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Merge pull request #24039 from dkurt:tflite_test_backends

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TFLite models on different backends (tests and improvements) #24039

### Pull Request Readiness Checklist

* MaxUnpooling with OpenVINO
* Fully connected with transposed inputs/weights with OpenVINO
* Enable backends tests for TFLite (related to https://github.com/opencv/opencv/issues/23992#issuecomment-1640691722)
* Increase existing tests thresholds

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
This commit is contained in:
Dmitry Kurtaev
2023-08-04 11:28:51 +03:00
committed by GitHub
parent 96f23e3da1
commit 4b8aeb1129
12 changed files with 211 additions and 67 deletions
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modules/dnn/test/test_tf_importer.cpp
+2 -2
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@@ -1818,8 +1818,8 @@ TEST_P(Test_TensorFlow_nets, Mask_RCNN)
double iouDiff = (target == DNN_TARGET_OPENCL_FP16 || target == DNN_TARGET_MYRIAD || target == DNN_TARGET_CPU_FP16) ? 0.018 : default_lInf;
if (backend == DNN_BACKEND_INFERENCE_ENGINE_NGRAPH)
{
scoreDiff = std::max(scoreDiff, 0.02);
iouDiff = std::max(iouDiff, 0.009);
scoreDiff = std::max(scoreDiff, 0.06);
iouDiff = std::max(iouDiff, 0.01);
}
normAssertDetections(refDetections, outDetections, "", /*threshold for zero confidence*/1e-5, scoreDiff, iouDiff);