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
`
Naresh M L