Installation

Requirements

Our projects

• hadoopy (doc): Cython based Hadoop library for Python. Efficient, simple, and powerful.
• picarus_takeout: C/C++ module that contains the core picarus algorithms, separate so that it can be built as a standalone executable.

Third party

• Scipy
• OpenCV
• Hadoop (CDH recommended)

Useful Tools

These are all optional, but you may find them useful. Our projects (ordered by relevance)

• hadoopy_flow: Hadoopy monkey patch library to perform automatic job-level parallelism.
• vision_data: Library of computer vision dataset interfaces with standardized output formats.
• image_server: Server that displays all images in the current directory as a website (very convenient on headless servers).
• static_server: Server that allows static file access to the current directory.
• pycassa_server: Pycassa viewer.
• vision_results: Library HTML and Javascript tools to display computer vision results.
• hadoop_log: Tool to scrape Hadoop jobtracker logs and provide stderr output (simplifies debugging).
• pyram: Tiny parameter optimization library (useful when tuning up algorithms).
• mturk_vision: Mechanical turk scripts.