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  DeeperMind pokerbot for pokerstars, partypoker and GGPoker

  This pokerbot plays

  automatically on Pokerstars, Partypoker and GG Poker. Any other table can?? be mapped as

  well. It works with image recognition, montecarlo simulation and a basic genetic

  algorithm. The mouse is moved?? automatically and the bot can potentially play for hours

  based on a large number of parameters.

  You can download the binaries?? and run the

  executable directly from here: http://deepermind-pokerbot

  Running the bot:

  Use Fast

  Forward Tables

  Select Official PartyPoker table scraper

  Use Zoom Tables

  Select Official

  ?? Poker Stars table scraper

  For Pokerstars you will need to make some adjustments to the

  client. It needs to look exactly?? as the below, in order to run it with the Official

  Pokerstars Table scraper:

  Make sure to match the card styles?? (4 color), covered card

  styles, and table styles.

  Make sure your GGPoker setup looks as follows when using it

  with the?? Official GGPoker Table:

  General setup:

  If you just want to run the bot, please

  do the following:

  Install the binearies of the bot?? from here:

  http://deepermind-pokerbot

  You can then immediately run the bot. It will analyze the

  poker client, move the mouse and play?? in accordance with one of its pre-programmed

  strategies. Most of the strategies are based on zoom or Fast Forward tables.?? You are

  welcome to edit and imporve any strategies to optmize the play of the bot for your

  needs.

  In most?? cases it may be useful to put the poker client inside a virtual machine

  to avoid it from interfering with?? the bot. Also, the bot will then be able to control

  the mouse inside the virtual machine, without blocking the?? whole computer:

  Download

  Virtualbox: //virtualbox/

  Download Windows 10 Iso File for example from here

  //softlay/apps/operating-system

  Create a new virtual box environment and use?? the

  ISO file as a startup

  Make sure to give the Virtualbox only 1 CPU as the computing

  power is needed?? for the bot (mainly for OCR)

  Install Partypoker or Pokerstars in the

  virtual box environment

  Install the pokerbot directly onto your computer?? (outside of

  the virtual box)

  In the Setup select your virtual box instance (instead of direct mouse

  control)

  Join the discord chat?? by pressing the chat button or joining this link:

  //discord.gg/xB9sR3Q7r3

  The current version Only works on windows

  Do not obstruct

  the view?? of the table as the bot is based on image recognition

  Only one table window

  should be visible.

  For best performance minimize?? all windows in the vm, except the

  table window itself

  Don't use any dpi scaling in the virtualbox

  In setup, try to?? select

  your virtual machine instead of direct mouse control. That way mouse movements won't

  obstruct you.

  Strategy Analyzer

  You can see the?? profitability of each strategy in the

  strategy analyzer.

  The bar chart indicates what action types have led to wins or losses

  ?? at each stage (preflop, flop turn and river)

  Looking at the stacked bar chart in more

  detail, gives you clues how?? to adjust the strategy to maximize your wins:

  Analyze

  individual rounds within each stage:

  Analyze individual hands:

  Strategy editor

  A

  variety of factors are?? taken into consideration when the bot makes decisions and they

  can be adjusted in the strategy editor:

  Equity (winning probability), which?? is

  calculated by a montecarlo simulation

  Equity and minimum call/bet value need to be on

  the left of the corresponding curve?? in order for the bot not to fold

  Various other

  factors, such as behaviour in the previous rounds are taken into?? consideration. Check

  out the strategy editor for more details.

  Hover over each item to see a more detailed

  description

  A variety of?? other options can be edited for each strategy:

  Advice how to

  improve strategies:

  You will generally require at least 2000 hands played?? with a

  strategy to draw any conclusions. Even better 5000 hands. Anything less than 1000 hands

  is completely random.

  Best buy?? in more than the minimum, this will improve the bots

  performance as it has more leeway to play. For example?? on a 0.01/0.02 table, buy in

  more than the minimum ofR$2. Ideally start withR$4 or even more.

  Look at the strategy

  ?? analyzer and work your way backwards. First improve the River play, then once this is

  good move on to the?? Turn, then to the Flop etc. This is because the game is path

  dependent.

  If you make changes in the ranges,?? you may need to adapt all minimum

  equities as it changes the equity calculation.

  Good Luck!

  Full version:

  The full

  version allows you?? to:

  Edit and create new Strategies

  View all Strategies of all

  users

  To purchase, please follow this link. You'll then receive a password?? within 24

  hours. http://deepermind-pokerbot/purchase

  Alternatively you can contact me via email

  or discord and request a password directly and pay bitcoin?? to:

  1Py5o4WLYMizXc8pFPqzD4yeCAm53BhJit

  You can also get a free subscription if you make

  some meaningful contribution to the codebase.

