https://github.com/Valian/docker-python-opencv-ffmpeg

Repository for clean Dockerfile containing ffmpeg, opencv3 and python2/3, based on Ubuntu
https://github.com/Valian/docker-python-opencv-ffmpeg

cuda-support docker docker-images ffmpeg opencv python

Last synced: 3 months ago
JSON representation

Repository for clean Dockerfile containing ffmpeg, opencv3 and python2/3, based on Ubuntu

• Host: GitHub
• URL: https://github.com/Valian/docker-python-opencv-ffmpeg
• Owner: Valian
• Created: 2017-06-03T18:38:57.000Z (over 7 years ago)
• Default Branch: master
• Last Pushed: 2021-04-17T23:13:57.000Z (almost 4 years ago)
• Last Synced: 2024-08-01T20:51:48.228Z (6 months ago)
• Topics: cuda-support, docker, docker-images, ffmpeg, opencv, python
• Homepage: https://hub.docker.com/r/valian/docker-python-opencv-ffmpeg/
• Size: 10.7 KB
• Stars: 71
• Watchers: 5
• Forks: 56
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

        
# Docker: python-opencv-ffmpeg(-cuda)

Repository for clean Dockerfile containing ffmpeg, opencv3 and python2/3, based on Ubuntu 16.04 LTS.

## Tags

* `:py2` Python 2.7, OpenCV 3.4.2, ffmpeg  

* `:py3` Python 3.5, OpenCV 3.4.2, ffmpeg  

* `:py2-cuda` Python 2.7, OpenCV 3.4.2, ffmpeg with CUDA 8.0 support  

* `:py3-cuda` Python 3.5, OpenCV 3.4.2, ffmpeg with CUDA 8.0 support  

## Build

First you need to install docker on your local computer, see following [tutorial](https://docs.docker.com/install/linux/docker-ce/ubuntu/#set-up-the-repository). Note, for running the docker properly you have be logged as superuser otherwise you will face many partial issues which sometimes does not make much sense.

You can build it on your own, note it takes lots of time, be prepared.

``` bash

git clone 

cd docker_python-opencv-ffmpeg

docker image build -t valian/docker-python-opencv-ffmpeg -f Dockerfile-py2 .

```

To build other versions, select different Dockerfile.

Other option is using already build image from DockerHub which is significantly faster. it basically download the already build image.

``` bash

docker pull valian/docker-python-opencv-ffmpeg

```

## Usage

Image has OpenCV3, python2.7/3.5 and ffmpeg ready to use. Example:

``` bash

docker run --rm -it -v $PWD:/srv valian/docker-python-opencv-ffmpeg

>>> import cv2; cv2.VideoCapture(0).read()

# truncated for transparency

(True, array([[[ 0, 43, 37], ...]], dtype=uint8))

```