ICLC 2023 -- Algorave 10 information retrieval

• Two options:
  • a) Run the prebuilt (recommended)
  • b) Built docker image

NOTE: A separate repo hosts the video files, and depends on git for large files (git-lfs): https://github.com/gewhere/algorave10-large-files. No need to install git-lfs to run the docker images shown below.

a) Run the prebuilt from docker-hub (recommended)

The image is available on docker hub: https://hub.docker.com/r/algorave10/iclc2023

Open a terminal and execute: docker run --rm -p 8888:8888 algorave10/iclc2023:latest

Access the Jupyter Lab notebook

After the image is pulled from docker hub, the terminal output should look like this:

To access the server, open this file in a browser:
    file:///home/jovyan/.local/share/jupyter/runtime/jpserver-7-open.html
Or copy and paste one of these URLs:
    http://a15f61b09a60:8888/lab?token=381b1ff05fbdd31e760049685ae5317307542
 or http://127.0.0.1:8888/lab?token=381b1ff05fbdd31e760049685ae5317307542b3d

To run the notebook copy and paste in your browser the last URL (which starts with http://127.0.0.1:8888).

NOTE: If you cannot access the notebook, make sure the port 8888 is in not used by another python notebook, or another application.

b) Built the docker image

This option can take up to several hours.

• Clone this repository: git clone https://github.com/gewhere/iclc2023.git
• Go to: cd iclc2023/docker
• Step 1: ./build.sh (or save to file ./build.sh >log.txt)
• Step 2: ./run.sh

License

The CC license BY-NC-SA-4.0 is inherited to this repository from TOPLAP's webpage on the Internet Archive.