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Added image super-resolution samples using seemoredetails model #27592 Based on "See More Details: Efficient Image Super-Resolution by Experts Mining" (ICML 2024) ### 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 This pull request adds a new sample named seemore_superres under samples/dnn/, implemented in both Python and C++. The sample demonstrates image super-resolution using the Seemoredetails model with OpenCV’s DNN module. ### Files Added: - samples/dnn/seemore_superres.cpp - samples/dnn/seemore_superres.py - Updated samples/dnn/models.yml ### Functionality: - Performs image upscaling(4x) using a specified Seemoredetails ONNX model. - Accepts image path and ONNX model path as command-line arguments. - Outputs the original and super-resolved images side by side for visual comparison. ### Sample Usage: *C++* ./seemore_superres --input=path/to/image.jpg ` *Python* python seemore_superres.py --input=path/to/image.jpg `
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