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Merge pull request #29227 from omrope79:object_detect_changes

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Update BarcodeDetector super-resolution API to use single-file ONNX #29227

### Pull Request Readiness Checklist

This PR updates the `BarcodeDetector` super-resolution API to support and utilize a single-file ONNX model format. 

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:
omrope79
2026-06-05 10:30:41 +05:30
committed by GitHub
parent 35ac66291f
commit ada32973b4
5 changed files with 48 additions and 22 deletions
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doc/tutorials/objdetect/barcode_detect_and_decode/barcode_detect_and_decode.markdown
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@@ -33,7 +33,7 @@ While coding, we firstly need to create a cv::barcode::BarcodeDetector object. I
#### Initialization
Optionally user can construct barcode detector with super resolution model which should be downloaded from https://github.com/WeChatCV/opencv_3rdparty/tree/wechat_qrcode (`sr.caffemodel`, `sr.prototxt`).
Optionally user can construct barcode detector with a super resolution model, passed as a single-file ONNX network (`sr.onnx`). A converted model can be downloaded from https://github.com/WeChatCV/opencv_3rdparty/tree/wechat_qrcode. Caffe models (`sr.prototxt` / `sr.caffemodel`) are no longer supported.
@snippet cpp/barcode.cpp initialize