Skip to content

Latest commit

 

History

History
64 lines (47 loc) · 1.44 KB

README.md

File metadata and controls

64 lines (47 loc) · 1.44 KB
Raw

roop

Roop is a language and execution environment designed for image processing and computer vision. It is designed to encourage quick exploration and implementation, and built on top of OpenCV.

Motivating examples

Resizing an image to 1024x768

(set resized-image (resize (load images/foo.jpg) 1024 768))

Applying the Canny edge detecting algorithm on an image (the last argument controls how aggressively edges are detected - lower implies more edges will be found)

(canny (load images/foo.jpg) 20)

A documentation of all the functions in roop is found here.

Prerequisites

  • g++
  • cmake
  • opencv
  • boost
  • readline

Getting the prerequisites on Fedora

sudo yum instal gcc-g++ cmake opencv-devel boost-devel readline-devel

Installation

Go to the main project directory, you should see the following:

zenbowman@zenbowman-Pangolin-Performance:~/dev/github/roop$ ls	
images          README.md   roopscripts     thirdparty
CMakeLists.txt  LICENSE     rebuild-all.sh  src

To build:

bash rebuild-all.sh

Running examples:

From the build folder, try the following command:

./Roop ../roopscripts/demo3.cvl

You should see the Canny edge detection algorithm in action

Attribution:

This project uses Matt Sotille's excellent s-expression parser: http:https://syntacticsalt.com/software/