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@dkurt dkurt commented Mar 25, 2023

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@dkurt dkurt force-pushed the dnn_tflite_quant branch from c7a30cf to bdbd6c5 Compare April 12, 2023 11:10
@dkurt dkurt marked this pull request as ready for review April 13, 2023 07:10
@dkurt dkurt force-pushed the dnn_tflite_quant branch from bdbd6c5 to 3d708ec Compare April 13, 2023 08:12
@asmorkalov asmorkalov merged commit e062c6d into opencv:4.x Apr 24, 2023
asmorkalov pushed a commit to opencv/opencv that referenced this pull request Apr 24, 2023
Import and inference INT8 quantized TFLite model #23409

### Pull Request Readiness Checklist

* Support quantized TFLite models
* Enable fused activations (FP32, INT8)

**Merge with extra**: opencv/opencv_extra#1048

![res](https://user-images.githubusercontent.com/25801568/231433201-566b4bd6-ccff-462c-9e74-adbdcdf3648b.png)

on the image, green boxes are from TFLite and red boxes from OpenCV

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
@dkurt dkurt deleted the dnn_tflite_quant branch April 24, 2023 10:45
@asmorkalov asmorkalov mentioned this pull request May 31, 2023
thewoz pushed a commit to thewoz/opencv that referenced this pull request Jan 4, 2024
Import and inference INT8 quantized TFLite model opencv#23409

### Pull Request Readiness Checklist

* Support quantized TFLite models
* Enable fused activations (FP32, INT8)

**Merge with extra**: opencv/opencv_extra#1048

![res](https://user-images.githubusercontent.com/25801568/231433201-566b4bd6-ccff-462c-9e74-adbdcdf3648b.png)

on the image, green boxes are from TFLite and red boxes from OpenCV

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
thewoz pushed a commit to thewoz/opencv that referenced this pull request May 29, 2024
Import and inference INT8 quantized TFLite model opencv#23409

### Pull Request Readiness Checklist

* Support quantized TFLite models
* Enable fused activations (FP32, INT8)

**Merge with extra**: opencv/opencv_extra#1048

![res](https://user-images.githubusercontent.com/25801568/231433201-566b4bd6-ccff-462c-9e74-adbdcdf3648b.png)

on the image, green boxes are from TFLite and red boxes from OpenCV

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
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2 participants