gbs-control VS WaveFunctionCollapse

I built a ESP8266 controlled GBS8200 as main scan converter. https://github.com/ramapcsx2/gbs-control You can get a GBS8200 for about 24$ + shipping and an ESP8266 doesn't cost much. And also it just needs basic solder skills. Not really complicated to build. Then you have a great VGA output. And that you can convert to HDMI with a cheap VGA-HDMI adapter. I personally use an old Eizo 5:4 VGA Monitor because of the aspect ratio but sometimes I do actually connect it to HDMI to record things in OBS.

Try searching for GBS-CONTROL. You should probably start looking here: https://github.com/ramapcsx2/gbs-control

Some games also require you to move the sync signal over to the next pin, some games require sync signal to both pins at once. It can take some fiddling for a few games but I've always gotten it working eventually. It could help to also go ahead and upgrade the board with GBS control. I have my Rush setup that way and it's pretty handy being able to adjust the picture wirelessly with my phone.

In my opinion GBS-Control. https://github.com/ramapcsx2/gbs-control

Try some of the other URLs after connecting to the local wifi. https://github.com/ramapcsx2/gbs-control/wiki/Software-Setup

Arcade "CGA" isn't real CGA, it's just analog 15 kHz RGB. You'd have to use something like this to convert the CGA from your computer into analog RGB if you want to feed it into one of those GBS-8200 boards. They're not very good unless you modify them anyway. I use an OSSC to convert analog RGB to HDMI, but that's more expensive.

After a bit of research, I almost pre-ordered a RAD2X HDMI cable, but that would likely be around $85 after shipping, and wouldn't get here for a while. Also, it only works with the Saturn, while I was hoping to find a solution that will work with other retro consoles. Luckily, I came across this video by Voultar showing how to build a GBS-Control.

If you know how to wield a soldering iron then a GBS-8200 plus gbs-control firmware does a good job too for a much lower price, but that does get pretty technical.

- Sometimes the web UI won't have 1280x960 checked, even if it's outputting a 960p signal. I don't know if this is connected to the vertical shift bug, or if .

Again I'd have to dig into the GBS-C source code to find out why mode changing behaves oddly. There will be a lot of learning to do, understand the software state and chip registers and how they correlate to profile settings and input/output behavior. I suppose I could file a bug at https://github.com/ramapcsx2/gbs-control/issues, but somehow I feel reluctant to do so, partly because I didn't fully understand the setup and don't know if many of these bugs wouldn't happen on a VGA CRT, partly just learned helplessness and not knowing if my bug report is detailed enough or will be ignored or attacked, partly because I'd prefer to chat with the developers in Discord/Matrix outside of a higher-stakes formal bug report or a forum I've never posted at before.

Thank you! And yes, I agree. I was looking at uh https://github.com/mxgmn/WaveFunctionCollapse and wondering if that were applicable here :)

Have a good day!

Intuitively, it measures the difference between two probability distributions. It's not symmetric, so it's not quite that, but in my opinion, it's good intuition.

As motivation, say you're an internet provider, providing internet service to a business. You naturally want to save money, so you perhaps want to compress packets before they go over the wire. Let's say the business you're providing service to also compresses their data, but they've made a mistake and do it inefficiently.

Let's say the business has, incorrectly, determined the probability distribution for their data to be $q(x)$. That is, they assign probability of seeing symbol $x$ to be $q(x)$. Let's say you've determined the "true" distribution to be $p(x)$. The entropy, or number of bits, they expect to transmit per packet/symbol will be $-\sum p(x) lg(q(x))$. Meaning, they'll compress their stream under the assumption that the distribution is $q(x)$ but the actually probability of seeing a packet, $x$, is $p(x)$, which is why the term $p(x) lg(q(x))$ shows up.

The number of bits you're transmitting is just $-\sum p(x) lg(p(x))$. Now we ask, how many bits, per packet, is the savings of your method over the businesses? This is $-\sum p(x) lg(q(x)/p(x))$, which is exactly the Kullback-Leibler divergence (maybe up to a sign difference).

In other words, given a "guess" at a distribution and the "true" distribution, how bad is it between them? This is the Kullback-Leibler distribution and why it shows up (I believe) in machine learning and fitness functions.

As a more concrete example, I just ran across a paper talking [0] about using WFC [1] to asses how well it, and other algorithms, do when trying to create generative "super mario brothers" like levels. Take a 2x2 or 3x3 grid, make a library of tiles, use that to generate a random level, then use the K-L divergence to determine how well your generative algorithm has done compared to the observed distribution from an example image.

[0] https://arxiv.org/pdf/1905.05077.pdf

[1] https://github.com/mxgmn/WaveFunctionCollapse

Reminds me of wave function collapse - a programmatic way to generate mazes.

I am using WFC to generate the terrain, with pretty much a copy-paste implementation of the original WFC implemented into Unity.

If you still want to go the WFC route, the original WFC repository is a great place to start. There's also a (relatively barebones looking) Godot plugin you could take a look at.

wave function collapse studies - this is done with the https://github.com/mxgmn/WaveFunctionCollapse algorithm after I saw https://github.com/CodingTrain/Wave-Function-Collapse mention it. done in P5! IG https://www.instagram.com/ronivonu/

There’s an interesting approach similar to this called [Wave Function Collapse](https://github.com/mxgmn/WaveFunctionCollapse) (no relation to wfc in physics idea besides inspiration). It can infer the probabilistic constraints from one input example, and it seems to generalize quite well. Here’s a [little demo](https://oskarstalberg.com/game/wave/wave.html)