Hello everyone, this is Denis Weber.
One day, I was once again looking for a 3d model on stock for my project and came across a neural network that can create high-quality 3d models in just a couple of clicks. And I wondered if it would be possible to create something like a music video using only the capabilities of existing neural networks?
If you prefer the video format, I will leave a link to the video at the end of the post.
Hello everyone, this is Denis Weber.
Heroes 3 is one of my favorite games from my childhood. I can call it the king of turn-based strategy games. Once again, while playing Heroes, I thought about what a castle from a game could look like in 3D, but all I had was a low quality screenshot.
If you prefer the video format, I will leave a link to the video at the end of the post.
Hello everyone, this is Denis Weber.
Today I’m going to talk about what happens if you combine LEGO and the iconic movie Terminator 2. I’ll show you how I created a real LEGO trailer and what came out of it. I like doing such large-scale projects and if you have any cool ideas, let me know in the comments.
If you prefer the video format, you can watch it here.
Hello, dear users of the IT world!
In the era of active development of web technologies and interactive applications, 3D-graphics is becoming more and more relevant and in demand. But how to create a 3D application without losing the advantages of web development? In this article, we will look at how to combine the power of Three.js with the flexibility of React to create your own game right in the browser.
This article will introduce you to the React Three Fiber library and teach you how to create interactive 3D games.
Manual lung segmentation takes about 10 minutes and it requires a certain skill to get the same high-quality result as with automatic segmentation. Automatic segmentation takes about 15 seconds.
I assumed that without a neural network it would be possible to get an accuracy of no more than 70%. I also assumed, that morphological operations are only the preparation of an image for more complex algorithms. But as a result of processing of those, although few, 40 samples of tomographic data on hand, the algorithm segmented the lungs without errors. Moreover, after testing in the first five cases, the algorithm didn’t change significantly and correctly worked on the other 35 studies without changing the settings.
Also, neural networks have a disadvantage — for their training we need hundreds of training samples of lungs, which need to be marked up manually.
