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https://github.com/akofman/docker-video-processing

A Docker image intended for video processing and analysing
https://github.com/akofman/docker-video-processing

alpine docker ffmpeg opencv python tensorflow video-processing

Last synced: 7 days ago
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A Docker image intended for video processing and analysing

Host: GitHub
URL: https://github.com/akofman/docker-video-processing
Owner: akofman
License: mit
Created: 2017-07-19T08:43:32.000Z (over 7 years ago)
Default Branch: master
Last Pushed: 2019-05-23T17:47:11.000Z (over 5 years ago)
Last Synced: 2024-08-01T20:52:07.870Z (4 months ago)
Topics: alpine, docker, ffmpeg, opencv, python, tensorflow, video-processing
Language: Dockerfile
Homepage:
Size: 14.6 KB
Stars: 27
Watchers: 6
Forks: 10
Open Issues: 0
Metadata Files:
- Readme: README.md
- License: LICENSE

Awesome Lists containing this project

README

        # Docker Video Processing

[![python](https://img.shields.io/badge/python-v3-blue.svg)](https://www.python.org)

[![ffmpeg](https://img.shields.io/badge/ffmpeg-v3.4-blue.svg)](https://ffmpeg.org)

[![opencv](https://img.shields.io/badge/opencv-v3.3.1-blue.svg)](http://opencv.org)

[![tensorflow](https://img.shields.io/badge/tensorflow-v1.4.1-blue.svg)](http://tensorflow.org)

Provides Dockerfiles intended for video processing and analysing.

Images are published into [Docker Hub Repository](https://hub.docker.com/r/alexiskofman/video-processing/).

- The default `Dockerfile` permits to build an image from Alpine Linux and includes:

    - [Python](https://www.python.org)

    - [FFMPEG](https://ffmpeg.org)

    - [OpenCV](http://opencv.org)

    It doesn't support GPU.

- The `Dockerfile.tensorflow-gpu` permits to build an image from Ubuntu and adds Tensorflow. 

    Tensorflow and OpenCV are built with NVidia Cuda GPU support.

 

## Installation

```

$ docker pull alexiskofman/video-processing:default

```

Then enjoy what's inside:

```

$ docker run --rm -ti alexiskofman/video-processing:default ash

```

With Tensorflow:

```

$ docker pull alexiskofman/video-processing:tensorflow1.4.1-gpu

$ docker run --rm -ti alexiskofman/video-processing:tensorflow1.4.1-gpu bash

```

# License

MIT Licensed. Copyright (c) Alexis Kofman 2017.