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Evaluation of features for football analysis based on graph representation

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RQuispeC/football-retrieval

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Football retrieval project

Dependecies

This proyect was developed and tested under a linux distribution, dependecies are:

  • Python 3
  • matplotlib
  • jsonschema
  • tqdm
  • numpy
  • pandas
  • texttable
  • gensim
  • networkx
  • joblib
  • logging
  • flask
  • flask_cors

Basics

basic previous steps

  • Clone this repo
git clone https://github.com/RQuispeC/football-retrieval.git
  • Download the file shared by the professor

  • Create a directory data and unzip data in a directory dados_futebol. Final data should look like:

    data\
      dados_futebol\
        CapBotT1Suav.2d
        CapBotT1Vel.vel
        ...
        possecorfluT2.txt
    
  • main.py has examples for comparing players, teams and positions using terminal interface

python3 main.py

results will be save in the directory log/

Web interface

In order to start the web interface run

python3 server.py

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