Recent content by ava3757

A practical understanding of Swift starts with knowing what the system does well, where it is unreliable, and how to validate the result. One important area is performance. Define what a good result looks like before changing tools or settings, then test one variable at a time so you can tell...

For Robot Navigation explained: a practical look at evaluation, I would separate the problem into setup, output quality and repeatability. robot and navigation fits into that because it can change the result quite a lot depending on the workflow. It is usually easier to troubleshoot when each...

A useful way to understand Luma Dream Machine is to separate the goal, the input, the model or tool, and the way the output is evaluated. One important area is security. Define what a good result looks like before changing tools or settings, then test one variable at a time so you can tell what...