# opencv-cuda-docker

**Repository Path**: wangjingkai/opencv-cuda-docker

## Basic Information

- **Project Name**: opencv-cuda-docker
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: MIT
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2023-12-15
- **Last Updated**: 2023-12-15

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# OpenCV with CUDA Docker Image
This repository contains Dockerfiles for creating Docker images of the [OpenCV](https://opencv.org/) computer vision library with [NVIDIA CUDA](https://developer.nvidia.com/cuda-zone) support based on the [official CUDA images](https://hub.docker.com/r/nvidia/cuda/).
The images contain the [opencv_contrib](https://github.com/opencv/opencv_contrib) modules and Python bindings.

Currently the images are based on the development (`devel`) version of the [images from Nvidia](https://hub.docker.com/r/nvidia/cuda/), so all the development tools are installed as well. It is on my TODO-List to include `base` and `runtime` versions corresponding to those from the Nvidia repository.

## Requirements
To build and run these containers leveraging NVIDIA GPUs, you need a Nvidia GPU, [Docker](https://docs.docker.com/get-docker/) and the [NVIDIA Container Toolkit](https://github.com/NVIDIA/nvidia-docker).

## Run
```bash
docker run julianassmann/opencv-cuda:cuda-<version>-opencv-<version>
```
e. g.
```bash
docker run julianassmann/opencv-cuda:cuda-10.2-opencv-4.2
```

## Building
Navigate to the directory corresponding with the correct versions for Ubuntu, CUDA and OpenCV respectively you want to build and run
```bash
docker build -t <image_name> .
```