Commit Graph

107 Commits

Author SHA1 Message Date
Alexander Alekhin
ebef84e9ea pre: OpenCV 3.4.16 (version++) 2021-10-04 20:47:07 +00:00
Alexander Alekhin
43940f7ffc pre: OpenCV 3.4.15 (version++) 2021-06-07 20:10:34 +00:00
Paul Jurczak
ff60abb575
Merge pull request #20080 from pauljurczak:patch-3
* Update dnn.hpp

getPerfProfile is not supported by the CUDA backend, see https://github.com/opencv/opencv/issues/20077

* dnn.hpp: fix doxygen formatting
2021-06-02 19:15:52 +00:00
Alexander Alekhin
a123c48d4d pre: OpenCV 3.4.14 (version++) 2021-03-02 20:47:29 +00:00
Alexander Alekhin
9485113923 pre: OpenCV 3.4.13 (version++) 2020-11-17 21:50:30 +00:00
Sergey Slashchinin
32e7ef8a3d Add fixes and tests for different layers 2020-11-17 13:39:32 +03:00
Alexander Alekhin
50ff40d684 pre: OpenCV 3.4.12 (version++) 2020-09-06 22:26:32 +00:00
Alexander Alekhin
a43e3bebe6 pre: OpenCV 3.4.11 (version++) 2020-06-08 18:46:27 +00:00
Pavel Rojtberg
66cf55ea1f dnn: expose only float variant of NMSBoxes for bindings
the float variant was always shadowed by the int version as
Rect2d is implicitly convertible to Rect.
This swaps things which is fine, as the vector of boxes was always
copied and the computation was done in double.
2020-03-19 12:36:35 +01:00
Alexander Alekhin
db95aec4a7 dnn(ie): switch to nGraph backend by default 2020-03-10 14:33:22 +03:00
Alexander Alekhin
01048e5603
Merge pull request #16616 from alalek:dnn_fix_input_shape
* dnn: fix processing of input shapes

- importer: avoid using of .setInput() => .setInputShape()
- setInput: shape limitation check (partial)

* dnn(test): test .setInput() in readNet()
2020-02-21 22:39:54 +03:00
Alexander Alekhin
5429b1f5ff Merge pull request #16223 from l-bat:lip_jppnet 2020-01-27 19:17:43 +00:00
Liubov Batanina
4a19ac5aca Move instruction 2020-01-27 16:18:32 +03:00
Julien
886220b9be Merge pull request #16273 from JulienMaille:wrapper_available_target
* add a wrapper for getAvailableTargets

* add java wrapper on Target enum
2020-01-17 19:24:37 +03:00
antalzsiroscandid
aa80f754f4 dnn: reading IR models from buffer 2019-12-18 15:31:08 +01:00
Lubov Batanina
7523c777c5 Merge pull request #15537 from l-bat:ngraph
* Support nGraph

* Fix resize
2019-12-02 16:16:06 +03:00
Alexander Alekhin
70dfae31a2 experimental version++ 2019-09-02 14:17:36 +03:00
luz.paz
fcc7d8dd4e Fix modules/ typos
Found using `codespell -q 3 -S ./3rdparty -L activ,amin,ang,atleast,childs,dof,endwhile,halfs,hist,iff,nd,od,uint`

backporting of commit: ec43292e1e
2019-08-16 17:34:29 +03:00
Lubov Batanina
12fdaf895e Merge pull request #15057 from l-bat:fix_vizualizer
* Fix dumpToFile

* Add test

* Fix test
2019-07-18 18:41:08 +03:00
Alexander Alekhin
f5ddaef46b experimental version++ 2019-06-21 16:57:17 +03:00
Alexander Alekhin
6d916c5bb4 Merge pull request #14440 from alalek:async_array 2019-06-08 20:57:15 +00:00
Dmitry Kurtaev
26e426adb1 StridedSlice from TensorFlow 2019-05-22 12:45:52 +03:00
Alexander Alekhin
132253c9f3 dnn: use AsyncArray 2019-05-18 19:32:23 +00:00
Kohei Yoshida
7b4aefedea Add support for loading ONNX model from in-memory buffer. 2019-05-16 11:26:20 -04:00
Dmitry Kurtaev
a5c92c2029 Merge pull request #13694 from dkurt:dnn_ie_async
Asynchronous API from Intel's Inference Engine (#13694)

* Add forwardAsync for asynchronous mode from Intel's Inference Engine

* Python test for forwardAsync

* Replace Future_Mat to AsyncMat

* Shadow AsyncMat

* Isolate InferRequest callback

* Manage exceptions in Async API of IE
2019-04-19 21:01:19 +03:00
Alexander Alekhin
3902694075 static scans: preserve namespace name 2019-04-16 06:49:47 +00:00
Lubov Batanina
60a841c797 Merge pull request #14255 from l-bat:networks_visualization
* Add networks visualization

* Disable CXX11

* Fixed multy inputs support

* Added output shapes

* Added color for DLIE/CPU

* Fixed graph colors
2019-04-12 19:31:07 +03:00
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
Dmitry Kurtaev
840c892abd Batch normalization in training phase from Torch 2018-12-21 14:36:55 +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
0d117312c9 DNN_TARGET_FPGA using Intel's Inference Engine 2018-11-19 11:41:43 +03:00
Alexander Alekhin
dd3398416b experimental version++ 2018-11-17 10:22:17 +00:00
Alexander Alekhin
96c71dd3d2 dnn: reduce set of ignored warnings 2018-11-15 13:15:59 +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
Dmitry Kurtaev
58ac3e09da Change default value of crop argument of blobFromImage from true to false 2018-09-12 19:02:58 +03:00
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
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
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
Alexander Alekhin
b38c50b3d0 OpenCV 3.4.3 2018-08-28 15:58:21 +03:00
berak
21f3987d53 python: add support for NMSBoxes 2018-08-25 08:44:45 +02:00
Alexander Alekhin
781721ca50 experimental version++ 2018-08-14 14:10:37 +03:00
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
Dmitry Kurtaev
070393dfda uint8 inputs for deep learning networks 2018-07-19 14:37:33 +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
Dmitry Kurtaev
d57e5406f0 Add readNet* functions which parse models from byte arrays 2018-07-10 11:12:01 +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
Alexander Alekhin
ab11b17d4b experimental version++ 2018-06-10 10:20:38 +03:00