Demo Zero to Hero in 9 steps

[paularamo]

This notebook covers a complete pipeline with the Intel Geti SDK:

• Connect with an Intel Geti instance
• Create a project
• Upload a video
• Download the model and save the deployment
• Preparing a model for inference
• Run the inference and digest new data into the platform

This notebook requires a VideoPlayer class and an Uploader class. Those are included in /notebooks/utils/notebooks_utils.py

The idea with this notebook is to create content for further platform users.

The video we are using in this notebooks is public available in this link: https://storage.openvinotoolkit.org/data/test_data/videos/person-bicycle-car-detection.mp4

[ljcornel]

Hey @paularamo, thanks a lot for the PR! I'm looking at it and considering how to make it self-contained: Maybe pulling the video from the link you shared within the notebook so that a user won't have to do it him/herself, and also saving the annotations (we can add a folder "data" to the notebooks folder, that could contain annotations for some of the frames).
I made a local branch from your PR to be able to propose some modifications, I'll work on it some more and then push it so that we can discuss.