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3 Commits (4f99e5ab37a0394a3b4041e6d03e3fdc4aebcaa4)
| Author | SHA1 | Message | Date |
|---|---|---|---|
Dmitry Kurtaev
|
5df6b4a756
|
Merge pull request #23325 from dkurt:dnn_input_info
Propagate inputs info for ONNX and TFLite models ### Pull Request Readiness Checklist Needed for generic applications such as benchmarking pipelines. So OpenCV can tell about the default input shapes specified in the models. 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 another license that is incompatible with OpenCV - [x] The PR is proposed to the proper branch - [x] There is a reference to the original bug report and related work - [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable Patch to opencv_extra has the same branch name. - [x] The feature is well documented and sample code can be built with the project CMake |
2 years ago |
Alexander Alekhin
|
bdff0949bb |
dnn(tflite): add 3rdparty flatbuffers with pre-generated schema
|
2 years ago |
|
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 |
2 years ago |