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735 Commits

Author SHA1 Message Date
BALACHANDAR S
aa167434e6 Merge pull request #14252 from balachandarsv:master-mac-openvino-support 
* Mac support for op inference engine

Adding condition to check for mac and add corresponding libraries

* Adding mac support in test cases
 2019-04-04 17:37:45 +03:00
Alexander Alekhin
c300070b8a Merge pull request #14241 from alalek:openvino_2019R1 2019-04-03 19:26:46 +00:00
103yiran
4bb6edf176 Merge pull request #14117 from 103yiran:103yiran-patch-dnn 
* Postpone variable definitions

* dnn: reduce scope of 'Mat image' variable
 2019-04-03 22:13:11 +03:00
Alexander Alekhin
8483801eab dnn: use OpenVINO 2019R1 defines 2019-04-03 15:39:47 +03:00
Dmitry Kurtaev
e3286c9055 Enable 1x1 convolution optimization 2019-04-02 14:05:17 +03:00
zuoshaobo
a34c02a001 add support for tf.add_n operation 2019-04-02 03:20:53 -04:00
Lubov Batanina
7d3d6bc4e2 Merge pull request #13932 from l-bat:MyriadX_master_dldt 
* Fix precision in tests for MyriadX

* Fix ONNX tests

* Add output range in ONNX tests

* Skip tests on Myriad OpenVINO 2018R5

* Add detect MyriadX

* Add detect MyriadX on OpenVINO R5

* Skip tests on Myriad next version of OpenVINO

* dnn(ie): VPU type from environment variable

* dnn(test): validate VPU type

* dnn(test): update DLIE test skip conditions
 2019-03-29 16:42:58 +03:00
Alexander Alekhin
3cd6e3b304 Merge pull request #14166 from dkurt:fix_slim_mobilenet_v2 2019-03-28 14:37:35 +00:00
Alexander Alekhin
e8c20bfae6 dnn: fix support drop for IE<2018R3 
- fix build with IE 2018R3
 2019-03-27 20:36:48 +00:00
Dmitry Kurtaev
9cfd219d70 Fix Mobilenet v2 from TensorFlow slim 2019-03-27 15:10:57 +03:00
Kohei Yoshida
3bcff7f941 Make use of explicit output shape for the de-convolution layer. 
This is relevant to cases where the net is loaded from an ONNX model
containing ConvTranspose layers, which may include the output_shape
attribute.

