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Namira Log-Analyzer

Python Script for parsing and analyzing agent2D soccer simulation rcl and rcg log files. This has been used in NAMIRA TPAS, a Tournament Planning and Analyzer Software.

Why is this useful?

  • Generating comprehensive data about your team performance on different matches.
  • Evaluating different capabilities of your team .
  • Using extracted data to train machine learning algorithm.

Getting Started

You just need python 3.x! and setuptools running on any OS.

Pre Installation

Ubuntu
sudo apt-get update
sudo apt-get install python3 python3-pip python3-setuptools python3-numpy python3-matplotlib

Installation

git clone https://github.com/Farzin-Negahbani/Namira_LogAnalyzer.git
cd Namira_LogAnalyzer

Then you can do one of the following methods:

Method 1

sudo python3 ./setup.py install

Method 2

pip install .

Uninstall

pip uninstall loganalyzer

Capabilities of this analyzer

This analyzer can report following match facts and information:

  • Pass
    • Pass Counting
      • In Width
      • In Length
      • In 9 determined regions (A, B, ... I)
      • True Passes
    • Pass Interception
    • Pass Accuracy
  • Shoot
    • Shoot Counting
      • In Width
      • In Length
      • In 9 determined regions (A, B, ... I)
      • On Target Shoots
      • Off Target Shoots
    • Shoot Accuracy
  • Possession
    • Possession in 9 determined regions (A, B, ... I) for the teams
    • Possession in 9 determined regions for each player (A, B, ... I)
    • Possession of any team or player in any custom region
  • Position
    • Cycles each player is in 9 determined regions (A, B, ... I)
    • Cycles each player is in any of custom regions (A, B, ... I)
  • Players' moved distance
  • Players' stamina usage
  • Players' stamina used per distance
  • Game Heatmap of teams
  • Kick count
  • Tackle count
  • Say count

Default Regions

How to Use

To check how to retrieve data, take a look at Testcase.py file.

As a Script

loganalyzer --path <log file without .rcl or .rcg >

As a Module

import loganalyzer
from loganalyzer import Parser
from loganalyzer import Game
from loganalyzer import Analyzer
parser = Parser('path to log file without .rcl or .rcg')
game = Game(parser)
analyzer = Analyzer(game)
analyzer.analyze()
left_team_pass = analyzer.pass_l
left_team_in_target_shoot = analyzer.in_target_shoot_l
left_team_agent_1 = game.left_team.agents[0].data

Publication

If you found this work useful in your research, please give credits to the authors by citing:

  • Asali, E., Negahbani, F., Tafazzol, S., Maghareh, M.S., Bahmeie, S., Barazandeh, S., Mirian, S., & Moshkelgosha, M. (2018). Namira Soccer 2 D Simulation Team Description Paper 2018. PDF
  • Asali, E., Moravej, A., Akbarpoor, S., Asali, O., Katebzadeh, M., Tafazol, S., ... & Haghighi, A. B. (2017). Persian Gulf Soccer 2D Simulation Team Description Paper 2017. In The 21th annual RoboCup International Symposium, Japan, Nagoya. PDF

Todo

  • Adding pass and shoot lenght attributes