opencv-python-cuda | CUDA-enabled OpenCV for Python

Get started

Download 4.13.0-dev1 all releases →

Download the .whl file for your platform from the release above.
Install it with pip (or another package manager like uv):
```
pip install opencv_python_cuda-*-win_amd64.whl
```

Verify that CUDA is working:

import cv2
print(cv2.cuda.getCudaEnabledDeviceCount())

By downloading and using the software, you agree to fully comply with the terms and conditions of the CUDA EULA.

About

opencv-python-cuda is a fork of the official opencv-python project that ships CUDA-enabled OpenCV builds with all batteries included: every required runtime library is bundled directly in the wheel, including hardware video decoding and encoding (NVDEC/NVENC).

The only system requirement is an up-to-date NVIDIA driver - the wheel links directly against driver components, so a working driver must be installed for import cv2 to succeed.

Documentation

CUDA Compatibility Reference

GPU architectures, compute capabilities, and CUDA toolkit support.

Workflow Guide

Repository setup, triggering builds, and wheel size strategy.