Commit Graph
4 Commits
Author SHA1 Message Date
Alexander Smorkalov 7b1a5fb3de Migrate Android Face Detection sample to DNN. 2023-11-29 11:02:44 +03:00
andrewerf b44cb33d2f Merge pull request #21066 from andrewerf:21052-openvino-native-onnx
Native ONNX to Inference Engine backend #21066

Resolves #21052

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or other license that is incompatible with OpenCV
- [x] The PR is proposed to proper branch
- [x] There is reference to original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
- [ ] The feature is well documented and sample code can be built with the project CMake
2023-10-20 11:49:27 +03:00
Dmitry Kurtaev 76350cd30f Merge pull request #23161 from dkurt:dnn_tflite
TFLite models importer

* initial commit

* Refactor TFLiteImporter

* Better FlatBuffers detection

* Add permute before 4D->3D reshape

* Track layers layout

* TFLite Convolution2DTransposeBias layer

* Skip TFLite tests without FlatBuffers

* Fix check of FlatBuffers in tests. Add readNetFromTFLite from buffer

* TFLite Max Unpooling test

* Add skip for TFLite unpooling test

* Revert DW convolution workaround

* Fix ObjC bindings

* Better errors handling

* Regenerate TFLite schema using flatc

* dnn(tflite): more checks, better logging

* Checks for unimplemented fusion. Fix tests
2023-02-13 14:00:20 +00:00
Alexander Alekhin a80af177b6 dnn: split dnn.cpp code
base commit: 19926e2979
original dnn.cpp content: https://github.com/opencv/opencv/blame/19926e2979ef049a89dd029e2231555db40c2776/modules/dnn/src/dnn.cpp
2022-03-08 19:22:46 +00:00