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This repository contains code for a research project in performing object tracking using deep learning and dynamic mode decomposition (DMD).

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kyle-pawlowski/dmd_object_tracking_study

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Environment Set-up

These are instructions for how to get your computer ready to run this code.

  1. Download Anaconda. This is a Python package management and virtual environment software. Similar softwares such as PIP (Package Installer for Python) and virtualenv will work too.

  2. Create a new environment with the required libraries. The libraries included with Anaconda which are required for this code are numpy, pandas, py-opencv, scipy, matplotlib, tensorflow, keras, pillow, sphinx.

conda create --name dmd_env python=3.7 numpy, pandas, py-opencv, scipy, matplotlib, tensorflow, keras, pillow, sphinx
  1. To start using this environment, it must be activated.
source activate dmd_env
  1. Now the PyDMD library must be installed separately using pip.
python3 -m pip install pydmd
  1. Now the files in this repository can be run using python3 scriptname.py.

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This repository contains code for a research project in performing object tracking using deep learning and dynamic mode decomposition (DMD).

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