Metadata-Version: 1.0
Name: viset
Version: 0.3.1
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 streaming computer vision datasets.
        A VISET is a redistributable HDF5 file used for sharing datasets,
        which provides a common python programming interface for 
        downloading and caching datasets for typical evaluation tasks.
        
        VISET supports iterating over large image datasets in a pythonic way:
        
        dbfile = viset.caltech.Caltech101().export()      # create database file (once)
        db = viset.dataset.Viset(dbfile)                         # download and cache dataset
        for (image, annotation) in db.annotation.categorization: # data stream iterator
            ...
        
        VISET supports iterating over various dataset partitions:
        
        for fold in db.annotation.categorization(strategy='kfold', folds=3): 
            for (im,annotation) in fold.train:   # training split
                ... 
            for (im,annotation) in fold.test:    # testing split
                ...
        
        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)
        10. Pascal VOC 2012 
        ... 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://scikit-learn.org/
        2. http://jaberg.github.io/skdata/
        3. http://mldata.org
        
        
        
        
        
        
Keywords: computer-vision,vision,robotics,perception,image,dataset
Platform: UNKNOWN
