Welcome to PyCVF’s documentation!

The PyCVF documentation is a work in progress... Help and contributions are welcome.

Contents:

• PyCVF a Computer Vision Framework.
  • PyCVF is first aim is to be a Framework
  • PyCVF aims at making computer vision as compact as English
  • PyCVF aims at making computer vision is targeted to scientists
• Before to Start
  • Essentials on Python for Scientists
• PyCVF Installation Procedure
  • Linux
  • Check your system
  • Start developping
  • Windows
  • Other Unixes and MacOS
• Some Other Packages You May Want to Install
  • Django_Pycvf
  • Panda
• (Old) PyCVF 0.1 Installation Procedure
  • Linux
  • Other Unixes and MacOS
  • Windows
• PyCVF by Example
  • Command line programs
• Django_pycvf
  • Security warning related to Django_pycvf
  • Installing Django_pycvf
  • Running Django_pycvf
• Readers
  • Temporality
  • Subsequence Reader
  • Mapped Reader
  • Incremental Reduce Reader
  • Methods
  • Audio metadata
  • Video metadata
• Audio data
• Image data
  • The data itself
• Video data
• Optical flow data
• Datasets
  • Overview
  • Labeling
  • Very Large Datasets
  • Implementation
  • Abstract Dataset Type
• Existing Datasets
  • Metadataset
  • Vector Datasets
  • Image related dataset
  • Image related pseudodatasets
  • Video related datasets
  • Web related datasets
  • Math related datasets
• Nodes
  • Abstract Database Type
  • Existing Nodes
• Structures
• Creating a PyCVF Package
  • Linking with C code
  • Linking with Python code
  • Making your module PyCVF compatible
• Machine Learning in PyCVF
  • Decision
  • Classification
  • Dimension Reduction
  • Clusterers
  • Density Estimation
  • Multiple Instance Learning
• This page summarizes strange things that may happen to you while developping with PyCVF 0.1
  • Unable to find/load a module while the path is actually correct
  • Strange result using laplace
  • Strange display

• http://pycvf.sourceforge.net/

Indices and tables

• Index
• Module Index
• Search Page