Windows 安装支持 GPU 的 opencv-python

确保 Python 是 64 位

python -c "import sys,platform; print(sys.version); print(platform.architecture())"

安装 CUDA Toolkit + cuDNN

参考：Windows 安装 CUDA Toolkit + cuDNN

卸载 CPU build 版本的 opencv-python

pip uninstall -y opencv-python opencv-contrib-python
# pip uninstall -y opencv-python-headless opencv-contrib-python-headless
# pip uninstall -y opencv-python-rolling opencv_contrib_python_rolling

安装 CUDA 版本的 opencv-python

访问 cudawarped/opencv-python-cuda-wheels：

• 搜索对应 CUDA 版本，以及 win_amd64
• https://github.com/cudawarped/opencv-python-cuda-wheels/releases

cuda 12.9 + cudnn 9.10.2：

• https://github.com/cudawarped/opencv-python-cuda-wheels/releases/download/4.12.0.88/opencv_contrib_python-4.12.0.88-cp37-abi3-win_amd64.whl
• 4.12.0.88: OpenCV python wheels built against CUDA 12.9, Nvidia Video Codec SDK 13.0 and cuDNN 9.10.2.

cuda 12.2 + cudnn 8.9.3：

• https://github.com/cudawarped/opencv-python-cuda-wheels/releases/download/4.8.0.20230804/opencv_contrib_python_rolling-4.8.0.20230804-cp36-abi3-win_amd64.whl
• OpenCV python wheels built against CUDA 12.2, Nvidia Video Codec SDK 12.1 and cuDNN 8.9.3.

下载并安装：

# cd <下载目录>
pip install opencv_contrib_python-4.12.0.88-cp37-abi3-win_amd64.whl

检查是否安装成功

检查 OpenCV 版本信息：

python -c "import cv2; print(cv2.getBuildInformation())"

检查是否支持 CUDA：

python -c "import cv2; print('CUDA devices:', cv2.cuda.getCudaEnabledDeviceCount())"

输出形如：

CUDA devices: 1