3 ms·

As an avid CoD player, I literally have no idea why this would be useful. Map data isn’t really interesting. The player data seems far too low of resolution to

As an avid CoD player, I literally have no idea why this would be useful. Map data isn’t really interesting. The player data seems far too low of resolution to be meaningful.

a_e_k 2y ago
These sorts of data sets can be useful for graphics research, particular as a data set to test ray tracing algorithms on. See for example, the Moana Island data set. [1] I definitely foresee papers on BVH construction using this scene. For graphics research in academia, there's a dearth of real-world data sets like this, so the ones that do get released are gold. And for graphics research in industry, one may have access to good internal data sets for development and testing, but getting permission to publish anything with them tends to be a giant hassle. It's often easier to just use publicly available data sets. Plus, that makes it easier to compare results across papers. [1] https://www.disneyanimation.com/resources/moana-island-scene/ https://www.disneyanimation.com/resources/moana-island-scene...
- modeless 2y ago
  The Moana island has complete material data though. This release seems to be only geometry. No materials or textures at all.
  - a_e_k 2y ago
    Yep. That's still fine for building BVHs and shooting some rays around.
- SkyPuncher 2y ago
  Thank you for explaining that. Very helpful.
minimaxir 2y ago
Since they provide player movement data, you can train a transformer to predict which player will win the BR given movement patterns. Or maybe create "player embeddings" to see if player behaviors can be clustered. That could be a fun project...but definitely not useful. Extracting and converting the player data from the .usd files would not be fun, though.
- highcountess 2y ago
  Given all the other variables that introduce a bunch of noise to the player movement data, I doubt you could ever determine any useful predictive pattern. If anything though, I could see how player behavior of match winners could be used to both identify varying level of cheaters and players that use various methods for providing an advantage (i.e., keyboard mouse, joystick extensions, etc) and automatically sequester or even handicap their accounts. It appears to me that so much effort is placed on trying to identify and hamper cheaters in real time, when that both seems extremely resource intensive and unnecessary, considering you have all the digital evidence proof of cheating you need after the fact, you just have to understand what you are looking at.
  - buran77 2y ago
    > so much effort is placed on trying to identify and hamper cheaters in real time, when that both seems extremely resource intensive and unnecessary, considering you have all the digital evidence proof of cheating you need after the fact, you just have to understand what you are looking at It's not resource intensive at all compared to the alternative of ahaving humans doing post match reviews. It's all "AI" and automated reviews because it's cheaper. Half of the "anti-cheat" tactic is anyway using your computer resources to run some anti cheat tool. These games are optimized for revenue so every action is dictated by that. Including catching/banning cheaters. If it costs too much to do it properly, or (and this is actually plausible) cheaters are a significant enough portion of the already small chunk of players who create recurring revenue, then there's no incentive to take real action. This data is probably useful for actual academic rather than practical purposes today. They're building the knowledge they might want to use in a few years.
  - amonon 2y ago
    >Given all the other variables that introduce a bunch of noise to the player movement data, I doubt you could ever determine any useful predictive pattern. Predicting a winner will be difficult but I would not be surprised if you could loosely predict rank (does Warzone track player rank?) off of movement alone. You may be able to predict more accurately by looking at the associations between two players and their movement. From my prior experience in FPS games, positioning, awareness, and aim are the core pillars of success. Unfortunately as far as I can tell from the data set, only player position is tracked.
Cthulhu_ 2y ago
It sounds like this is simply not for you, then, and that's fine.

As an avid CoD player, I literally have no idea why this would be useful. Map data isn’t really interesting. The player data seems far too low of resolution to be meaningful.

a_e_k 2y ago

These sorts of data sets can be useful for graphics research, particular as a data set to test ray tracing algorithms on. See for example, the Moana Island data set. [1] I definitely foresee papers on BVH construction using this scene. For graphics research in academia, there's a dearth of real-world data sets like this, so the ones that do get released are gold. And for graphics research in industry, one may have access to good internal data sets for development and testing, but getting permission to publish anything with them tends to be a giant hassle. It's often easier to just use publicly available data sets. Plus, that makes it easier to compare results across papers. [1] https://www.disneyanimation.com/resources/moana-island-scene/ https://www.disneyanimation.com/resources/moana-island-scene...

modeless 2y ago
The Moana island has complete material data though. This release seems to be only geometry. No materials or textures at all.
- a_e_k 2y ago
  Yep. That's still fine for building BVHs and shooting some rays around.
SkyPuncher 2y ago
Thank you for explaining that. Very helpful.

minimaxir 2y ago

Since they provide player movement data, you can train a transformer to predict which player will win the BR given movement patterns. Or maybe create "player embeddings" to see if player behaviors can be clustered. That could be a fun project...but definitely not useful. Extracting and converting the player data from the .usd files would not be fun, though.

highcountess 2y ago
Given all the other variables that introduce a bunch of noise to the player movement data, I doubt you could ever determine any useful predictive pattern. If anything though, I could see how player behavior of match winners could be used to both identify varying level of cheaters and players that use various methods for providing an advantage (i.e., keyboard mouse, joystick extensions, etc) and automatically sequester or even handicap their accounts. It appears to me that so much effort is placed on trying to identify and hamper cheaters in real time, when that both seems extremely resource intensive and unnecessary, considering you have all the digital evidence proof of cheating you need after the fact, you just have to understand what you are looking at.
- buran77 2y ago
  > so much effort is placed on trying to identify and hamper cheaters in real time, when that both seems extremely resource intensive and unnecessary, considering you have all the digital evidence proof of cheating you need after the fact, you just have to understand what you are looking at It's not resource intensive at all compared to the alternative of ahaving humans doing post match reviews. It's all "AI" and automated reviews because it's cheaper. Half of the "anti-cheat" tactic is anyway using your computer resources to run some anti cheat tool. These games are optimized for revenue so every action is dictated by that. Including catching/banning cheaters. If it costs too much to do it properly, or (and this is actually plausible) cheaters are a significant enough portion of the already small chunk of players who create recurring revenue, then there's no incentive to take real action. This data is probably useful for actual academic rather than practical purposes today. They're building the knowledge they might want to use in a few years.
- amonon 2y ago
  >Given all the other variables that introduce a bunch of noise to the player movement data, I doubt you could ever determine any useful predictive pattern. Predicting a winner will be difficult but I would not be surprised if you could loosely predict rank (does Warzone track player rank?) off of movement alone. You may be able to predict more accurately by looking at the associations between two players and their movement. From my prior experience in FPS games, positioning, awareness, and aim are the core pillars of success. Unfortunately as far as I can tell from the data set, only player position is tracked.

Cthulhu_ 2y ago

It sounds like this is simply not for you, then, and that's fine.