Simple docker container to run pyopenvdb on your system

The goal of this dockerfile is simple. If you tried installing pyopenvdb through the given instructions (https://pypi.org/project/pyopenvdb/) and failed or if your system is not compatiple, try this dockerfile.

To run pyopenvdb through this dockerfile follow the instructions below.

Build and run pyopenvdb in your container

Download, install and start docker desktop (https://www.docker.com/products/docker-desktop).

Download Dockerfile from this repo or clone it to your machine and open a terminal at the directory where you saved Dockerfile.

Now build an image (which will be named pyopenvdb_img) by executing the following command:

docker build -t pyopenvdb_img .

Now you can run a bash terminal in a container with the image you just made using:

docker run -it --rm pyopenvdb_img bash

Here -it keeps the container running so you can work in it and --rm removes the container when you exit.

Now you can type python3.7 and import pyopenvdb and start playing. (Note that the image uses python3.7 and not python or python3.)

Accessing files on the local machine

If you want to use files on your machine in the container, you need to link a volume into the container when you start it. If your previous container is still running, exit it by typing exit. Find the absolute path of the directory containing the files you want to use in the container and execute the following command:

docker run -it --rm -v <absolute path to a folder with scripts>:/scripts pyopenvdb_img bash

With -v <abs local path>:<abs container path> you mount the folder on the host machine into the container so you can access it. The paths need to be absolute paths.

Now in your container you can do cd /scripts to go to the mounted volume and start working with your scripts.

Example

# Start the container, mount the current directory as /scripts within the container
$ docker run -it --rm -v `pwd`:/scripts pyopenvdb_img bash

# Inside the container, execute the script, which generates a VDB file

root@f91a245cb4e9:/# cd /scripts/

root@f91a245cb4e9:/scripts# ls -l
total 12
-rw-r--r-- 1 1000 users 1074 May  3 10:57 Dockerfile
-rw-r--r-- 1 1000 users  426 May  3 14:22 example.py
-rw-r--r-- 1 1000 users 1387 May  3 10:57 readme.md

root@f91a245cb4e9:/scripts# python3.7 example.py
Copying
((0, 0, 0), (49, 49, 49))
root@f91a245cb4e9:/scripts# ls -l
total 536
-rw-r--r-- 1 1000 users   1074 May  3 10:57 Dockerfile
-rw-r--r-- 1 1000 users    426 May  3 14:22 example.py
-rw-r--r-- 1 root root  532562 May  3 14:22 floats.vdb
-rw-r--r-- 1 1000 users   1387 May  3 10:57 readme.md

root@f91a245cb4e9:/scripts# exit

# Outside the container, now have the generated floats.vdb file
$ ls -l
total 536
-rw-r--r-- 1 melis users   1074 May  3 12:57 Dockerfile
-rw-r--r-- 1 melis users    426 May  3 16:22 example.py
-rw-r--r-- 1 root  root  532562 May  3 16:22 floats.vdb
-rw-r--r-- 1 melis users   1387 May  3 12:57 readme.md

When you need more python packages in your container

For this you will need to alter the Dockerfile . Under the header # INSTALLING PYTHON PACKAGES add the python packages you need to install with pip3.7. Build the image again so that it contains the packages you need.