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README.md

Set up

  1. Clone to your computer:

     % git clone git@github.com:shkh/TrainingAssistant.git
    
  2. Add Jcrop:

     % cd TrainingAssistant
     % git submodule init
     % git submodule update
     % cd static/Jcrop
     % git checkout master
    
  3. Install python modules

     % pip install -r freezed.txt
    
  4. Add images into static/img

Run server

% python views.py

This command starts the Flask server on port 5000, visit http://localhost:5000.

リス可愛い

After all images will be processed, you will get info.dat and bg.txt; Respectively the list of positive samples and the list of negative samples.

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A tool for creating Open-CV training samples

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