Visualization Lab Project

Template repository for the Visualization lab project at the Johannes Kepler University Linz.

Please read through this README.md follow the instructions below.

For the detailed project specification check the Visualization Moodel page.

0. Team Information

Fill out the team-info.json file in this repository and push it to GitHub by 23:59 on 4 November, 2024. (Check Moodle for any updated deadlines.) Make sure that the file contains your team name, each student's first and last name, student ID, email address, and GitHub username.

1. Project Proposal

Fill out the sub_01_proposal.ipynb file and indicate the workloads for each student in the sub_01_workload.json file.

Make sure that the file includes your correct team name, that the names in the workload file match with the team-info.json and that the workloads sum up to 1.

Push the files to GitHub by 23:59 on 11 November, 2024. (Check Moodle for any updated deadlines.)

2. Intermediate Project Submission

Fill out the sub_02_intermediate.ipynb file and indicate the workloads for each student in the sub_02_workload.json file.

Make sure that the file includes your correct team name, that the names in the workload file match with the team-info.json and that the workloads sum up to 1.

You can use the submission notebook for your experiments and to show your progress, but please keep a clear separation between any experimental outputs and the actual submission.

Push the files to GitHub by 23:59 on 2 December, 2024. (Check Moodle for any updated deadlines.)

3. Final Project Submission

Fill out the sub_03_final.ipynb file and indicate the workloads for each student in the sub_03_workload.json file.

Make sure that the file includes your correct team name, that the names in the workload file match with the team-info.json and that the workloads sum up to 1.

You can use the submission notebook for your experiments and to show your progress, but please keep a clear separation between any experimental outputs and the actual submission.

Push the files to GitHub by 23:59 on 16 January, 2025. (Check Moodle for any updated deadlines.)

4. Project Presentation

Add your slides and a video of your presentation to the sub_04_presentation folder. Please adhere to the following file extension and naming schemes: presentation-video-<TEAMNAME>.mp4 and presentation-slides-<TEAMNAME>.ppt(x)/pdf. Please check Moodle for additional requirements such as the time limit.

Indicate the workloads for each student in the sub_04_workload.json file. Make sure that the file includes your correct team name, that the names in the workload file match with the team-info.json and that the workloads sum up to 1.

Push the files to GitHub by 23:59 on 16 January, 2025. (Check Moodle for any updated deadlines.)

Communication

In case you have any questions about the individual submissions, please open a thread in the Discussion Forum on Moodle. If you have issues with one of your teammates or do not agree about the workloads, please reach out to the course team via email.

General Submission Information

• Make sure that you pushed your GitHub repository and not just committed it locally.
• Make sure that the GitHub preview of your .ipynb files contains all parts of your submission that you want us to see! In particular:
  • Check if all output for static visualizations is visible. If not, include a static screenshot as an image.
  • Check if all output for interactive visualizations is visible. If not, include a static screenshot and a link to a short screencast located in your repository.
• Feel free to use the provided environment.yml file as a starting point (instructions below). If you use additional libraries, keep the environment file up-to-date to keep your code easily executable for yourself and others.

Usage Instructions

Checkout this repo and change into the folder:

git clone https://github.com/jku-icg-classroom/vis-project-2024-<GROUP_NAME>.git
cd vis-project-2024-<GROUP_NAME>

Load the conda environment from the environment.yml file, if you haven't already in previous assignments:

conda env create -f environment.yml

Activate the loaded conda environment:

conda activate vis-project

You might have to install the Jupyter Lab extension to use ipywidgets in JupyterLab:

jupyter labextension install @jupyter-widgets/jupyterlab-manager

Launch Jupyter :

jupyter lab

Jupyter should now open a new tab with url http://localhost:8888/ and display the project files.