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Commit Graph

15 Commits (3289a0aff907e859d52679ffa746076a37df15bb)

Author	SHA1	Message	Date
Dmitry Kurtaev	adc1ef9308	Fix uint8 input data for Async mode of dnn	6 years ago
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	6 years ago
Dmitry Kurtaev	3c3c5ef2b6	Fix a dnn bug with retrieving all the output blobs	6 years ago
Maksim Shabunin	fe459c82e5	Merge pull request #13332 from mshabunin:dnn-backends ... DNN backends registry (#13332) * Added dnn backends registry * dnn: process DLIE/FPGA target	6 years ago
Dmitry Kurtaev	0d117312c9	DNN_TARGET_FPGA using Intel's Inference Engine	6 years ago
Alexander Alekhin	96c71dd3d2	dnn: reduce set of ignored warnings	6 years ago
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	6 years ago
Dmitry Kurtaev	070393dfda	uint8 inputs for deep learning networks	6 years ago
Dmitry Kurtaev	b781ac7346	Make Intel's Inference Engine backend is default if no preferable backend is specified.	7 years ago
Dmitry Kurtaev	4ec456f0a0	Custom layers for deep learning networks (#11129) ... * Custom deep learning layers support * Stack custom deep learning layers	7 years ago
Dmitry Kurtaev	f2440ceae6	Update tutorials. A new cv::dnn::readNet function	7 years ago
Rémi Ratajczak	b67523550f	dnn : Added an imagesFromBlob method to the dnn module (#10607) ... * Added the imagesFromBlob method to the dnn module. * Rewritten imagesFromBlob based on first dkurt comments * Updated code with getPlane() * Modify comment of imagesFromBlob() in dnn module * modified comments, removed useless assertions & added OutputArrayOfArray * replaced tabs with whitespaces & put vectorOfChannels instantiation outside the loop * Changed pre-commit.sample to pre-commit in .git/hooks/ * Added a test for imagesFromBlob in test_misc.cpp (dnn) * Changed nbOfImages, robustified test with cv::randu, modified assertion	7 years ago
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	7 years ago
Dmitry Kurtaev	6a395d88ff	dnn::blobFromImage with OutputArray	7 years ago
Vladislav Sovrasov	5bf39ceb5d	dnn: handle 4-channel images in blobFromImage (#9944)	7 years ago