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Model-Generation-w-Matplotlib

Author: Jonathan Xu & Jinming Xu

This piece of module was designed to use matplotlib to generate images and their XML files to make datasets to train a simple tensorflow modle that could detect shapes and their colors with transfer learning. This was used as a forerunner of a more advanced model using transfer learning to build an autonomous lawnmower called Handibot.

Modules used:

  • numpy
  • matplotlib.pyplot
  • random
  • time

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Using Matplotlib to create a simple dataset for a Tensorflow Model

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