 2018-07-19 14:37:33 +03:00
Alexander Alekhin
6c4f618db5 Merge pull request #11104 from asciian:reading_from_stream 2018-07-17 16:24:06 +00:00
Li Peng
f0cadaa6e3 enable concat layer fuse for OCL target 
Signed-off-by: Li Peng <peng.li@intel.com>
 2018-07-17 12:46:16 +08:00
Dmitry Kurtaev
8b5f061dae Replace std::vector<char> to std::vector<uchar> for Java bindings of dnn importers 2018-07-11 18:58:56 +03:00
Dmitry Kurtaev
d57e5406f0 Add readNet* functions which parse models from byte arrays 2018-07-10 11:12:01 +03:00
Dmitry Kurtaev
362d4f5395 Replace convertFp16 from dnn::Net::setInput() 2018-07-09 14:35:54 +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
Dmitry Kurtaev
f25a01bb5a Disable fusion to output layers 2018-07-04 15:53:47 +03:00
Alexander Alekhin
f40231af5d Merge pull request #11851 from pengli:3.4 2018-06-29 15:01:20 +00:00
Li Peng
145eae321e pooling ocl kernel optimization 
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
Dmitry Kurtaev
346871e27f Set output layers names and types for models in DLDT's intermediate representation 2018-06-28 10:21:45 +03:00
Dmitry Kurtaev
40b85c1cd9 Remove undocumented feature to retreive layers outputs by indices 2018-06-20 14:44:21 +03:00
Alexander Alekhin
5fd7cfbcad dnn: add runtime parameter OPENCV_DNN_BACKEND_DEFAULT 
to control DNN_BACKEND_DEFAULT enumeration value behavior
 2018-06-13 19:00:04 +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
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
Dmitry Kurtaev
32bab45f81 Fix Inference Engine graphs with fused output layers 2018-05-31 16:21:08 +03:00
Dmitry Kurtaev
f96f934426 Update Intel's Inference Engine deep learning backend (#11587) 
* Update Intel's Inference Engine deep learning backend

* Remove cpu_extension dependency

* Update Darknet accuracy tests
 2018-05-31 14:05:21 +03:00
Alexander Alekhin
471c17321f improve code quality 
- eliminate rand() calls
- non initialized members/ variables
- unused return values
- missing/useless NULL checks
 2018-05-22 17:08:31 +03:00
Alexander Alekhin
d6279bfff8 fix build warnings 2018-05-17 18:29:21 +03:00
Li Peng
329abb5b64 dnn fp16 support 
Signed-off-by: Li Peng <peng.li@intel.com>
 2018-05-16 22:44:39 +08:00
Tomoaki Teshima
3f5347dd7a work around of the test failure of opencv_test_dnn 
* 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
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) 
* Custom deep learning layers support

* Stack custom deep learning layers
 2018-04-24 14:59:59 +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
97fec07d96 Support YOLOv3 model from Darknet 2018-04-16 18:44:12 +03:00
Vadim Pisarevsky
30175594e9 Merge pull request #11062 from dkurt:dnn_inf_engine_cldnn 2018-04-11 15:06:18 +00:00
Dmitry Kurtaev
4ef6c91583 Fix multiple inputs for models from Intel's Model Optimizer 2018-04-11 13:28:07 +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
Dmitry Kurtaev
2f3a9ba1d4 Update OpenCVDetectInferenceEngine.cmake 2018-03-28 16:34:37 +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
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
f2440ceae6 Update tutorials. A new cv::dnn::readNet function 2018-03-04 20:30:22 +03:00
Alexander Alekhin
a9ebc61f2a dnn(workaround): switch to CPU target if compiled without OpenCL 2018-03-01 12:12:40 +03:00
Maksim Shabunin
92e9d4ec3a Fixed several issues detected by static analysis 2018-02-22 17:11:33 +03:00
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
Dmitry Kurtaev
514e6df460 Refactored deep learning layers fusion 2018-02-13 14:35:58 +03:00