Quote:
Originally Posted by enzet
you have way less clue.
the white lines are clearly a bug of any kind of software. what make you believe it's a feature of some "cheating software"? there is no upside for the user to see white lines and the word "root.0" ten times on a poker layout for a flashing second, so it's clearly bug.
i'm sorry you don't understand why a tracking software has to scrape real time data from the screen. you have 0 evidence it is for something illegal, the only counfusing thing is why the font color and the lines are white instead of invisible.
i won't beef you back regardless of your efforts, sorry.
The thing is that PT/HM, etc do indeed scrape some data, but it's pretty much limited to screen names to match them with HUD boxes. The other details of hand histories are written on a hard drive by poker client
after a hand is over and then imported by tracking software. It can clearly be seen from the screenshot that the middle box scrapes board texture, the one left from it bet size, and next to it whether a player is in hand or not.
And with regard to your earlier post about needing a supercomputer to use GTO strategies in real time, you're wrong. If you get time intensive calculations out of the way it's just a matter of querying elements out of the resulting dataset. Let's say that you want to solve HU for 10bb deep by hand and use the results in-game. You know all the equations for the strategy, so you calculate the results (which takes a lot of time) and write them down. Now, when you're playing you don't have to calculate the strategy again each hand, but you can just reference the sheet of paper you wrote the results on.
Solvers work similarly by first calculating and then allowing to store the results for quick access. If you have a dataset of pre-calculated solutions, the main problem becomes getting the right solution out in a timely manner and that's where screen scrapers come in as they allow to automatically read information. The way the system works is that first, a screen scraper reads game state from a poker table and submits the relevant information to the program. Second, the program takes that information and cross-references it with the pre-calculated dataset of solutions. The dataset, in turn, sends the program back the corresponding solution to that one situation and finally, the program displays the solution to the user. The if the scraper and program are well-written and dataset not too large, the process would probably take less than a second or a couple of seconds maximum with absolutely no computational power needed.