I watch movies and read on my samsung fold and I enjoy it a lot
I watch movies and read on my samsung fold and I enjoy it a lot
Nah you just do heavy statistical analysis on data that already gets streamed from the client.
Here’s a better explanation than I could provide:
https://www.i3d.net/ban-or-not-comparing-server-client-side-anti-cheat-solutions/
What they could do is set a player surveillance system that tracks game by game averages on hundreds of different metrics like critical hit accuracy and prehit mouse acceleration and compares them to a baseline and any time any player stat moves past the average the system will increase their scrutiny level and perform more advanced analysis on them.
Another thing that could happen is the server could submit ghost data to suspicious clients and honeypot the cheat software into reacting to it.
You could also train an ML model on your game to watch highly suspicious players.
Ah yes you’re right
Could you just add *.lnk?
You don’t run it clientside
There’s no inexpensive functional anticheat system ftfy
You’re wasting your time. Your fingerprint is graded and discarded if you’re not reliable
Nuclear is green
Bro it’s the free space in the middle
I’d like an invite to deadlock!
Debian is not available for me know how to rotate
I understand that this comment isn’t helpful, but you’re gonna save yourself a lot of headaches by just transitioning to DaVinci Resolve.
Cool! As soon as the plant identity database is selfhostavle I’ll be digging into this!
I downloaded the zip file and then set up a venv to run the program. It’ll get easier soon though, eventually somebody will package it
It’s getting pretty easy:
https://github.com/hacksider/Deep-Live-Cam
I hqd this set this up in about 8 minutes on a moderate gaming PC. It’s pretty convincing
Why? Don’t get me wrong there are thousands of reasons to ditch google, but what the problem here?
This is desperately needed.
I saw sponsorblock-ml and am playing with it using whisperx for transcript/timestamps and ffmpeg for cutting out the timestamps that were detected by sponsorblock-ml then reserving that audio as an rss feed.
It’s not great so far though
I’ve been looking into sponsorblock-ml for an alternative approach
Filestash is buggy, you should report it on the github. Recently had some issues with open office as well