DCVIP Imageflow: Virual Imaging Pipeline
Description
This repository contains the Kubernetes and Airflow scripts for the DCVIP virtual imaging: An end-to-end virtual imaging pipeline that will enable researchers to ethically acquire realistic image data of a wide variety of clinically relevant scenarios.
Authors
Saumitra Chaskar - chaskar2@illinois.edu
Documentation
Box Folder: https://uofi.box.com/s/9qal37n7ffd12m5so91m3bsavlb570vg or https://gitlab.engr.illinois.edu/chaskar2/imageflow-repo/-/tree/main/documentation?ref_type=heads
Getting started
To make it easy for you to get started with GitLab, here's a list of recommended next steps.
Already a pro? Just edit this README.md and make it your own. Want to make it easy? Use the template at the bottom!
Add your files
- Create or upload files
- Add files using the command line or push an existing Git repository with the following command:
cd existing_repo
git remote add origin https://gitlab.engr.illinois.edu/chaskar2/imageflow-repo.git
git branch -M main
git push -uf origin main
Integrate with your tools
Collaborate with your team
- Invite team members and collaborators
- Create a new merge request
- Automatically close issues from merge requests
- Enable merge request approvals
- Set auto-merge
Test and Deploy
Use the built-in continuous integration in GitLab.
- Get started with GitLab CI/CD
- Analyze your code for known vulnerabilities with Static Application Security Testing (SAST)
- Deploy to Kubernetes, Amazon EC2, or Amazon ECS using Auto Deploy
- Use pull-based deployments for improved Kubernetes management
- Set up protected environments