1
0
mirror of https://github.com/opencv/opencv.git synced 2026-07-22 03:43:03 +04:00
Abhishek Gola 53d9a67cf3 Merge pull request #28741 from abhishek-gola:int8_block_layout
Int8 block layout support #28741

After this patch we got the following speed ups on **resnet50-qdq.onnx** model.

- Inference time now: **_~6.6ms_** (inference time using onnxruntime is ~5.7ms).
- Inference time before: _**~11.5ms**_ [after QDQ PR #28595]
- Speed up: _**~42.6% or 1.74x**_
- Device details:
- Model name: Intel(R) Core(TM) i9-14900KS, x86, 32 Cores, ubuntu 24.04, 

### 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 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
2026-04-12 19:40:03 +03:00
2026-02-20 22:05:35 +03:00
2026-04-09 18:44:48 +03:00
2026-01-04 15:12:59 +01:00
2026-04-09 18:44:48 +03:00
2026-04-09 18:44:48 +03:00
2026-04-09 18:44:48 +03:00
2026-02-20 22:05:35 +03:00
2018-10-11 17:57:51 +00:00
2025-08-07 10:35:20 +03:00
2024-04-02 16:39:54 +03:00

OpenCV: Open Source Computer Vision Library

Resources

Contributing

Please read the contribution guidelines before starting work on a pull request.

Summary of the guidelines:

  • One pull request per issue;
  • Choose the right base branch;
  • Include tests and documentation;
  • Clean up "oops" commits before submitting;
  • Follow the coding style guide.

Additional Resources

S
Description
No description provided
Readme Apache-2.0 3.3 GiB
Languages
C++ 87.6%
C 3.2%
Python 2.9%
CMake 2%
Java 1.5%
Other 2.6%