mitmedialab / LM_Session3_supervised_learning

Learning Machines Workshop -- Session 3: Supervised Learning Activity -- Camera

Repository from Github https://github.commitmedialab/LM_Session3_supervised_learningRepository from Github https://github.commitmedialab/LM_Session3_supervised_learning

LM_Session3_supervised_learning

Learning Machines Workshop -- Session 3: Supervised Learning Activity -- Camera

Your goal is to build an AI model to automatically drive the drone through a gate

Follow the Supervised Learning steps to do so:

SML_stepsdrone_gate

#This version is using your camera instead of the drone's

Installation

  • Clone the repo git clone https://github.com/mitmedialab/LM_Session3_supervised_learning.git
  • Change the directory to cd LM_Session3_supervised_learning
  • Start python virtual environment virtualenv --python=python3 python
  • Run activation script (re-run whenever entering a new terminal) source activate
  • Install python dependencies pip install -r requirements.txt

How to get everything running

  • Start LearningMachines (in new terminal) source activate && jupyter lab

About

Learning Machines Workshop -- Session 3: Supervised Learning Activity -- Camera

License:MIT License


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Language:Python 68.3%Language:Jupyter Notebook 31.7%