Eye On Intelligence Challenge - a Birds-Eye view - Software, software, software and more software

It seems like I'm spending all my time installing software for this project instead of actual coding.

First package required is Vitis and Vivado. I choose version 2024.1 because some of the HDMI examples were coded for this version.
It turns out that I've had to switch between 2022, 2023, 2024 versions for different demo examples and who knows what I'll eventually end up using.
Here's the link to the AMD download site:
https://www.xilinx.com/support/download.html

The AI part of this project is confusing me to no end. Back in the good old days, your toolset was only dependent on the software language you choose to write with. Edit, compile, link, and assemble. I've had to learn so many new terms in the past few weeks my coffee consumption has tripled.

Editors are now notebooks, and there are several to choose from.
Jupyter Notebook or Jupyter Lab is one:
https://jupyter.org/
Google Colab is another:
https://colab.research.google.com/
Others include ClickUp, CoCalc, Nextjournal, Deepnote, Kaggle, Zeppelin, and each vendor has its own forum and community signup.

The compiler part of the toolchain is still dependent on your coding preferences C, CPP, Python, etc. Python and C seem to be what most of the example programs are written in.

AI Frameworks and libraries and Model Zoos are abundant. PyTorch, TensorFlow, Caffe, OpenVino, Keras, Scikit-Learn, LangChain, OpenAI, OpenNN, PyBrain, IBM Watson, MXNet, XGBoost, Theano, DL4J or Vitis AI Model Zoo.
https://www.datacamp.com/blog/top-ai-frameworks-and-libraries

Since I'm still an AI beginner, I've been looking at many examples and tutorials
https://digilent.com/reference/learn/programmable-logic/tutorials/start

I've run the Arty-Z7 HDMI Input Demo
https://digilent.com/reference/programmable-logic/arty-z7/demos/hdmi-input
And I've run the OOB Demo
https://digilent.com/reference/programmable-logic/arty-z7/demos/oob
And I've installed Jupyter Lab, TensorFlow, and OpenVino and started a coursera class in AI
"Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning"
https://www.coursera.org/learn/introduction-tensorflow

So many projects.......so little time......