Recast/Detour VS Genann

RecastNavigation

Detour is open source (zlib) so anyone has access to a proven RVO implementation. I believe Unreal and Unity still use Recast/Detour for navmesh and avoidance, but it looks like Godot cooked up their own.

https://github.com/recastnavigation/recastnavigation There is also a library called Yuka that is web based that can generate navmeshes i think: https://mugen87.github.io/yuka/docs/NavMesh.html

Hi, wanted to post about my rust project. I created Rust Lang bindings to the famous https://github.com/recastnavigation/recastnavigation . My library, Divert, currently provides the resources to interact with the Detour, 3d mesh path finding, capabilities of Recast Navigation. In the future, I hope to implement bindings for the Recast side of RecastNavigation which facilitates generating navigation meshes from input geometry to be used by detour. Most of my hobby work revolves around reverse engineering video games, so I needed the capabilities of Detour for my Rust program to navigate in game geometry. I would characterize myself as quite new to Rust still, so constructive criticism is highly welcome. I imagine, I did some really weird stuff while designing this crate, and I bet someone can let me know here ;)

Recast & Detour for navigation meshes (though Rust does have Detour bindings)

For path finding there is at least https://github.com/recastnavigation/recastnavigation

Recast is used in Unreal and many other games.

https://github.com/recastnavigation/recastnavigation Would be.

> I am very much a beginner in the space of machine learning

While the (precious and useful) advice around seem to cover mostly the bigger infrastructures, please note that

you can effectively do an important slice of machine learning work (study, personal research) with just a battery-efficiency-level CPU (not GPU), in the order of minutes, on a battery. That comes before going to "Big Data".

And there are lightweight tools: I am current enamoured with Genann («minimal, well-tested open-source library implementing feedfordward artificial neural networks (ANN) in C»), a single C file of 400 lines compiling to a 40kb object, yet well sufficient to solve a number of the problems you may meet.

https://codeplea.com/genann // https://github.com/codeplea/genann

After all, is it a good idea to have tools that automate process optimization while you are learning the deal? Only partially. You should build - in general and even metaphorically - the legitimacy of your Python ops on a good C ground.

And: note that you can also build ANNs in R (and other math or stats environments). If needed or comfortable...

Also note - reminder - that the MIT lessons of Prof. Patrick Winston for the Artificial Intelligence course (classical AI with a few lessons on ANNs) are freely available. That covers the grounds relative to climb into the newer techniques.

Genann - Simple ANN in C89, without additional dependencies. Zlib