Computer Vision and Machine Learning with Python, Keras and OpenCV

Includes a demonstration of concepts with Gesture Recognition.

This was created as part of an educational for the Western Founders Network computer vision and machine learning educational session.

Demo

The final demo can be seen here and below:

Contents

notebook.ipynb contains a full tutorial of basic computer vision and machine learning concepts, including:

  • What computers see
  • Image Filters and Functions
    • Blurring
    • Dilating
    • Erosion
    • Canny Edge Detectors
    • Thresholding
  • Background Subtraction Techniques
    • Using a background image to find differences
    • Using motion based background subtraction algorithms
  • Contours
    • Finding and sorting contours
  • Tracking
  • (Deep) Neural Networks
  • (Deep) Convolutional Neural Networks
  • Demo Project: Gesture Recognition
    • Extracting the subject
    • Tracking the hand
    • Collecting data
    • Building the Neural Network
    • Preparing Data for Training
    • Training the Network
    • Plotting Model History

Note: Please check the issues on this repo if you're having problems with the notebook.

Installation Instructions ('$' means run this in terminal/command prompt, do not type '$')

Windows:

Mac/Linux: Manually installing packages

Mac:

  • For Miniconda, open terminal and navigate to the directory you downloaded Miniconda3-latest-MacOSX-x86_64.sh to and run:
  $ bash Miniconda3-latest-MacOSX-x86_64.sh
  • For Anaconda, double click the Anaconda3-5.0.1-MacOSX-x86_64.pkg file you downloaded

Linux:

  • For Miniconda, open a terminal and navigate to the directory you downloaded Miniconda3-latest-Linux-x86_64.sh to and run:
  $ bash Miniconda3-latest-Linux-x86_64.sh
  • For Anaconda, open a terminal and navigate to the directory you downloaded Anaconda3-5.0.1-Linux-x86_64.sh to and run:
  $ bash Anaconda3-5.0.1-Linux-x86_64.sh

All Platforms:

  • Create and activate a Python 3.5 conda environment called cv.
  $ conda create -n cv python=3.5

  $ source activate cv
  $ conda install numpy
  $ conda install matplotlib
  $ conda install keras

This should also install tensorflow

  $ conda install h5py
  $ conda install jupyter notebook
  $ conda install ipython
  $ conda install -c conda-forge opencv 

if the import cv2 does not work with this install, try instead:

  $ conda install -c https://conda.anaconda.org/menpo opencv3

Download Details:
Author: jrobchin
Source Code: https://github.com/jrobchin/Computer-Vision-Basics-with-Python-Keras-and-OpenCV
License:

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Computer Vision and Machine Learning with Python, Keras and OpenCV
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