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README.md

CS-660-Semester-Project

Interactive Machine Learning Project to ID Stairs

Stan Rosenbaum - Fall 2017

Environment:

  • Anaconda 5.0 / Python 3.6
  • TensorFlow 1.1.0
  • Keras 2.0.8

The Main Scripts are probably:

* CS-660-SP-Notebook-1-V2.ipynb - More of a scratch pad.
* HumanOracle.py - The Human Oracle Script
* NNExploration.py - For Building and Manipulation of the Keras CNN
* CS660DataManagement.py - For Manipulating and Handling the Data

Folder Directory Structure:

\Anaconda - Jupyter Notebook and Python scripts
\Data - Collected Images and Point Cloud Data
\Data\Combined - All Collected data sorted into data flavors - The NORM and FLOP examples combined. '0' at end of name is NORM, '1' is FLOP.
\Data\Pickles - Python Pickles of the data it uses
\Data\Raw - The Raw Data
\Model_Structs - Saved Keras Models
\Notes - General Notes [like this]
\Results - Results from Training and Test Analysis, A Excel and CSV files mostly.
\Tensor_Log - For TensorBoard
\Tensor_Logs_Archive - Archive for above.

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CS-660-Semester-Project without the large file problem.

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