c.f. https://github.com/onnx/onnx/blob/master/docs/Operators.md#ConvTranspose
 2019-03-26 10:46:09 -04:00
Dmitry Kurtaev
714b38360f Extend LRN layer support with IE backend 2019-03-25 12:53:34 +03:00
zuoshaobo
8b52eabd48 fix the region layer's output anchor size normalization error 2019-03-15 08:41:11 -04:00
Alexander Alekhin
922cd208f7 Merge pull request #13875 from allnes:optimization_fuse 2019-03-07 14:38:59 +00:00
Easton Liu
fcfb29766b Add ability to read thresh and nms_threshold from YOLO layer in YOLOV3 cfg file. 
Currently the thresh is hard-coded to be 0.2 and nms_threshold as 0.4.
 2019-03-07 09:55:48 +08:00
Alexander Nesterov
74574dfae4 Added optimization fuse 2019-03-05 18:12:03 -01:00
Alexander Alekhin
80d37ba698 dnn: fix usage of CV_LOG_VERBOSE macro 2019-03-02 14:49:21 +00:00
Alexander Alekhin
865c29a754 Merge pull request #13892 from dkurt:onnx_upsample_unsqueeze 2019-02-26 10:17:07 +00:00
Alexander Alekhin
f6d3adcf3d Merge pull request #13887 from dkurt:dnn_ie_lrn_bug 2019-02-25 14:26:22 +00:00
Alexander Alekhin
ca4fd1e427 Merge pull request #13884 from dkurt:dnn_drop_ie_r1_r2 2019-02-22 11:21:43 +00:00
Dmitry Kurtaev
20400aa9f7 Import Upsample and Unsqueeze from ONNX 2019-02-21 20:17:28 +03:00
Dmitry Kurtaev
4cbd09c41c Add extra limitations for LRN from Inference Engine backend 2019-02-21 14:20:24 +03:00
Alexander Alekhin
0e70363f4a Merge pull request #13882 from dkurt:fix_13479 2019-02-21 09:38:26 +00:00
Dmitry Kurtaev
ed710eaa1c Make Inference Engine R3 as a minimal supported version 2019-02-21 09:32:26 +03:00
Dmitry Kurtaev
bfd663c281 Add a test for grouped deconvolution from ONNX 2019-02-21 08:54:35 +03:00
Ayush Pandey
5c7fe0fe05 Fix Issue #13479 2019-02-21 08:36:16 +03:00
Dmitry Kurtaev
715f881dda Replace default confidence threshold for dnn detections from -FLT_MAX to 0 2019-02-20 13:09:09 +03:00
Alexander Alekhin
8cedc052ca Merge pull request #13841 from dkurt:dnn_ie_future_3 2019-02-19 14:19:36 +00:00
Dmitry Kurtaev
ca5976e3d4 Fix IE backend considering future changes. 2019-02-18 19:26:04 +03:00
Alexander Alekhin
9d3d5e9d65 Merge pull request #13774 from l-bat:fix-IE-tests 2019-02-15 13:54:24 +00:00
Liubov Batanina
183c0fcab1 Changed condition for resize and lrn layers 2019-02-14 13:11:14 +03:00
Alexander Alekhin
9e7014b59f Merge pull request #13799 from dkurt:dnn_ie_future_2 2019-02-12 14:07:42 +00:00
Dmitry Kurtaev
1606137df2 Read raw floats data from Caffe models 2019-02-11 20:08:17 +03:00
Dmitry Kurtaev
0711dab09d Fix Intel's Inference Engine backend from future. Second try. 2019-02-11 19:47:57 +03:00
klemens
5d9c6723ee spelling fixes 
backport 997b7b18af
 2019-02-11 15:35:10 +03:00
Liubov Batanina
6b4becfd03 Enabled tests on IE backend 2019-02-11 12:39:28 +03:00
Alexander Nesterov
9cbdb48d6d Fix change step 2019-02-07 11:14:20 -01:00
Liubov Batanina
b068d26fad Using IE backend for normalize layer tests 2019-02-07 11:52:27 +03:00
Alexander Alekhin
f67b197d49 Merge pull request #13738 from dkurt:dnn_ie_lock_shared_plugins 2019-02-06 12:09:58 +00:00
Dmitry Kurtaev
bc4e471847 Add a mutex for shared Inference Engine plugins 2019-02-05 19:26:58 +03:00
Alexander Alekhin
eab6744ac7 dnn(ocl): use compile-time LOCAL_SIZE parameter 
instead of get_local_size(0) and dynamic local memory allocation
 2019-02-05 15:51:16 +03:00
Alexander Alekhin
a42bbc9722 Merge pull request #13736 from dkurt:dnn_ie_future 2019-02-01 10:01:39 +00:00
Dmitry Kurtaev
c918ac298c Fix IE tests 2019-01-31 14:14:38 +03:00
Dmitry Kurtaev
ac262f5b5d Clone convolution layer weights only for fusion 2019-01-29 14:29:47 +03:00
Alexander Alekhin
3585522b24 Merge pull request #13692 from dkurt:dnn_do_not_crash_myriad_in_tests 2019-01-28 18:34:20 +00:00
Dmitry Kurtaev
3c3c5ef2b6 Fix a dnn bug with retrieving all the output blobs 2019-01-28 18:48:56 +03:00
Dmitry Kurtaev
ff775b2e54 Remove ASSERT_ANY_THROW checks fpr Myriad plugin and FP32 networks 2019-01-25 20:09:54 +03:00
Alexander Nesterov
97c3bcb1b7 Added fix for other size 2019-01-24 12:51:16 -01:00
Dmitry Kurtaev
f0ddf302b2 Move Inference Engine to new API 2019-01-17 14:28:48 +03:00
Raphael Graf
82c77fa244 dnn: remove malloc.h include 2019-01-10 13:07:36 +01:00
Dmitry Kurtaev
d0504c95f4 Add a text message for Convolution layer's input channels check 2019-01-09 13:10:19 +03:00
Alexander Alekhin
14633bc857 Merge pull request #13497 from dkurt:dnn_torch_bn_train 2018-12-21 14:29:10 +00:00
Dmitry Kurtaev
840c892abd Batch normalization in training phase from Torch 2018-12-21 14:36:55 +03:00
Dmitry Kurtaev
59ce1d80a5 Fix dnn tests for Inference Engine R5 2018-12-21 12:33:30 +03:00
Dmitry Kurtaev
257f60582a Add serialize method for IE net wrapper 
backport 4ba4901ca9
 2018-12-21 05:52:27 +00:00
Alexander Alekhin
bbdc987fc6 dnn: add OpenVINO 2018R5 defines 
https://software.intel.com/en-us/openvino-toolkit
 2018-12-21 05:52:27 +00:00
Alexander Alekhin
a9771078df Merge pull request #13427 from dkurt:dnn_onnx_dynamic_reshape 2018-12-13 11:15:51 +00:00
Dmitry Kurtaev
e71758cfdf Operate with shapes in ONNX models 2018-12-12 18:34:22 +03:00
Dmitry Kurtaev
53f6198f27 Minor fixes in IE backend tests 2018-12-10 20:08:13 +03:00
Dmitry Kurtaev
8422dda2c7 Element-wise subtraction from TensorFlow 2018-12-07 13:38:05 +03:00
Alexander Alekhin
492a072ea8 Merge pull request #13376 from dkurt:hotfix_dnn_ie 2018-12-06 15:09:51 +00:00
Dmitry Kurtaev
3868cb44f1 Exclude Input layer from list of outputs for IE networks 2018-12-06 09:08:50 +03:00
Alexander Alekhin
6fbf6f8bea Merge pull request #13359 from dkurt:dnn_keras_pad_concat 2018-12-05 19:48:58 +00:00
Alexander Alekhin
9ff1c39daa dnn: fixup available backends/targets 2018-12-05 19:19:17 +03:00
Maksim Shabunin
fe459c82e5 Merge pull request #13332 from mshabunin:dnn-backends 
DNN backends registry (#13332)

