README.md

Overview

Download a YouTube video and extract frames for analysis.

Installation

1. Install python 3.x

2. Verify CLT installed brew config and check for CLT not 'N/A' if so, xcode-select --install

3. Install the latest version of OpenCV. Note, this will take a awhile as homebrew downaloads and compiles the source and all supportiung libraries

brew install opencv

Project setup

1. create a project dir mkdir ~/projects/xxx

2. Setup a python virtual env (3.6.4)

3. install python libs pip install numpy pip install matplotlib

4. Activate python env and verify setup

   >source ./env/bin/activate
   (env)>python
   Python 3.7.2 (default, Jan 13 2019, 12:50:01)
   [Clang 10.0.0 (clang-1000.11.45.5)] on darwin
   Type "help", "copyright", "credits" or "license" for more information.
   >>> import cv2
   >>> import numpy as np
   >>> import matplotlib as mplot
   >>>
   

Usage

1. Download a subject file for analysis (note, may be 100MB+) (env)>python download_video <youtube_url>

2. Extract frames for review (env)>python extract_frames.py <path>

3. Examine images in ./data folder