  The easiest way to?? contribute is

  by:

  Adding new tables

  Adding new strategies

  Directly add fixes to the code and create a

  pull request

  Mapping new tables

  The bot?? can learn to read new tables, either by using

  templates or by training a neural network that uses data augmentation?? based on the

  given templates.

  Click this link to see a Video description how to add a new table or

  watch?? the video on deepermind-pokerbot

  The setup to add new tables looks like

  this:

  Open the pokerbot and click on table setup to?? open the window that helps you

  create new tables.

  Open the poker client next to it, make sure it's not dpi?? scaled, so

  the pokerbot can take screenshots.

  Start with creating a new template, you can do this

  by entering a name?? for your template, for example Pokerstars 1-2 zoom poker. Click on

  'Blank new'.

  Now the first think you want to do?? is to take a screenshot of the

  pokerstars window with the table. You can do this by pressing on the?? Take screenshot

  button. You should not see in the lower window a full screenshot of what is on your

  screen.

  The?? first step is now to mark the top left corner of the poker tables window,

  which will be the point?? of reference for everything else that will follow. To mark the

  top left corner, you need to mark it by?? first clicking on the top left part of it and

  then on the right lower part of it. once you?? have done this, it will appear in the

  second window. You can save it by clicking on the "save newly?? selected top left corner"

  button.

  Now you can crop it by pressing on the crop from top left corner button. This

  ?? will discard most of the screenshot and only keep the screenshot from the top left

  corner and everything a few?? hundred pixels to the right of it and below.

  Next you will

  want to mark everything else in the window. Start?? with the Buttons search area. You can

  do this again by clicking on the top left area of the buttons?? and then on the bottom

  right area of where the buttons appear. Once you are happy with the selection, click?? on

  the "Buttons search area".

  If you hover over the buttons, you will get a more detailed

  description of what you?? need to pay attention to.

  Note that you will need to take many

  screenshots, crop them (don't select the top left?? corner again, as this you should only

  do once), instead load it and then crop the image. After that make?? your selection of

  the different
  
  and save them by pressing on the corresponding button. You'll need

  to teach it?? every card and every button etc.

  Notes to keep in mind:

  IT IS NOT

  RECOMMENDED TO CONDUCT TESTS WITH REAL ACCOUNTS UNTIL?? YOU VERIFY THE CORRECT

  FUNCTIONING OF THE BOT (ALSO TO AVOID LOSS OF ACCOUNTS AND CAPITAL)

  Minimum system

  requirements to run?? the bot:

  Windows 10 x64 or later (It may work in previous versions

  but its correct operation has not been verified)

  RAM?? memory 4 GB or more

  hard drive

  space 1.6 GB (as always the more the better)

  Micro processor with 4 cores and?? 4 threads

  or higher

  GPU is not necessary (neural training gives the option to do it on

  GPU)

  screen resolution 1920*1800 (it?? can work with less but its correct operation has

  not been verified)

  consider the consumption of Virtual box if used and?? add them to the

  system explained above

  Poker apps usually run on W7 or higher

  VirtualBox version 7.0.12

  or higher with its?? respective expansion pack

  Running via docker

  $ git clone

  //github/dickreuter/Poker.git

  $ cd Poker

  $ docker compose up -d

  $ xhost

  local:root # This permits the?? root user on the local machine to connect to X windows

  display

  $ docker-compose exec app python3 main.py # once the?? container is running you

  can launch the bot with this command

  Running via python source code

  Download pycharm

  communite edition as an?? IDE from here:

  //jetbrains/pycharm/download/#section=windows

  Install anaconda

  //anaconda/products/distribution

  Create an environment with pip install -r

  requirements.txt and separately run pip install tesserocr

  and separately?? run pip

  install tesserocr You also may need to get c++ runtime distributable:

  //visualstudio.microsoft/downloads/

  Install virtualbox from

  //virtualbox/wiki/Downloads and put the?? poker client into the virtual box. That

  way it can be controlled without having to use the mouse in your?? main window.

  Run

  main.py from pycharm after setting up the above created virtual environment as

  interpreter (check youtube)

  Packages and modules:

  main.py: entry?? point

  Contains user

  interface and routines that help map new tables

  recognize_table : Functions to

  recognize the different items on the table,?? based on the created mapping

  : Functions to

  recognize the different items on the table, based on the created mapping

  screen_operations?? : Various routines, such as taking screen shots, cropping etc

  :

  Various routines, such as taking screen shots, cropping etc table_setup?? : Routines in

  relation to the gui

  : Routines in relation to the gui ui_table_setup : QT user

  interface. Corresponding py?? file is created with makegui.bat in the parent folder. To

  edit the gui download QT Designer and open the .ui?? file.

  decisionmaker.py : The

  ultimate decision what action should be taken based on the input

  : The ultimate

  decision what action should?? be taken based on the input montecarlo_numpy2.py : fast

  numpy based montecarlo simulation to calculate equity. Not yet working correctly.?? Some

  tests are failing. Feel free to fix them.

  : fast numpy based montecarlo simulation to

  calculate equity. Not yet working?? correctly. Some tests are failing. Feel free to fix

  them. montecarlo_python.py : relatively slow python based montecarlo for equity

  calculation.?? Supports preflop ranges for other players.

  test_montecarlo_numpy.py :

  tests for the numpy montecarlo

  : tests for the numpy montecarlo test_pylint.py : pylint

  ?? and pydoc tests to ensure pep8 standards and static code analysis

  Graphical user

  interface (gui)

  Download QT for open source project:

  //qt.io/download-open-source

  Use?? the qt designer to edit any of the .ui files in

  gui/ui

  Next Priorities

  [ ] Update tests. Some are currently outdated.?? More tests are

  needed

  [ ] Add more strategies

  [ ] Switch from using pytesseract to tesserocr to speed

  up OCR, this?? should considerably speed up the bot

  [ ] Better Analyze the collected data

  to improve strategies

  Making fixes in the code

  Fixing code?? and making a pull request

  back into the origin/master:

  It will be hard for one person alone to beat the world?? at

  poker. That's why this repo aims to have a collaborative environment, where models can

  be added and evaluated.

  To contribute?? do the following:

  Get Pycharm and build the

  virtual python environment. Use can do: pip install -r requirements.txt (see

  above)

  (see above)?? Clone your fork to your local machine. You can do this directly from

  pycharm: VCS --> check out from version?? control --> git

  Add as remote the original

  repository where you created the fork from and call it upstream (the connection?? to your

  fork should be called origin). This can be done with vcs --> git --> remotes

  Create a

  new branch:?? click on master at the bottom right, and then click on 'new branch'

  Make

  your edits.

  Ensure all tests pass. Under file?? --> settings --> python integrated tools

  switch to pytest. You can then just right click on the tests folder and?? run all tests.

  All tests need to pass. Make sure to add your own tests by simply naming the funtion

  ?? test_...

  Make sure all the tests are passing. Best run pytest as described above (in

  pycharm just right click on the?? tests folder and run it). If a test fails, you can

  debug the test, by right clicking on it and?? put breakpoints, or even open a console at

  the breakpoint:

  //stackoverflow/questions/19329601/interactive-shell-debugging-with-pycharm

  Commi

  t your changes (CTRL+K}

  Push your changes to your origin (your?? fork) (CTRL+SHIFT+K)

  To

  bring your branch up to date with upstream master, if it has moved on: rebase onto

  upstream master:?? click on your branch name at the bottom right of pycharm, then click

  on upstream/master, then rebase onto. You may?? need to resolve soe conflicts. Once this

  is done, make sure to always force-push (ctrl+shift+k), (not just push). This can?? be

  done by selecting the dropdown next to push and choose force-push (important: don't

  push and merge a rebased branch?? with your remote)

  Create a pull request on your github

  to merge your branch with the upstream master.

  When your pull request?? is approved, it

  will be merged into the upstream/master.

  Please make sure that all tests are passing,

  including the pylint test.?? You can either run them locally on your machine, or when you

  push check the travis log on github. [currently?? many are failing, feel free to help

  fixing them!]

  FAQ

  No top left corner

  Make sure everything looks exactly like in the

  picture?? at the top of this documentation. The buttons need to look exactly like this

  and it needs to be in?? English and not scaled. Colours need to be standard. Most tables

  are mapped to real money. They won't work with?? play money. The poker table window has

  to be fully visible and cannot be scaled, otherwise it won't be detected?? properly. In

  Partypoker, when you open the table, choose table options and then choose back to

  default size to make?? sure the table is in default size.

  Tables are mapped for fast

  forward and zoom games with real money. Use the?? Supersonic3 table for Partypoker or

  McNaught table in Pokerstars.

  If things still don't work, consider teaching it a new

  table as?? described above.

  Cards not recognized

  Make sure everything looks exactly like

  in the picture at the top of this documentation. Make sure?? to use real money. Tables

  are different for play money. Ensure you are seated at the position as shown in?? the

  picture above. Currently the bot only works for tables with 6 players.

  Do I need to use

  a virtual machine?

  For?? Pokerstars you definitely do, otherwise you will be blocked and

  your account will be frozen within minutes. For Partypoker I'm?? not sure. But best check

  the terms and conditions.

  Analyzing the log and reporting problems

  In the folder where

  you installed the?? pokerbot, there is a subfolder with the log files in /log. There are

  also screenshots in /log/screenshots that may be?? able to help debug the problem.

  Create

  a issue on the link at the top of this github page

  //github/dickreuter/Poker/issues or?? email dickreuter@gmail.

  Related

  projects

  Training the bot by playing against itself is a separate project which can be

  found here: //github/dickreuter/neuron_poker

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