* Added dnn backends registry

* dnn: process DLIE/FPGA target
 2018-12-05 18:11:45 +03:00
Dmitry Kurtaev
c9e0c77d73 Concat layer from TensorFlow with constant inputs 2018-12-04 19:41:40 +03:00
Dmitry Kurtaev
84ce2cc211 Enable some dnn tests according to the new Intel's Inference Engine release (R4) 2018-11-26 13:02:24 +03:00
Dmitry Kurtaev
2f6f52d644 Fix ONNX's emotion_ferplus model. 
Reduce input size for OpenPose tests
 2018-11-23 19:00:17 +03:00
Alexander Alekhin
eaf39f6b6b Merge pull request #13213 from alalek:fix_format 2018-11-20 14:53:20 +00:00
Alexander Alekhin
d7272f76fb dnn: fix format 2018-11-19 19:33:56 +00:00
Dmitry Kurtaev
0d117312c9 DNN_TARGET_FPGA using Intel's Inference Engine 2018-11-19 11:41:43 +03:00
Christopher Gundler
b58a8729c2 Merge pull request #13131 from Christopher22:add_transposedConv_onnx 
* Add support for ConvTranspose when parsing ONNX.

* Add support for ConvTranspose when parsing ONNX.

* Add test for Deconvolution
 2018-11-16 22:50:40 +03:00
Alexander Alekhin
f2bec05e6d Merge pull request #12913 from dkurt:dnn_fix_ie_hyperparams 2018-11-16 18:36:12 +00:00
Dmitry Kurtaev
b5c54e447c Extra hyperparameters for Intel's Inference Engine layers 2018-11-15 20:06:37 +03:00
Alexander Alekhin
96c71dd3d2 dnn: reduce set of ignored warnings 2018-11-15 13:15:59 +03:00
catree
10b482ff1e Fix code and missing intrin header. Remove useless header. 2018-11-14 19:00:59 +01:00
Dmitry Kurtaev
80265a0815 Fix a bug with OpenVINO backend 2018-11-14 13:42:06 +03:00
Alexander Alekhin
801c943009 fix coverity reports 2018-11-11 13:51:47 +00:00
Alexander Alekhin
0c261acf3a Merge pull request #13065 from dkurt:dnn_update_tf_faster_rcnn 2018-11-08 16:31:39 +00:00
Dmitry Kurtaev
dc9e6d3af8 Update a script to generate text graphs for Faster-RCNN networks from TensorFlow 2018-11-07 18:33:01 +03:00
catree
eebf0dd7c9 Fix integer overflow when accumulating timing values. 2018-11-07 13:04:48 +01:00
Dmitry Kurtaev
a6f9170f10 Add ONNX's padding import 2018-10-31 18:24:05 +03:00
Antonio Borondo
7a3cb2280b Recognize ConvolutionDepthwise as Convolution 2018-10-24 08:37:51 +01:00
Dmitry Kurtaev
365451dab0 Implement getBatchSize for Intel's Inference Engine networks 2018-10-17 14:02:37 +03:00
Alexander Alekhin
113793fee7 Merge pull request #12837 from dkurt:dnn_fix_ie 2018-10-15 19:17:18 +00:00
Alexander Alekhin
f8a27d2603 Merge pull request #12775 from radomsak:radomsak_dnn_fix_caffe_importer_reused_layers 2018-10-15 14:44:23 +00:00
Dmitry Kurtaev
dc3406eed9 Fix Pooling and Convolution layers from Intel's Inference Engine 2018-10-15 16:40:28 +03:00
Adam Radomski
cc3ec5d453 Fix dnn caffe importer extract blobs from reused layers 2018-10-10 10:44:56 +02:00
Lubov Batanina
50811e04f2 Merge pull request #12596 from l-bat:l-bat/shufflenet_onnx 
* Add Shufflenet support in ONNX

