poetry new <project-name>poetry add <library>| This is free and unencumbered software released into the public domain. | |
| Anyone is free to copy, modify, publish, use, compile, sell, or | |
| distribute this software, either in source code form or as a compiled | |
| binary, for any purpose, commercial or non-commercial, and by any | |
| means. | |
| In jurisdictions that recognize copyright laws, the author or authors | |
| of this software dedicate any and all copyright interest in the | |
| software to the public domain. We make this dedication for the benefit |
| #!/bin/sh | |
| # to auto-run: | |
| # curl -fsSL https://gist.github.com/mrkyle7/e2574cb5feb633dea7a7/download | tar -xf- && bash giste2574cb5feb633dea7a7*/setup.sh && rm -r giste2574cb5feb633dea7a7* | |
| ##### Preparations ##### | |
| #----------------------- | |
| # Description is available at http://mlayer.org/tech/2014/11/25/setup-mac-os-x.html | |
| # install homebrew | |
| ruby -e "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)" | |
| brew install caskroom/cask/brew-cask # makes available to install apps as packages |
This face-boxer.py script is more-or-less the same code that you'll find in the OpenCV tutorial: Face Detection using Haar Cascades. For another variation, with more explanation, check out RealPython's tutorial.
The face-boxer.py script is designed to be run from the command-line. It has two required arugments: