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[docs] Add additional source for CUDA-enabled wheels
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docs/download.md

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@@ -57,9 +57,12 @@ DVR-Scan works with CUDA graphics cards *if* you are using the Python distributi
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!!! warning "GPU support requires a development environment setup including the Nvidia CUDA® SDK."
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It is recommended to build and install OpenCV with the CUDA module enabled (there are various tutorials online for how to do this). There is also an [unofficial pre-built Python wheel](https://github.com/cudawarped/opencv-python-cuda-wheels/releases/tag/4.11.0.20250124) maintained by James Bowley which can be downloaded and installed via `pip`.
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It is recommended to build and install OpenCV with the CUDA module enabled (there are various tutorials online for how to do this). There is also unofficial pre-built Python wheels:
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When available, you should see `cv2.cuda: Installed` under the features list when running `dvr-scan --version`. Make sure to set `-b MOG2_CUDA` when running DVR-Scan (e.g. `dvr-scan -i video.mp4 -b MOG2_CUDA`). In the UI, under this can be found under Settings -> Motion -> Subtractor.
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- [Breakthrough/opencv-python-cuda](https://github.com/Breakthrough/opencv-python-cuda/releases/tag/4.12.0-dev0)
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- [cudawarped/opencv-python-cuda-wheels](https://github.com/cudawarped/opencv-python-cuda-wheels/releases/tag/4.11.0.20250124)
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These can be downloaded and installed with . When available, you should see `cv2.cuda: Installed` under the features list when running `dvr-scan --version`. Make sure to set `-b MOG2_CUDA` when running DVR-Scan (e.g. `dvr-scan -i video.mp4 -b MOG2_CUDA`). In the UI, under this can be found under Settings -> Motion -> Subtractor.
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