* Add test for transpose layer
 2018-10-08 22:18:41 +03:00
Alexander Alekhin
26ba4f3c1d Merge pull request #12754 from alalek:dnn_ocl4dnn_async_expressions 2018-10-08 15:22:24 +00:00
Alexander Alekhin
634dd656d5 dnn: don't use Mat expressions with async UMat functions 2018-10-05 17:09:50 +03:00
Alexander Alekhin
9d02d42afe dnn(ocl4dnn): don't use getUMat() 
especially in CPU only processing
 2018-10-05 15:24:51 +03:00
Alexander Alekhin
eec468fa13 dnn(ocl4dnn): calculate activation expression once 
- to avoid multiple conditional calls via sub_group() functions
 2018-10-02 21:23:41 +00:00
Alexander Alekhin
0f031b6680 dnn(ocl4dnn): drop weights_buf 
- avoid memory access violation during "prefetch" stage
 2018-09-30 20:35:41 +00:00
Alexander Alekhin
fae329a0ca
Merge pull request #12650 from alalek:dnn_ocl4dnn_verification_test 
* dnn(ocl4dnn): update kernel checks

* dnn: workaround for IDLF kernels on Intel iGPU

* dnn(test): remove "skip" check for unstable cases
 2018-09-27 12:54:23 +03:00
Dmitry Kurtaev
24ab751547 Merge pull request #12565 from dkurt:dnn_non_intel_gpu 
* Remove isIntel check from deep learning layers

* Remove fp16->fp32 fallbacks where it's not necessary

* Fix Kernel::run to prevent localsize > globalsize
 2018-09-26 16:27:00 +03:00
Dmitry Kurtaev
c8f3579f93 Fix #12542 (#12603) 
* Fix #12542

* Remove ignore of non-virtual-dtor error
 2018-09-26 16:08:51 +03:00
Dmitry Kurtaev
f8398d80bc add Net::getUnconnectedOutLayersNames method 2018-09-25 18:10:45 +03:00
Dmitry Kurtaev
8ac7b21716 Enable Myriad device for OpenVINO models test 2018-09-18 13:49:24 +03:00
Alexander Alekhin
27a4e370f9 Merge pull request #12559 from dkurt:dnn_remove_usrtype1 2018-09-17 18:13:29 +00:00
Lubov Batanina
43f889ae1f Merge pull request #12519 from l-bat:l-bat/onnx_parser 
Support asymmetric padding in pooling layer (#12519)

* Add Inception_V1 support in ONNX

* Add asymmetric padding in OpenCL and Inference engine

* Refactoring
 2018-09-17 20:26:17 +03:00
Dmitry Kurtaev
7d75526373 Use TorchType enum 2018-09-17 18:55:05 +03:00
Dmitry Kurtaev
a7b3d2581f Replace CV_USRTYPE1 for int64 to CV_32SC2 in Torch importer 2018-09-17 12:31:09 +03:00
Alexander Alekhin
dbfeb8892d Merge pull request #12403 from dkurt:dnn_replace_darknet_reorg 2018-09-13 20:58:11 +00:00
George Mironov
cb5da8983f Rename tensorflow namespace 2018-09-12 21:33:11 +03:00
Dmitry Kurtaev
09fa758725 Replace Darknet's Reorg to permute layer 2018-09-12 18:13:39 +03:00
Vadim Pisarevsky
f4b9acb4db Merge pull request #12497 from tomoaki0705:removeRawSSE 2018-09-12 11:59:44 +00:00
Marat K
38f8fc6c82 Merge pull request #12249 from kopytjuk:feature/region-layer-batch-mode 
Feature/region layer batch mode (#12249)

* Add batch mode for Darknet networks.

Swap variables in test_darknet.

Adapt reorg layer to batch mode.

Adapt region layer.

Add OpenCL implementation.

Remove trailing whitespace.

Bugifx reorg opencl implementation.

Fix bug in OpenCL reorg.

Fix modulo bug.

Fix bug.

Reorg openCL.

Restore reorg layer opencl code.

OpenCl fix.

Work on openCL reorg.

Remove whitespace.

Fix openCL region layer implementation.

Fix bug.

Fix softmax region opencl bug.

Fix opencl bug.

Fix openCL bug.

