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38 Commits

Author SHA1 Message Date
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
b5c54e447c Extra hyperparameters for Intel's Inference Engine layers 2018-11-15 20:06:37 +03:00
Adam Radomski
70177143a7 Added test caffe importer layers sharing weights 2018-10-15 11:42:26 +02:00
Dmitry Kurtaev
58ac3e09da Change default value of crop argument of blobFromImage from true to false 2018-09-12 19:02:58 +03:00
Vadim Pisarevsky
54279523a3 Merge pull request #12437 from vpisarev:avx2_fixes 
* trying to fix the custom AVX2 builder test failures (false alarms)

* fixed compile error with CPU_BASELINE=AVX2 on x86; raised tolerance thresholds in a couple of tests

* fixed compile error with CPU_BASELINE=AVX2 on x86; raised tolerance thresholds in a couple of tests

* fixed compile error with CPU_BASELINE=AVX2 on x86; raised tolerance thresholds in a couple of tests

* seemingly disabled false alarm warning in surf.cpp; increased tolerance thresholds in the tests for SolvePnP and in DNN/ENet
 2018-09-06 18:56:55 +03:00
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
Dmitry Kurtaev
3e027df583 Enable more deep learning tests using Intel's Inference Engine backend 2018-08-27 18:37:35 +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
Alexander Alekhin
452fa3011c dnn(test): drop CV_ENUM for DNNBackend / DNNTarget 2018-07-10 15:12:01 +03:00
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
Li Peng
1b517a45ae add fp16 accuracy and perf test 
Signed-off-by: Li Peng <peng.li@intel.com>
 2018-05-16 22:45:07 +08:00
Dmitry Kurtaev
3b4a292ca9 Let switch CPU/OpenCL targets for models from Intel's Model Optimizer 2018-04-19 10:23:57 +03:00
Alexander Alekhin
ee90a6cbde dnn(test): update error tolerance for RCNN/RFCN tests 2018-04-16 14:24:41 +03:00
Dmitry Kurtaev
0a61ebdd66 Replace DNNTarget and DNNBackend in tests 2018-03-07 12:59:38 +03:00
Dmitry Kurtaev
e1c3237532 Parametric OpenCL deep learning tests 2018-03-05 20:53:18 +03:00
Li Peng
e7d35d51fa Fix for opencv face detector ocl test 
Signed-off-by: Li Peng <peng.li@intel.com>
 2018-02-22 23:37:54 +08:00
Alexander Alekhin
c973aaabc5 Merge pull request #10787 from dkurt:dnn_tutorial_face_detection 2018-02-06 14:37:09 +00:00
Dmitry Kurtaev
8817907647 Test for FP16 version of OpenCV face detection network 2018-02-06 13:16:07 +03:00
Alexander Alekhin
4a297a2443 ts: refactor OpenCV tests 
- removed tr1 usage (dropped in C++17)
- moved includes of vector/map/iostream/limits into ts.hpp
- require opencv_test + anonymous namespace (added compile check)
- fixed norm() usage (must be from cvtest::norm for checks) and other conflict functions
- added missing license headers
 2018-02-03 19:39:47 +00:00
Dmitry Kurtaev
ae2e4af4a1 Faster-RCNN and RFCN tests 
https://github.com/rbgirshick/py-faster-rcnn
https://github.com/YuwenXiong/py-R-FCN
 2018-01-30 13:17:35 +03:00
Dmitry Kurtaev
a3d74704e5 OpenCV face detection network test 2018-01-23 09:27:58 +03:00
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
Li Peng
a47fbd2610 Add ocl accuracy test for a few dnn nets 
They are alexnet, mobilenet-ssd, resnet50, squeezeNet_v1_1,
yolo and fast_neural_style.

Signed-off-by: Li Peng <peng.li@intel.com>
 2017-11-27 23:33:21 +08:00
Alexander Alekhin
107582c767 Merge pull request #9996 from dkurt:dnn_multiple_inputs 2017-11-23 18:22:37 +00:00
David Geldreich
f723cede2e add loading TensorFlow/Caffe net from memory buffer 
add a corresponding test
 2017-11-20 16:28:22 +01:00
Dmitry Kurtaev
20a2dc6ac5 Fix multiple inputs models from Caffe. 
Fixed Concat optimization.
 2017-11-02 18:55:08 +03:00
Dmitry Kurtaev
03cefa7bfe Set zero confidences in case of no detections 2017-10-30 10:17:57 +03:00
Dmitry Kurtaev
b903ff8992 Ceil mode from experimental version of Caffe, https://github.com/BVLC/caffe/pull/3057 2017-10-18 14:04:53 +03:00
Dmitry Kurtaev
e268606e26 Grayscale colorization model (https://github.com/richzhang/colorization) test. 2017-10-06 09:33:41 +03:00
jrobble
c67ad49378 Set swapRB to false in Caffe tests and examples. 2017-09-22 09:58:48 -04:00
Vadim Pisarevsky
f7df5dd32c Merge pull request #9305 from dkurt:public_dnn_importer_is_deprecated 2017-09-18 09:35:35 +00:00
Dmitry Kurtaev
bd8e6b7e14 Make external cv::dnn::Importer usage is deprecated 2017-09-18 08:52:36 +03:00
Dmitry Kurtaev
8646d5fb84 FP16 Caffe models import and export 2017-09-15 18:06:34 +03:00
Aleksandr Rybnikov
d3c14ce3ea Added tests for ResNet-50 and SqueezeNet v1.1 2017-07-04 12:19:27 +03:00
Alexander Alekhin
93729784bb dnn: move module from opencv_contrib 
e6f63c7a38/modules/dnn
 2017-06-26 13:41:51 +03:00