4.7.0.20230527
OpenCV python wheels built against CUDA 12.1 Nvidia Video Codec SDK 12.1 and cuDNN 8.9.1.
Suitable for all devices of compute capability >= 5.0 with binary compatible code for devices of compute capability 5.0-9.0.
Nvidia GPU Computing Toolkit v12.1 is required for import cv2 to work and cuDNN 8.9.1 for accelerated inference when using the dnn module.
Build Summary
Windows
Nvidia CMake configuration output
NVIDIA CUDA: YES (ver 12.1, CUFFT CUBLAS NVCUVID NVCUVENC)
NVIDIA GPU arch: 50 52 60 61 70 75 80 86 89 90
NVIDIA PTX archs: 90cuDNN: YES (ver 8.9.1)
Build commands
set "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 -DCUDA_ARCH_PTX=9.0"
set ENABLE_CONTRIB=1
set ENABLE_ROLLING=1
python.exe setup.py bdist_wheel --py-limited-api=cp36
Linux
Nvidia CMake configuration output
NVIDIA CUDA: YES (ver 12.1, CUFFT CUBLAS NVCUVID NVCUVENC)
NVIDIA GPU arch: 50 52 53 60 61 62 70 72 75 80 86 87 89 90
NVIDIA PTX archs: 90cuDNN: YES (ver 8.9.1)
Build commands
export CMAKE_ARGS="-DWITH_CUDA=ON -DCUDA_ARCH_BIN=5.0;5.2;5.3;6.0;6.1;6.2;7.0;7.2;7.5;8.0;8.6;8.7;8.9;9.0 -DCUDA_ARCH_PTX=9.0"
export ENABLE_CONTRIB=1
export ENABLE_ROLLING=1
python setup.py bdist_wheel --py-limited-api=cp36