Update aff_trans.cpp

When the fullAffine parameter is set to false, the estimateRigidTransform function maybe return empty, then the _localAffineEstimate function will be called, but the bug in it will result in incorrect results.

core(libva): support YV12 too

Added to CPU path only.
OpenCL code path still expects NV12 only (according to Intel OpenCL extension)

cmake: allow to specify own libva paths

via CMake:
- `-DVA_LIBRARIES=/opt/intel/mediasdk/lib64/libva.so.2\;/opt/intel/mediasdk/lib64/libva-drm.so.2`

android: NDK17 support

tested with NDK 17b (17.1.4828580)

Enable more deep learning tests using Intel's Inference Engine backend

ts: don't pass NULL for std::string() constructor

openvino: use 2018R3 defines

experimental version++

OpenCV version++

OpenCV 3.4.3

OpenCV version '-openvino'

openvino: use 2018R3 defines

Fixed windows build with InferenceEngine

dnn: fix variance setting bug for PriorBoxLayer

- The size of second channel should be size[2] of output tensor,
- The Scalar should be {variance[0], variance[0], variance[0], variance[0]}
  for _variance.size() == 1 case.

Signed-off-by: Wu Zhiwen <zhiwen.wu@intel.com>

Fix lifetime of networks which are loaded from Model Optimizer IRs

Adds a small note describing BUILD_opencv_world (#12332)

* Added a mall note describing BUILD_opencv_world cmake option to the Installation in Windows tutorial.

* Made slight changes in BUILD_opencv_world documentation.

* Update windows_install.markdown

improved grammar

Update opengl_interop.cpp

resolves #12307

java: fix LIST_GET macro

fix typo

Added option to fail on missing testdata

Fixed that object_detection.py does not work in python3.

cleanup: IPP Async (IPP_A)

except header file with conversion routines (will be removed in OpenCV 4.0)

imgcodecs: add null pointer check

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

countNonZero function reworked to use wide universal intrinsics instead of SSE2 intrinsics

resolve #5788

imgcodecs(webp): multiple fixes

- don't reallocate passed 'img' (test fixed - must use IMREAD_UNCHANGED / IMREAD_ANYCOLOR)
- avoid memory DDOS
- avoid reading of whole file during header processing
- avoid data access after allocated buffer during header processing (missing checks)
- use WebPFree() to free allocated buffers (libwebp >= 0.5.0)
- drop unused & undefined `.close()` method
- added checks for channels >= 5 in encoder

ml: fix adjusting K in KNearest (#12358)

dnn(perf): fix and merge Convolution tests

- OpenCL tests didn't run any OpenCL kernels
- use real configuration from existed models (the first 100 cases)
- batch size = 1

dnn(test): use dnnBackendsAndTargets() param generator

Bit-exact resize reworked to use wide intrinsics (#12038)

* Bit-exact resize reworked to use wide intrinsics

* Reworked bit-exact resize row data loading

* Added bit-exact resize row data loaders for SIMD256 and SIMD512

* Fixed type punned pointer dereferencing warning

* Reworked loading of source data for SIMD256 and SIMD512 bit-exact resize

Bit-exact GaussianBlur reworked to use wide intrinsics (#12073)

* Bit-exact GaussianBlur reworked to use wide intrinsics

* Added v_mul_hi universal intrinsic

* Removed custom SSE2 branch from bit-exact GaussianBlur

* Removed loop unrolling for gaussianBlur horizontal smoothing

doc: fix English gramma in tutorial out-of-focus-deblur filter (#12214)

* doc: fix English gramma in tutorial out-of-focus-deblur filter

* Update out_of_focus_deblur_filter.markdown

slightly modified one sentence

doc: add new tutorial motion deblur filter (#12215)

* doc: add new tutorial motion deblur filter

* Update motion_deblur_filter.markdown

a few minor changes

Replace Slice layer to Crop in Faster-RCNN networks from Caffe

js: use generated list of OpenCV headers

- replaces hand-written list

imgcodecs(webp): use safe cast to size_t on Win32

* Put Version status back to -dev.

follow the common codestyle

Exclude some target engines.

Refactor formulas.

Refactor code.

* Remove unused variable.

* Remove inference engine check for yolov2.

* Alter darknet batch tests to test with two different images.

* Add yolov3 second image GT.

* Fix bug.

* Fix bug.

* Add second test.

* Remove comment.

* Add NMS on network level.

* Add helper files to dev.

* syntax fix.

* Fix OD sample.

Fix sample dnn object detection.

Fix NMS boxes bug.

remove trailing whitespace.

Remove debug function.

Change thresholds for opencl tests.

* Adapt score diff and iou diff.

* Alter iouDiffs.

* Add debug messages.

* Adapt iouDiff.

