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### Pull Request Readiness Checklist resolves #16295 ``` docker run --gpus 0 -v ~/opencv:/opencv -v ~/opencv_contrib:/opencv_contrib -it nvidia/cuda:12.8.1-cudnn-devel-ubuntu22.04 apt-get update && apt-get install -y cmake python3-dev python3-pip python3-venv && python3 -m venv .venv && source .venv/bin/activate && pip install -U pip && pip install -U numpy && pip install torch --index-url https://download.pytorch.org/whl/cu128 && cmake \ -DWITH_OPENCL=OFF \ -DCMAKE_BUILD_TYPE=Release \ -DBUILD_DOCS=OFF \ -DWITH_CUDA=ON \ -DOPENCV_DNN_CUDA=ON \ -DOPENCV_EXTRA_MODULES_PATH=/opencv_contrib/modules \ -DBUILD_LIST=ts,cudev,python3 \ -S /opencv -B /opencv_build && cmake --build /opencv_build -j16 export PYTHONPATH=/opencv_build/lib/python3/:$PYTHONPATH ``` 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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