eungbean / ELSA-docker

================================================================== module list ver/branch source

opencv 3.4.2 git Mecab latest git ELSA-server latest git ELSA-client latest git ELSA-situation-recognition opencv git

Docker: ELSA(-cuda)

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

Tags

• :py3-cuda Python 3.5, OpenCV 3.4.2, ffmpeg with CUDA 8.0 support
• :py3 Python 3.5, OpenCV 3.4.2, ffmpeg (not av. yet)

Build

First you need to install docker on your local computer, see following tutorial. 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.

Use already build image from DockerHub which is significantly faster. it basically download the already build image.

docker pull eungbean/elsa

Other option is building it on your own, note it takes lots of time, be prepared.

git clone <git-repository>
cd ELSA-docker
docker image build -t eungbean/elsa -f Dockerfile-py3-cuda .

To build other versions, select different Dockerfile.

Usage

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

docker run -rm -it \
-v $PWD:/srv eungbean/elsa \
>>> import cv2; cv2.VideoCapture(0).read()

# truncated for transparency
(True, array([[[ 0, 43, 37], ...]], dtype=uint8))