How to train your trainer

Machine Learning is all the hype these days! Ever since I first heard about it I was trying to understand it, because it just seems so mind boggling what crazy stuff people are doing with it.

While I am still very far away from that I have been spending a few weeks on getting a little closer to that goal.

After doing some research and watching countless tutorials and brushing up on Calculus I think what explained the most to me was an extremely good tutorial made by David Miller that Matt LeFevre (be sure to check his great work on his blog) shared with me and it helped me a huge deal to get more understanding of it. 

There are still a lot of unknowns to me but I thought I'd share my current progress in a quick video. 

The network is attempting to learn how to multiply float numbers between 0.0 - 1.0 and tries to minimise the error rate as much as possible before moving on to the next multiplication. You can see the results it comes up with in the lower center.

Next step will be to see how it interpolates, I want the network to give me the correct result for a multiplication it hasn't seen before. Lets see how that goes, Ill be sure to update once I get there (if I do) 😊

2D Voronoi in PyQt

This is just a fun little side project I ended up doing.
I don't know what it's useful for but it looks cool 😃

Click read more to get the code!
 

Showreel 2017

Its been a while since I last did a reel but here is some of the work I have been doing in the last couple of years. This includes some of the work me and a bunch of awesome dudes did on Tom Clancys: The Division.

Hope you enjoy!

Collision Deformer

Recently I learned a bit about writing nodes in maya and decided to start working an a collision deformer.

It allows for ground and mesh-to-mesh collisions. There are also parameters for thickness (which will push the mesh vertices along the targets normals) and I experimented a little bit with stickiness.

Before this video sits to long on my HD collecting dust before I touch this project again  I thought I'd share the current state of it in a quick video.

Video tracker improvements

Just a quick post as this a significant quality improvement on tracking!

It seems like in some footage its actually better to slightly blur the video, I guess that makes sense as is sort of averages the colour values, less noise and more coherent error rates.

After this I also apply a gaussian filter to the keyframes, which eradicates the high frequency oscillations but still largely keeps the original positions. Getting really happy with these results now!