Metadata-Version: 1.0
Name: viset
Version: 0.1.12
Summary: Computer Vision Datasets
Home-page: http://pypi.python.org/pypi/viset
Author: Jeffrey Byrne
Author-email: jeff@visym.com
License: UNKNOWN
Description: Package: VISET: Computer Vision Datasets  
        Author: Jeffrey Byrne <jeff@visym.com>  
        URL: https://bitbucket.org/visym/viset/
        
        VISET is a python package for creating computer vision datasets.
        VISET generates redistributable HDF5 files for sharing datasets,
        and provides a common python programming interface for 
        downloading and caching datasets for typical evaluation tasks.
        
        VISET support training and testing splits in a pythonic way:
        
        dbfile = viset.caltech.Caltech101().export()    # create database (once)
        db = viset.dataset.Viset(dbfile, split='2fold')  # download dataset
        for (image,annotation) in db['train']:                # iterate over training set
            ...train classifier
        for (image,annotation) in db['test']:
            ...test classifier
        
        VISET is useful for sharing large annotated datasets defined by URLs
        and large image archive files.  Researchers can post their VISET dataset
        file (e.g. caltech101.h5) files online to share an annotated dataset for
        easy reuse.
        
        VISET currently exports:
        
        1. ImageNet-Fall2011  
        2. Caltech101  
        3. Caltech256  
        4. ETHZ shapes
        5. ETHZ extended shapes
        6. MNIST
        7. LabelMe3
        8. Weizmann Horses (single scale)
        9. Weizmann Horses (multiscale scale)
        ... more coming!
        
        See demo_viset.py for an example of usage.
        
        Try it:
        
        sh> pip install viset
        
        Inspired by the excellent work at:
        
        1. http://jaberg.github.io/skdata/
        2.  http://mldata.org
        
        
        
        
        
Keywords: computer-vision,vision,robotics,perception,image,dataset
Platform: UNKNOWN
