OpenCV python wheels built against CUDA 12.8, Nvidia Video Codec SDK 12.2 and cuDNN 9.7.0.
Suitable for all devices of compute capability >= 5.0 with binary compatible code for devices of compute capability 5.0-12.0.
Nvidia GPU Computing Toolkit v12.8 is required for import cv2 to work and cuDNN 9.7.0 for accelerated inference when using the dnn module.
Nvidia CMake configuration output
-- NVIDIA CUDA: YES (ver 12.8, CUFFT CUBLAS NVCUVID NVCUVENC)
-- NVIDIA GPU arch: 50 52 60 61 70 75 80 86 89 90 100 120
-- NVIDIA PTX archs: 120
--
-- cuDNN: YES (ver 9.7.0)
Build Summary
Ubuntu 22.04 Build commands
export "CMAKE_ARGS=-DWITH_CUDA=ON -DCUDA_ARCH_BIN=5.0;5.2;6.0;6.1;7.0;7.5;8.0;8.6;8.9;9.0;10.0;12.0 -DCUDA_ARCH_PTX=12.0"
export ENABLE_CONTRIB=1
export ENABLE_ROLLING=1
python setup.py bdist_wheel --py-limited-api=cp37