1.2 The Jupyter environment

You are now inside your Jupyter environment. As you can see, it’s a web-based environment, but everything you’ll do here is in fact happening on the Red Hat OpenShift Data Science cluster. This means that without having to install and maintain anything on your own computer, and without disposing of lots of local resources like CPU and RAM, you can still conduct your Data Science work in this powerful and stable managed environment.

In the "file-browser" like window you’re in right now, you’ll find the files and folders that are saved inside your own personal space inside Red Hat OpenShift Data Science. It’s pretty empty right now though…​ So the first thing we will do is to bring the content of the workshop inside this environment.

  • On the left toolbar, click on the Git icon:

alt text
  • Then click on Clone a Repository:

alt text
  • Enter the Git URL, then click CLONE:

https://github.com/rh-aiservices-bu/object-detection-rest.git
alt text
  • It takes a few seconds, after which you can double-click and navigate to the newly-created folder, object-detection-rest:

alt text

In here, you’ve got all the files and folders that are part of the workshop. Here in a moment, we’ll start working with them.

alt text

Before we start working with our Jupyter notebooks, let’s use the Terminal feature to install a specific version of the Pillow library that is required by the Object Detection REST API.

alt text

Here, let’s install Pillow 9.5.0 using the following command:

pip install Pillow==9.5.0
alt text

Continue with the next step of the workshop to get started working with the notebooks.