* Fix tests
 2018-09-12 13:29:43 +03:00
Tomoaki Teshima
88b04c3cd4 remove raw SSE2 implementation 2018-09-11 21:28:18 +09:00
Lubov Batanina
0c8590027f Merge pull request #12071 from l-bat/l-bat:onnx_parser 
* Add Squeezenet support in ONNX

* Add AlexNet support in ONNX

* Add Googlenet support in ONNX

* Add CaffeNet and RCNN support in ONNX

* Add VGG16 and VGG16 with batch normalization support in ONNX

* Add RCNN, ZFNet, ResNet18v1 and ResNet50v1 support in ONNX

* Add ResNet101_DUC_HDC

* Add Tiny Yolov2

* Add CNN_MNIST, MobileNetv2 and LResNet100 support in ONNX

* Add ONNX models for emotion recognition

* Add DenseNet121 support in ONNX

* Add Inception v1 support in ONNX

* Refactoring

* Fix tests

* Fix tests

* Skip unstable test

* Modify Reshape operation
 2018-09-10 21:07:51 +03:00
Hamdi Sahloul
a39e0daacf Utilize CV_UNUSED macro 2018-09-07 20:33:52 +09:00
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
27a6be8763 Fix #12407 2018-09-04 17:48:52 +03:00
Dmitry Kurtaev
c7cf8fb35c Import SSDs from TensorFlow by training config (#12188) 
* Remove TensorFlow and protobuf dependencies from object detection scripts

* Create text graphs for TensorFlow object detection networks from sample
 2018-09-03 17:08:40 +03:00
Wu Zhiwen
a11d944f51 dnn: Remove a duplicated code snippet for flatten layer 
Signed-off-by: Wu Zhiwen <zhiwen.wu@intel.com>
 2018-09-03 10:57:33 +08:00
Vadim Pisarevsky
f9c8bb40b1 Merge pull request #12350 from dkurt:dnn_ie_caffe_faster_rcnn 2018-08-31 14:57:14 +00:00
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
ea43e28a37 Replace Slice layer to Crop in Faster-RCNN networks from Caffe 2018-08-30 17:57:08 +03:00
Alexander Alekhin
596a0125ed Merge pull request #12336 from dkurt:dnn_ie_fix_net_lifetime 2018-08-30 11:09:18 +00:00
Wu Zhiwen
ca51bbb7ff dnn: fix variance setting bug for PriorBoxLayer 
- The size of second channel should be size[2] of output tensor,
- The Scalar should be {variance[0], variance[0], variance[0], variance[0]}
  for _variance.size() == 1 case.

Signed-off-by: Wu Zhiwen <zhiwen.wu@intel.com>
 2018-08-30 11:05:38 +08:00
Dmitry Kurtaev
4062ef5fcb Fix lifetime of networks which are loaded from Model Optimizer IRs 2018-08-29 13:34:26 +03:00
Dmitry Kurtaev
3e027df583 Enable more deep learning tests using Intel's Inference Engine backend 2018-08-27 18:37:35 +03:00
Dmitry Kurtaev
472b71ecef Merge pull request #12243 from dkurt:dnn_tf_mask_rcnn 
* Support Mask-RCNN from TensorFlow

