Recently I’ve been doing a lot of work with Containers and Container-related technology in AWS, and one conversation that keeps coming up over and over again is, “How do I get started containerizing my application?” and similarly, “How do I get my container running in the cloud?”
There are lots of resources available to answer these questions, but I find usually:
- These resources don’t take you all the way to the beginning, or…
- They have too many bells and whistles, with lots of “magic” going on behind the scenes.
In this post, I’m going to assume you are a developer who knows his/her craft very well. You know your code, you know how to build it, and how to get it running. (In this example, we’ll be using Java, but the example can be applied to almost any web language or framework.) Instead, I will assume that you need a ground-up example of how to containerize and start your application in the cloud, so we will focus on that.
Hey all! It’s been a long time coming, but I have finally launched my CGI “Toon-style” show! Check it out:
So what’s going on behind the scenes? ALL of the CGI is modeled and rendered inside of Blender which is a free/open source CGI modeling and animation tool. It was a little hard to get the hang of it at first, but (after literally years of work) I’ve gotten something that I really like.
But what about facial animation? The characters need to be as expressive as possible, but I can’t afford the time to animate every single movement by hand. So that’s where my new tool YerFace! comes into play. It’s a facial performance capture software that looks at an actor’s face with a regular webcam and listens to their spoken audio and automatically generates keyframe animation into Blender.
It took literally years to conceive and write the solution, including the all-new YerFace! animation program. But I think it was worth the wait!
I got to speak at PillarCon 2018 about YerFace! We did a LIVE DEMO and Snufflefungus showed up!
I share about how I used applied computer vision powered by GPU-accelerated algorithms and machine learning to solve my cartoon facial animation problems for Markley Bros. Entertainment.
I also share some of the history of the Malex Minute, and our mighty struggle to bring our lovable characters to the screen.
Check it out!
I posted a couple of video blog entries over on YouTube introducing a new Open Source software project. If you have any interesting in simple performance capture, check it out!
This weekend I got curious. How lightweight could an Amazon S3 download script be?
There are plenty of AWS and S3 command line tools and libraries for everyone’s favorite scripting languages, but as I’m currently working in the IoT space, I wondered what the smallest number of dependencies was that I could get away with and still authenticate a private file download.
Here is what I came up with: Continue reading
I wrote this little utility in early 2014 to scratch an itch for myself (I’ll explain below) but never really thought much about it after that. Shortly afterward I found myself working on a project that needed exactly the same functionality, so I decided to open source it and put it up on GitHub.
I had the opportunity to spend some time with one of my brothers-in-law over the past week and I took the opportunity to show him some hardware hacking. Check out the video! Continue reading