* Fix a sample
 2018-08-24 14:47:32 +03:00
Alexander Alekhin
096366738b dnn(build): fix CV_Assert() usage 2018-08-22 16:04:40 +03:00
Alexander Alekhin
c9faa09d55 Merge pull request #12266 from mshabunin:fix-windows-ie-build 2018-08-21 13:07:44 +00:00
Maksim Shabunin
808c89adc1 Fixed windows build with InferenceEngine 2018-08-21 14:59:13 +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
Alexander Alekhin
b9b66ca437 Merge pull request #12205 from dkurt:dnn_update_tf_face_detection 2018-08-14 10:53:12 +00:00
Dmitry Kurtaev
f056c0f137 UINT8 face detection network using Intel's Inference Engine backend 2018-08-13 18:38:47 +03:00
Alexander Alekhin
615883977f Merge pull request #12128 from dkurt:dnn_fix_12066 2018-08-10 14:14:16 +00:00
Vadim Pisarevsky
7c8ab271fc Merge pull request #12125 from dkurt:dnn_mobilenet_ppn 2018-08-06 14:40:50 +00:00
Vadim Pisarevsky
70b893333d Merge pull request #12130 from dkurt:dnn_ie_mvn 2018-08-06 14:37:46 +00:00
Dmitry Kurtaev
449696f1e5 Enable reshape-as-shape layer from TensorFlow 2018-08-06 17:35:06 +03:00
Vadim Pisarevsky
e0c93bcf6c Merge pull request #12082 from dkurt:dnn_ie_faster_rcnn 2018-08-06 14:28:58 +00:00
Alexander Alekhin
ac4a6aad15 Merge pull request #12050 from alalek:dnn_ocl_avoid_memory_access_violation 2018-08-05 14:47:01 +00:00
Dmitry Kurtaev
be08730cd6 MVN layer using Intel's Inference Engine backend 2018-08-02 17:49:03 +03:00
Dmitry Kurtaev
4fb086d6c3 MobileNet-SSD v1 from TensorFlow with shared convolution weights 2018-08-01 16:16:48 +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
814ebe39ae Merge pull request #12113 from dkurt:dnn_fix_ssd_on_myriad 2018-07-31 14:55:18 +00:00
Maksim Shabunin
7cf52de47e dnn: modified IE search, R2 compatibility fixed 2018-07-31 14:48:06 +03:00
Dmitry Kurtaev
ed0e79cb61 Add missing parameter to DetectionOutput layer from Intel's Inference Engine 2018-07-31 11:37:45 +03:00
Maksim Shabunin
fb1f12021b Fixed build with latest IE version 2018-07-27 19:56:35 +03:00
Alexander Alekhin
b597c87bed dnn(ocl): avoid memory access violation 2018-07-27 15:35:11 +03:00
Alexander Alekhin
9137e2d635 Merge pull request #12060 from alalek:dnn_debug_layers 2018-07-26 15:14:32 +00:00
Alexander Alekhin
c37d1a53b5 Merge pull request #12025 from Triplesalt:tfimport-relu 2018-07-26 15:08:05 +00:00
Triplesalt
9eb79926df Allow a different input order for Mul+Maximum. 
Squashed : ReLU operand order tests.
 2018-07-26 14:19:11 +02:00
Vadim Pisarevsky
fa466b022d Merge pull request #12052 from dkurt:dnn_ie_torch_tests 2018-07-26 09:09:35 +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
Maksim Shabunin
cbb1e867e5 More issues found by static analysis 2018-07-24 16:04:42 +03:00
Alexander Alekhin
8de08e0463 Merge pull request #12021 from dkurt:dnn_ie_tf_ssd 2018-07-24 13:03:41 +00:00
Alexander Alekhin
236f383969 Merge pull request #12037 from dkurt:test_openvino_models 2018-07-24 12:34:04 +00:00
Dmitry Kurtaev
28e08ae0bd Add a sample which tests OpenVINO models 2018-07-23 19:08:51 +03:00
Maksim Shabunin
e0603bb45f Fixed several issues found by static analysis tools 2018-07-23 17:22:47 +03:00
Alexander Alekhin
ee743afebe dnn(ocl): don't use getUMat() for long live objects 2018-07-20 17:53:55 +03:00
Maksim Shabunin
a4060e15a4 dnn, IE backend: updated to match new interface 2018-07-19 19:22:23 +03:00
Dmitry Kurtaev
c213a3823e Run entire SSDs from TensorFlow using Intel's Inference Engine 2018-07-19 17:05:56 +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
Maksim Shabunin
1da46fe6fb Fixed issues found by static analysis (mostly DBZ) 2018-07-17 16:14:54 +03:00
Alexander Alekhin
78d07e841d Merge pull request #11959 from pengli:3.4 2018-07-17 11:20:02 +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
Alexander Alekhin
c9439476da Merge pull request #11970 from dkurt:dnn_enable_tf_tests 2018-07-16 15:51:27 +00:00
Alexander Alekhin
d6c669f5cf Merge pull request #11963 from dkurt:dnn_cl_fix_matmul 2018-07-16 11:10:32 +00:00
Dmitry Kurtaev
6eb8faea85 Enable TensorFlow networks tests for different backends and targets 2018-07-13 19:58:56 +03:00
Dmitry Kurtaev
de6f0a537d Fix fully-connected layer in case of number of rows less than 4 2018-07-13 16:35:37 +03:00
Dmitry Kurtaev
dcc1beb1f8 Clip kernel for OpenCL PriorBox layer 2018-07-13 14:49:13 +03:00
Alexander Alekhin
2508f7f971 dnn(ocl): fix wrong usage of stalled .getMat() pointers 
Temporary object lifetime must be greater than pointer usage.
 2018-07-11 19:11:36 +03:00
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
Alexander Alekhin
999aba3807 Merge pull request #11936 from berak:dnn_shufflelayer_name 2018-07-11 12:01:31 +00:00
Li Peng
4c5a86828a Fix gemmlike convolution input reading 
use vload3 for half3 or float3 input vector reading,
also check read position to see if it exceed input width

Signed-off-by: Li Peng <peng.li@intel.com>
 2018-07-11 15:25:21 +08:00
berak
a7b502f04a dnn: preserve name, type strings for ShuffleLayer 2018-07-11 08:19:23 +02:00
Dmitry Kurtaev
d57e5406f0 Add readNet* functions which parse models from byte arrays 2018-07-10 11:12:01 +03:00
Alexander Alekhin
7fe0727930 Merge pull request #11924 from alalek:dnn_ocl_fix_max_pool_forward 2018-07-09 16:25:34 +00:00
Alexander Alekhin
b6255ab9e7 dnn(ocl4dnn): fix args for 'max_pool_forward' kernel 2018-07-09 18:02:20 +03:00
Alexander Alekhin
e2b5d11290 dnn: allow to use external protobuf 
"custom layers" feature will not work properly in these builds.
 2018-07-09 17:28:45 +03:00
Dmitry Kurtaev
362d4f5395 Replace convertFp16 from dnn::Net::setInput() 2018-07-09 14:35:54 +03:00
asciian
61d8719b8d Reading net from std::ifstream 
Remove some assertions

Replace std::ifstream to std::istream

Add test for new importer

Remove constructor to load file

Rename cfgStream and darknetModelStream to ifile

Add error notification to inform pathname to user

Use FileStorage instead of std::istream

Use FileNode instead of FileStorage

Fix typo
 2018-07-09 10:02:05 +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
0bb2c115aa Merge pull request #11719 from alalek:update_autobuffer_api 2018-07-05 10:01:15 +00:00
Alexander Alekhin
ccd2370bb7 Merge pull request #11890 from dkurt:keras_resize_nearest 2018-07-05 09:57:24 +00:00
Alexander Alekhin
b09a4a98d4 opencv: Use cv::AutoBuffer<>::data() 2018-07-04 19:11:29 +03:00
Dmitry Kurtaev
f25a01bb5a Disable fusion to output layers 2018-07-04 15:53:47 +03:00
Dmitry Kurtaev
36288eebe7 Nearest neighbor resize from Keras 2018-07-04 11:53:24 +03:00
Dmitry Kurtaev
7ed5d85f25 Add Reshape layer tests 2018-07-03 08:26:43 +03:00
Alexander Alekhin
9be3f7d41a Merge pull request #11854 from dkurt:dnn_tf_data_layouts_v2 2018-06-29 15:02:22 +00:00
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
d971678add Add a planar data layout tracking for TensorFlow importer 2018-06-29 09:50:14 +03:00
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
dbeb4a11be Parse strides and convolution kernel shapes considering data layout 2018-06-26 16:18:21 +03:00
Vadim Pisarevsky
e87425f047 Merge pull request #11835 from dkurt:dnn_tf_two_inputs 2018-06-26 12:12:24 +00:00
Dmitry Kurtaev
9510551c63 Multiple inputs for TensorFlow models 2018-06-26 14:03:59 +03:00
Vadim Pisarevsky
b80c7bca0d Merge pull request #11826 from dkurt:dnn_tf_data_layouts 2018-06-26 06:36:27 +00:00
Dmitry Kurtaev
715f40a48d Use layers consumers to predict data layout 2018-06-25 18:25:40 +03:00
Li, Peng
ab8022f74e update convolution opencl kernels in dnn module (#11762) 
* optimize ocl kernel enqueue in fc layer

Signed-off-by: Li Peng <peng.li@intel.com>

* use CV_LOG_INFO in convolution auto tuning

Signed-off-by: Li Peng <peng.li@intel.com>

* update convolution IDLF kernel

extend parameter tuning range, also cleanup
ocl kernel implementation

Signed-off-by: Li Peng <peng.li@intel.com>

* update in-memory convolution cache config

fp16 and fp32 cache config are stored separately

Signed-off-by: Li Peng <peng.li@intel.com>
 2018-06-25 17:06:18 +03:00
Dmitry Kurtaev
e8e9d1d021 Implement Interp layer using Resize layer 2018-06-22 19:26:47 +03:00
Alexander Alekhin
1894f1a37f Merge pull request #11773 from alalek:dnn_ocl_update_force_tuning_flag 2018-06-22 05:23:55 +00:00
Alexander Alekhin
50c607d206 dnn(ocl): fix external / predefined builtin configuration behavior 
OPENCV_OCL4DNN_FORCE_AUTO_TUNING should ignore existed configuration from:
- builtin predefined configurations (for Intel OpenCL iGPUs)
- external configuration (via OPENCV_OCL4DNN_CONFIG_PATH)

Prefer external configuration over builtin.
 2018-06-21 20:59:03 +03:00